Alternatives to Edgee
Compare Edgee alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Edgee in 2026. Compare features, ratings, user reviews, pricing, and more from Edgee competitors and alternatives in order to make an informed decision for your business.
-
1
OpenRouter
OpenRouter
OpenRouter is an AI model routing platform that gives developers access to hundreds of models through a single unified API. It connects users with models from providers such as OpenAI, Anthropic, Google, Meta, Mistral, DeepSeek, Qwen, xAI, and many others. The platform supports text, image, video, and audio generation while allowing developers to use one API key and a consistent interface across providers. OpenRouter can route requests based on price, performance, and availability, with fallback options that help maintain service when a provider experiences downtime. It also offers configurable data policies so organizations can control which providers receive prompts and how requests are handled. Developers can purchase credits, choose from more than 500 active models across over 80 providers, and integrate OpenRouter using an OpenAI-compatible API.Starting Price: Free -
2
OpenCompress
OpenCompress
OpenCompress is an open source AI optimization layer designed to reduce the cost, latency, and token usage of large language model interactions by compressing both input prompts and generated outputs without significantly affecting quality. It works as a drop-in middleware that sits in front of any LLM provider, allowing developers to use models like GPT, Claude, Gemini, and others while automatically optimizing every request behind the scenes. It focuses on reducing token waste through a multi-stage pipeline that includes techniques such as code minification, dictionary aliasing, and structured compression of repeated content, enabling more efficient use of context windows and lowering computational overhead. It is model-agnostic and integrates seamlessly with any provider that supports an OpenAI-compatible API, meaning developers can adopt it without changing their existing workflows or infrastructure.Starting Price: Free -
3
LLMetrics
LLMetrics
LLMetrics is LLM cost tracking software for teams shipping AI products, bringing model spend, token usage, feature attribution, and usage alerts into one live dashboard. It supports more than 100 models across OpenAI, Anthropic, Google Gemini, Mistral, Cohere, Together AI, Groq, and other providers, with pricing data synchronized daily. Teams tag each model call with a feature name, provider, model, input tokens, and output tokens, allowing them to see exactly whether a chatbot, summarizer, search feature, lesson generator, or other workflow is driving spend. Real-time updates and daily trend charts reveal how costs change after releases, prompt edits, traffic growth, or model swaps. Spend thresholds and spike-detection rules can alert teams through email or Slack when usage patterns look wrong, helping them catch runaway loops and unexpected cost increases before the provider invoice arrives.Starting Price: $49 per month -
4
Cheaper Inference
Keak
Cheaper Inference is an OpenAI-compatible API gateway that provides access to AI models from multiple providers through a single API key, without requiring users to change their request format. Developers can switch by replacing the provider base URL and API key while keeping the same model, messages, tools, streaming settings, and response handling. It supports text and image models, vision-capable chat requests, streaming, prompt caching, reasoning controls, and temporary image uploads for larger vision payloads. Models are selected per request, and the catalog can be filtered by type, vision, reasoning, streaming, or provider. Automatic retries handle network and provider failures, while eligible fallback routes can be tried before a request fails. Every request is visible in History, giving teams a record of request volume, token usage, and operational activity.Starting Price: $0.48 per output -
5
Crazyrouter
Crazyrouter
Crazyrouter is an AI API gateway that gives developers access to 300+ AI models through a single API key. Compatible with the OpenAI SDK format, it supports GPT-5, Claude, Gemini, DeepSeek, Llama, Mistral, and hundreds more — all at prices up to 50% lower than going direct to providers Key Features: • One API key for 300+ models (OpenAI, Anthropic, Google, Meta, etc.) • OpenAI-compatible API format — zero code changes to switch • Pay-as-you-go pricing with no monthly subscriptions • Built-in load balancing, failover, and rate limit management • Real-time usage dashboard and token tracking • Support for text, image, video, audio, and embedding models • Enterprise-grade uptime with multi-region infrastructure Ideal for developers, startups, and teams who want to experiment with multiple AI models without managing separate API keys and billing accounts.Starting Price: Free -
6
LLM Gateway
LLM Gateway
LLM Gateway is a fully open source, unified API gateway that lets you route, manage, and analyze requests to any large language model provider, OpenAI, Anthropic, Gemini Enterprise Agent Platform, and more, using a single, OpenAI-compatible endpoint. It offers multi-provider support with seamless migration and integration, dynamic model orchestration that routes each request to the optimal engine, and comprehensive usage analytics to track requests, token consumption, response times, and costs in real time. Built-in performance monitoring lets you compare models’ accuracy and cost-effectiveness, while secure key management centralizes API credentials under role-based controls. You can deploy LLM Gateway on your own infrastructure under the MIT license or use the hosted service as a progressive web app, and simple integration means you only need to change your API base URL, your existing code in any language or framework (cURL, Python, TypeScript, Go, etc.)Starting Price: $50 per month -
