Llama 3.1 405B Instruct vs Qwen2.5 7B Instruct
Llama 3.1 405B Instruct leads the LLM Stats Score 14.7 to 2.5. Qwen2.5 7B Instruct is 3.0x cheaper per token.
Meta · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Llama 3.1 405B Instruct leads the overall LLM Stats Score 14.7 to 2.5, ranking #232 overall.
In the 6 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.
On price, Qwen2.5 7B Instruct is roughly 3.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Qwen2.5 7B Instruct also accepts a larger context window (131,072 input tokens), making it the stronger choice for long documents and large codebases.
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 14.7 and ranks #232 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 5 of 6 exact shared results
Choose Qwen2.5 7B Instruct
- cost matters — it's about 3.0x cheaper per token
- you process long inputs — it offers a 131,072 token context window
- you want the most recent training data — it shipped Sep 2024
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
18 reported for Llama 3.1 405B Instruct · 14 for Qwen2.5 7B Instruct
Llama 3.1 405B Instruct outperforms in 5 benchmarks (GPQA, GSM8k, HumanEval, IFEval, MMLU-Pro), while Qwen2.5 7B Instruct is better at 1 benchmark (MATH).
Llama 3.1 405B Instruct significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Llama 3.1 405B Instruct ($0.89/1M tokens) is 3.0x more expensive than Qwen2.5 7B Instruct ($0.30/1M tokens).
For output processing, Llama 3.1 405B Instruct ($0.89/1M tokens) is 3.0x more expensive than Qwen2.5 7B Instruct ($0.30/1M tokens).
In conclusion, Llama 3.1 405B Instruct is more expensive than Qwen2.5 7B Instruct.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Llama 3.1 405B Instruct has 397.4B more parameters than Qwen2.5 7B Instruct, making it 5221.9% larger.
Context Window
Maximum input and output token capacity
Qwen2.5 7B Instruct accepts 131,072 input tokens compared to Llama 3.1 405B Instruct's 128,000 tokens. Llama 3.1 405B Instruct can generate longer responses up to 128,000 tokens, while Qwen2.5 7B Instruct is limited to 8,192 tokens.
License
Usage and distribution terms
Llama 3.1 405B Instruct is licensed under Llama 3.1 Community License, while Qwen2.5 7B Instruct uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Llama 3.1 Community License
Open weights
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 7B Instruct was released on 2024-09-19.
Qwen2.5 7B Instruct is 2 months newer than Llama 3.1 405B Instruct.
Jul 23, 2024
2.1 years ago
Sep 19, 2024
2.0 years ago
1mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Llama 3.1 405B Instruct is available from Lambda, DeepInfra, Fireworks, Bedrock, Together, Hyperbolic, Google, Replicate. Qwen2.5 7B Instruct is available from Together.
Llama 3.1 405B Instruct
Qwen2.5 7B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against Llama 3.1 405B Instruct and Qwen2.5 7B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Llama 3.1 405B Instruct vs Qwen2.5 7B Instruct.