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Llama 3.3 70B Instruct vs Qwen2.5 32B Instruct

Llama 3.3 70B Instruct leads the LLM Stats Score 13.8 to 7.7.

Meta · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Llama 3.3 70B Instruct leads the overall LLM Stats Score 13.8 to 7.7, ranking #249 overall.

In the 5 individual benchmarks reported for both models, Qwen2.5 32B Instruct wins 3; 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 Llama 3.3 70B Instruct

  • overall performance matters — it scores 13.8 and ranks #249 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Dec 2024

Choose Qwen2.5 32B Instruct

  • you value its reported benchmark strengths — it wins 3 of 5 exact shared results

At a glance

The differences that matter most.

Core performance indexes
13.8
#249
7.7
#292
11.7
#259
7.2
#291
9.3
#181
9.4
#180
Cost, coverage & limits
Benchmark wins
2 of 5
3 of 5
Input price
$0.10 / M
— / M
Output price
$0.20 / M
— / M
Context window
131,072
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Llama 3.3 70B Instruct
Qwen2.5 32B Instruct
17.5#195
16.4#208
14.0#131
9.3#151
14.0#116
9.1#136
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

9 reported for Llama 3.3 70B Instruct · 18 for Qwen2.5 32B Instruct

5 shared

Llama 3.3 70B Instruct outperforms in 2 benchmarks (GPQA, MMLU), while Qwen2.5 32B Instruct is better at 2 benchmarks (MATH, MMLU-Pro).

Both models are evenly matched across the benchmarks.

Fri Oct 02 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

37.5B diff

Llama 3.3 70B Instruct has 37.5B more parameters than Qwen2.5 32B Instruct, making it 115.4% larger.

Meta
Llama 3.3 70B Instruct
70.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 32B Instruct
32.5Bparameters
70.0B
Llama 3.3 70B Instruct
32.5B
Qwen2.5 32B 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).

Meta
Llama 3.3 70B Instruct
Input131,072 tokens
Output131,072 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 32B Instruct
Input- tokens
Output- tokens
Fri Oct 02 2026 • llm-stats.com

License

Usage and distribution terms

Llama 3.3 70B Instruct is licensed under Llama 3.3 Community License Agreement, while Qwen2.5 32B Instruct uses Apache 2.0.

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

Llama 3.3 70B Instruct

Llama 3.3 Community License Agreement

Open weights

Qwen2.5 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Llama 3.3 70B Instruct was released on 2024-12-06, while Qwen2.5 32B Instruct was released on 2024-09-19.

Llama 3.3 70B Instruct is 3 months newer than Qwen2.5 32B Instruct.

Llama 3.3 70B Instruct

Dec 6, 2024

1.8 years ago

2mo newer
Qwen2.5 32B 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?

Judge for yourself.

Run your own prompts against Llama 3.3 70B Instruct and Qwen2.5 32B Instruct side-by-side, then vote on the output you prefer.

Llama 3.3 70B Instruct
✓ Preferred
Qwen2.5 32B Instruct
Open in Playground

FAQ

Common questions about Llama 3.3 70B Instruct vs Qwen2.5 32B Instruct.

Which is better, Llama 3.3 70B Instruct or Qwen2.5 32B Instruct?

Llama 3.3 70B Instruct leads the LLM Stats Score 13.8 to 7.7. Llama 3.3 70B Instruct is made by Meta and Qwen2.5 32B 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 Llama 3.3 70B Instruct compare to Qwen2.5 32B Instruct in benchmarks?

Llama 3.3 70B Instruct scores IFEval: 92.1%, MGSM: 91.1%, HumanEval: 88.4%, MBPP EvalPlus: 87.6%, MMLU: 86.0%. Qwen2.5 32B Instruct scores GSM8k: 95.9%, HumanEval: 88.4%, HellaSwag: 85.2%, BBH: 84.5%, MBPP: 84.0%.

What are the context window sizes for Llama 3.3 70B Instruct and Qwen2.5 32B Instruct?

Llama 3.3 70B Instruct supports 131K tokens and Qwen2.5 32B Instruct supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Llama 3.3 70B Instruct and Qwen2.5 32B Instruct?

Key differences include LLM Stats Score (13.8 vs 7.7), licensing (Llama 3.3 Community License Agreement vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Llama 3.3 70B Instruct and Qwen2.5 32B Instruct?

Llama 3.3 70B Instruct is developed by Meta and Qwen2.5 32B Instruct is developed by Alibaba Cloud / Qwen Team.