Qwen3-235B-A22B-Instruct-2507

Highlights

We introduce the updated version of the Qwen3-235B-A22B non-thinking mode, named Qwen3-235B-A22B-Instruct-2507, featuring the following key enhancements:

• Significant improvements in general capabilities, including instruction following, logical reasoning, text comprehension, mathematics, science, coding and tool usage.
• Substantial gains in long-tail knowledge coverage across multiple languages.
• Markedly better alignment with user preferences in subjective and open-ended tasks, enabling more helpful responses and higher-quality text generation.
• Enhanced capabilities in 256K long-context understanding.

Model Overview

Qwen3-235B-A22B-Instruct-2507 has the following features:

• Type: Causal Language Models
• Training Stage: Pretraining & Post-training
• Number of Parameters: 235B in total and 22B activated
• Number of Paramaters (Non-Embedding): 234B
• Number of Layers: 94
• Number of Attention Heads (GQA): 64 for Q and 4 for KV
• Number of Experts: 128
• Number of Activated Experts: 8
• Context Length: 262,144 natively.

NOTE: This model supports only non-thinking mode and does not generate **\<think>****\</think>** blocks in its output. Meanwhile, specifying enable_thinking=False is no longer required.

For more details, including benchmark evaluation, hardware requirements, and inference performance, please refer to our blog, GitHub, and Documentation.

Performance

	Deepseek-V3-0324	GPT-4o-0327	Claude Opus 4 Non-thinking	Kimi K2	Qwen3-235B-A22B Non-thinking	Qwen3-235B-A22B-Instruct-2507
Knowledge
MMLU-Pro	81.2	79.8	86.6	81.1	75.2	83.0
MMLU-Redux	90.4	91.3	94.2	92.7	89.2	93.1
GPQA	68.4	66.9	74.9	75.1	62.9	77.5
SuperGPQA	57.3	51.0	56.5	57.2	48.2	62.6
SimpleQA	27.2	40.3	22.8	31.0	12.2	54.3
CSimpleQA	71.1	60.2	68.0	74.5	60.8	84.3
Reasoning
AIME25	46.6	26.7	33.9	49.5	24.7	70.3
HMMT25	27.5	7.9	15.9	38.8	10.0	55.4
ARC-AGI	9.0	8.8	30.3	13.3	4.3	41.8
ZebraLogic	83.4	52.6	-	89.0	37.7	95.0
LiveBench 20241125	66.9	63.7	74.6	76.4	62.5	75.4
Coding
LiveCodeBench v6 (25.02-25.05)	45.2	35.8	44.6	48.9	32.9	51.8
MultiPL-E	82.2	82.7	88.5	85.7	79.3	87.9
Aider-Polyglot	55.1	45.3	70.7	59.0	59.6	57.3
Alignment
IFEval	82.3	83.9	87.4	89.8	83.2	88.7
Arena-Hard v2*	45.6	61.9	51.5	66.1	52.0	79.2
Creative Writing v3	81.6	84.9	83.8	88.1	80.4	87.5
WritingBench	74.5	75.5	79.2	86.2	77.0	85.2
Agent
BFCL-v3	64.7	66.5	60.1	65.2	68.0	70.9
TAU-Retail	49.6	60.3#	81.4	70.7	65.2	71.3
TAU-Airline	32.0	42.8#	59.6	53.5	32.0	44.0
Multilingualism
MultiIF	66.5	70.4	-	76.2	70.2	77.5
MMLU-ProX	75.8	76.2	-	74.5	73.2	79.4
INCLUDE	80.1	82.1	-	76.9	75.6	79.5
PolyMATH	32.2	25.5	30.0	44.8	27.0	50.2

*: For reproducibility, we report the win rates evaluated by GPT-4.1.

#: Results were generated using GPT-4o-20241120, as access to the native function calling API of GPT-4o-0327 was unavailable.