7
FastRouter
FastRouter
FastRouter is a unified API gateway that enables AI applications to access many large language, image, and audio models (like GPT-5, Claude 4 Opus, Gemini 2.5 Pro, Grok 4, etc.) through a single OpenAI-compatible endpoint. It features automatic routing, which dynamically picks the optimal model per request based on factors like cost, latency, and output quality. It supports massive scale (no imposed QPS limits) and ensures high availability via instant failover across model providers. FastRouter also includes cost control and governance tools to set budgets, rate limits, and model permissions per API key or project, and it delivers real-time analytics on token usage, request counts, and spending trends. The integration process is minimal; you simply swap your OpenAI base URL to FastRouter’s endpoint and configure preferences in the dashboard; the routing, optimization, and failover functions then run transparently. -
8
Cloptima
Cloptima
Cloptima is an AI and cloud FinOps platform that brings LLM spend governance, multicloud cost intelligence, Kubernetes optimization, query analysis, and engineering cost controls into one operating model. Its AI gateway lets teams use their own OpenAI, Anthropic, Gemini, Vertex AI, and Amazon Bedrock credentials behind encrypted controls, then apply virtual keys, model policies, token limits, budgets, guardrails, and attribution before calls reach providers. Spend analytics break down usage by provider, model, team, application, environment, user, agent session, tool, workflow, and dimensions, while agent controls track retries, loops, tool calls, and runaway-cost risk. Exact and semantic response caching can reduce repeated usage, and intelligent routing can shift eligible traffic to cheaper or faster models with canary rollout and rollback if quality, latency, or errors regress.Starting Price: $49 per month -
9
condense.chat
condense.chat
condense.chat is an LLM input compression API and drop-in proxy that shrinks prompts, retrieved documents, tool outputs, and repeated agent context before they hit upstream models. Less context, same Claude Code; its harness intercepts an agent’s growing session history and passes it through compression models before it reaches the main model, helping long-running coding agents start each next turn with fewer tokens. Condense sits between an app and the upstream LLM provider, tracks the conversation as a content-addressed chain, and transparently compresses repeated context on the way upstream. Developers can point their SDK at the Condense provider route, add a Condense key, keep their existing provider key, and change nothing else. It supports Anthropic and OpenAI-compatible routes, plus pass-through behavior for other provider paths such as model lists and embeddings. -
10
AI Cost Board
AI Cost Board
AI Cost Board is an AI API observability and cost control platform that brings costs, requests, tokens, latency, errors, and usage from multiple model providers into one real-time dashboard. Applications route LLM traffic through a single proxy endpoint, while requests are forwarded to the connected provider and logged with model, token, status, timing, costs, input, output, and raw JSON context. In most cases, teams only replace the provider base URL and use an AI Cost Board project key, keeping the original request structure intact. It supports providers including OpenAI, Anthropic, and Google Gemini, with a consistent setup that standardizes usage data across integrations. Cost analytics break spending down by project, provider, model, and timeframe, showing trends, cost per request, success rates, and operational performance. Searchable request logs help developers inspect payloads, troubleshoot failures, compare models, and investigate slow or expensive calls.Starting Price: $9.99 per month -
11
OrcaRouter
OrcaRouter
OrcaRouter is an OpenAI-compatible AI model router that sends each prompt to the right model across OpenAI, Anthropic, Gemini, DeepSeek, Qwen, Kimi, and 200+ frontier and open source models. It is built to preserve frontier answer quality while reducing AI inference spend by grading every prompt and routing hard reasoning to frontier models and routine work to lower-cost open source models. The routing is quality-graded, never a blind, cheap-model swap, and each request shows the difficulty grade, selected model, provider, and cost so routes are visible, auditable, and reproducible. Developers can switch by changing the API base URL, while existing SDKs, model names, and streaming behavior continue to work as before. OrcaRouter supports automatic failover, so if a provider goes down mid-stream, traffic can switch transparently, and the application avoids user-facing errors. It also includes API key management with spend caps, model allowlists, rate limits, budget enforcement, and more.Starting Price: $29 per month -
12
Spanlens
Spanlens
Spanlens is an open-source (MIT) LLM observability platform that lets developers monitor every call their application makes to OpenAI, Anthropic, Gemini, Mistral, OpenRouter, Azure OpenAI, or a local Ollama model. Integration takes one line: swap your client's baseURL to the Spanlens proxy, or run "npx @spanlens/cli init" and the wizard rewrites your code automatically. From that moment, every request is recorded with its model, token counts, latency, cost, and full prompt and response body, with streaming responses reconstructed automatically. The dashboard turns that raw log into operational insight. Cost tracking breaks spend down per request, per model, and per end user, and parses prompt-cache tokens separately so you see real cache savings rather than sticker price. Agent tracing visualizes multi-step workflows as Gantt waterfalls and node-and-edge graphs, highlighting the critical path so you can find the slowest dependency chain in a fan-out. -
