Qwen3 235B A22B Thinking 2507 FP8
235B-parameter MoE thinking model, 256K context, 22B activated experts, state-of-the-art reasoning performance among open-source models.
About model
Qwen3 235B A22B Thinking 2507 is a causal language model that excels in complex reasoning tasks, including logical reasoning, mathematics, and science, achieving state-of-the-art results. It features enhanced 256K long-context understanding and improved performance on academic benchmarks. Suitable for users requiring advanced thinking capabilities.
Model | AIME 2025 | GPQA Diamond | HLE | LiveCodeBench | MATH500 | SWE-bench verified |
|---|---|---|---|---|---|---|
Qwen3 235B A22B Thinking 2507 FP8 | 80.1% | Related open-source models | Competitor closed-source models | |||
 Claude Opus 4.6 | 90.5% | 34.2% | 78.7% | |||
 OpenAI o3 | 83.3% | 24.9% | 99.2% | 62.3% | ||
OpenAI o1 | 76.8% | 96.4% | 48.9% | |||
GPT-4o | 49.2% | 2.7% | 32.3% | 89.3% | 31.0% |
Model card
Architecture Overview:
• Mixture-of-Experts transformer with 235B total parameters and 22B activated
• 94 layers with grouped query attention (64 for Q and 4 for KV)
• 128 experts with 8 activated experts per token for efficient inference
• Native 262,144 token context window for extensive document processing
Training Methodology:
• Advanced pretraining & post-training pipeline with thinking capability enhancement
• Specialized training for logical reasoning, mathematics, science, and coding tasks
• Constitutional AI training for alignment with human preferences
• Optimized for complex multi-step reasoning with increased thinking length
Performance Characteristics:
• State-of-the-art results among open-source thinking models on academic benchmarks
• Exceptional performance on AIME25, HMMT25, and LiveCodeBench evaluations
• Enhanced 256K long-context understanding capabilities
• Optimized inference with MoE architecture for computational efficiency
Applications & use cases
Advanced Reasoning Applications:
• Complex mathematical problem solving & academic research
• Scientific analysis requiring multi-step logical reasoning
• Advanced coding challenges & algorithm development
• Academic benchmarking & competitive programming
Enterprise & Professional Use:
• High-complexity business analysis & strategic planning
• Technical documentation with detailed reasoning chains
• Expert-level consultation systems requiring deep thinking
• Research & development applications in specialized domains
Educational & Research:
• Graduate-level tutoring in STEM subjects
• Research paper analysis & academic writing assistance
• Complex problem decomposition for educational purposes
• Multilingual academic support across 119+ languages
Developer Integration:
• Tool calling capabilities with Qwen-Agent framework
• OpenAI-compatible API endpoints via SGLang or vLLM
• Integration with local deployment tools (Ollama, LMStudio, llama.cpp)
• Custom reasoning workflows for specialized applications
- TypeChatReasoning
- Main use casesChatReasoningFunction Calling
- FeaturesFunction CallingJSON Mode
- DeploymentOn-Demand DedicatedMonthly Reserved
- Parameters235B
- Activated parameters22B
- Context length256K
- Input price
$0.65 / 1M tokens
- Output price
$3.00 / 1M tokens
- Input modalitiesText
- Output modalitiesText
- ReleasedJuly 24, 2025
- Quantization levelFP8
- External link
- CategoryChat