Model Comparison

Llama 3.1 8B Instruct vs Qwen2.5 7B Instruct

Qwen2.5 7B Instruct shows notably better performance in the majority of benchmarks. Llama 3.1 8B Instruct is 10.0x cheaper per token.

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Llama 3.1 8B Instruct outperforms in 1 benchmarks (IFEval), while Qwen2.5 7B Instruct is better at 3 benchmarks (GPQA, HumanEval, MMLU-Pro).

Qwen2.5 7B Instruct shows notably better performance in the majority of benchmarks.

Tue Apr 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Llama 3.1 8B Instruct costs less

For input processing, Llama 3.1 8B Instruct ($0.03/1M tokens) is 10.0x cheaper than Qwen2.5 7B Instruct ($0.30/1M tokens).

For output processing, Llama 3.1 8B Instruct ($0.03/1M tokens) is 10.0x cheaper than Qwen2.5 7B Instruct ($0.30/1M tokens).

In conclusion, Qwen2.5 7B Instruct is more expensive than Llama 3.1 8B Instruct.*

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

Lowest available price from all providers
Tue Apr 14 2026 • llm-stats.com
Meta
Llama 3.1 8B Instruct
Input tokens$0.03
Output tokens$0.03
Best providerLambda
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct
Input tokens$0.30
Output tokens$0.30
Best providerTogether
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

390.0M diff

Llama 3.1 8B Instruct has 0.4B more parameters than Qwen2.5 7B Instruct, making it 5.1% larger.

Meta
Llama 3.1 8B Instruct
8.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct
7.6Bparameters
8.0B
Llama 3.1 8B Instruct
7.6B
Qwen2.5 7B Instruct

Context Window

Maximum input and output token capacity

Both models have the same input context window of 131,072 tokens. Llama 3.1 8B Instruct can generate longer responses up to 131,072 tokens, while Qwen2.5 7B Instruct is limited to 8,192 tokens.

Meta
Llama 3.1 8B Instruct
Input131,072 tokens
Output131,072 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct
Input131,072 tokens
Output8,192 tokens
Tue Apr 14 2026 • llm-stats.com

License

Usage and distribution terms

Llama 3.1 8B 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 8B 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 8B 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 8B Instruct.

Llama 3.1 8B 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

Llama 3.1 8B Instruct has a documented knowledge cutoff of 2023-12-31, while Qwen2.5 7B Instruct's cutoff date is not specified.

We can confirm Llama 3.1 8B Instruct's training data extends to 2023-12-31, but cannot make a direct comparison without Qwen2.5 7B Instruct's cutoff date.

Llama 3.1 8B Instruct

Dec 2023

Qwen2.5 7B Instruct

Provider Availability

Llama 3.1 8B Instruct is available from Lambda, DeepInfra, Groq, Sambanova, Cerebras, Hyperbolic, Together, Fireworks, Bedrock. Qwen2.5 7B Instruct is available from Together.

Llama 3.1 8B Instruct

lambda logo
Lambda
Input Price:Input: $0.03/1MOutput Price:Output: $0.03/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.05/1MOutput Price:Output: $0.05/1M
groq logo
Groq
Input Price:Input: $0.05/1MOutput Price:Output: $0.08/1M
sambanova logo
Sambanova
Input Price:Input: $0.10/1MOutput Price:Output: $0.20/1M
cerebras logo
Cerebras
Input Price:Input: $0.10/1MOutput Price:Output: $0.10/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $0.10/1MOutput Price:Output: $0.10/1M
together logo
Together
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
fireworks logo
Fireworks
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
bedrock logo
AWS Bedrock
Input Price:Input: $0.22/1MOutput Price:Output: $0.22/1M

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 IFEval score (80.4% vs 71.2%)
Alibaba Cloud / Qwen Team

Qwen2.5 7B Instruct

View details

Alibaba Cloud / Qwen Team

Higher GPQA score (36.4% vs 30.4%)
Higher HumanEval score (84.8% vs 72.6%)
Higher MMLU-Pro score (56.3% vs 48.3%)

Detailed Comparison

AI Model Comparison Table
Feature
Meta
Llama 3.1 8B Instruct
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct

FAQ

Common questions about Llama 3.1 8B Instruct vs Qwen2.5 7B Instruct

Qwen2.5 7B Instruct shows notably better performance in the majority of benchmarks. Llama 3.1 8B 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 8B Instruct scores GSM-8K (CoT): 84.5%, ARC-C: 83.4%, API-Bank: 82.6%, IFEval: 80.4%, BFCL: 76.1%. Qwen2.5 7B Instruct scores GSM8k: 91.6%, MT-Bench: 87.5%, HumanEval: 84.8%, MBPP: 79.2%, MATH: 75.5%.
Llama 3.1 8B Instruct is 10.0x cheaper for input tokens. Llama 3.1 8B Instruct costs $0.03/M input and $0.03/M output via lambda. Qwen2.5 7B Instruct costs $0.30/M input and $0.30/M output via together.
Llama 3.1 8B Instruct supports 131K 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 input pricing ($0.03 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 8B Instruct is developed by Meta and Qwen2.5 7B Instruct is developed by Alibaba Cloud / Qwen Team.