13
AIHubMix
AIHubMix
AIHubMix is an AI model API routing service that provides access to major language and multimodal models through one unified interface. It uses the OpenAI API format as its standard, allowing developers to connect with an AIHubMix API key and forwarding base URL, then switch between supported models simply by changing the model ID. It supports OpenAI-compatible, Anthropic-compatible, and native Google Gemini interfaces, making it easier to migrate existing applications and use different provider SDKs without rebuilding integrations. Its model catalog covers text generation, reasoning, coding, vision, web search, deep search, image and video generation, 3D generation, text-to-speech, speech-to-text, embeddings, reranking, structured outputs, moderation, and prompt caching. Model metadata can be filtered by type, input modality, capability, context length, coding suitability, and other properties to help teams select an appropriate option.Starting Price: Free -
14
Token360
Token360
Token360 is a unified AI gateway for business: a single OpenAI-compatible API that provides access to 80+ frontier AI models across text, image, audio, and video generation — including Seedance 2.5, Seedream 5.0 Pro, Kling, Veo 3.1, Claude, GPT, and Gemini. Teams integrate once and switch models with a parameter change; smart routing with automatic provider fallback keeps requests flowing when an upstream provider degrades. Pricing is pay-as-you-go at published per-model list prices. Token360 is an official ByteDance partner for the Seedance video generation model. Typical uses include adding video or image generation to existing products, evaluating language models side by side, and consolidating billing and quota management across AI providers. An interactive playground and developer documentation help teams make a first API call within minutes.Starting Price: Pay-as-you-go (usage-based) -
15
FinOps LLM
FinOps LLM
FinOps LLM is an AI cost management and LLM observability platform for engineering teams running production GenAI. It makes token spend visible across OpenAI, Anthropic, Amazon Bedrock, Google Gemini, Azure, Groq, and other providers and reconciles internal usage data against provider invoices. Token-level costs can be filtered by provider, model, feature, team, customer, environment, and custom dimensions, giving every dollar a clear owner. Attribution and chargeback tools map usage to product surfaces and customer cohorts, support showback, and export data to NetSuite, QuickBooks, CSV, or APIs. Real-time anomaly detection monitors spend, latency, and quality against rolling feature baselines, sending alerts through Slack, PagerDuty, email, or webhooks when behavior changes. Optional budget enforcement and auto-throttling can stop runaway agents, retries, or model shifts before they become expensive.Starting Price: $1,500 per month -
16
Cloudflare AI Gateway
Cloudflare
Cloudflare AI Gateway is an intelligent control plane for AI applications, built to connect to any model, dynamically route requests, and manage usage, billing, and logs from one unified gateway. It gives teams visibility and control over AI apps by connecting applications to AI Gateway, gathering insights on how people are using the application through analytics and logging, and controlling how the application scales with caching, rate limiting, request retries, model fallback, and more. AI Gateway helps reduce cost and latency by caching responses and reducing redundant API calls, so frequent requests can be served directly from Cloudflare’s cache instead of the original model provider. It improves reliability with dynamic controls that configure how and when model provider APIs are called based on attributes, fallbacks, latency, cost, or availability, with routing rules that can be adjusted from the dashboard or API without redeployments or downtime.Starting Price: $20 per month -
17
OfoxAI
OfoxAI
OfoxAI is a unified, OpenAI-compatible API gateway that gives developers and teams instant access to 100+ large language models — GPT, Claude, Gemini, DeepSeek, and more — through a single endpoint and one API key. Stop juggling multiple provider accounts, SDKs, and invoices: integrate once, switch models freely, and scale from a solo prototype to a full production team. Key features: One API Key, 100+ Models — Always up-to-date with the latest models from OpenAI, Anthropic, Google, DeepSeek, and more. Three Native Protocols — Full OpenAI, Anthropic, and Gemini SDK compatibility. Zero code migration — just swap the base URL. Low-Latency Access — Global routing with under 300ms average latency. Zero Markup Pricing — Pay official provider rates, with no surcharges or hidden fees. Built for Teams — Shared billing dashboard, per-member usage tracking, and budget controls. Flexible Payments — Credit card, PayPal, and major regional payment methods supported. -
18
PromptUnit
PromptUnit
