Comprehensive side-by-side LLM comparison
o4-mini leads with 30.7% higher average benchmark score. o4-mini offers 44.0K more tokens in context window than Llama 3.1 405B Instruct. Llama 3.1 405B Instruct is $3.72 cheaper per million tokens. o4-mini supports multimodal inputs. Llama 3.1 405B Instruct is available on 8 providers. Overall, o4-mini is the stronger choice for coding tasks.
Meta
Llama 3.1 405B was developed as Meta's largest open-source language model, designed to provide frontier-level capabilities with 405 billion parameters. Built to demonstrate that open-source models can match proprietary systems in capability, it enables researchers and developers to experiment with and deploy a powerful foundation model without licensing restrictions.
OpenAI
o4-mini was created as part of the next generation of OpenAI's reasoning models, designed to continue advancing the balance between analytical capability and operational efficiency. Built to bring cutting-edge reasoning techniques to applications requiring quick turnaround, it represents the evolution of compact reasoning-focused models.
8 months newer

Llama 3.1 405B Instruct
Meta
2024-07-23

o4-mini
OpenAI
2025-04-16
Cost per million tokens (USD)

Llama 3.1 405B Instruct

o4-mini
Context window and performance specifications
Average performance across 1 common benchmarks

Llama 3.1 405B Instruct

o4-mini
o4-mini
2024-05-31
Available providers and their performance metrics

Llama 3.1 405B Instruct
Bedrock
DeepInfra
Fireworks
Hyperbolic

Llama 3.1 405B Instruct

o4-mini

Llama 3.1 405B Instruct

o4-mini
Lambda
Replicate
Together

o4-mini
OpenAI