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DeepSeek R1 Distill Llama 8B vs Qwen2.5 72B Instruct

DeepSeek R1 Distill Llama 8B and Qwen2.5 72B Instruct are closely matched at 7.1 and 12.2 on the LLM Stats Score.

DeepSeek · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

DeepSeek R1 Distill Llama 8B and Qwen2.5 72B Instruct are closely matched on the overall LLM Stats Score at 7.1 and 12.2.

In the 2 individual benchmarks reported for both models, Qwen2.5 72B Instruct 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 Llama 8B

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

Choose Qwen2.5 72B Instruct

  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results

At a glance

The differences that matter most.

Core performance indexes
7.1
#288
12.2
#251
7.4
#280
12.3
#243
2.5
#222
9.2
#174
Cost, coverage & limits
Benchmark wins
0 of 2
2 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 Llama 8B
Qwen2.5 72B Instruct
10.8#247
17.8#190
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Distill Llama 8B · 14 for Qwen2.5 72B Instruct

2 shared

DeepSeek R1 Distill Llama 8B outperforms in 0 benchmarks, while Qwen2.5 72B Instruct is better at 1 benchmark (LiveCodeBench).

Qwen2.5 72B Instruct has a slight edge in benchmark performance.

Wed Sep 09 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

64.7B diff

Qwen2.5 72B Instruct has 64.7B more parameters than DeepSeek R1 Distill Llama 8B, making it 805.4% larger.

DeepSeek
DeepSeek R1 Distill Llama 8B
8.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
72.7Bparameters
8.0B
DeepSeek R1 Distill Llama 8B
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 Llama 8B
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
Input131,072 tokens
Output8,192 tokens
Wed Sep 09 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek R1 Distill Llama 8B 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 Llama 8B

MIT

Open weights

Qwen2.5 72B Instruct

Qwen

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Llama 8B was released on 2025-01-20, while Qwen2.5 72B Instruct was released on 2024-09-19.

DeepSeek R1 Distill Llama 8B is 4 months newer than Qwen2.5 72B Instruct.

DeepSeek R1 Distill Llama 8B

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 Llama 8B and Qwen2.5 72B Instruct side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Llama 8B
✓ Preferred
Qwen2.5 72B Instruct
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Llama 8B vs Qwen2.5 72B Instruct.

Which is better, DeepSeek R1 Distill Llama 8B or Qwen2.5 72B Instruct?

DeepSeek R1 Distill Llama 8B and Qwen2.5 72B Instruct are closely matched on the LLM Stats Score at 7.1 and 12.2. DeepSeek R1 Distill Llama 8B 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 Llama 8B compare to Qwen2.5 72B Instruct in benchmarks?

DeepSeek R1 Distill Llama 8B scores MATH-500: 89.1%, AIME 2024: 80.0%, GPQA: 49.0%, LiveCodeBench: 39.6%. 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 Llama 8B and Qwen2.5 72B Instruct?

DeepSeek R1 Distill Llama 8B 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 Llama 8B and Qwen2.5 72B Instruct?

Key differences include LLM Stats Score (7.1 vs 12.2), licensing (MIT vs Qwen). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Distill Llama 8B and Qwen2.5 72B Instruct?

DeepSeek R1 Distill Llama 8B is developed by DeepSeek and Qwen2.5 72B Instruct is developed by Alibaba Cloud / Qwen Team.