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Daily blended price ($/1M) — recorded each day, builds into a trend over time.
Typical 3:1 output-to-input mix, per 1M tokens
Price as of 2026-04-28 · Source: legacy_model_catalog
Complex reasoning, analysis, planning and multi-step problem solving where answer quality matters more than raw cost.
Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks. It activates 22B of its 235B parameters per forward pass and natively sup...
qwen3-235b-a22b-thinking-2507 is a Reasoning model from Alibaba Cloud · Qwen (CN). HotON.ai tracks it at $0.15 per 1M input tokens and $1.50 per 1M output tokens, with a 131K-token context window. Its composite efficiency score is 89/100 at an estimated $0.001 per successful task.
qwen3-235b-a22b-thinking-2507 is tracked at $0.15 per 1M input tokens and $1.50 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $1.16 per 1M tokens. Figures are illustrative demo data.
Complex reasoning, analysis, planning and multi-step problem solving where answer quality matters more than raw cost.
qwen3-235b-a22b-thinking-2507 supports up to a 131K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, qwen3-235b-a22b-thinking-2507 is cheaper than 70% of models on input price and ranks #283 of 537 by overall efficiency.
Yes — grok-4-fast-reasoning is a lower-cost option at $0.50 per 1M output tokens, while still covering similar Reasoning use cases. Compare them side by side on HotON.ai.
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HotON.ai — qwen3-235b-a22b-thinking-2507 (Alibaba Cloud · Qwen): $0.15/1M input, $1.50/1M output, as of 2026-04-28. https://hoton.ai/en/models/qwen-qwen3-235b-a22b-thinking-2507Pricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Efficiency is a modeled composite of real price and context.