PromptUnit is an AI inference proxy that reduces AI costs automatically by sitting between an app and its AI providers with no code changes required. Teams swap the base URL, keep the same SDK, endpoints, response parsing, and error handling, then PromptUnit handles routing, failover, cost tracking, and quality validation. It logs every API call by model, feature, user segment, token count, latency, and cost, giving real-time visibility into where AI spend is going before any routing changes go live. In observation mode, PromptUnit watches traffic, shadow-classifies requests, forecasts savings, and explains routing decisions so teams can see exact savings before enabling live routing. Once enabled, Smart Routing uses task classification to route each request to the cheapest model that clears the configured quality bar. PromptUnit also includes prompt compression, token inflation defense, prompt efficiency scoring, semantic request caching, and multi-model consensus. -
19
Oridica
Oridica
Ordica is an AI infrastructure layer designed to reduce the cost of using large language models by compressing prompts before they are sent to providers like GPT-4o, Claude, Gemini, or Grok. It operates as a lightweight proxy that sits directly in the request path, requiring no new dependencies. Users simply point their existing SDK to Ordica’s endpoint and continue using their current API keys unchanged. It processes prompts entirely in memory, compressing them in transit and forwarding them to the selected provider without storing, logging, or retaining any message content, ensuring that data privacy is preserved at every step. Ordica dynamically decides whether to compress a request based on confidence thresholds; if compression is expected to preserve output quality, it reduces token usage; if not, the request passes through unchanged, guaranteeing no degradation in responses. This approach allows developers to achieve measurable cost savings across different workloads.Starting Price: Free -
20
UnoRouter
UnoRouter
UnoRouter is an OpenAI-compatible LLM gateway. One API key gives you 200+ models across providers (OpenAI, Anthropic, Google and more), drop-in for coding agents like Claude Code, Cline, Codex and Kilo Code. Point any OpenAI SDK at the base URL and switch models without changing code. UnoRouter also includes a built-in chat and character client (personas, lorebooks, SillyTavern card import) on the same key. Usage-based pricing with a free tier, live model and price data.Starting Price: Free tier, usage-based -
21
Router
Ramp
Router is an LLM gateway built to reduce inference costs by matching each request to the lowest-cost model that still meets performance needs. It provides one endpoint and one API key for accessing multiple closed and open-source AI models from providers such as OpenAI, Anthropic, Grok, Fireworks, and others, helping developers avoid wiring applications to providers one at a time. Requests go through Router first, where usage, model, provider, and cost can be tracked before eligible workloads are routed to a more efficient option when quality will not be affected. Router Strategies let developers define cost and performance priorities for different types of requests or use benchmarked defaults based on real production workloads. It responds to live latency, availability, failures, and rate limits, and eligible requests can be moved to another available model when a provider cannot serve them. -
22
Concentrate AI
Concentrate AI
Concentrate AI is the LLM gateway for fast-growing teams, one API for every major LLM provider, with routing, spend, logs, and controls in one place. It helps teams securely access, use, and manage AI through a single API, so every request can find the smarter, faster, cheaper model for the workflow or task. Teams can access 130+ models, benchmark speed, quality, and cost, and route each workload to the best fit without wiring separate provider APIs into every environment. Support bots, coding agents, internal tools, chat, and batch jobs do not need the same model or the same route, so Concentrate lets teams pick a model slug, limit allowed providers, sort by live latency, use fallbacks, and reroute traffic when a provider slows down, errors, or hits a rate limit. It also gives engineering, finance, security, and leadership a shared view of AI usage with request-level logs, models, provider, duration, token counts, spend, error rates, alerts, and exports. -
23
Bifrost
Maxim AI
Bifrost is a high-performance AI gateway that unifies access to 20+ providers OpenAI, Anthropic, AWS, Bedrock, Google Vertex, Azure, and more, through a unified API. Deploy in seconds with zero configuration and get automatic failover, load balancing, semantic caching, and enterprise-grade governance. In sustained benchmarks at 5,000 requests per second, Bifrost adds only 11 µs of overhead per request. -
24
ZenLLM
ZenLLM
ZenLLM is an AI cost optimization platform for engineering teams running LLM applications in production. It connects provider invoices to the application behavior behind them, showing which prompts, workflows, models, customers, retries, and request paths are driving spend. Teams send request-level telemetry through the ZenLLM SDK and can attach business context such as workflow, owner, customer, team, or product feature without storing prompt or response content. It monitors token usage, model selection, latency, errors, retries, and cost, then surfaces the waste patterns hidden by aggregate provider dashboards. It detects context accumulation when conversations or agents resend growing histories, premium-model overuse on low-risk work, retry loops that repeat expensive context, stale system prompts, routing mistakes, anomalies, and weak cost ownership.Starting Price: $49 per month -
25
flo2
Data Products LLP
flo2 is an LLM gateway and router that provides access to major AI model providers (OpenAI, Anthropic, Groq, Cerebras, DeepInfra) through one unified, OpenAI-compatible API. Smart routing picks the cheapest or fastest model per request. Automatic fallback keeps applications running when a provider goes down. Racing mode runs requests across providers in parallel. Full cost accounting per request, per model, per project. Developers use their own provider keys via flo2.com — RapidAPI's testing tier includes free tokens for evaluation.Starting Price: 0 -
