Claude 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
claude-sonnet-5 vs gemini-3.7-flash
Output tokens cost $10.00 per million on claude-sonnet-5 and $3.75 per million on gemini-3.7-flash. Input tokens cost $2.00 per million on claude-sonnet-5 and $0.75 per million on gemini-3.7-flash. Cached input tokens are billed at $2.00 per million on claude-sonnet-5 and $0.08 per million on gemini-3.7-flash. Context lengths are 1,000,000 tokens on claude-sonnet-5 and 1,048,576 tokens on gemini-3.7-flash. Time to first token (TTFT) measured on AIHubMix is 1.5s on claude-sonnet-5 and 2.8s on gemini-3.7-flash. Measured output throughput is 91.0 tok/s on claude-sonnet-5 and 81.0 tok/s on gemini-3.7-flash. On the LMArena coding leaderboard claude-sonnet-5 scores 1523 and gemini-3.7-flash scores 1522.
Gemini 3.7 Flash is Google’s natively multimodal reasoning model for coding, agents, web development, and knowledge work. It supports a 1M-token context window and adjustable thinking levels. Compared with Gemini 3.6 Flash, it improves coding, tool use, multi-step planning, and instruction following.
Pricing & Specifications
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
Promotional prices show the discounted rate; see each model page for promotion windows.
Activity Past 30 Days
Daily traffic served through AIHubMix — how demand for each model is trending.
Tokens / day
Requests / day
Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Throughput (tok/s)
TTFT (s)
Uptime (%)
LMArena Benchmarks
LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.
Source: LMArena (arena.ai) leaderboard, imported by AIHubMix. Models without published ratings are omitted per chart.
Cost calculator
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: claude-sonnet-5, gemini-3.7-flash?
gemini-3.7-flash: $3.75/M output tokens; claude-sonnet-5: $10.00/M. Use the cost calculator above to estimate your own workload.
How do their coding arena scores compare?
claude-sonnet-5: 1523; gemini-3.7-flash: 1522 (LMArena coding leaderboard).
Which responds faster?
claude-sonnet-5: 1.5s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
How large is each context window?
claude-sonnet-5 accepts 1,000,000 and gemini-3.7-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-3.7-flash.
Which one generates tokens faster?
claude-sonnet-5 at 91.0 tok/s and gemini-3.7-flash at 81.0 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
What inputs and capabilities does each model support?
claude-sonnet-5 accepts text and image input and supports thinking, tool calling, function calling and structured outputs; gemini-3.7-flash accepts text, image, audio and video input and supports thinking, tool calling, function calling, structured outputs, web search and long context.
Can I call claude-sonnet-5 and gemini-3.7-flash with the same API key?
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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