Comprehensive side-by-side LLM comparison
o4-mini leads with 30.9% higher average benchmark score. o4-mini offers 44.0K more tokens in context window than Llama 3.3 70B Instruct. Llama 3.3 70B Instruct is $5.10 cheaper per million tokens. o4-mini supports multimodal inputs. Llama 3.3 70B Instruct is available on 9 providers. Overall, o4-mini is the stronger choice for coding tasks.
Meta
Llama 3.3 70B was introduced with refinements to the Llama 3 architecture, designed to incorporate improvements in instruction-following and task performance. Built to continue the evolution of Meta's 70B tier, it provides enhanced quality while maintaining the deployment characteristics valued by the open-source community.
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.
4 months newer

Llama 3.3 70B Instruct
Meta
2024-12-06

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

Llama 3.3 70B Instruct

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

Llama 3.3 70B Instruct

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

Llama 3.3 70B Instruct
Bedrock
Cerebras
DeepInfra
Fireworks
Groq

Llama 3.3 70B Instruct

o4-mini

Llama 3.3 70B Instruct

o4-mini
Hyperbolic
Lambda
Sambanova
Together

o4-mini
OpenAI