Model Comparison

GPT-4o vs Llama 3.1 8B Instruct

GPT-4o significantly outperforms across most benchmarks. Llama 3.1 8B Instruct is 145.8x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

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

GPT-4o significantly outperforms across most benchmarks.

Thu Apr 02 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 ($2.50/1M tokens) is 83.3x more expensive than Llama 3.1 8B Instruct ($0.03/1M tokens).

For output processing, GPT-4o ($10.00/1M tokens) is 333.3x more expensive than Llama 3.1 8B Instruct ($0.03/1M tokens).

In conclusion, GPT-4o 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
Thu Apr 02 2026 • llm-stats.com
OpenAI
GPT-4o
Input tokens$2.50
Output tokens$10.00
Best providerAzure
Meta
Llama 3.1 8B Instruct
Input tokens$0.03
Output tokens$0.03
Best providerLambda
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

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

OpenAI
GPT-4o
Input128,000 tokens
Output16,384 tokens
Meta
Llama 3.1 8B Instruct
Input131,072 tokens
Output131,072 tokens
Thu Apr 02 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

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

GPT-4o

Text
Images
Audio
Video

Llama 3.1 8B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4o 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

Proprietary

Closed source

Llama 3.1 8B Instruct

Llama 3.1 Community License

Open weights

Release Timeline

When each model was launched

GPT-4o was released on 2024-08-06, while Llama 3.1 8B Instruct was released on 2024-07-23.

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

GPT-4o

Aug 6, 2024

1.7 years ago

2w newer
Llama 3.1 8B Instruct

Jul 23, 2024

1.7 years ago

Knowledge Cutoff

When training data ends

Llama 3.1 8B Instruct has a documented knowledge cutoff of 2023-12-31, while GPT-4o'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 GPT-4o's cutoff date.

GPT-4o

—

Llama 3.1 8B Instruct

Dec 2023

Provider Availability

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

GPT-4o

azure logo
Azure
Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M
openai logo
OpenAI
Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M

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
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

OpenAI
Supports multimodal inputs
Higher GPQA score (70.1% vs 30.4%)
Higher IFEval score (81.0% vs 80.4%)
Higher MMLU score (85.7% vs 69.4%)
Higher MMLU-Pro score (74.7% vs 48.3%)
Meta
Larger context window (131,072 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

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

FAQ

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

GPT-4o significantly outperforms across most benchmarks. GPT-4o 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.
GPT-4o scores AI2D: 94.2%, DocVQA: 92.8%, ChartQA: 85.7%, MMLU: 85.7%, CharXiv-D: 85.3%. 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%.
Llama 3.1 8B Instruct is 83.3x cheaper for input tokens. GPT-4o costs $2.50/M input and $10.00/M output via azure. Llama 3.1 8B Instruct costs $0.03/M input and $0.03/M output via lambda.
GPT-4o 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.
Key differences include context window (128K vs 131K), input pricing ($2.50 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.
GPT-4o is developed by OpenAI and Llama 3.1 8B Instruct is developed by Meta.