Model Comparison

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

Qwen3-235B-A22B-Thinking-2507 shows notably better performance in the majority of benchmarks. Qwen3-235B-A22B-Thinking-2507 is 1.7x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Qwen3-235B-A22B-Thinking-2507 outperforms in 3 benchmarks (AIME 2025, GPQA, LiveCodeBench v6), while Qwen3 Max is better at 1 benchmark (SuperGPQA).

Qwen3-235B-A22B-Thinking-2507 shows notably better performance in the majority of benchmarks.

Sat May 09 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 1.7x cheaper than Qwen3 Max ($0.50/1M tokens).

For output processing, Qwen3-235B-A22B-Thinking-2507 ($3.00/1M tokens) is 1.7x cheaper than Qwen3 Max ($5.00/1M tokens).

In conclusion, Qwen3 Max 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

Sat May 09 2026 • llm-stats.com

Qwen3-235B-A22B-Thinking-2507

Input tokens$0.30

Output tokens$3.00

Best providerFireworks

Qwen3 Max

Input tokens$0.50

Output tokens$5.00

Best providerNovita

Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

765.0B diff

Qwen3 Max has 765.0B more parameters than Qwen3-235B-A22B-Thinking-2507, making it 325.5% larger.

Qwen3-235B-A22B-Thinking-2507

235.0Bparameters

Qwen3 Max

1.0Tparameters

235.0B

Qwen3-235B-A22B-Thinking-2507

1000.0B

Qwen3 Max

Context Window

Maximum input and output token capacity

Qwen3-235B-A22B-Thinking-2507 accepts 262,144 input tokens compared to Qwen3 Max's 256,000 tokens. Both models can generate responses up to 131,072 tokens.

Qwen3-235B-A22B-Thinking-2507

Input262,144 tokens

Output131,072 tokens

Qwen3 Max

Input256,000 tokens

Output131,072 tokens

Sat May 09 2026 • llm-stats.com

License

Usage and distribution terms

Qwen3-235B-A22B-Thinking-2507 is licensed under Apache 2.0, while Qwen3 Max uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

Qwen3-235B-A22B-Thinking-2507

Apache 2.0

Open weights

Qwen3 Max

Proprietary

Closed source

Release Timeline

When each model was launched

Qwen3-235B-A22B-Thinking-2507 was released on 2025-07-25, while Qwen3 Max was released on 2025-12-15.

Qwen3 Max is 5 months newer than Qwen3-235B-A22B-Thinking-2507.

Qwen3-235B-A22B-Thinking-2507

Jul 25, 2025

9 months ago

Qwen3 Max

Dec 15, 2025

4 months ago

4mo 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 Max is available from 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 Max

Novita

Input Price:Input: $0.50/1MOutput Price:Output: $5.00/1M

* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Qwen3-235B-A22B-Thinking-2507

View details

Alibaba Cloud / Qwen Team

Larger context window (262,144 tokens)

Less expensive input tokens

Less expensive output tokens

Has open weights

Higher AIME 2025 score (92.3% vs 81.6%)

Higher GPQA score (81.1% vs 62.0%)

Higher LiveCodeBench v6 score (74.1% vs 69.0%)

Qwen3 Max

View details

Alibaba Cloud / Qwen Team

Higher SuperGPQA score (65.1% vs 64.9%)

Detailed Comparison

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

FAQ

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

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

Qwen3-235B-A22B-Thinking-2507 shows notably better performance in the majority of benchmarks. Qwen3-235B-A22B-Thinking-2507 is made by Alibaba Cloud / Qwen Team and Qwen3 Max 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 Max 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 Max scores AIME 2025: 81.6%, t2-bench: 74.8%, SWE-Bench Verified: 69.6%, LiveCodeBench v6: 69.0%, SuperGPQA: 65.1%.

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

Qwen3-235B-A22B-Thinking-2507 is 1.7x cheaper for input tokens. Qwen3-235B-A22B-Thinking-2507 costs $0.30/M input and $3.00/M output via fireworks. Qwen3 Max costs $0.50/M input and $5.00/M output via novita.

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

Qwen3-235B-A22B-Thinking-2507 supports 262K tokens and Qwen3 Max supports 256K 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 Max?

Key differences include context window (262K vs 256K), input pricing ($0.30 vs $0.50/M), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.