Compare Claude Sonnet 5 from Anthropic and Qwen3.7 Flash from Qwen on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
Claude Sonnet 5
Qwen3.7 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
The Qwen 3.7 series' mid-to-high cost-performance "Plus" model builds on strong text capabilities with a comprehensive upgrade to vision-language abilities, while retaining full agent capabilities in coding, tool use, and productivity workflows. Its core features are multimodal interactive hybrid agent capabilities, able to perceive real-world scenes, read screens and operate GUIs, generate code based on visual references, and provide end-to-end navigation of mobile applications.
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
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Qwen3.7 Flash: $0.1128/M output tokens; Claude Sonnet 5: $10/M. Use the cost calculator above to estimate your own workload.
Claude Sonnet 5: 1.0s time to first token 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 Qwen3.7 Flash accepts 1,000,000 input tokens. Maximum output per request is 128,000 tokens on Claude Sonnet 5 and 131,072 tokens on Qwen3.7 Flash.
Claude Sonnet 5 at 7839.1 tok/s and Qwen3.7 Flash at 57.9 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
Claude Sonnet 5 accepts text, image and PDF input and supports thinking, tool calling, function calling and structured outputs; Qwen3.7 Flash accepts text, image and video input and supports tool calling, function calling, structured outputs, web search, long context and thinking.
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