Best LLM Routers for OpenCode
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Compare the Top LLM Routers that integrate with OpenCode as of July 2026
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This a list of LLM Routers that integrate with OpenCode. Use the filters on the left to add additional filters for products that have integrations with OpenCode. View the products that work with OpenCode in the table below.
What are LLM Routers for OpenCode?
LLM routers are systems that intelligently direct queries to the most appropriate Large Language Model (LLM) based on factors like complexity and cost. By analyzing incoming prompts, these routers balance performance with resource expenditure, ensuring efficient and effective responses. They contribute to operational efficiency by optimizing resource allocation, leading to cost savings without compromising quality. Additionally, LLM routers enhance system reliability by managing load distribution and providing fallback options during peak times or outages. Overall, they play a crucial role in maximizing the utility of LLMs across various applications. Compare and read user reviews of the best LLM Routers for OpenCode currently available using the table below. This list is updated regularly.
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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.
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