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o1-mini vs Qwen3.8-27B

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

OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

o1-mini 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 o1-mini

  • you want predictable pricing at $3.00/M input and $12.00/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
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Benchmark wins
0 of 1
1 of 1
Input price
$3.00 / M
— / M
Output price
$12.00 / M
— / M
Context window
128,000
Released
Sep 2024
Aug 2026
License
Proprietary
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

o1-mini outperforms in 0 benchmarks, while Qwen3.8-27B is better at 1 benchmark (GPQA).

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

Tue Aug 25 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Context Window

Maximum input and output token capacity

Only o1-mini specifies input context (128,000 tokens). Only o1-mini specifies output context (65,536 tokens).

OpenAI
o1-mini
Input128,000 tokens
Output65,536 tokens
Alibaba Cloud / Qwen Team
Qwen3.8-27B
Input- tokens
Output- tokens
Tue Aug 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3.8-27B supports multimodal inputs, whereas o1-mini does not.

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

o1-mini

Text
Images
Audio
Video

Qwen3.8-27B

Text
Images
Audio
Video

License

Usage and distribution terms

o1-mini is licensed under a proprietary license, while Qwen3.8-27B uses Apache 2.0.

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

o1-mini

Proprietary

Closed source

Qwen3.8-27B

Apache 2.0

Open weights

Release Timeline

When each model was launched

o1-mini was released on 2024-09-12, while Qwen3.8-27B was released on 2026-08-14.

Qwen3.8-27B is 23 months newer than o1-mini.

o1-mini

Sep 12, 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 o1-mini and Qwen3.8-27B side-by-side, then vote on the output you prefer.

o1-mini
✓ Preferred
Qwen3.8-27B
Open in Playground

FAQ

Common questions about o1-mini vs Qwen3.8-27B.

Which is better, o1-mini or Qwen3.8-27B?

Qwen3.8-27B significantly outperforms across most benchmarks. o1-mini is made by OpenAI 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 o1-mini compare to Qwen3.8-27B in benchmarks?

o1-mini scores HumanEval: 92.4%, MATH-500: 90.0%, MMLU: 85.2%, SuperGLUE: 75.0%, GPQA: 60.0%. 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 o1-mini and Qwen3.8-27B?

o1-mini supports 128K 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 o1-mini and Qwen3.8-27B?

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

Who makes o1-mini and Qwen3.8-27B?

o1-mini is developed by OpenAI and Qwen3.8-27B is developed by Alibaba Cloud / Qwen Team.