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Llama 4 Behemoth vs o1 mini
Comprehensive side-by-side LLM comparison
Llama 4 Behemoth offers 10.6K more tokens in context window than o1 mini. Both models have similar pricing. Llama 4 Behemoth supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Meta AI
Llama 4 Behemoth is a research-scale Mixture-of-Experts language model with approximately 2 trillion total parameters (288 billion active per inference), developed by Meta as a teacher model for the Llama 4 family. Available only in limited preview, it serves as the knowledge distillation source for Llama 4 Scout and Maverick. Behemoth targets research applications requiring the largest-scale open-weight model architecture from the Llama 4 generation.
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OpenAI
OpenAI o1 mini, released by OpenAI in September 2024, is a lightweight reasoning model from the o1 family optimized for efficient STEM problem-solving at lower cost and latency. It features a 128K token context window and applies chain-of-thought reasoning specifically tuned for mathematics, science, and coding tasks. o1 mini targets use cases where rapid, cost-efficient reasoning is preferred over the broader capabilities of the full o1 model.
o1 mini
OpenAI
2024-09-12
Pricing Comparison
Cost per million tokens (USD)
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Llama 4 Behemoth
Input:$3.00
Output:$3.00
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o1 mini
Input:$1.10
Output:$4.40($0.50 cheaper)
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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Llama 4 Behemoth
1 providers
Together AI
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o1 mini
1 providers
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Llama 4 Behemoth
Avg Score:0.0%
Providers:1
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o1 mini
Avg Score:0.0%
Providers:1