DeepCoder

DeepCoder

Agentica Project
+
+

Related Products

  • Reflectiz
    33 Ratings
    Visit Website
  • PackageX OCR Scanning
    48 Ratings
    Visit Website
  • Eurekos
    96 Ratings
    Visit Website
  • Aikido Security
    239 Ratings
    Visit Website
  • QBench
    152 Ratings
    Visit Website
  • Setplex
    10 Ratings
  • Criminal IP ASM
    21 Ratings
    Visit Website
  • Mitti (by SafetyCulture)
    648 Ratings
    Visit Website
  • Evertune
    1 Rating
    Visit Website
  • CareLineLive
    182 Ratings
    Visit Website

About

DeepCoder is a fully open source code-reasoning and generation model released by Agentica Project in collaboration with Together AI. It is fine-tuned from DeepSeek-R1-Distilled-Qwen-14B using distributed reinforcement learning, achieving a 60.6% accuracy on LiveCodeBench (representing an 8% improvement over the base), a performance level that matches that of proprietary models such as o3-mini (2025-01-031 Low) and o1 while using only 14 billion parameters. It was trained over 2.5 weeks on 32 H100 GPUs with a curated dataset of roughly 24,000 coding problems drawn from verified sources (including TACO-Verified, PrimeIntellect SYNTHETIC-1, and LiveCodeBench submissions), each problem requiring a verifiable solution and at least five unit tests to ensure reliability for RL training. To handle long-range context, DeepCoder employs techniques such as iterative context lengthening and overlong filtering.

About

GLM-5.3-Flash is Z.ai’s natively multimodal model in the GLM-5 series (previously previewed as Ox Alpha), designed to deliver strong coding, agentic, visual, and knowledge-work performance at relatively low inference cost. It uses 320 billion total parameters with 18 billion active parameters, along with a hybrid architecture that combines sparse and linear attention to reduce the cost of long-context processing. The model supports context lengths of up to one million tokens and was trained on a 30-trillion-token multimodal corpus. GLM-5.3-Flash can reason across text, images, documents, interfaces, dashboards, and other visual information while using that feedback to refine its own outputs. Z.ai reports substantial gains over GLM-5.2 on coding and agentic benchmarks, including DeepSWE and AutomationBench, while approaching higher-cost frontier models on several evaluations.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers, researchers, and enthusiasts wanting a tool to generate, debug, or reason about code without relying on proprietary models

Audience

Developers, AI engineers, agent builders, researchers, and organizations that need cost-efficient multimodal reasoning, long-context processing, advanced coding, visual analysis, and autonomous workflow capabilities

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

$0.15 per 1M tokens (input)
Input: $0.15 per 1M tokens
Output: $0.50 per 1M tokens
Cached input: $0.03 per 1M tokens
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5

Pros & Cons from Real Users

Pros

  • What makes it exciting is that it seems built for the exact workloads developers care about right now: long-horizon coding, complex reasoning, big-context analysis, and agentic workflows. A million-token context window is especially useful if you want to drop in a large repo, long spec, research corpus, or messy project history and have the model reason across it.

Cons

  • I would treat it as something exciting to test, not something to blindly trust with sensitive work. Even the independent Ox Alpha site warns that messages are processed by the upstream model API, so I would keep secrets, private code, and customer data out of it until there is a clearer owner, model card, privacy policy, and production story.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Agentica Project
Founded: 2025
United States
agentica-project.com

Company Information

Z.ai
Founded: 2019
China
z.ai

Alternatives

DeepSWE

DeepSWE

Agentica Project

Alternatives

Devstral 2

Devstral 2

Mistral AI
Devstral Small 2

Devstral Small 2

Mistral AI
GPT-5.6 Sol

GPT-5.6 Sol

OpenAI
MiniMax M3

MiniMax M3

MiniMax
DeepScaleR

DeepScaleR

Agentica Project
Qwen3.5

Qwen3.5

Alibaba

Categories

Categories

Integrations

Cheaper Inference
Claude Code
DeepSeek Harness
GLM Coding Plan
Hermes Agent
Hugging Face
OpenClaw
OpenCode Go
OpenCode Zen
OpenRouter
Pi Agent
Together AI
Z.ai
omp

Integrations

Cheaper Inference
Claude Code
DeepSeek Harness
GLM Coding Plan
Hermes Agent
Hugging Face
OpenClaw
OpenCode Go
OpenCode Zen
OpenRouter
Pi Agent
Together AI
Z.ai
omp
Claim DeepCoder and update features and information
Claim DeepCoder and update features and information
Claim GLM-5.3-Flash and update features and information
Claim GLM-5.3-Flash and update features and information