Best LLM for GitHub Copilot
Find the best AI model for GitHub Copilot based on coding performance, agent mode capability, and integration quality.
Prices on this page last verified against each provider’s own pricing page
GitHub Copilot has evolved from a GPT-only autocomplete tool into a multi-model platform with a model picker, agent mode, and workspace-aware features. Copilot offers frontier models from OpenAI (the GPT-5.5 generation and the code-focused GPT-5.3 Codex), Anthropic (Claude Sonnet 5 and the Claude Opus line), and Google (Gemini 3.1 Pro and Gemini 3 Flash) directly through its interface. OpenAI's GPT-5.6 family is now generally available on the OpenAI API, but Copilot exposes models on its own schedule and had not surfaced the 5.6 tiers in its picker when this page was last reviewed.
The recent story has been Anthropic's momentum. Claude Sonnet 5, launched June 30 with a 1M-token context window at $2/$10 per 1M tokens, has quickly become the community favorite for agent mode and multi-file refactors, scoring 85.2 on SWE-bench Verified. GPT models still enjoy a home-field advantage with tighter native integration, and GPT-5.5 remains the default flagship for many Copilot workflows. Our rankings reflect performance specifically within Copilot's ecosystem, including how well each model handles Copilot's prompt optimization, context management, and caching behind the scenes.
We ranked models based on GitHub documentation, community feedback, code completion quality, agent mode effectiveness, and how well each model handles Copilot's workspace-aware features. Pricing reflects the underlying API costs that inform Copilot's model allocation and usage limits.
Top Models for GitHub Copilot — September 2026
Anthropic's flagship and the top scorer on SWE-bench Verified (96.0) among generally available models in this lineup. Opus 5 is the model to reach for when agent mode tackles the hardest debugging and architecture work, at $5/$25 with a full 1M context window — the same rate Opus 4.8 charges for an 88.6.
The strongest all-around pick in Copilot. Sonnet 5 pairs a 1M context window with an 85.2 SWE-bench Verified score at a standard $2/$10, which makes it even harder to beat for agent mode and multi-file refactors.
OpenAI's flagship in general availability and the model with the deepest native integration in the Copilot ecosystem. GPT-5.5 topped the Artificial Analysis Intelligence Index at its April launch and handles workspace-aware features with a 1M+ context window, though at $5/$30 it is the priciest mainstream option here.
The most cost-effective model in this lineup with fast response times and a 1M context window at just $0.50/1M input. An excellent choice for developers who want to maximize their Copilot usage within subscription token limits on routine completions and quick edits.
Google's mainline option in Copilot with a 1M context window at $2/$12, undercutting both flagship tiers above it. Gemini 3.1 Pro is a sensible middle ground for developers who want strong general-purpose quality on large repositories without flagship pricing.
Purpose-built for code generation with a 400K context window. GPT-5.3 Codex is tuned specifically for the kinds of completions and edits that Copilot handles, making it a strong pick for developers who want a code-specialized model at moderate pricing.
How We Ranked These Models
Order is computed, not hand-picked. Each model is scored on the published pass-rate suites it has (SWE-bench Verified 0.65, Terminal-Bench 2.1 0.35), renormalised over the suites present, then charged 1 quality point for every doubling of its blended price (3:1 input-to-output tokens). Models with no published score are never given one: they are listed after every scored model, ordered by context window, and labelled as unscored. Copilot's picker only offers OpenAI, Anthropic and Google models, so the field is restricted to those three. Completion and chat quality lead the weighting; API price presses only lightly — 1 point of pass rate per doubling — because a Copilot subscription, not the reader, pays the per-token bill. See the full ranking method.
Frequently Asked Questions
The same models, weighted for another tool
Each page states its own weighting, so the order changes with the workload.