Model Comparison

Qwen2 72B Instruct vs Qwen3-235B-A22B-Instruct-2507

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

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Qwen2 72B Instruct outperforms in 0 benchmarks, while Qwen3-235B-A22B-Instruct-2507 is better at 3 benchmarks (GPQA, MMLU-Pro, MultiPL-E).

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

Fri May 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

163.0B diff

Qwen3-235B-A22B-Instruct-2507 has 163.0B more parameters than Qwen2 72B Instruct, making it 226.4% larger.

Qwen2 72B Instruct

72.0Bparameters

Qwen3-235B-A22B-Instruct-2507

235.0Bparameters

72.0B

Qwen2 72B Instruct

235.0B

Qwen3-235B-A22B-Instruct-2507

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).

Qwen2 72B Instruct

Input- tokens

Output- tokens

Qwen3-235B-A22B-Instruct-2507

Input262,144 tokens

Output131,072 tokens

Fri May 15 2026 • llm-stats.com

License

Usage and distribution terms

Qwen2 72B Instruct is licensed under tongyi-qianwen, while Qwen3-235B-A22B-Instruct-2507 uses Apache 2.0.

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

Qwen2 72B Instruct

tongyi-qianwen

Open weights

Qwen3-235B-A22B-Instruct-2507

Apache 2.0

Open weights

Release Timeline

When each model was launched

Qwen2 72B Instruct was released on 2024-07-23, while Qwen3-235B-A22B-Instruct-2507 was released on 2025-07-22.

Qwen3-235B-A22B-Instruct-2507 is 12 months newer than Qwen2 72B Instruct.

Qwen2 72B Instruct

Jul 23, 2024

1.8 years ago

Qwen3-235B-A22B-Instruct-2507

Jul 22, 2025

9 months ago

12mo 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

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Key Takeaways

Qwen2 72B Instruct

View details

Alibaba Cloud / Qwen Team

No standout differentiators in the data we have for this pair.

Qwen3-235B-A22B-Instruct-2507

View details

Alibaba Cloud / Qwen Team

Larger context window (262,144 tokens)

Higher GPQA score (77.5% vs 42.4%)

Higher MMLU-Pro score (83.0% vs 64.4%)

Higher MultiPL-E score (87.9% vs 69.2%)

Detailed Comparison

AI Model Comparison Table
Feature	Qwen2 72B Instruct	Qwen3-235B-A22B-Instruct-2507

FAQ

Common questions about Qwen2 72B Instruct vs Qwen3-235B-A22B-Instruct-2507.

Which is better, Qwen2 72B Instruct or Qwen3-235B-A22B-Instruct-2507?

Qwen3-235B-A22B-Instruct-2507 significantly outperforms across most benchmarks. Qwen2 72B Instruct is made by Alibaba Cloud / Qwen Team and Qwen3-235B-A22B-Instruct-2507 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 Qwen2 72B Instruct compare to Qwen3-235B-A22B-Instruct-2507 in benchmarks?

Qwen2 72B Instruct scores GSM8k: 91.1%, CMMLU: 90.1%, HellaSwag: 87.6%, HumanEval: 86.0%, Winogrande: 85.1%. 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%.

What are the context window sizes for Qwen2 72B Instruct and Qwen3-235B-A22B-Instruct-2507?

Qwen2 72B Instruct supports an unknown number of tokens and Qwen3-235B-A22B-Instruct-2507 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 Qwen2 72B Instruct and Qwen3-235B-A22B-Instruct-2507?

Key differences include licensing (tongyi-qianwen vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.