Model ID
Qwen/Qwen3-235B-A22B-Thinking-2507
Capabilities
Qwen3 235B A22B Thinking 2507
The Qwen3 235B A22B Thinking 2507 is the premier flagship, reasoning-optimized Mixture-of-Experts (MoE) Causal Language Model in the Qwen3 family, built with 235B total parameters and 22B activated per forward pass, designed for advanced analytical and research-grade workloads. This checkpoint operates exclusively in thinking mode and is trained to generate explicit reasoning traces during inference, enabling deeper multi-step problem solving across mathematics, science, coding, and academic benchmarks. It supports a native 262,144-token context window, allowing sustained reasoning over long documents, complex datasets, and extended multi-source inputs without context degradation.
About this model
The Qwen3 235B A22B Thinking 2507 is the premier flagship, reasoning-optimized Mixture-of-Experts (MoE) Causal Language Model in the Qwen3 family, built with 235B total parameters and 22B activated per forward pass, designed for advanced analytical and research-grade workloads. This checkpoint operates exclusively in thinking mode and is trained to generate explicit reasoning traces during inference, enabling deeper multi-step problem solving across mathematics, science, coding, and academic benchmarks. It supports a native 262,144-token context window, allowing sustained reasoning over long documents, complex datasets, and extended multi-source inputs without context degradation.
Model specifications and capabilities are published by the model author and reproduced here from HF Model Card (Qwen/Qwen3-235B-A22B-Thinking-2507). Released under Apache 2.0. Further reading: Paper · Blog
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Hardware
B200
1,440 GB
Engine
vLLM
SGLang
Deployment code
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Performance under load
Tokens/s (total)
Benchmarks measured by Vultr on B200 · vLLM. Throughput and latency vary with concurrency, input length and engine configuration, so treat these as a comparison baseline, not a service guarantee.
NVIDIA HGX B200
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