26
LLMeter
LLMeter
LLMeter is an open source AI cost monitoring platform that gives developers one dashboard for tracking spend across OpenAI, Anthropic, DeepSeek, OpenRouter, Mistral, and Azure OpenAI. Teams connect read-only provider keys and can see real costs, daily trends, model-level breakdowns, and optimization opportunities in about 30 seconds without installing an SDK, changing endpoints, or routing production traffic through a proxy. Because requests continue going directly to the model provider, LLMeter adds no latency, does not become a point of failure, and never sees prompts or completions. Budget alerts warn teams before spending crosses daily or monthly limits, while anomaly detection identifies unexpected usage spikes before they grow. The dashboard shows which providers, models, endpoints, customers, and environments are driving costs, and OpenRouter support extends visibility across more than 500 models.Starting Price: $19 per month -
27
BaronRouter
BaronRouter
BaronRouter is an AI gateway and chat platform that brings many leading AI models and providers into one unified interface. Users can chat with different models, compare responses side by side, save prompts, create projects, use public personas, upload files, and keep conversation history in one place. BaronRouter is built around reliability and model choice. Its smart router can select a suitable model for a task, while automatic retry and fallback help keep conversations working when a provider is rate-limited, unavailable, or fails. The platform also includes persistent memory, shared workspaces, prompt and persona galleries, model performance stats, admin controls, usage analytics, and an OpenAI-compatible public API for developers. Developers can call BaronRouter through standard OpenAI SDK clients, including support for public persona endpoints such as persona-based chat completions.Starting Price: Free -
28
AICosts.ai
AICosts.ai
AICosts.ai is a unified AI cost management platform that brings billing and usage data from more than 50 providers into one dashboard. Teams upload provider invoices and exports in PDF, CSV, or JSON format, or push usage events through the developer API, and the platform parses them into a normalized structure without requiring a proxy or changes to production requests. It supports services including OpenAI, Anthropic, Google Gemini, AWS Bedrock, Azure OpenAI, Vertex AI, Cohere, Groq, Hugging Face, Pinecone, RunwayML, Make, Zapier, and n8n. Daily views break spending down by platform, model, and billed unit, including tokens, operations, characters, and other provider-specific measures, helping users compare services and see where each bill comes from. Budgets can cover the full AI stack or a specific platform or feature, with email alerts when rolling 30-day spending crosses configured thresholds.Starting Price: $19.99 per month -
29
Koog
JetBrains
Koog is a Kotlin‑based framework for building and running AI agents entirely in idiomatic Kotlin, supporting both single‑run agents that process individual inputs and complex workflow agents with custom strategies and configurations. It features pure Kotlin implementation, seamless Model Control Protocol (MCP) integration for enhanced model management, vector embeddings for semantic search, and a flexible system for creating and extending tools that access external systems and APIs. Ready‑to‑use components address common AI engineering challenges, while intelligent history compression optimizes token usage and preserves context. A powerful streaming API enables real‑time response processing and parallel tool calls. Persistent memory allows agents to retain knowledge across sessions and between agents, and comprehensive tracing facilities provide detailed debugging and monitoring.Starting Price: Free -
30
DeepSeek-V2
DeepSeek
DeepSeek-V2 is a state-of-the-art Mixture-of-Experts (MoE) language model introduced by DeepSeek-AI, characterized by its economical training and efficient inference capabilities. With a total of 236 billion parameters, of which only 21 billion are active per token, it supports a context length of up to 128K tokens. DeepSeek-V2 employs innovative architectures like Multi-head Latent Attention (MLA) for efficient inference by compressing the Key-Value (KV) cache and DeepSeekMoE for cost-effective training through sparse computation. This model significantly outperforms its predecessor, DeepSeek 67B, by saving 42.5% in training costs, reducing the KV cache by 93.3%, and enhancing generation throughput by 5.76 times. Pretrained on an 8.1 trillion token corpus, DeepSeek-V2 excels in language understanding, coding, and reasoning tasks, making it a top-tier performer among open-source models.Starting Price: Free -
31
RouterBase
RouterBase
RouterBase is a unified API gateway that gives developers and teams access to 200+ AI models, including GPT, Claude, Gemini, Llama, Mistral and DeepSeek, through a single OpenAI-compatible endpoint. Instead of maintaining separate keys and billing for each provider, you switch models with one line of configuration. RouterBase adds smart routing, automatic failover across providers, and unified billing, so your application keeps running even when an upstream provider has an outage. A free tier is available with no credit card required.Starting Price: $0 -
32
Unity AI Gateway
Databricks
