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Llama 4 Behemoth vs o4 mini
Comprehensive side-by-side LLM comparison
o4 mini offers 95.9K more tokens in context window than Llama 4 Behemoth. Both models have similar pricing. 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 o4 mini, released by OpenAI in April 2025, is a compact reasoning model from the o4 family that combines multimodal understanding with efficient chain-of-thought processing. It features a 200K token context window and native image understanding, with strong performance on mathematics and coding benchmarks relative to its inference cost. o4 mini targets cost-sensitive applications requiring both visual reasoning and mathematical accuracy.
o4 mini
OpenAI
2025-04-16
Pricing Comparison
Cost per million tokens (USD)
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Llama 4 Behemoth
Input:$3.00
Output:$3.00
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o4 mini
Input:$1.10
Output:$4.40($0.50 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Llama 4 Behemoth
Average Score:-1.0%
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o4 mini
Average Score:-1.0%
Provider Availability & Performance
Available providers and their performance metrics
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Llama 4 Behemoth
1 providers
Together AI
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o4 mini
1 providers
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Llama 4 Behemoth
Avg Score:-1.0%
Providers:1
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o4 mini
Avg Score:-1.0%
Providers:1