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DeepSeek R1 Distill Qwen 14B vs Llama 3.3 70B Instruct

DeepSeek R1 Distill Qwen 14B and Llama 3.3 70B Instruct are closely matched at 10.9 and 13.8 on the LLM Stats Score.

DeepSeek · Meta · Updated for 2026

Which is better?

DeepSeek R1 Distill Qwen 14B and Llama 3.3 70B Instruct are closely matched on the overall LLM Stats Score at 10.9 and 13.8.

In the 1 individual benchmarks reported for both models, DeepSeek R1 Distill Qwen 14B 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 14B

  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Jan 2025

Choose Llama 3.3 70B Instruct

  • you want predictable pricing at $0.10/M input and $0.20/M output

At a glance

The differences that matter most.

DeepSeek R1 Distill Qwen 14B
DeepSeek
Llama 3.3 70B Instruct
Meta
Core performance indexes
LLM Stats Score
10.9
#259
13.8
#241
Reasoning
11.3
#255
11.7
#250
Coding
5.5
#197
9.3
#172
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
— / M
$0.10 / M
Output price
— / M
$0.20 / M
Context window
—
131,072

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek R1 Distill Qwen 14B
Llama 3.3 70B Instruct
Math
13.4#228
17.5#194
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Distill Qwen 14B · 9 for Llama 3.3 70B Instruct

1 shared

DeepSeek R1 Distill Qwen 14B outperforms in 1 benchmarks (GPQA), while Llama 3.3 70B Instruct is better at 0 benchmarks.

DeepSeek R1 Distill Qwen 14B significantly outperforms across most benchmarks.

Fri Sep 11 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

55.2B diff

Llama 3.3 70B Instruct has 55.2B more parameters than DeepSeek R1 Distill Qwen 14B, making it 373.0% larger.

DeepSeek
DeepSeek R1 Distill Qwen 14B
14.8Bparameters
Meta
Llama 3.3 70B Instruct
70.0Bparameters
14.8B
DeepSeek R1 Distill Qwen 14B
70.0B
Llama 3.3 70B Instruct

Context Window

Maximum input and output token capacity

Only Llama 3.3 70B Instruct specifies input context (131,072 tokens). Only Llama 3.3 70B Instruct specifies output context (131,072 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 14B
Input- tokens
Output- tokens
Meta
Llama 3.3 70B Instruct
Input131,072 tokens
Output131,072 tokens
Fri Sep 11 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 14B 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 14B

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 14B was released on 2025-01-20, while Llama 3.3 70B Instruct was released on 2024-12-06.

DeepSeek R1 Distill Qwen 14B is 2 months newer than Llama 3.3 70B Instruct.

DeepSeek R1 Distill Qwen 14B

Jan 20, 2025

1.6 years ago

1mo newer
Llama 3.3 70B Instruct

Dec 6, 2024

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

DeepSeek R1 Distill Qwen 14B
✓ Preferred
Llama 3.3 70B Instruct
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Qwen 14B vs Llama 3.3 70B Instruct.

Which is better, DeepSeek R1 Distill Qwen 14B or Llama 3.3 70B Instruct?

DeepSeek R1 Distill Qwen 14B and Llama 3.3 70B Instruct are closely matched on the LLM Stats Score at 10.9 and 13.8. DeepSeek R1 Distill Qwen 14B 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 14B compare to Llama 3.3 70B Instruct in benchmarks?

DeepSeek R1 Distill Qwen 14B scores MATH-500: 93.9%, AIME 2024: 80.0%, GPQA: 59.1%, LiveCodeBench: 53.1%. 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 14B and Llama 3.3 70B Instruct?

DeepSeek R1 Distill Qwen 14B supports an unknown number of tokens and Llama 3.3 70B 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 Llama 3.3 70B Instruct?

Key differences include LLM Stats Score (10.9 vs 13.8), 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 14B and Llama 3.3 70B Instruct?

DeepSeek R1 Distill Qwen 14B is developed by DeepSeek and Llama 3.3 70B Instruct is developed by Meta.

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