Unity AI Gateway provides centralized governance, observability, and spend controls across enterprise AI systems, helping organizations manage agents, tools, models, MCPs, and AI frameworks from a single governed layer. It applies consistent governance across Databricks-hosted AI, external models, coding agents, agent harnesses, and other AI services without locking teams into a single provider or stack. Identity-aware policies control what agents can access, which actions they can take, and which tools they can use, while built-in, custom, and third-party guardrails enforce safety and compliance across prompts, responses, and interactions. It captures prompts, traces, tool calls, payload logs, audit logs, token usage, and policy decisions to monitor behavior, investigate incidents, and support compliance. Centralized cost controls track consumption across users, teams, applications, agents, and providers, with budgets, rate limits, and hard spend caps. -
33
Storm MCP
Storm MCP
Storm MCP is a gateway built around the Model Context Protocol (MCP) that lets AI applications connect to multiple verified MCP servers with one-click deployment, offering enterprise-grade security, observability, and simplified tool integration without requiring custom integration work. It enables you to standardize AI connections by exposing only selected tools from each MCP server, thereby reducing token usage and improving model tool selection. Through Lightning deployment, one can connect to over 30 secure MCP servers, while Storm handles OAuth-based access, full usage logs, rate limiting, and monitoring. It’s designed to bridge AI agents with external context sources in a secure, managed fashion, letting developers avoid building and maintaining MCP servers themselves. Built for AI agent developers, workflow builders, and indie hackers, Storm MCP positions itself as a composable, configurable API gateway that abstracts away infrastructure overhead and provides reliable context.Starting Price: $29 per month -
34
Tokonomics
Tokonomics
Tokonomics is an AI cost metering proxy that sits between your app and any LLM provider. One URL change gives you real-time cost tracking, budget alerts, and hard spending caps across OpenAI, Anthropic, DeepSeek, Google Gemini, Mistral, Groq, and more. How it works: Replace your LLM base URL with Tokonomics, keep your existing code. Every API call is logged with token counts, cost (8-decimal USD precision), latency, and custom tags for per-team or per-feature attribution. Key features: - Budget alerts via email, Slack, or Teams at configurable thresholds - Hard spending caps that block requests when monthly budget is exceeded - Analytics dashboard with spend-by-model, daily trends, and cost optimization reports - BYOK (Bring Your Own Keys) with AES-256 encryption - Rate limiting per API key - Works with any language or HTTP client (PHP, Python, Node.js, Go, Ruby)Starting Price: $0/month -
35
AI Spend
AI Spend
Keep track of your OpenAI usage and costs with AI Spend and never be surprised again. AI Spend offers user-friendly cost tracking with a dashboard and notifications that passively monitor your usage and costs. The analytics and charts provide insights that help you optimize your OpenAI usage and avoid billing surprises. Get daily, weekly, and monthly notifications with your spending. Discover which models and how many tokens you're using. Get clear insights into how much OpenAI is costing you.Starting Price: $6.61 per month -
36
DeepSeek-OCR
DeepSeek
DeepSeek-OCR is an open source model for Contexts Optical Compression, built to explore the boundaries of visual-text compression and investigate the role of vision encoders from an LLM-centric viewpoint. It is designed to compress long contexts through optical 2D mapping, using DeepEncoder as the core engine and DeepSeek3B-MoE-A570M as the decoder. DeepEncoder maintains low activations under high-resolution input while achieving high compression ratios, keeping the number of vision tokens manageable for document understanding. The model supports OCR and document parsing workflows for images and PDFs, with inference through vLLM or Transformers. Users can run image OCR with streaming output, process PDFs with high concurrency, or run batch evaluation for benchmarks. DeepSeek-OCR can convert documents to Markdown, perform free OCR without layouts, parse figures, describe images in detail, and locate referenced text inside an image.Starting Price: Free -
37
ZenMux
ZenMux
ZenMux is an enterprise-grade AI gateway that provides a unified interface for accessing and orchestrating multiple leading large language models through a single account and API. Instead of managing separate providers, keys, and integrations, users can connect to top models from companies like OpenAI, Anthropic, Google, and others through one consistent system, fully compatible with existing protocols such as OpenAI and Gemini Enterprise Agent Platform. It eliminates the complexity of multi-provider setups by offering intelligent routing that automatically selects the most suitable model for each task based on cost, performance, and reliability. ZenMux emphasizes direct access to official providers and authorized cloud partners, ensuring that all outputs come from authentic, high-quality sources without proxies or degraded versions. One of its defining features is a built-in AI model insurance, which detects issues.Starting Price: $20 per month -
38
TensorZero
TensorZero
