Model Comparison

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

Qwen3-235B-A22B-Thinking-2507 significantly outperforms across most benchmarks. Qwen3-235B-A22B-Thinking-2507 is 1.2x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

15 benchmarks

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.

Mon Jun 01 2026 • llm-stats.com

Arena Performance

Human preference votes

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

Mon Jun 01 2026 • llm-stats.com

Qwen3-235B-A22B-Thinking-2507

Input tokens$0.30

Output tokens$3.00

Best providerFireworks

Qwen3 VL 235B A22B Thinking

Input tokens$0.45

Output tokens$3.49

Best providerDeepinfra

Notice missing or incorrect data?Start an Issue→

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.

Qwen3-235B-A22B-Thinking-2507

235.0Bparameters

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.

Qwen3-235B-A22B-Thinking-2507

Input262,144 tokens

Output131,072 tokens

Qwen3 VL 235B A22B Thinking

Input262,144 tokens

Output262,144 tokens

Mon Jun 01 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

10 months ago

Qwen3 VL 235B A22B Thinking

Sep 22, 2025

8 months 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

Input Price:Input: $0.30/1MOutput Price:Output: $3.00/1M

Novita

Input Price:Input: $0.30/1MOutput Price:Output: $3.00/1M

Qwen3 VL 235B A22B Thinking

Deepinfra

Input Price:Input: $0.45/1MOutput Price:Output: $3.49/1M

Novita

Input Price:Input: $0.98/1MOutput Price:Output: $3.95/1M

* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Qwen3-235B-A22B-Thinking-2507

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens

Less expensive output tokens

Higher AIME 2025 score (92.3% vs 89.7%)

Higher Creative Writing v3 score (86.1% vs 85.7%)

Higher HMMT25 score (83.9% vs 77.4%)

Higher Humanity's Last Exam score (18.2% vs 13.6%)

Higher Include score (81.0% vs 80.0%)

Higher LiveCodeBench v6 score (74.1% vs 70.1%)

Higher MMLU-Pro score (84.4% vs 83.8%)

Higher MMLU-ProX score (81.0% vs 80.6%)

Higher MMLU-Redux score (93.8% vs 93.7%)

Higher Multi-IF score (80.6% vs 79.1%)

Higher SuperGPQA score (64.9% vs 64.3%)

Higher WritingBench score (88.3% vs 86.7%)

Qwen3 VL 235B A22B Thinking

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs

Higher IFEval score (88.2% vs 87.8%)

Higher LiveBench 20241125 score (79.6% vs 78.4%)

Detailed Comparison

AI Model Comparison Table
Feature	Qwen3-235B-A22B-Thinking-2507	Qwen3 VL 235B A22B Thinking

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 significantly outperforms across most benchmarks. 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 benchmark scores, pricing, and capabilities 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 input pricing ($0.30 vs $0.45/M), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.