Output tokens cost $10.00 per million on claude-sonnet-5 and $7.50 per million on gemini-3.6-flash. Input tokens cost $2.00 per million on claude-sonnet-5 and $1.50 per million on gemini-3.6-flash. Cached input tokens are billed at $2.00 per million on claude-sonnet-5 and $0.15 per million on gemini-3.6-flash. Context windows are 1,000,000 tokens on claude-sonnet-5 and 1,048,576 tokens on gemini-3.6-flash. First-token latency measured on AIHubMix is 3.3s on claude-sonnet-5 and 3.1s on gemini-3.6-flash. Measured output throughput is 91.0 tokens/s on claude-sonnet-5 and 123.8 tokens/s on gemini-3.6-flash.
claude-sonnet-5
gemini-3.6-flashClaude Sonnet 5 is the next generation of Anthropic's Sonnet model family. It is a drop-in upgrade for Claude Sonnet 4.6 with three behavior changes: adaptive thinking is on by default, manual extended thinking now returns a 400 error (it was deprecated on Claude Sonnet 4.6), and setting sampling parameters (temperature, top_p, top_k) to non-default values returns a 400 error
Gemini 3.6 Flash provides sustained frontier-level intelligence optimized for real-world tasks at a higher speed and lower cost. Designed for the agentic era, it excels at code generation, agentic execution, and spatial reasoning. This model is particularly effective for rapid agentic loops involving complex coding cycles and iterations.
Prices are per million tokens. Latency and throughput are rolling averages measured on AIHubMix.
Promotional prices show the discounted rate; see each model page for promotion windows.
Daily traffic served through AIHubMix — how demand for each model is trending.
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
gemini-3.6-flash: $7.50/M output tokens; claude-sonnet-5: $10.00/M. Use the cost calculator above to estimate your own workload.
gemini-3.6-flash: 3.1s first-token latency measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
claude-sonnet-5 accepts 1,000,000 and gemini-3.6-flash accepts 1,048,576 input tokens. Maximum output per request is 128,000 tokens on claude-sonnet-5 and 65,536 tokens on gemini-3.6-flash.
gemini-3.6-flash at 123.8 tokens/s and claude-sonnet-5 at 91.0 tokens/s, measured as output throughput on AIHubMix — a separate metric from first-token latency.
claude-sonnet-5 accepts text and image input and supports thinking, tool calling, function calling and structured outputs; gemini-3.6-flash accepts text, image, audio and video input and supports thinking, tool calling, function calling, structured outputs, web search and long context.
Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.
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