TensorZero is an open source LLMOps platform that unifies an LLM gateway, observability, evaluation, optimization, and experimentation. It creates a feedback loop for optimizing LLM applications, turning production metrics and human feedback into smarter, faster, and cheaper models and agents. The gateway lets teams integrate once and access every major LLM provider through a single unified API, including API and self-hosted models, with support for tool use, structured outputs, batch inference, embeddings, multimodal inputs, caching, routing, retries, fallbacks, load balancing, granular timeouts, usage tracking, custom rate limits, and provider-key protection. Built for performance in Rust, TensorZero is designed for extreme throughput and low-latency production workloads while still letting teams adopt only the components they need. Its observability layer stores inferences and feedback in the user’s own database, available programmatically or through the open source UI.Starting Price: Free -
39
Tokenhot
Tokenhot
Tokenhot is an OpenAI-compatible unified LLM API gateway that gives developers instant access to 100+ AI models from 30+ providers through a single endpoint. Why Developers Choose Tokenhot One-Line Migration: Fully compatible with OpenAI SDKs. Zero code rewrites. 100+ Models, 30+ Providers: From lightweight Haiku to advanced O3 and Claude Opus. Exclusive early access to Seedance 2.0 API. Up to 90% Cost Savings: Intelligent routing and aggregated purchasing automatically find the best price-performance ratio. Multi-Modal Ready: Text, vision, video generation, and TTS—all through one API. Zero KYC, Instant Start: No identity verification. Get your API key and go live in seconds. Enterprise Reliability: Multi-channel redundancy with automatic failover. Dedicated enterprise lines for high-concurrency workloads. -
40
Burnwise
Burnwise
Burnwise is an AI cost copilot that shows where an organization’s AI budget goes, why spending changes, and what actions can reduce it without sacrificing product quality. It tracks usage across LLMs, image generation, video, and audio from major providers through a single SDK and unified dashboard. Instead of stopping at aggregate token charts, Burnwise attributes costs to individual product features, users, sessions, teams, and agent workflows, helping teams understand the true cost of functions such as chat support, document analysis, summaries, or translation. Usage intelligence highlights cost-to-value mismatches, while anomaly alerts identify sudden spikes and runaway prompts in real time. Burnwise delivers a small set of prioritized decision cards with estimated savings, risk, and quality impact, covering actions such as switching models, enabling semantic caching, setting limits, or changing how a feature runs.Starting Price: €9 per month -
41
GPT-5 mini
OpenAI
GPT-5 mini is a streamlined, faster, and more affordable variant of OpenAI’s GPT-5, optimized for well-defined tasks and precise prompts. It supports text and image inputs and delivers high-quality text outputs with a 400,000-token context window and up to 128,000 output tokens. This model excels at rapid response times, making it suitable for applications requiring fast, accurate language understanding without the full overhead of GPT-5. Pricing is cost-effective, with input tokens at $0.25 per million and output tokens at $2 per million, providing savings over the flagship model. GPT-5 mini supports advanced features like streaming, function calling, structured outputs, and fine-tuning, but does not support audio input or image generation. It integrates well with various API endpoints including chat completions, responses, and embeddings, making it versatile for many AI-powered tasks.Starting Price: $0.25 per 1M tokens -
42
Repo Prompt
Repo Prompt
Repo Prompt is a macOS-native AI coding assistant and context engineering tool that helps developers interact with, refine, and modify codebases using large language models by letting users select specific files or folders, build structured prompts with exactly the relevant context, and review and apply AI-generated code changes as diffs rather than rewriting entire files, ensuring precise, auditable modifications. It provides a visual file explorer for project navigation, an intelligent context builder, and CodeMaps that reduce token usage and help models understand project structure, and multi-model support so users can bring their own API keys for providers like OpenAI, Anthropic, Gemini, Azure, or others, keeping all processing local and private unless the user explicitly sends code to an LLM. Repo Prompt works as both a standalone chat/workflow interface and an MCP (Model Context Protocol) server for integration with AI editors.Starting Price: $14.99 per month -
43
Vercel AI Gateway
Vercel
Vercel AI Gateway is a unified AI infrastructure platform that allows developers to access, manage, and route requests across hundreds of AI models and providers through a single API interface. Built as part of the Vercel AI ecosystem, the platform supports text, image, and video generation models from providers such as OpenAI, Anthropic, xAI, and others while simplifying authentication, billing, observability, and failover management. Developers can use one API key and centralized dashboard to integrate multiple AI providers into applications without managing separate provider accounts or infrastructure. The platform also includes built-in routing, automatic failovers, usage tracking, unified billing, and compatibility with SDKs such as the Vercel AI SDK, enabling faster development and more resilient AI-powered applications. -
44
GPT-5 nano
OpenAI
GPT-5 nano is OpenAI’s fastest and most affordable version of the GPT-5 family, designed for high-speed text processing tasks like summarization and classification. It supports text and image inputs, generating high-quality text outputs with a large 400,000-token context window and up to 128,000 output tokens. GPT-5 nano offers very fast response times, making it ideal for applications requiring quick turnaround without sacrificing quality. Pricing is extremely competitive, with input tokens costing $0.05 per million and output tokens $0.40 per million, making it accessible for budget-conscious projects. The model supports advanced API features such as streaming, function calling, structured outputs, and fine-tuning. While it supports image input, it does not handle audio input or web search, focusing on core text tasks efficiently.Starting Price: $0.05 per 1M tokens -
