Artificial Analysis 实测 GitHub Copilot Fusion:每任务成本 5.59 美元…
GitHub has released Copilot Fusion in GitHub Copilot, which orchestrates between Anthropic and OpenAI models. It scores 2 points below Opus 5.5 in Claude Code a
Artificial Analysis 在 Coding Agent Index v2.0 中实测 GitHub Copilot 的 Copilot Fusion,其每任务成本为 5.59 美元,而 Claude Code 搭配 Opus 5.5(max)为 11.42 美元,性能仅低 2 分。Copilot Fusion 是运行时编排系统,在 Claude Opus 5.5、Claude Sonnet 5.5、GPT-6 Astra 和 GPT-6 Sol 等 Anthropic 与 OpenAI 模型间选择协调。它在 Terminal-Bench 4.0 上以 71 分领先,FrontierCode 得 51 分排第三,每任务使用 7.2M tokens,约为 Claude Code 中 Opus 5.5 的一半。
推荐理由
精选AI 评分 71
Artificial Analysis 在 Coding Agent Index 中实测 Copilot Fusion,给出成本、token 用量与三项基准分数,可与 Claude Code、Devin Fusion 直接对照。
主题
正文
GitHub has released Copilot Fusion in GitHub Copilot, which orchestrates between Anthropic and OpenAI models. It scores 2 points below Opus 5.5 in Claude Code at half the Cost per Task in the Coding Agent Index
GitHub describes Copilot Fusion as a runtime orchestration system, which selects and coordinates models to optimize performance, cost, and latency for each task. Copilot Fusion chooses between a number of models from Anthropic and OpenAI, including Claude Opus 5.5, Claude Sonnet 5.5, GPT-6 Astra, and GPT-6 Sol. We benchmarked its max setting in GitHub Copilot CLI in the Artificial Analysis Coding Agent Index v2.0.
Token costs are charged based on the underlying models used to complete a request.
Key takeaways:
➤ Cost-efficient for near-frontier performance: Copilot Fusion in GitHub Copilot costs $5.59 per task, versus $11.42 for Claude Code with Opus 5.5 (max). Devin Fusion with Opus 5.5 (max) + GPT-6 Luna (high) scores 62 at $8.00 per task.
➤ Slight lead in Terminal-Bench 4.0: The Coding Agent Index v2.0 weights its three constituent benchmarks equally. Copilot Fusion in GitHub Copilot leads Terminal-Bench 4.0 with a score of 71. It ranks third on FrontierCode in the chart at 51, behind Claude Code with Opus 5.5 (max) at 56 and Devin Fusion with Opus 5.5 (max) + GPT-6 Luna (high) at 54. Its SWE-Atlas-QnA-AA score lags at 57, between GPT-6 Astra in Codex and Gemini 4 Argon in Antigravity CLI.
➤ Half the token use of Opus 5.5 in Claude Code: GitHub Copilot Fusion used 7.2M tokens per task in the Coding Agent Index, approximately half of the tokens used by Claude Opus 5.5 in Claude Code, and 30% less than Devin Fusion with Opus 5.5 (max) + GPT-6 Luna (high).