Comprehensive side-by-side LLM comparison
o4-mini leads with 51.0% higher average benchmark score. o4-mini offers 37.9K more tokens in context window than Llama 3.1 8B Instruct. Llama 3.1 8B Instruct is $5.44 cheaper per million tokens. o4-mini supports multimodal inputs. Llama 3.1 8B Instruct is available on 9 providers. Overall, o4-mini is the stronger choice for coding tasks.
Meta
Llama 3.1 8B was developed as an efficient open-source model, designed to bring capable instruction-following to applications with limited computational resources. Built with 8 billion parameters, it provides a lightweight option for developers seeking reliable performance without the overhead of larger models.
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 8B Instruct
Meta
2024-07-23

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

Llama 3.1 8B Instruct

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

Llama 3.1 8B Instruct

o4-mini
Llama 3.1 8B Instruct
2023-12-31
o4-mini
2024-05-31
Available providers and their performance metrics

Llama 3.1 8B Instruct
Bedrock
Cerebras
DeepInfra
Fireworks
Groq

Llama 3.1 8B Instruct

o4-mini

Llama 3.1 8B Instruct

o4-mini
Hyperbolic
Lambda
Sambanova
Together

o4-mini
OpenAI