Model Comparison

Llama 3.1 405B Instruct vs GPT-4o

Both models are evenly matched across the benchmarks. Llama 3.1 405B Instruct is 4.9x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Llama 3.1 405B Instruct outperforms in 2 benchmarks (IFEval, MMLU), while GPT-4o is better at 2 benchmarks (GPQA, MMLU-Pro).

Both models are evenly matched across the benchmarks.

Tue Apr 28 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Llama 3.1 405B Instruct costs less

For input processing, Llama 3.1 405B Instruct ($0.89/1M tokens) is 2.8x cheaper than GPT-4o ($2.50/1M tokens).

For output processing, Llama 3.1 405B Instruct ($0.89/1M tokens) is 11.2x cheaper than GPT-4o ($10.00/1M tokens).

In conclusion, GPT-4o is more expensive than Llama 3.1 405B Instruct.*

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

Lowest available price from all providers
Tue Apr 28 2026 • llm-stats.com
Meta
Llama 3.1 405B Instruct
Input tokens$0.89
Output tokens$0.89
Best providerLambda
OpenAI
GPT-4o
Input tokens$2.50
Output tokens$10.00
Best providerAzure
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Context Window

Maximum input and output token capacity

Both models have the same input context window of 128,000 tokens. Llama 3.1 405B Instruct can generate longer responses up to 128,000 tokens, while GPT-4o is limited to 16,384 tokens.

Meta
Llama 3.1 405B Instruct
Input128,000 tokens
Output128,000 tokens
OpenAI
GPT-4o
Input128,000 tokens
Output16,384 tokens
Tue Apr 28 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-4o supports multimodal inputs, whereas Llama 3.1 405B Instruct does not.

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

Llama 3.1 405B Instruct

Text
Images
Audio
Video

GPT-4o

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 3.1 405B Instruct is licensed under Llama 3.1 Community License, while GPT-4o uses a proprietary license.

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

GPT-4o

Proprietary

Closed source

Release Timeline

When each model was launched

Llama 3.1 405B Instruct was released on 2024-07-23, while GPT-4o was released on 2024-08-06.

GPT-4o is 0 month newer than Llama 3.1 405B Instruct.

Llama 3.1 405B Instruct

Jul 23, 2024

1.8 years ago

GPT-4o

Aug 6, 2024

1.7 years ago

2w 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. GPT-4o is available from Azure, OpenAI.

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

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
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Meta
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher IFEval score (88.6% vs 81.0%)
Higher MMLU score (87.3% vs 85.7%)
OpenAI
Supports multimodal inputs
Higher GPQA score (70.1% vs 50.7%)
Higher MMLU-Pro score (74.7% vs 73.3%)

Detailed Comparison

AI Model Comparison Table
Feature
Meta
Llama 3.1 405B Instruct
OpenAI
GPT-4o

FAQ

Common questions about Llama 3.1 405B Instruct vs GPT-4o

Both models are evenly matched across the benchmarks. Llama 3.1 405B Instruct is made by Meta and GPT-4o is made by OpenAI. 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%. GPT-4o scores AI2D: 94.2%, DocVQA: 92.8%, ChartQA: 85.7%, MMLU: 85.7%, CharXiv-D: 85.3%.
Llama 3.1 405B Instruct is 2.8x cheaper for input tokens. Llama 3.1 405B Instruct costs $0.89/M input and $0.89/M output via lambda. GPT-4o costs $2.50/M input and $10.00/M output via azure.
Llama 3.1 405B Instruct supports 128K tokens and GPT-4o supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include input pricing ($0.89 vs $2.50/M), multimodal support (no vs yes), licensing (Llama 3.1 Community License vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
Llama 3.1 405B Instruct is developed by Meta and GPT-4o is developed by OpenAI.