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DeepSeek R1 Distill Qwen 7B vs Qwen2.5 14B Instruct

DeepSeek R1 Distill Qwen 7B leads the LLM Stats Score 8.6 to 3.9.

DeepSeek · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

DeepSeek R1 Distill Qwen 7B leads the overall LLM Stats Score 8.6 to 3.9, ranking #262 overall.

In the 1 individual benchmarks reported for both models, DeepSeek R1 Distill Qwen 7B wins 1; 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

  • overall performance matters — it scores 8.6 and ranks #262 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Jan 2025

Choose Qwen2.5 14B Instruct

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

At a glance

The differences that matter most.

Core performance indexes
8.6
#262
3.9
#289
8.9
#252
3.3
#287
2.2
#215
4.0
#202
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
— / M
— / M
Output price
— / M
— / M
Context window

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek R1 Distill Qwen 7B
Qwen2.5 14B Instruct
14.1#212
10.7#242
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Distill Qwen 7B · 16 for Qwen2.5 14B Instruct

1 shared

DeepSeek R1 Distill Qwen 7B outperforms in 1 benchmarks (GPQA), while Qwen2.5 14B Instruct is better at 0 benchmarks.

DeepSeek R1 Distill Qwen 7B significantly outperforms across most benchmarks.

Wed Sep 02 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

7.1B diff

Qwen2.5 14B Instruct has 7.1B more parameters than DeepSeek R1 Distill Qwen 7B, making it 92.9% larger.

DeepSeek
DeepSeek R1 Distill Qwen 7B
7.6Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 14B Instruct
14.7Bparameters
7.6B
DeepSeek R1 Distill Qwen 7B
14.7B
Qwen2.5 14B Instruct

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 7B is licensed under MIT, while Qwen2.5 14B Instruct uses Apache 2.0.

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

DeepSeek R1 Distill Qwen 7B

MIT

Open weights

Qwen2.5 14B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 7B was released on 2025-01-20, while Qwen2.5 14B Instruct was released on 2024-09-19.

DeepSeek R1 Distill Qwen 7B is 4 months newer than Qwen2.5 14B Instruct.

DeepSeek R1 Distill Qwen 7B

Jan 20, 2025

1.6 years ago

4mo newer
Qwen2.5 14B Instruct

Sep 19, 2024

2.0 years ago

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 DeepSeek R1 Distill Qwen 7B and Qwen2.5 14B Instruct side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Qwen 7B
✓ Preferred
Qwen2.5 14B Instruct
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Qwen 7B vs Qwen2.5 14B Instruct.

Which is better, DeepSeek R1 Distill Qwen 7B or Qwen2.5 14B Instruct?

DeepSeek R1 Distill Qwen 7B leads the LLM Stats Score 8.6 to 3.9. DeepSeek R1 Distill Qwen 7B is made by DeepSeek and Qwen2.5 14B Instruct is made by Alibaba Cloud / Qwen Team. 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 Qwen2.5 14B Instruct in benchmarks?

DeepSeek R1 Distill Qwen 7B scores MATH-500: 92.8%, AIME 2024: 83.3%, GPQA: 49.1%, LiveCodeBench: 37.6%. Qwen2.5 14B Instruct scores GSM8k: 94.8%, HumanEval: 83.5%, MBPP: 82.0%, MATH: 80.0%, MMLU-Redux: 80.0%.

What are the main differences between DeepSeek R1 Distill Qwen 7B and Qwen2.5 14B Instruct?

Key differences include LLM Stats Score (8.6 vs 3.9), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Distill Qwen 7B and Qwen2.5 14B Instruct?

DeepSeek R1 Distill Qwen 7B is developed by DeepSeek and Qwen2.5 14B Instruct is developed by Alibaba Cloud / Qwen Team.