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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
Source: litellm
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
Qwen 3 235B A22B Instruct 2507 is a Cerebras preview model for high-speed multilingual reasoning and coding evaluation.
qwen-3-235b-a22b-instruct-2507 is a Text model from Cerebras (US). HotON.ai tracks it at $0.09 per 1M input tokens and $0.60 per 1M output tokens, with a 131K-token context window. Its composite efficiency score is 89/100 at an estimated $0.000 per successful task.
qwen-3-235b-a22b-instruct-2507 is tracked at $0.09 per 1M input tokens and $0.60 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.47 per 1M tokens. Figures are illustrative demo data.
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
qwen-3-235b-a22b-instruct-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, qwen-3-235b-a22b-instruct-2507 is cheaper than 84% of models on input price and ranks #260 of 535 by overall efficiency.
Yes — deepseek-v4-flash is a lower-cost option at $0.28 per 1M output tokens, while still covering similar Text use cases. Compare them side by side on HotON.ai.
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HotON.ai — qwen-3-235b-a22b-instruct-2507 (Cerebras): $0.09/1M input, $0.60/1M output. https://hoton.ai/en/models/cerebras-qwen-3-235b-a22b-instruct-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.