The AI arena is free today

Open Superagent

Llama 3.1 70B Instruct vs Qwen2.5 32B Instruct

Llama 3.1 70B Instruct and Qwen2.5 32B Instruct are closely matched at 7.8 and 7.9 on the LLM Stats Score.

Meta · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Llama 3.1 70B Instruct and Qwen2.5 32B Instruct are closely matched on the overall LLM Stats Score at 7.8 and 7.9.

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 3.1 70B Instruct

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

Choose Qwen2.5 32B Instruct

  • you value its reported benchmark strengths — it wins 3 of 5 exact shared results
  • you want the most recent training data — it shipped Sep 2024

At a glance

The differences that matter most.

Core performance indexes
7.8
#272
7.9
#269
6.5
#273
7.3
#268
3.7
#202
9.5
#160
Cost, coverage & limits
Benchmark wins
2 of 5
3 of 5
Input price
$0.20 / M
— / M
Output price
$0.20 / M
— / M
Context window
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Llama 3.1 70B Instruct
Qwen2.5 32B Instruct
11.8#233
16.7#193
9.7#140
9.7#141
9.7#126
9.5#128
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

18 reported for Llama 3.1 70B Instruct · 18 for Qwen2.5 32B Instruct

5 shared

Llama 3.1 70B Instruct outperforms in 2 benchmarks (ARC-C, MMLU), while Qwen2.5 32B Instruct is better at 3 benchmarks (GPQA, HumanEval, MMLU-Pro).

Qwen2.5 32B Instruct has a slight edge in benchmark performance.

Wed Sep 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 3.1 70B Instruct has 37.5B more parameters than Qwen2.5 32B Instruct, making it 115.4% larger.

Meta
Llama 3.1 70B Instruct
70.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 32B Instruct
32.5Bparameters
70.0B
Llama 3.1 70B Instruct
32.5B
Qwen2.5 32B Instruct

Context Window

Maximum input and output token capacity

Only Llama 3.1 70B Instruct specifies input context (128,000 tokens). Only Llama 3.1 70B Instruct specifies output context (128,000 tokens).

Meta
Llama 3.1 70B Instruct
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 32B Instruct
Input- tokens
Output- tokens
Wed Sep 02 2026 • llm-stats.com

License

Usage and distribution terms

Llama 3.1 70B Instruct is licensed under Llama 3.1 Community License, 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 3.1 70B Instruct

Llama 3.1 Community License

Open weights

Qwen2.5 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Llama 3.1 70B Instruct was released on 2024-07-23, while Qwen2.5 32B Instruct was released on 2024-09-19.

Qwen2.5 32B Instruct is 2 months newer than Llama 3.1 70B Instruct.

Llama 3.1 70B Instruct

Jul 23, 2024

2.1 years ago

Qwen2.5 32B Instruct

Sep 19, 2024

2.0 years ago

1mo newer

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 Llama 3.1 70B Instruct and Qwen2.5 32B Instruct side-by-side, then vote on the output you prefer.

Llama 3.1 70B Instruct
✓ Preferred
Qwen2.5 32B Instruct
Open in Playground

FAQ

Common questions about Llama 3.1 70B Instruct vs Qwen2.5 32B Instruct.

Which is better, Llama 3.1 70B Instruct or Qwen2.5 32B Instruct?

Llama 3.1 70B Instruct and Qwen2.5 32B Instruct are closely matched on the LLM Stats Score at 7.8 and 7.9. Llama 3.1 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 3.1 70B Instruct compare to Qwen2.5 32B Instruct in benchmarks?

Llama 3.1 70B Instruct scores GSM-8K (CoT): 95.1%, ARC-C: 94.8%, API-Bank: 90.0%, IFEval: 87.5%, Multilingual MGSM (CoT): 86.9%. 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 3.1 70B Instruct and Qwen2.5 32B Instruct?

Llama 3.1 70B Instruct supports 128K 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 3.1 70B Instruct and Qwen2.5 32B Instruct?

Key differences include LLM Stats Score (7.8 vs 7.9), licensing (Llama 3.1 Community License vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Llama 3.1 70B Instruct and Qwen2.5 32B Instruct?

Llama 3.1 70B Instruct is developed by Meta and Qwen2.5 32B Instruct is developed by Alibaba Cloud / Qwen Team.