Compare DeepSeek V4 Flash from DeepSeek and Qwen3 235B A22B Thinking 2507 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.
DeepSeek V4 Flash
Qwen3 235B A22B Thinking 2507(This model currently points to the older 0423 version; if you need to request the latest version, you can choose the model deepseek-v4-flash-0731)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.
The open-source thinking model based on Qwen3 has significantly improved in logical ability, general capability, knowledge enhancement, and creative ability compared to the previous version (Tongyi Qianwen 3-235B-A22B). It is suitable for high-difficulty and strong reasoning scenarios.
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.
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.
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.
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
DeepSeek V4 Flash: $0.284/M output tokens; Qwen3 235B A22B Thinking 2507: $2.8/M. Use the cost calculator above to estimate your own workload.
DeepSeek V4 Flash: 1483; Qwen3 235B A22B Thinking 2507: 1442 (LMArena coding leaderboard).
Qwen3 235B A22B Thinking 2507: 0.3s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
DeepSeek V4 Flash accepts 1,000,000 and Qwen3 235B A22B Thinking 2507 accepts 262,144 input tokens. Maximum output per request is 384,000 tokens on DeepSeek V4 Flash and 131,072 tokens on Qwen3 235B A22B Thinking 2507.
Qwen3 235B A22B Thinking 2507 at 87.4 tok/s and DeepSeek V4 Flash at 66.4 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
DeepSeek V4 Flash accepts text input and supports tool calling, function calling, structured outputs and thinking; Qwen3 235B A22B Thinking 2507 accepts text and image input and supports thinking, tool calling, function calling and structured outputs.
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