Model Comparison

Llama 3.1 70B Instruct vs Qwen2.5 7B Instruct

Llama 3.1 70B Instruct shows notably better performance in the majority of benchmarks. Llama 3.1 70B Instruct is 1.5x cheaper per token.

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Llama 3.1 70B Instruct outperforms in 3 benchmarks (GPQA, IFEval, MMLU-Pro), while Qwen2.5 7B Instruct is better at 1 benchmark (HumanEval).

Llama 3.1 70B Instruct shows notably better performance in the majority of benchmarks.

Thu Apr 16 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Llama 3.1 70B Instruct costs less

For input processing, Llama 3.1 70B Instruct ($0.20/1M tokens) is 1.5x cheaper than Qwen2.5 7B Instruct ($0.30/1M tokens).

For output processing, Llama 3.1 70B Instruct ($0.20/1M tokens) is 1.5x cheaper than Qwen2.5 7B Instruct ($0.30/1M tokens).

In conclusion, Qwen2.5 7B Instruct is more expensive than Llama 3.1 70B Instruct.*

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

Lowest available price from all providers
Thu Apr 16 2026 • llm-stats.com
Meta
Llama 3.1 70B Instruct
Input tokens$0.20
Output tokens$0.20
Best providerLambda
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct
Input tokens$0.30
Output tokens$0.30
Best providerTogether
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Model Size

Parameter count comparison

62.4B diff

Llama 3.1 70B Instruct has 62.4B more parameters than Qwen2.5 7B Instruct, making it 819.8% larger.

Meta
Llama 3.1 70B Instruct
70.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct
7.6Bparameters
70.0B
Llama 3.1 70B Instruct
7.6B
Qwen2.5 7B Instruct

Context Window

Maximum input and output token capacity

Qwen2.5 7B Instruct accepts 131,072 input tokens compared to Llama 3.1 70B Instruct's 128,000 tokens. Llama 3.1 70B Instruct can generate longer responses up to 128,000 tokens, while Qwen2.5 7B Instruct is limited to 8,192 tokens.

Meta
Llama 3.1 70B Instruct
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct
Input131,072 tokens
Output8,192 tokens
Thu Apr 16 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 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 70B Instruct

Llama 3.1 Community License

Open weights

Qwen2.5 7B 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 7B Instruct was released on 2024-09-19.

Qwen2.5 7B Instruct is 2 months newer than Llama 3.1 70B Instruct.

Llama 3.1 70B Instruct

Jul 23, 2024

1.7 years ago

Qwen2.5 7B 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 70B Instruct is available from Lambda, DeepInfra, Hyperbolic, Groq, Cerebras, Together, Fireworks, Bedrock, Sambanova. Qwen2.5 7B Instruct is available from Together.

Llama 3.1 70B Instruct

lambda logo
Lambda
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
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
groq logo
Groq
Input Price:Input: $0.59/1MOutput Price:Output: $0.78/1M
cerebras logo
Cerebras
Input Price:Input: $0.60/1MOutput Price:Output: $0.60/1M
together logo
Together
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
bedrock logo
AWS Bedrock
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
sambanova logo
Sambanova
Input Price:Input: $5.00/1MOutput Price:Output: $10.00/1M

Qwen2.5 7B Instruct

together logo
Together
Input Price:Input: $0.30/1MOutput Price:Output: $0.30/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Less expensive input tokens
Less expensive output tokens
Higher GPQA score (41.7% vs 36.4%)
Higher IFEval score (87.5% vs 71.2%)
Higher MMLU-Pro score (66.4% vs 56.3%)
Alibaba Cloud / Qwen Team

Qwen2.5 7B Instruct

View details

Alibaba Cloud / Qwen Team

Larger context window (131,072 tokens)
Higher HumanEval score (84.8% vs 80.5%)

Detailed Comparison

AI Model Comparison Table
Feature
Meta
Llama 3.1 70B Instruct
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct

FAQ

Common questions about Llama 3.1 70B Instruct vs Qwen2.5 7B Instruct

Llama 3.1 70B Instruct shows notably better performance in the majority of benchmarks. Llama 3.1 70B Instruct is made by Meta and Qwen2.5 7B 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 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 7B Instruct scores GSM8k: 91.6%, MT-Bench: 87.5%, HumanEval: 84.8%, MBPP: 79.2%, MATH: 75.5%.
Llama 3.1 70B Instruct is 1.5x cheaper for input tokens. Llama 3.1 70B Instruct costs $0.20/M input and $0.20/M output via lambda. Qwen2.5 7B Instruct costs $0.30/M input and $0.30/M output via together.
Llama 3.1 70B Instruct supports 128K tokens and Qwen2.5 7B 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 ($0.20 vs $0.30/M), licensing (Llama 3.1 Community License vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Llama 3.1 70B Instruct is developed by Meta and Qwen2.5 7B Instruct is developed by Alibaba Cloud / Qwen Team.