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

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

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

Which is better?

Qwen2 72B Instruct outperforms in 0 benchmarks, while Qwen3-235B-A22B-Thinking-2507 is better at 2 benchmarks (GPQA, MMLU-Pro). Qwen3-235B-A22B-Thinking-2507 significantly outperforms across most benchmarks.

Based on current benchmark, pricing, and model metadata for 2026.

Choose Qwen2 72B Instruct

  • you are already invested in the Alibaba Cloud / Qwen Team ecosystem

Choose Qwen3-235B-A22B-Thinking-2507

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you want the most recent training data — it shipped Jul 2025

At a glance

The differences that matter most.

Benchmark wins
0 of 2
2 of 2
Input price
— / M
$0.30 / M
Output price
— / M
$3.00 / M
Context window
262,144
Released
Jul 2024
Jul 2025
License
tongyi-qianwen
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Qwen2 72B Instruct outperforms in 0 benchmarks, while Qwen3-235B-A22B-Thinking-2507 is better at 2 benchmarks (GPQA, MMLU-Pro).

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

Tue Aug 25 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

163.0B diff

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

Alibaba Cloud / Qwen Team
Qwen2 72B Instruct
72.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507
235.0Bparameters
72.0B
Qwen2 72B Instruct
235.0B
Qwen3-235B-A22B-Thinking-2507

Context Window

Maximum input and output token capacity

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

Alibaba Cloud / Qwen Team
Qwen2 72B Instruct
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507
Input262,144 tokens
Output131,072 tokens
Tue Aug 25 2026 • llm-stats.com

License

Usage and distribution terms

Qwen2 72B Instruct is licensed under tongyi-qianwen, while Qwen3-235B-A22B-Thinking-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-Thinking-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-Thinking-2507 was released on 2025-07-25.

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

Qwen2 72B Instruct

Jul 23, 2024

2.1 years ago

Qwen3-235B-A22B-Thinking-2507

Jul 25, 2025

1.1 years ago

1.0yr 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 Qwen2 72B Instruct and Qwen3-235B-A22B-Thinking-2507 side-by-side, then vote on the output you prefer.

Qwen2 72B Instruct
✓ Preferred
Qwen3-235B-A22B-Thinking-2507
Open in Playground

FAQ

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

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

Qwen3-235B-A22B-Thinking-2507 significantly outperforms across most benchmarks. Qwen2 72B Instruct is made by Alibaba Cloud / Qwen Team and Qwen3-235B-A22B-Thinking-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-Thinking-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-Thinking-2507 scores MMLU-Redux: 93.8%, AIME 2025: 92.3%, WritingBench: 88.3%, IFEval: 87.8%, Creative Writing v3: 86.1%.

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

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

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