# Qwen3 235B A22B Instruct 2507 Qwen3-235B-A22B-Instruct-2507 is a multilingual, instruction-tuned mixture-of-experts language model based on the Qwen3-235B architecture, with 22B active parameters per forward pass. It is optimized for general-purpose text generation, including instruction following, logical reasoning, math, code, and tool usage. The model supports a native 262K context length and does not implement "thinking mode" ( blocks). Compared to its base variant, this version delivers significant gains in knowledge coverage, long-context reasoning, coding benchmarks, and alignment with open-ended tasks. It is particularly strong on multilingual understanding, math reasoning (e.g., AIME, HMMT), and alignment evaluations like Arena-Hard and WritingBench. ## Model Information - **Organization**: [qwen](/llm.txt) - **Slug**: qwen3-235b-a22b-2507 - **Available at Providers**: 9 - **Release Date**: July 21, 2025 ## Providers | Provider | Name | $ Input (per 1M) | $ Output (per 1M) | Free | Link | |----------|------|-----------------|------------------|------|------| | [OpenRouter](/llm/openrouter.txt) | Qwen3 235B A22B Instruct 2507 | 0.07 | 0.10 | | [View](https://openrouter.ai/qwen/qwen3-235b-a22b-07-25) | | [ValorGPT](/llm/valorgpt.txt) | Qwen3 235B A22B Instruct 2507 | | | | [View](https://www.valorgpt.com/models/qwen-qwen3-235b-a22b-2507) | | [Yupp](/llm/yupp.txt) | Qwen3 235B A22B Instruct 2507 (OpenRouter) | | | | | | [ZenMUX](/llm/zenmux.txt) | Qwen: Qwen3 235B A22B Instruct 2507 | 0.28 | 1.11 | | | | [Routeway](/llm/routeway.txt) | Alibaba: Qwen3 235B A22B Instruct 2507 | 0.18 | 0.70 | | [View](https://routeway.ai/models) | | [LangDB](/llm/langdb.txt) | qwen3-235b-a22b-2507 | | | | [View](https://langdb.ai/app/models) | | [Kilo Code](/llm/kilocode.txt) | Qwen: Qwen3 235B A22B Instruct 2507 | 0.07 | 0.10 | | | | [Blackbox AI](/llm/blackboxai.txt) | blackboxai/qwen/qwen3-235b-a22b-2507 | | | | | | [WaveSpeed AI](/llm/wavespeed.txt) | qwen3-235b-a22b-2507 | 0.08 | 0.11 | | | --- [← Back to all providers](/llm.txt)