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DeepSeek R1 Distill Llama 70B vs DeepSeek R1 Distill Qwen 7B

DeepSeek R1 Distill Llama 70B significantly outperforms across most benchmarks.

DeepSeek · DeepSeek · Updated for 2026

Which is better?

DeepSeek R1 Distill Llama 70B outperforms in 4 benchmarks (AIME 2024, GPQA, LiveCodeBench, MATH-500), while DeepSeek R1 Distill Qwen 7B is better at 0 benchmarks. DeepSeek R1 Distill Llama 70B significantly outperforms across most benchmarks.

Based on current benchmark, pricing, and model metadata for 2026.

Choose DeepSeek R1 Distill Llama 70B

  • you want the strongest raw capability — it leads on 4 of 4 shared benchmarks

Choose DeepSeek R1 Distill Qwen 7B

  • you are already invested in the DeepSeek ecosystem

At a glance

The differences that matter most.

DeepSeek R1 Distill Llama 70B
DeepSeek
DeepSeek R1 Distill Qwen 7B
DeepSeek
Benchmark wins
4 of 4
0 of 4
Input price
$0.10 / M
— / M
Output price
$0.40 / M
— / M
Context window
128,000
—
Released
Jan 2025
Jan 2025
License
MIT
MIT

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

DeepSeek R1 Distill Llama 70B outperforms in 4 benchmarks (AIME 2024, GPQA, LiveCodeBench, MATH-500), while DeepSeek R1 Distill Qwen 7B is better at 0 benchmarks.

DeepSeek R1 Distill Llama 70B significantly outperforms across most benchmarks.

Tue Aug 25 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

63.0B diff

DeepSeek R1 Distill Llama 70B has 63.0B more parameters than DeepSeek R1 Distill Qwen 7B, making it 826.5% larger.

DeepSeek
DeepSeek R1 Distill Llama 70B
70.6Bparameters
DeepSeek
DeepSeek R1 Distill Qwen 7B
7.6Bparameters
70.6B
DeepSeek R1 Distill Llama 70B
7.6B
DeepSeek R1 Distill Qwen 7B

Context Window

Maximum input and output token capacity

Only DeepSeek R1 Distill Llama 70B specifies input context (128,000 tokens). Only DeepSeek R1 Distill Llama 70B specifies output context (128,000 tokens).

DeepSeek
DeepSeek R1 Distill Llama 70B
Input128,000 tokens
Output128,000 tokens
DeepSeek
DeepSeek R1 Distill Qwen 7B
Input- tokens
Output- tokens
Tue Aug 25 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under MIT.

Both models share the same licensing terms, providing consistent usage rights.

DeepSeek R1 Distill Llama 70B

MIT

Open weights

DeepSeek R1 Distill Qwen 7B

MIT

Open weights

Release Timeline

When each model was launched

Both models were released on 2025-01-20.

They likely represent similar generations of model development.

DeepSeek R1 Distill Llama 70B

Jan 20, 2025

1.6 years ago

DeepSeek R1 Distill Qwen 7B

Jan 20, 2025

1.6 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 70B and DeepSeek R1 Distill Qwen 7B side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Llama 70B
✓ Preferred
DeepSeek R1 Distill Qwen 7B
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Llama 70B vs DeepSeek R1 Distill Qwen 7B.

Which is better, DeepSeek R1 Distill Llama 70B or DeepSeek R1 Distill Qwen 7B?

DeepSeek R1 Distill Llama 70B significantly outperforms across most benchmarks. DeepSeek R1 Distill Llama 70B is made by DeepSeek and DeepSeek R1 Distill Qwen 7B is made by DeepSeek. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek R1 Distill Llama 70B compare to DeepSeek R1 Distill Qwen 7B in benchmarks?

DeepSeek R1 Distill Llama 70B scores MATH-500: 94.5%, AIME 2024: 86.7%, GPQA: 65.2%, LiveCodeBench: 57.5%. DeepSeek R1 Distill Qwen 7B scores MATH-500: 92.8%, AIME 2024: 83.3%, GPQA: 49.1%, LiveCodeBench: 37.6%.

What are the context window sizes for DeepSeek R1 Distill Llama 70B and DeepSeek R1 Distill Qwen 7B?

DeepSeek R1 Distill Llama 70B supports 128K tokens and DeepSeek R1 Distill Qwen 7B supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

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