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-3.1-pro-preview
Output tokens cost $10.00 per million on claude-sonnet-5 and $12.00 per million on gemini-3.1-pro-preview. Input tokens cost $2.00 per million on claude-sonnet-5 and $2.00 per million on gemini-3.1-pro-preview. Cached input tokens are billed at $2.00 per million on claude-sonnet-5 and $0.50 per million on gemini-3.1-pro-preview. Context windows are 1,000,000 tokens on claude-sonnet-5 and 1,000,000 tokens on gemini-3.1-pro-preview. First-token latency measured on AIHubMix is 3.3s on claude-sonnet-5 and 5.9s on gemini-3.1-pro-preview. Measured output throughput is 91.0 tokens/s on claude-sonnet-5 and 79.5 tokens/s on gemini-3.1-pro-preview. On the LMArena coding leaderboard claude-sonnet-5 scores 1526 and gemini-3.1-pro-preview scores 1521.
Gemini 3.1 Pro Preview is designed to further optimize the performance and reliability of the Gemini 3 Pro series, offering improved reasoning capabilities, greater token efficiency, and a more robust, factually consistent user experience. It is optimized for software-engineering behaviors and usability, and is also suitable for agent workflows that require precise tool invocation and reliable multi-step execution, enabling stable operation across a variety of real-world scenarios.
Specs & Pricing
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.
Usage on AIHubMix last 30 days
Daily traffic served through AIHubMix — how demand for each model is trending.
Tokens / day
Requests / day
Live Performance last 3 days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Throughput (TPS)
Latency (s)
Uptime (%)
Arena Scores
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-3.1-pro-preview?
claude-sonnet-5: $10.00/M output tokens; gemini-3.1-pro-preview: $12.00/M. Use the cost calculator above to estimate your own workload.
How do their coding arena scores compare?
claude-sonnet-5: 1526; gemini-3.1-pro-preview: 1521 (LMArena coding leaderboard).
Which responds faster?
claude-sonnet-5: 3.3s first-token latency 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-3.1-pro-preview accepts 1,000,000 input tokens. Maximum output per request is 128,000 tokens on claude-sonnet-5 and 64,000 tokens on gemini-3.1-pro-preview.
Which one generates tokens faster?
claude-sonnet-5 at 91.0 tokens/s and gemini-3.1-pro-preview at 79.5 tokens/s, measured as output throughput on AIHubMix — a separate metric from first-token latency.
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-3.1-pro-preview accepts text, image, audio and video input and supports thinking, tool calling, function calling, structured outputs, web search, deep search and long context.
Can I call claude-sonnet-5 and gemini-3.1-pro-preview 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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