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Kimi K2 Thinking vs Llama 4 Behemoth
Comprehensive side-by-side LLM comparison
Kimi K2 Thinking offers 60.1K more tokens in context window than Llama 4 Behemoth. Kimi K2 Thinking is $1.00 cheaper per million tokens. Llama 4 Behemoth supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Moonshot AI
Kimi K2 Thinking, released by Moonshot AI on November 6, 2025, is a reasoning-focused variant of Kimi K2 with 1 trillion total parameters and 32 billion active parameters, featuring extended chain-of-thought processing for complex problem solving. It builds on K2's agentic coding strengths with additional capabilities for mathematical and scientific reasoning. Kimi K2 Thinking targets open-source deployments requiring deep, deliberate reasoning across coding and analytical domains.
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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.
Kimi K2 Thinking
Moonshot AI
2025-11-06
Pricing Comparison
Cost per million tokens (USD)
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Kimi K2 Thinking
Input:$1.00
Output:$4.00($1.00 cheaper)
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Llama 4 Behemoth
Input:$3.00
Output:$3.00
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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Kimi K2 Thinking
1 providers
Moonshot AI
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Llama 4 Behemoth
1 providers
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Kimi K2 Thinking
Avg Score:0.0%
Providers:1
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Llama 4 Behemoth
Avg Score:0.0%
Providers:1