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Qwen3-235B-A22B-Thinking-2507 vs Qwen3 VL 235B A22B Thinking

Qwen3-235B-A22B-Thinking-2507 and Qwen3 VL 235B A22B Thinking are closely matched at 28.0 and 26.6 on the LLM Stats Score. Qwen3-235B-A22B-Thinking-2507 is 1.2x cheaper per token.

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

Which is better?

Qwen3-235B-A22B-Thinking-2507 and Qwen3 VL 235B A22B Thinking are closely matched on the overall LLM Stats Score at 28.0 and 26.6.

In the 15 individual benchmarks reported for both models, Qwen3-235B-A22B-Thinking-2507 wins 12; this is a narrower head-to-head signal than the composite indexes.

On price, Qwen3-235B-A22B-Thinking-2507 is roughly 1.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

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

Choose Qwen3-235B-A22B-Thinking-2507

  • you value its reported benchmark strengths — it wins 12 of 15 exact shared results
  • cost matters — it's about 1.2x cheaper per token

Choose Qwen3 VL 235B A22B Thinking

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

At a glance

The differences that matter most.

Core performance indexes
28.0
#152
26.6
#164
28.3
#144
26.9
#158
11.3
#122
12.9
#108
Cost, coverage & limits
Benchmark wins
12 of 15
3 of 15
Input price
$0.30 / M
$0.45 / M
Output price
$3.00 / M
$3.49 / M
Context window
262,144
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

5 shared
Index
Qwen3-235B-A22B-Thinking-2507
Qwen3 VL 235B A22B Thinking
31.3#73
29.6#86
12.1#115
17.9#90
16.3#40
18.4#28
33.1#11
31.9#16
33.2#11
31.7#17
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

25 reported for Qwen3-235B-A22B-Thinking-2507 · 67 for Qwen3 VL 235B A22B Thinking

15 shared

Qwen3-235B-A22B-Thinking-2507 outperforms in 12 benchmarks (AIME 2025, Creative Writing v3, HMMT25, Humanity's Last Exam, Include, LiveCodeBench v6, MMLU-Pro, MMLU-ProX, MMLU-Redux, Multi-IF, SuperGPQA, WritingBench), while Qwen3 VL 235B A22B Thinking is better at 2 benchmarks (IFEval, LiveBench 20241125).

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

Thu Oct 08 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Qwen3-235B-A22B-Thinking-2507 costs less

For input processing, Qwen3-235B-A22B-Thinking-2507 ($0.30/1M tokens) is 1.5x cheaper than Qwen3 VL 235B A22B Thinking ($0.45/1M tokens).

For output processing, Qwen3-235B-A22B-Thinking-2507 ($3.00/1M tokens) is 1.2x cheaper than Qwen3 VL 235B A22B Thinking ($3.49/1M tokens).

In conclusion, Qwen3 VL 235B A22B Thinking is more expensive than Qwen3-235B-A22B-Thinking-2507.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Thu Oct 08 2026 • llm-stats.com
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507
Input tokens$0.30
Output tokens$3.00
Best providerFireworks
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Thinking
Input tokens$0.45
Output tokens$3.49
Best providerDeepinfra
Notice missing or incorrect data?

Model Size

Parameter count comparison

1.0B diff

Qwen3 VL 235B A22B Thinking has 1.0B more parameters than Qwen3-235B-A22B-Thinking-2507, making it 0.4% larger.

Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507
235.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Thinking
236.0Bparameters
235.0B
Qwen3-235B-A22B-Thinking-2507
236.0B
Qwen3 VL 235B A22B Thinking

Context Window

Maximum input and output token capacity

Both models have the same input context window of 262,144 tokens. Qwen3 VL 235B A22B Thinking can generate longer responses up to 262,144 tokens, while Qwen3-235B-A22B-Thinking-2507 is limited to 131,072 tokens.

Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507
Input262,144 tokens
Output131,072 tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Thinking
Input262,144 tokens
Output262,144 tokens
Thu Oct 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

Qwen3 VL 235B A22B Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.

Qwen3-235B-A22B-Thinking-2507

Text
Images
Audio
Video

Qwen3 VL 235B A22B Thinking

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-Thinking-2507

Apache 2.0

Open weights

Qwen3 VL 235B A22B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Qwen3-235B-A22B-Thinking-2507 was released on 2025-07-25, while Qwen3 VL 235B A22B Thinking was released on 2025-09-22.

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

Qwen3-235B-A22B-Thinking-2507

Jul 25, 2025

1.2 years ago

Qwen3 VL 235B A22B Thinking

Sep 22, 2025

1.0 years ago

1mo 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

Provider Availability

Qwen3-235B-A22B-Thinking-2507 is available from Fireworks, Novita. Qwen3 VL 235B A22B Thinking is available from DeepInfra, Novita.

Qwen3-235B-A22B-Thinking-2507

fireworks logo
Fireworks
Input Price:Input: $0.30/1MOutput Price:Output: $3.00/1M
novita logo
Novita
Input Price:Input: $0.30/1MOutput Price:Output: $3.00/1M

Qwen3 VL 235B A22B Thinking

deepinfra logo
Deepinfra
Input Price:Input: $0.45/1MOutput Price:Output: $3.49/1M
novita logo
Novita
Input Price:Input: $0.98/1MOutput Price:Output: $3.95/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

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

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

FAQ

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

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

Qwen3-235B-A22B-Thinking-2507 and Qwen3 VL 235B A22B Thinking are closely matched on the LLM Stats Score at 28.0 and 26.6. Qwen3-235B-A22B-Thinking-2507 is made by Alibaba Cloud / Qwen Team and Qwen3 VL 235B A22B Thinking 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-Thinking-2507 compare to Qwen3 VL 235B A22B Thinking in benchmarks?

Qwen3-235B-A22B-Thinking-2507 scores MMLU-Redux: 93.8%, AIME 2025: 92.3%, WritingBench: 88.3%, IFEval: 87.8%, Creative Writing v3: 86.1%. Qwen3 VL 235B A22B Thinking scores ZebraLogic: 97.3%, DocVQAtest: 96.5%, ScreenSpot: 95.4%, CountBench: 93.7%, MMLU-Redux: 93.7%.

Is Qwen3-235B-A22B-Thinking-2507 cheaper than Qwen3 VL 235B A22B Thinking?

Qwen3-235B-A22B-Thinking-2507 is 1.5x cheaper for input tokens. Qwen3-235B-A22B-Thinking-2507 costs $0.30/M input and $3.00/M output via fireworks. Qwen3 VL 235B A22B Thinking costs $0.45/M input and $3.49/M output via deepinfra.

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

Qwen3-235B-A22B-Thinking-2507 supports 262K tokens and Qwen3 VL 235B A22B Thinking supports 262K 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-Thinking-2507 and Qwen3 VL 235B A22B Thinking?

Key differences include LLM Stats Score (28.0 vs 26.6), input pricing ($0.30 vs $0.45/M), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.