Model Comparison

Llama 3.1 405B Instruct vs Qwen2.5 72B Instruct

Llama 3.1 405B Instruct significantly outperforms across most benchmarks. Qwen2.5 72B Instruct is 2.5x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

Llama 3.1 405B Instruct outperforms in 5 benchmarks (GPQA, GSM8k, HumanEval, IFEval, MMLU-Pro), while Qwen2.5 72B Instruct is better at 1 benchmark (MATH).

Llama 3.1 405B Instruct significantly outperforms across most benchmarks.

Wed Apr 22 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen2.5 72B Instruct costs less

For input processing, Llama 3.1 405B Instruct ($0.89/1M tokens) is 2.5x more expensive than Qwen2.5 72B Instruct ($0.35/1M tokens).

For output processing, Llama 3.1 405B Instruct ($0.89/1M tokens) is 2.2x more expensive than Qwen2.5 72B Instruct ($0.40/1M tokens).

In conclusion, Llama 3.1 405B Instruct is more expensive than Qwen2.5 72B Instruct.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Wed Apr 22 2026 • llm-stats.com
Meta
Llama 3.1 405B Instruct
Input tokens$0.89
Output tokens$0.89
Best providerLambda
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
Input tokens$0.35
Output tokens$0.40
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

332.3B diff

Llama 3.1 405B Instruct has 332.3B more parameters than Qwen2.5 72B Instruct, making it 457.1% larger.

Meta
Llama 3.1 405B Instruct
405.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
72.7Bparameters
405.0B
Llama 3.1 405B Instruct
72.7B
Qwen2.5 72B Instruct

Context Window

Maximum input and output token capacity

Qwen2.5 72B 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 72B Instruct is limited to 8,192 tokens.

Meta
Llama 3.1 405B Instruct
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
Input131,072 tokens
Output8,192 tokens
Wed Apr 22 2026 • llm-stats.com

License

Usage and distribution terms

Llama 3.1 405B Instruct is licensed under Llama 3.1 Community License, while Qwen2.5 72B Instruct uses Qwen.

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 72B Instruct

Qwen

Open weights

Release Timeline

When each model was launched

Llama 3.1 405B Instruct was released on 2024-07-23, while Qwen2.5 72B Instruct was released on 2024-09-19.

Qwen2.5 72B Instruct is 2 months newer than Llama 3.1 405B Instruct.

Llama 3.1 405B Instruct

Jul 23, 2024

1.7 years ago

Qwen2.5 72B Instruct

Sep 19, 2024

1.6 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

Provider Availability

Llama 3.1 405B Instruct is available from Lambda, DeepInfra, Fireworks, Bedrock, Together, Hyperbolic, Google, Replicate. Qwen2.5 72B Instruct is available from DeepInfra, Hyperbolic, Fireworks, Together.

Llama 3.1 405B Instruct

lambda logo
Lambda
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
deepinfra logo
Deepinfra
Input Price:Input: $1.79/1MOutput Price:Output: $1.79/1M
fireworks logo
Fireworks
Input Price:Input: $3.00/1MOutput Price:Output: $3.00/1M
bedrock logo
AWS Bedrock
Input Price:Input: $3.00/1MOutput Price:Output: $3.00/1M
together logo
Together
Input Price:Input: $3.50/1MOutput Price:Output: $3.50/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $4.00/1MOutput Price:Output: $4.00/1M
google logo
Google
Input Price:Input: $5.00/1MOutput Price:Output: $16.00/1M
replicate logo
Replicate
Input Price:Input: $9.50/1MOutput Price:Output: $9.50/1M

Qwen2.5 72B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.35/1MOutput Price:Output: $0.40/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $0.40/1MOutput Price:Output: $0.40/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
together logo
Together
Input Price:Input: $1.20/1MOutput Price:Output: $1.20/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Meta
Higher GPQA score (50.7% vs 49.0%)
Higher GSM8k score (96.8% vs 95.8%)
Higher HumanEval score (89.0% vs 86.6%)
Higher IFEval score (88.6% vs 84.1%)
Higher MMLU-Pro score (73.3% vs 71.1%)
Alibaba Cloud / Qwen Team

Qwen2.5 72B Instruct

View details

Alibaba Cloud / Qwen Team

Larger context window (131,072 tokens)
Less expensive input tokens
Less expensive output tokens
Higher MATH score (83.1% vs 73.8%)

Detailed Comparison

AI Model Comparison Table
Feature
Meta
Llama 3.1 405B Instruct
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct

FAQ

Common questions about Llama 3.1 405B Instruct vs Qwen2.5 72B Instruct

Llama 3.1 405B Instruct significantly outperforms across most benchmarks. Llama 3.1 405B Instruct is made by Meta and Qwen2.5 72B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
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 72B Instruct scores GSM8k: 95.8%, MT-Bench: 93.5%, MBPP: 88.2%, MMLU-Redux: 86.8%, HumanEval: 86.6%.
Qwen2.5 72B Instruct is 2.5x cheaper for input tokens. Llama 3.1 405B Instruct costs $0.89/M input and $0.89/M output via lambda. Qwen2.5 72B Instruct costs $0.35/M input and $0.40/M output via deepinfra.
Llama 3.1 405B Instruct supports 128K tokens and Qwen2.5 72B Instruct supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (128K vs 131K), input pricing ($0.89 vs $0.35/M), licensing (Llama 3.1 Community License vs Qwen). See the full comparison above for benchmark-by-benchmark results.
Llama 3.1 405B Instruct is developed by Meta and Qwen2.5 72B Instruct is developed by Alibaba Cloud / Qwen Team.