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DeepSeek R1 Distill Qwen 7B vs o3-mini

o3-mini leads the LLM Stats Score 21.6 to 8.6.

DeepSeek · OpenAI · Updated for 2026

Which is better?

o3-mini leads the overall LLM Stats Score 21.6 to 8.6, ranking #173 overall.

In the 2 individual benchmarks reported for both models, o3-mini wins 2; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose DeepSeek R1 Distill Qwen 7B

  • you need open weights you can self-host or fine-tune

Choose o3-mini

  • overall performance matters — it scores 21.6 and ranks #173 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • you want the most recent training data — it shipped Jan 2025

At a glance

The differences that matter most.

Core performance indexes
8.6
#261
21.6
#173
8.9
#251
20.8
#172
2.2
#214
5.3
#189
Cost, coverage & limits
Benchmark wins
0 of 2
2 of 2
Input price
— / M
$1.10 / M
Output price
— / M
$4.40 / M
Context window
200,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek R1 Distill Qwen 7B
o3-mini
14.1#211
29.5#78
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Distill Qwen 7B · 25 for o3-mini

2 shared

DeepSeek R1 Distill Qwen 7B outperforms in 0 benchmarks, while o3-mini is better at 2 benchmarks (AIME 2024, GPQA).

o3-mini significantly outperforms across most benchmarks.

Mon Aug 31 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only o3-mini specifies input context (200,000 tokens). Only o3-mini specifies output context (100,000 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 7B
Input- tokens
Output- tokens
OpenAI
o3-mini
Input200,000 tokens
Output100,000 tokens
Mon Aug 31 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 7B is licensed under MIT, while o3-mini uses a proprietary license.

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

DeepSeek R1 Distill Qwen 7B

MIT

Open weights

o3-mini

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 7B was released on 2025-01-20, while o3-mini was released on 2025-01-30.

o3-mini is 0 month newer than DeepSeek R1 Distill Qwen 7B.

DeepSeek R1 Distill Qwen 7B

Jan 20, 2025

1.6 years ago

o3-mini

Jan 30, 2025

1.6 years ago

1w newer

Knowledge Cutoff

When training data ends

o3-mini has a documented knowledge cutoff of 2023-09-30, while DeepSeek R1 Distill Qwen 7B's cutoff date is not specified.

We can confirm o3-mini's training data extends to 2023-09-30, but cannot make a direct comparison without DeepSeek R1 Distill Qwen 7B's cutoff date.

DeepSeek R1 Distill Qwen 7B

o3-mini

Sep 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against DeepSeek R1 Distill Qwen 7B and o3-mini side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Qwen 7B
✓ Preferred
o3-mini
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Qwen 7B vs o3-mini.

Which is better, DeepSeek R1 Distill Qwen 7B or o3-mini?

o3-mini leads the LLM Stats Score 21.6 to 8.6. DeepSeek R1 Distill Qwen 7B is made by DeepSeek and o3-mini is made by OpenAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek R1 Distill Qwen 7B compare to o3-mini in benchmarks?

DeepSeek R1 Distill Qwen 7B scores MATH-500: 92.8%, AIME 2024: 83.3%, GPQA: 49.1%, LiveCodeBench: 37.6%. o3-mini scores COLLIE: 98.7%, MATH: 97.9%, IFEval: 93.9%, MGSM: 92.0%, AIME 2024: 87.3%.

What are the context window sizes for DeepSeek R1 Distill Qwen 7B and o3-mini?

DeepSeek R1 Distill Qwen 7B supports an unknown number of tokens and o3-mini supports 200K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek R1 Distill Qwen 7B and o3-mini?

Key differences include LLM Stats Score (8.6 vs 21.6), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Distill Qwen 7B and o3-mini?

DeepSeek R1 Distill Qwen 7B is developed by DeepSeek and o3-mini is developed by OpenAI.