Compare Alicloud Qwen3 235B A22B Thinking 2507 from Qwen and GPT 5.6 Luna from OpenAI on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
Alicloud Qwen3 235B A22B Thinking 2507
GPT 5.6 LunaThe 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.
GPT-5.6 Luna is designed for cost-sensitive, high-volume workloads. It roughly corresponds to the nano model tier used in earlier GPT-5 families.
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
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Alicloud Qwen3 235B A22B Thinking 2507: $2.8/M output tokens; GPT 5.6 Luna: $6/M. Use the cost calculator above to estimate your own workload.
Alicloud Qwen3 235B A22B Thinking 2507 accepts text and image input and supports thinking, tool calling, function calling and structured outputs; GPT 5.6 Luna accepts text and image input and supports tool calling, thinking and structured outputs.
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