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 deepseek-v4-flash
Output tokens cost $10.00 per million on claude-sonnet-5 and $0.31 per million on deepseek-v4-flash. Input tokens cost $2.00 per million on claude-sonnet-5 and $0.15 per million on deepseek-v4-flash. Cached input tokens are billed at $2.00 per million on claude-sonnet-5 and $0.00 per million on deepseek-v4-flash. Context windows are 1,000,000 tokens on claude-sonnet-5 and 1,000,000 tokens on deepseek-v4-flash. First-token latency measured on AIHubMix is 3.3s on claude-sonnet-5 and 1.2s on deepseek-v4-flash. Measured output throughput is 91.0 tokens/s on claude-sonnet-5 and 101.3 tokens/s on deepseek-v4-flash.
DeepSeek-V4 features an ultra-long context of one million characters and achieves leading performance domestically and in the open-source domain in agent capabilities, world knowledge, and reasoning.
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 (%)
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, deepseek-v4-flash?
deepseek-v4-flash: $0.31/M output tokens; claude-sonnet-5: $10.00/M. Use the cost calculator above to estimate your own workload.
Which responds faster?
deepseek-v4-flash: 1.2s 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 deepseek-v4-flash accepts 1,000,000 input tokens. Maximum output per request is 128,000 tokens on claude-sonnet-5 and 384,000 tokens on deepseek-v4-flash.
Which one generates tokens faster?
deepseek-v4-flash at 101.3 tokens/s and claude-sonnet-5 at 91.0 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; deepseek-v4-flash accepts text input and supports tool calling, function calling, structured outputs and thinking.
Can I call claude-sonnet-5 and deepseek-v4-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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