Model
Model explorer

Qwen3-235B-A22B (Non-Thinking)

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Alibaba · Qwen3 family · released Apr 29, 2025

Gen-3 flagship MoE, non-thinking (fast dialogue) mode setting.

ReasoningCodingVisionFunction callingTool useAgentic
1235.2
Elo · rank #176
Parameters
235B
Active params
22B (MoE)
Context
128K tokens
Architecture
MoE Transformer (128 experts, 8 active, hybrid thinking mode)
License
Apache 2.0
Languages
119+
API price (in/out)
No hosted API
Modalities
text
Benchmark results
Bar shows position within the tracked field; marker = field best
AIMEMath40.1%#124
best: GPT-5.2 · 100.0%
Arena-HardHuman preference96.1%#1
best: this model · 96.1%
BFCL v3Agents68.0%#16
best: Hunyuan-A13B · 78.3%
C-EvalKnowledge86.1%#23
best: Qwen3.6-Plus · 93.3%
CodeforcesCoding1387#37
best: DeepSeek-V4-Pro (Think Max) · 3206
GPQA DiamondReasoning62.9%#154
best: GPT-5.6 · 94.6%
IFEvalReasoning83.2%#80
best: Gemma 4 26B A4B · 98.5%
LiveCodeBenchCoding35.3%#139
best: DeepSeek-V4-Pro (Think Max) · 93.5%
MATH-500Math91.2%#42
best: GPT-5 · 99.4%
MMLU-ReduxKnowledge89.2%#25
best: Qwen3.7-Max · 95.0%
MMMLUKnowledge79.8%#26
best: Gemini 3.1 Pro · 92.6%
Run it locally
VRAM @ Q4
132 GB
VRAM @ FP16
470 GB
Fits on (Q4)
M3 Ultra 512GBB200 192GB
Exceeds single RTX 4090 24GB VRAM even at Q4 (~132GB); requires multi-GPU or CPU offload.
Quantizations
GGUF · MLX · FP8 · NVFP4
Qwen3 family
Elo progression across releases
Qwen3-14B (Non-Thinking)Apr 20251094.6Qwen3-14B (Thinking)Apr 20251396.5Qwen3-235B-A22B (Non-Thinking)Apr 20251235.2Qwen3-235B-A22B (Thinking)Apr 20251536.2Qwen3-30B-A3B (Non-Thinking)Apr 20251101.1Qwen3-30B-A3B (Thinking)Apr 20251483.2Qwen3-32B (Non-Thinking)Apr 20251121.8Qwen3-32B (Thinking)Apr 20251509.2Qwen3-8B (Non-Thinking)Apr 2025922.1Qwen3-8B (Thinking)Apr 20251323.0Qwen3-235B-A22B-Instruct-2507Jul 20251591.0Qwen3-235B-A22B-Thinking-2507Jul 20251842.4
Resources
HFQwen/Qwen3-235B-A22BGHQwenLM/Qwen3DOCSqwen.readthedocs.ioAPIAvailable via Alibaba API
API price weights · each benchmark row carries its own source badge (see methodology)