45
EUrouter
EUrouter
One API for 160+ AI models, all hosted in Europe. EUrouter is OpenAI-compatible, point your base URL at us and keep shipping, with GDPR compliance and EU data residency built in. Smart routing picks the right model for each request, spend controls keep your bill predictable, and your prompts never leave the EU. -
46
Parallel
Parallel
The Parallel Search API is a web-search tool engineered specifically for AI agents, designed from the ground up to provide the most information-dense, token-efficient context for large-language models and automated workflows. Unlike traditional search engines optimized for human browsing, this API supports declarative semantic objectives, allowing agents to specify what they want rather than merely keywords. It returns ranked URLs and compressed excerpts tailored for model context windows, enabling higher accuracy, fewer search steps, and lower token cost per result. Its infrastructure includes a proprietary crawler, live-index updates, freshness policies, domain-filtering controls, and SOC 2 Type 2 security compliance. The API is built to fit seamlessly within agent workflows: developers can control parameters like maximum characters per result, select custom processors, adjust output size, and orchestrate retrieval directly into AI reasoning pipelines.Starting Price: $5 per 1,000 requests -
47
DeepSeek-V4
DeepSeek
DeepSeek-V4 is a next-generation open-source language model designed for high-performance reasoning, coding, and long-context intelligence. It introduces a powerful architecture with up to one million token context length, enabling seamless handling of large datasets and complex multi-step workflows. The model comes in two variants: DeepSeek-V4-Pro for maximum performance and DeepSeek-V4-Flash for efficiency and speed. DeepSeek-V4-Pro features 1.6 trillion total parameters with 49 billion activated, delivering near state-of-the-art performance comparable to leading closed-source models. It excels in agentic coding, mathematical reasoning, and world knowledge tasks. The model integrates advanced attention mechanisms, including token-wise compression and sparse attention, significantly reducing compute and memory costs. It is also optimized for AI agents, supporting tool use and multi-step workflows.Starting Price: Free -
48
Cohere Embed
Cohere
Cohere's Embed is a leading multimodal embedding platform designed to transform text, images, or a combination of both into high-quality vector representations. These embeddings are optimized for semantic search, retrieval-augmented generation, classification, clustering, and agentic AI applications. The latest model, embed-v4.0, supports mixed-modality inputs, allowing users to combine text and images into a single embedding. It offers Matryoshka embeddings with configurable dimensions of 256, 512, 1024, or 1536, enabling flexibility in balancing performance and resource usage. With a context length of up to 128,000 tokens, embed-v4.0 is well-suited for processing large documents and complex data structures. It also supports compressed embedding types, including float, int8, uint8, binary, and ubinary, facilitating efficient storage and faster retrieval in vector databases. Multilingual support spans over 100 languages, making it a versatile tool for global applications.Starting Price: $0.47 per image -
49
Qwen3.5-Plus
Alibaba
Qwen3.5-Plus is a high-performance native vision-language model designed for efficient text generation, deep reasoning, and multimodal understanding. Built on a hybrid architecture that combines linear attention with a sparse mixture-of-experts design, it delivers strong performance while optimizing inference efficiency. The model supports text, image, and video inputs and produces text outputs, making it suitable for complex multimodal workflows. With a massive 1 million token context window and up to 64K output tokens, Qwen3.5-Plus enables long-form reasoning and large-scale document analysis. It includes advanced capabilities such as structured outputs, function calling, web search, and tool integration via the Responses API. The model supports prefix continuation, caching, batch processing, and fine-tuning for flexible deployment. Designed for developers and enterprises, Qwen3.5-Plus provides scalable, high-throughput AI performance with OpenAI-compatible API access.Starting Price: $0.4 per 1M tokens -
50
TokenAtlas
TokenAtlas
TokenAtlas is an AI FinOps and cost intelligence platform that helps teams understand, forecast, and optimize AI costs before they become expensive. Users describe a workload by entering the model, input and output token volumes, request counts, and growth assumptions, and TokenAtlas prices the scenario against a maintained catalog of published API rates. The cost modelling dashboard brings configured workloads into one view, while model comparison places provider and model options side by side using transparent assumptions. What-if scenario planning shows the cost impact of launching a new prompt, agent, model swap, retrieval pipeline, or traffic increase before it reaches production. Cost risk analysis identifies the workloads most sensitive to changes in volume, prompt size, or model choice, and benchmark comparisons show how a modeled model mix compares with typical AI product and infrastructure profiles.Starting Price: $190 per year
