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Qwen2.5 72B Instruct vs Qwen3.8-27B

Qwen3.8-27B significantly outperforms across most benchmarks.

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

Which is better?

Qwen2.5 72B Instruct outperforms in 0 benchmarks, while Qwen3.8-27B is better at 1 benchmark (GPQA). Qwen3.8-27B significantly outperforms across most benchmarks.

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

Choose Qwen2.5 72B Instruct

  • you want predictable pricing at $0.35/M input and $0.40/M output

Choose Qwen3.8-27B

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

Benchmark wins
0 of 1
1 of 1
Input price
$0.35 / M
— / M
Output price
$0.40 / M
— / M
Context window
131,072
Released
Sep 2024
Aug 2026
License
Qwen
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Qwen2.5 72B Instruct outperforms in 0 benchmarks, while Qwen3.8-27B is better at 1 benchmark (GPQA).

Qwen3.8-27B significantly outperforms across most benchmarks.

Mon Aug 24 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

44.9B diff

Qwen2.5 72B Instruct has 44.9B more parameters than Qwen3.8-27B, making it 161.7% larger.

Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
72.7Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8-27B
27.8Bparameters
72.7B
Qwen2.5 72B Instruct
27.8B
Qwen3.8-27B

Context Window

Maximum input and output token capacity

Only Qwen2.5 72B Instruct specifies input context (131,072 tokens). Only Qwen2.5 72B Instruct specifies output context (8,192 tokens).

Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
Input131,072 tokens
Output8,192 tokens
Alibaba Cloud / Qwen Team
Qwen3.8-27B
Input- tokens
Output- tokens
Mon Aug 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3.8-27B supports multimodal inputs, whereas Qwen2.5 72B Instruct does not.

Qwen3.8-27B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Qwen2.5 72B Instruct

Text
Images
Audio
Video

Qwen3.8-27B

Text
Images
Audio
Video

License

Usage and distribution terms

Qwen2.5 72B Instruct is licensed under Qwen, while Qwen3.8-27B uses Apache 2.0.

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

Qwen2.5 72B Instruct

Qwen

Open weights

Qwen3.8-27B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Qwen2.5 72B Instruct was released on 2024-09-19, while Qwen3.8-27B was released on 2026-08-14.

Qwen3.8-27B is 23 months newer than Qwen2.5 72B Instruct.

Qwen2.5 72B Instruct

Sep 19, 2024

1.9 years ago

Qwen3.8-27B

Aug 14, 2026

1 weeks ago

1.9yr 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 Qwen2.5 72B Instruct and Qwen3.8-27B side-by-side, then vote on the output you prefer.

Qwen2.5 72B Instruct
✓ Preferred
Qwen3.8-27B
Open in Playground

FAQ

Common questions about Qwen2.5 72B Instruct vs Qwen3.8-27B.

Which is better, Qwen2.5 72B Instruct or Qwen3.8-27B?

Qwen3.8-27B significantly outperforms across most benchmarks. Qwen2.5 72B Instruct is made by Alibaba Cloud / Qwen Team and Qwen3.8-27B 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 Qwen2.5 72B Instruct compare to Qwen3.8-27B in benchmarks?

Qwen2.5 72B Instruct scores GSM8k: 95.8%, MT-Bench: 93.5%, MBPP: 88.2%, MMLU-Redux: 86.8%, HumanEval: 86.6%. Qwen3.8-27B scores MathVision: 94.6%, OmniDocBench 1.5: 91.1%, LiveCodeBench v6: 90.3%, CharXiv-R: 90.2%, GPQA: 89.2%.

What are the context window sizes for Qwen2.5 72B Instruct and Qwen3.8-27B?

Qwen2.5 72B Instruct supports 131K tokens and Qwen3.8-27B supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Qwen2.5 72B Instruct and Qwen3.8-27B?

Key differences include multimodal support (no vs yes), licensing (Qwen vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.