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Qwen3-235B-A22B-Instruct-2507 vs Qwen3 VL 32B Instruct

Qwen3-235B-A22B-Instruct-2507 leads the LLM Stats Score 24.1 to 20.4.

Alibaba Cloud / Qwen Team · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen3-235B-A22B-Instruct-2507 leads the overall LLM Stats Score 24.1 to 20.4, ranking #160 overall.

In the 16 individual benchmarks reported for both models, Qwen3-235B-A22B-Instruct-2507 wins 16; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Qwen3-235B-A22B-Instruct-2507

  • overall performance matters — it scores 24.1 and ranks #160 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 16 of 16 exact shared results

Choose Qwen3 VL 32B Instruct

  • you want the most recent training data — it shipped Sep 2025

At a glance

The differences that matter most.

Qwen3-235B-A22B-Instruct-2507
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Instruct
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
24.1
#160
20.4
#186
Reasoning
23.7
#155
19.4
#190
Agents
9.7
#115
10.3
#109
Cost, coverage & limits
Benchmark wins
16 of 16
0 of 16
Input price
$0.15 / M
— / M
Output price
$0.80 / M
— / M
Context window
262,144
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

5 shared
Index
Qwen3-235B-A22B-Instruct-2507
Qwen3 VL 32B Instruct
Math
24.1#118
19.7#156
Vision
6.2#145
15.6#86
Writing
10.9#64
10.8#65
Finance
28.4#30
21.9#71
Legal
28.2#23
21.0#62
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

25 reported for Qwen3-235B-A22B-Instruct-2507 · 45 for Qwen3 VL 32B Instruct

16 shared

Qwen3-235B-A22B-Instruct-2507 outperforms in 16 benchmarks (AIME 2025, Arena-Hard v2, BFCL-v3, Creative Writing v3, GPQA, IFEval, Include, LiveBench 20241125, LiveCodeBench v6, MMLU-Pro, MMLU-ProX, MMLU-Redux, Multi-IF, PolyMATH, SuperGPQA, WritingBench), while Qwen3 VL 32B Instruct is better at 0 benchmarks.

Qwen3-235B-A22B-Instruct-2507 significantly outperforms across most benchmarks.

Tue Sep 08 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

202.0B diff

Qwen3-235B-A22B-Instruct-2507 has 202.0B more parameters than Qwen3 VL 32B Instruct, making it 612.1% larger.

Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
235.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Instruct
33.0Bparameters
235.0B
Qwen3-235B-A22B-Instruct-2507
33.0B
Qwen3 VL 32B Instruct

Context Window

Maximum input and output token capacity

Only Qwen3-235B-A22B-Instruct-2507 specifies input context (262,144 tokens). Only Qwen3-235B-A22B-Instruct-2507 specifies output context (131,072 tokens).

Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
Input262,144 tokens
Output131,072 tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Instruct
Input- tokens
Output- tokens
Tue Sep 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Qwen3 VL 32B Instruct supports multimodal inputs, whereas Qwen3-235B-A22B-Instruct-2507 does not.

Qwen3 VL 32B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Qwen3-235B-A22B-Instruct-2507

Text
Images
Audio
Video

Qwen3 VL 32B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

Both models share the same licensing terms, providing consistent usage rights.

Qwen3-235B-A22B-Instruct-2507

Apache 2.0

Open weights

Qwen3 VL 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Qwen3-235B-A22B-Instruct-2507 was released on 2025-07-22, while Qwen3 VL 32B Instruct was released on 2025-09-22.

Qwen3 VL 32B Instruct is 2 months newer than Qwen3-235B-A22B-Instruct-2507.

Qwen3-235B-A22B-Instruct-2507

Jul 22, 2025

1.1 years ago

Qwen3 VL 32B Instruct

Sep 22, 2025

11 months ago

2mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Qwen3-235B-A22B-Instruct-2507 and Qwen3 VL 32B Instruct side-by-side, then vote on the output you prefer.

Qwen3-235B-A22B-Instruct-2507
✓ Preferred
Qwen3 VL 32B Instruct
Open in Playground

FAQ

Common questions about Qwen3-235B-A22B-Instruct-2507 vs Qwen3 VL 32B Instruct.

Which is better, Qwen3-235B-A22B-Instruct-2507 or Qwen3 VL 32B Instruct?

Qwen3-235B-A22B-Instruct-2507 leads the LLM Stats Score 24.1 to 20.4. Qwen3-235B-A22B-Instruct-2507 is made by Alibaba Cloud / Qwen Team and Qwen3 VL 32B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Qwen3-235B-A22B-Instruct-2507 compare to Qwen3 VL 32B Instruct in benchmarks?

Qwen3-235B-A22B-Instruct-2507 scores ZebraLogic: 95.0%, MMLU-Redux: 93.1%, IFEval: 88.7%, MultiPL-E: 87.9%, Creative Writing v3: 87.5%. Qwen3 VL 32B Instruct scores DocVQAtest: 96.9%, ScreenSpot: 95.8%, CharXiv-D: 90.5%, MMLU-Redux: 89.8%, AI2D: 89.5%.

What are the context window sizes for Qwen3-235B-A22B-Instruct-2507 and Qwen3 VL 32B Instruct?

Qwen3-235B-A22B-Instruct-2507 supports 262K tokens and Qwen3 VL 32B Instruct supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Qwen3-235B-A22B-Instruct-2507 and Qwen3 VL 32B Instruct?

Key differences include LLM Stats Score (24.1 vs 20.4), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

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