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DeepSeek R1 Distill Llama 8B vs Llama 3.3 70B Instruct

Llama 3.3 70B Instruct significantly outperforms across most benchmarks.

DeepSeek · Meta · Updated for 2026

Which is better?

DeepSeek R1 Distill Llama 8B outperforms in 0 benchmarks, while Llama 3.3 70B Instruct is better at 1 benchmark (GPQA). Llama 3.3 70B Instruct significantly outperforms across most benchmarks.

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

Choose DeepSeek R1 Distill Llama 8B

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

Choose Llama 3.3 70B Instruct

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks

At a glance

The differences that matter most.

DeepSeek R1 Distill Llama 8B
DeepSeek
Llama 3.3 70B Instruct
Meta
Benchmark wins
0 of 1
1 of 1
Input price
— / M
$0.20 / M
Output price
— / M
$0.20 / M
Context window
—
128,000
Released
Jan 2025
Dec 2024
License
MIT
Llama 3.3 Community License Agreement

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek R1 Distill Llama 8B outperforms in 0 benchmarks, while Llama 3.3 70B Instruct is better at 1 benchmark (GPQA).

Llama 3.3 70B Instruct significantly outperforms across most benchmarks.

Thu Aug 27 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

62.0B diff

Llama 3.3 70B Instruct has 62.0B more parameters than DeepSeek R1 Distill Llama 8B, making it 771.7% larger.

DeepSeek
DeepSeek R1 Distill Llama 8B
8.0Bparameters
Meta
Llama 3.3 70B Instruct
70.0Bparameters
8.0B
DeepSeek R1 Distill Llama 8B
70.0B
Llama 3.3 70B Instruct

Context Window

Maximum input and output token capacity

Only Llama 3.3 70B Instruct specifies input context (128,000 tokens). Only Llama 3.3 70B Instruct specifies output context (128,000 tokens).

DeepSeek
DeepSeek R1 Distill Llama 8B
Input- tokens
Output- tokens
Meta
Llama 3.3 70B Instruct
Input128,000 tokens
Output128,000 tokens
Thu Aug 27 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek R1 Distill Llama 8B is licensed under MIT, while Llama 3.3 70B Instruct uses Llama 3.3 Community License Agreement.

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

DeepSeek R1 Distill Llama 8B

MIT

Open weights

Llama 3.3 70B Instruct

Llama 3.3 Community License Agreement

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Llama 8B was released on 2025-01-20, while Llama 3.3 70B Instruct was released on 2024-12-06.

DeepSeek R1 Distill Llama 8B is 2 months newer than Llama 3.3 70B Instruct.

DeepSeek R1 Distill Llama 8B

Jan 20, 2025

1.6 years ago

1mo newer
Llama 3.3 70B Instruct

Dec 6, 2024

1.7 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 Llama 3.3 70B Instruct side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Llama 8B
✓ Preferred
Llama 3.3 70B Instruct
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Llama 8B vs Llama 3.3 70B Instruct.

Which is better, DeepSeek R1 Distill Llama 8B or Llama 3.3 70B Instruct?

Llama 3.3 70B Instruct significantly outperforms across most benchmarks. DeepSeek R1 Distill Llama 8B is made by DeepSeek and Llama 3.3 70B Instruct is made by Meta. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek R1 Distill Llama 8B compare to Llama 3.3 70B Instruct in benchmarks?

DeepSeek R1 Distill Llama 8B scores MATH-500: 89.1%, AIME 2024: 80.0%, GPQA: 49.0%, LiveCodeBench: 39.6%. Llama 3.3 70B Instruct scores IFEval: 92.1%, MGSM: 91.1%, HumanEval: 88.4%, MBPP EvalPlus: 87.6%, MMLU: 86.0%.

What are the context window sizes for DeepSeek R1 Distill Llama 8B and Llama 3.3 70B Instruct?

DeepSeek R1 Distill Llama 8B supports an unknown number of tokens and Llama 3.3 70B Instruct supports 128K 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 Llama 3.3 70B Instruct?

Key differences include licensing (MIT vs Llama 3.3 Community License Agreement). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Distill Llama 8B and Llama 3.3 70B Instruct?

DeepSeek R1 Distill Llama 8B is developed by DeepSeek and Llama 3.3 70B Instruct is developed by Meta.

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