The AI arena is free today

Open Superagent

DeepSeek R1 Distill Qwen 7B vs Llama 3.3 70B Instruct

DeepSeek R1 Distill Qwen 7B and Llama 3.3 70B Instruct are closely matched at 8.6 and 14.0 on the LLM Stats Score.

DeepSeek · Meta · Updated for 2026

Which is better?

DeepSeek R1 Distill Qwen 7B and Llama 3.3 70B Instruct are closely matched on the overall LLM Stats Score at 8.6 and 14.0.

In the 1 individual benchmarks reported for both models, Llama 3.3 70B Instruct 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

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

Choose Llama 3.3 70B Instruct

  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results

At a glance

The differences that matter most.

DeepSeek R1 Distill Qwen 7B
DeepSeek
Llama 3.3 70B Instruct
Meta
Core performance indexes
LLM Stats Score
8.6
#265
14.0
#230
Reasoning
8.9
#254
11.9
#239
Coding
2.2
#218
9.4
#165
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
— / M
$0.20 / M
Output price
— / M
$0.20 / M
Context window
—
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek R1 Distill Qwen 7B
Llama 3.3 70B Instruct
Math
14.1#212
17.7#184
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Distill Qwen 7B · 9 for Llama 3.3 70B Instruct

1 shared

DeepSeek R1 Distill Qwen 7B 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 Sep 03 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

62.4B diff

Llama 3.3 70B Instruct has 62.4B more parameters than DeepSeek R1 Distill Qwen 7B, making it 818.6% larger.

DeepSeek
DeepSeek R1 Distill Qwen 7B
7.6Bparameters
Meta
Llama 3.3 70B Instruct
70.0Bparameters
7.6B
DeepSeek R1 Distill Qwen 7B
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 Qwen 7B
Input- tokens
Output- tokens
Meta
Llama 3.3 70B Instruct
Input128,000 tokens
Output128,000 tokens
Thu Sep 03 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 7B 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 Qwen 7B

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 Qwen 7B was released on 2025-01-20, while Llama 3.3 70B Instruct was released on 2024-12-06.

DeepSeek R1 Distill Qwen 7B is 2 months newer than Llama 3.3 70B Instruct.

DeepSeek R1 Distill Qwen 7B

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 Qwen 7B and Llama 3.3 70B Instruct side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Qwen 7B
✓ Preferred
Llama 3.3 70B Instruct
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Qwen 7B vs Llama 3.3 70B Instruct.

Which is better, DeepSeek R1 Distill Qwen 7B or Llama 3.3 70B Instruct?

DeepSeek R1 Distill Qwen 7B and Llama 3.3 70B Instruct are closely matched on the LLM Stats Score at 8.6 and 14.0. DeepSeek R1 Distill Qwen 7B is made by DeepSeek and Llama 3.3 70B Instruct is made by Meta. 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 Llama 3.3 70B Instruct in benchmarks?

DeepSeek R1 Distill Qwen 7B scores MATH-500: 92.8%, AIME 2024: 83.3%, GPQA: 49.1%, LiveCodeBench: 37.6%. 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 Qwen 7B and Llama 3.3 70B Instruct?

DeepSeek R1 Distill Qwen 7B 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 Qwen 7B and Llama 3.3 70B Instruct?

Key differences include LLM Stats Score (8.6 vs 14.0), licensing (MIT vs Llama 3.3 Community License Agreement). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Distill Qwen 7B and Llama 3.3 70B Instruct?

DeepSeek R1 Distill Qwen 7B is developed by DeepSeek and Llama 3.3 70B Instruct is developed by Meta.

Related comparisons