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DeepSeek R1 Distill Qwen 14B vs Qwen2.5 72B Instruct

DeepSeek R1 Distill Qwen 14B and Qwen2.5 72B Instruct are closely matched at 11.1 and 12.6 on the LLM Stats Score.

DeepSeek · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

DeepSeek R1 Distill Qwen 14B and Qwen2.5 72B Instruct are closely matched on the overall LLM Stats Score at 11.1 and 12.6.

The models split the 2 individual benchmarks reported for both models evenly.

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

Choose DeepSeek R1 Distill Qwen 14B

  • you want the most recent training data — it shipped Jan 2025

Choose Qwen2.5 72B Instruct

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

At a glance

The differences that matter most.

Core performance indexes
11.1
#248
12.6
#238
11.4
#244
12.7
#232
5.6
#190
9.3
#166
Cost, coverage & limits
Benchmark wins
1 of 2
1 of 2
Input price
— / M
$0.35 / M
Output price
— / M
$0.40 / M
Context window
131,072

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek R1 Distill Qwen 14B
Qwen2.5 72B Instruct
13.5#219
18.4#171
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Distill Qwen 14B · 14 for Qwen2.5 72B Instruct

2 shared

DeepSeek R1 Distill Qwen 14B outperforms in 1 benchmarks (GPQA), while Qwen2.5 72B Instruct is better at 1 benchmark (LiveCodeBench).

Both models are evenly matched across the benchmarks.

Thu Sep 03 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

57.9B diff

Qwen2.5 72B Instruct has 57.9B more parameters than DeepSeek R1 Distill Qwen 14B, making it 391.2% larger.

DeepSeek
DeepSeek R1 Distill Qwen 14B
14.8Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
72.7Bparameters
14.8B
DeepSeek R1 Distill Qwen 14B
72.7B
Qwen2.5 72B Instruct

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).

DeepSeek
DeepSeek R1 Distill Qwen 14B
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
Input131,072 tokens
Output8,192 tokens
Thu Sep 03 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 14B is licensed under MIT, while Qwen2.5 72B Instruct uses Qwen.

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

DeepSeek R1 Distill Qwen 14B

MIT

Open weights

Qwen2.5 72B Instruct

Qwen

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 14B was released on 2025-01-20, while Qwen2.5 72B Instruct was released on 2024-09-19.

DeepSeek R1 Distill Qwen 14B is 4 months newer than Qwen2.5 72B Instruct.

DeepSeek R1 Distill Qwen 14B

Jan 20, 2025

1.6 years ago

4mo newer
Qwen2.5 72B 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 14B and Qwen2.5 72B Instruct side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Qwen 14B
✓ Preferred
Qwen2.5 72B Instruct
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Qwen 14B vs Qwen2.5 72B Instruct.

Which is better, DeepSeek R1 Distill Qwen 14B or Qwen2.5 72B Instruct?

DeepSeek R1 Distill Qwen 14B and Qwen2.5 72B Instruct are closely matched on the LLM Stats Score at 11.1 and 12.6. DeepSeek R1 Distill Qwen 14B is made by DeepSeek and Qwen2.5 72B 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 14B compare to Qwen2.5 72B Instruct in benchmarks?

DeepSeek R1 Distill Qwen 14B scores MATH-500: 93.9%, AIME 2024: 80.0%, GPQA: 59.1%, LiveCodeBench: 53.1%. Qwen2.5 72B Instruct scores GSM8k: 95.8%, MT-Bench: 93.5%, MBPP: 88.2%, MMLU-Redux: 86.8%, HumanEval: 86.6%.

What are the context window sizes for DeepSeek R1 Distill Qwen 14B and Qwen2.5 72B Instruct?

DeepSeek R1 Distill Qwen 14B supports an unknown number of tokens and Qwen2.5 72B Instruct supports 131K 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 14B and Qwen2.5 72B Instruct?

Key differences include LLM Stats Score (11.1 vs 12.6), licensing (MIT vs Qwen). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Distill Qwen 14B and Qwen2.5 72B Instruct?

DeepSeek R1 Distill Qwen 14B is developed by DeepSeek and Qwen2.5 72B Instruct is developed by Alibaba Cloud / Qwen Team.