Model Comparison

GPT-4o mini vs Llama 3.1 8B Instruct

GPT-4o mini significantly outperforms across most benchmarks. Llama 3.1 8B Instruct is 8.7x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

GPT-4o mini outperforms in 4 benchmarks (DROP, GPQA, HumanEval, MMLU), while Llama 3.1 8B Instruct is better at 0 benchmarks.

GPT-4o mini significantly outperforms across most benchmarks.

Tue May 12 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, GPT-4o mini ($0.15/1M tokens) is 5.0x more expensive than Llama 3.1 8B Instruct ($0.03/1M tokens).

For output processing, GPT-4o mini ($0.60/1M tokens) is 20.0x more expensive than Llama 3.1 8B Instruct ($0.03/1M tokens).

In conclusion, GPT-4o mini 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 May 12 2026 • llm-stats.com

GPT-4o mini

Input tokens$0.15

Output tokens$0.60

Best providerAzure

Llama 3.1 8B Instruct

Input tokens$0.03

Output tokens$0.03

Best providerLambda

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Context Window

Maximum input and output token capacity

Llama 3.1 8B Instruct accepts 131,072 input tokens compared to GPT-4o mini's 128,000 tokens. Llama 3.1 8B Instruct can generate longer responses up to 131,072 tokens, while GPT-4o mini is limited to 16,384 tokens.

GPT-4o mini

Input128,000 tokens

Output16,384 tokens

Llama 3.1 8B Instruct

Input131,072 tokens

Output131,072 tokens

Tue May 12 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-4o mini supports multimodal inputs, whereas Llama 3.1 8B Instruct does not.

GPT-4o mini can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-4o mini

Text

Images

Audio

Video

Llama 3.1 8B Instruct

Text

Images

Audio

Video

License

Usage and distribution terms

GPT-4o mini is licensed under a proprietary license, while Llama 3.1 8B Instruct uses Llama 3.1 Community License.

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

GPT-4o mini

Proprietary

Closed source

Llama 3.1 8B Instruct

Llama 3.1 Community License

Open weights

Release Timeline

When each model was launched

GPT-4o mini was released on 2024-07-18, while Llama 3.1 8B Instruct was released on 2024-07-23.

Llama 3.1 8B Instruct is 0 month newer than GPT-4o mini.

GPT-4o mini

Jul 18, 2024

1.8 years ago

Llama 3.1 8B Instruct

Jul 23, 2024

1.8 years ago

5d newer

Knowledge Cutoff

When training data ends

GPT-4o mini has a knowledge cutoff of 2023-10-01, while Llama 3.1 8B Instruct has a cutoff of 2023-12-31.

Llama 3.1 8B Instruct has more recent training data (up to 2023-12-31), making it potentially better informed about events through that date compared to GPT-4o mini (2023-10-01).

GPT-4o mini

Oct 2023

Llama 3.1 8B Instruct

Dec 2023

2 mo newer

Provider Availability

GPT-4o mini is available from Azure. Llama 3.1 8B Instruct is available from Lambda, DeepInfra, Groq, Sambanova, Cerebras, Hyperbolic, Together, Fireworks, Bedrock.

GPT-4o mini

Azure

Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M

Llama 3.1 8B Instruct

Lambda

Input Price:Input: $0.03/1MOutput Price:Output: $0.03/1M

Deepinfra

Input Price:Input: $0.05/1MOutput Price:Output: $0.05/1M

Groq

Input Price:Input: $0.05/1MOutput Price:Output: $0.08/1M

Sambanova

Input Price:Input: $0.10/1MOutput Price:Output: $0.20/1M

Cerebras

Input Price:Input: $0.10/1MOutput Price:Output: $0.10/1M

Hyperbolic

Input Price:Input: $0.10/1MOutput Price:Output: $0.10/1M

Together

Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M

Fireworks

Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M

AWS Bedrock

Input Price:Input: $0.22/1MOutput Price:Output: $0.22/1M

* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

GPT-4o mini

View details

OpenAI

Supports multimodal inputs

Higher DROP score (79.7% vs 59.5%)

Higher GPQA score (40.2% vs 30.4%)

Higher HumanEval score (87.2% vs 72.6%)

Higher MMLU score (82.0% vs 69.4%)

Llama 3.1 8B Instruct

View details

Detailed Comparison

AI Model Comparison Table
Feature	GPT-4o mini	Llama 3.1 8B Instruct

FAQ

Common questions about GPT-4o mini vs Llama 3.1 8B Instruct.

Which is better, GPT-4o mini or Llama 3.1 8B Instruct?

GPT-4o mini significantly outperforms across most benchmarks. GPT-4o mini is made by OpenAI and Llama 3.1 8B Instruct is made by Meta. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GPT-4o mini compare to Llama 3.1 8B Instruct in benchmarks?

GPT-4o mini scores HumanEval: 87.2%, MGSM: 87.0%, MMLU: 82.0%, DROP: 79.7%, MATH: 70.2%. 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%.

Is GPT-4o mini cheaper than Llama 3.1 8B Instruct?

Llama 3.1 8B Instruct is 5.0x cheaper for input tokens. GPT-4o mini costs $0.15/M input and $0.60/M output via azure. Llama 3.1 8B Instruct costs $0.03/M input and $0.03/M output via lambda.

What are the context window sizes for GPT-4o mini and Llama 3.1 8B Instruct?

GPT-4o mini supports 128K tokens and Llama 3.1 8B Instruct supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT-4o mini and Llama 3.1 8B Instruct?

Key differences include context window (128K vs 131K), input pricing ($0.15 vs $0.03/M), multimodal support (yes vs no), licensing (Proprietary vs Llama 3.1 Community License). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-4o mini and Llama 3.1 8B Instruct?

GPT-4o mini is developed by OpenAI and Llama 3.1 8B Instruct is developed by Meta.