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Llama 3.1 405B Instruct vs Qwen2.5-Omni-7B

Llama 3.1 405B Instruct leads the LLM Stats Score 14.8 to 5.3.

Meta · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Llama 3.1 405B Instruct leads the overall LLM Stats Score 14.8 to 5.3, ranking #222 overall.

In the 5 individual benchmarks reported for both models, Llama 3.1 405B Instruct wins 5; 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 405B Instruct

  • overall performance matters — it scores 14.8 and ranks #222 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 5 of 5 exact shared results

Choose Qwen2.5-Omni-7B

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

At a glance

The differences that matter most.

Core performance indexes
14.8
#222
5.3
#286
13.9
#221
1.6
#298
11.6
#149
1.2
#226
Cost, coverage & limits
Benchmark wins
5 of 5
0 of 5
Input price
$0.89 / M
— / M
Output price
$0.89 / M
— / M
Context window
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Llama 3.1 405B Instruct
Qwen2.5-Omni-7B
19.5#161
5.5#264
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

18 reported for Llama 3.1 405B Instruct · 45 for Qwen2.5-Omni-7B

5 shared

Llama 3.1 405B Instruct outperforms in 5 benchmarks (GPQA, GSM8k, HumanEval, MATH, MMLU-Pro), while Qwen2.5-Omni-7B is better at 0 benchmarks.

Llama 3.1 405B Instruct significantly outperforms across most benchmarks.

Fri Sep 04 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

398.0B diff

Llama 3.1 405B Instruct has 398.0B more parameters than Qwen2.5-Omni-7B, making it 5685.7% larger.

Meta
Llama 3.1 405B Instruct
405.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5-Omni-7B
7.0Bparameters
405.0B
Llama 3.1 405B Instruct
7.0B
Qwen2.5-Omni-7B

Context Window

Maximum input and output token capacity

Only Llama 3.1 405B Instruct specifies input context (128,000 tokens). Only Llama 3.1 405B Instruct specifies output context (128,000 tokens).

Meta
Llama 3.1 405B Instruct
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen2.5-Omni-7B
Input- tokens
Output- tokens
Fri Sep 04 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Qwen2.5-Omni-7B supports multimodal inputs, whereas Llama 3.1 405B Instruct does not.

Qwen2.5-Omni-7B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Llama 3.1 405B Instruct

Text
Images
Audio
Video

Qwen2.5-Omni-7B

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 3.1 405B Instruct is licensed under Llama 3.1 Community License, while Qwen2.5-Omni-7B uses Apache 2.0.

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

Llama 3.1 405B Instruct

Llama 3.1 Community License

Open weights

Qwen2.5-Omni-7B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Llama 3.1 405B Instruct was released on 2024-07-23, while Qwen2.5-Omni-7B was released on 2025-03-27.

Qwen2.5-Omni-7B is 8 months newer than Llama 3.1 405B Instruct.

Llama 3.1 405B Instruct

Jul 23, 2024

2.1 years ago

Qwen2.5-Omni-7B

Mar 27, 2025

1.4 years ago

8mo 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 405B Instruct and Qwen2.5-Omni-7B side-by-side, then vote on the output you prefer.

Llama 3.1 405B Instruct
✓ Preferred
Qwen2.5-Omni-7B
Open in Playground

FAQ

Common questions about Llama 3.1 405B Instruct vs Qwen2.5-Omni-7B.

Which is better, Llama 3.1 405B Instruct or Qwen2.5-Omni-7B?

Llama 3.1 405B Instruct leads the LLM Stats Score 14.8 to 5.3. Llama 3.1 405B Instruct is made by Meta and Qwen2.5-Omni-7B 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 405B Instruct compare to Qwen2.5-Omni-7B in benchmarks?

Llama 3.1 405B Instruct scores ARC-C: 96.9%, GSM8k: 96.8%, API-Bank: 92.0%, Multilingual MGSM (CoT): 91.6%, HumanEval: 89.0%. Qwen2.5-Omni-7B scores FLEURS: 95.9%, DocVQA: 95.2%, VocalSound: 93.9%, GSM8k: 88.7%, GiantSteps Tempo: 88.0%.

What are the context window sizes for Llama 3.1 405B Instruct and Qwen2.5-Omni-7B?

Llama 3.1 405B Instruct supports 128K tokens and Qwen2.5-Omni-7B 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 405B Instruct and Qwen2.5-Omni-7B?

Key differences include LLM Stats Score (14.8 vs 5.3), multimodal support (no vs yes), 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 405B Instruct and Qwen2.5-Omni-7B?

Llama 3.1 405B Instruct is developed by Meta and Qwen2.5-Omni-7B is developed by Alibaba Cloud / Qwen Team.