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Kimi K2.5 vs Llama 4 Behemoth
Comprehensive side-by-side LLM comparison
Kimi K2.5 offers 60.1K more tokens in context window than Llama 4 Behemoth. Llama 4 Behemoth is $1.50 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 K2.5, released by Moonshot AI in January 2026, is an updated Mixture-of-Experts large language model with 1 trillion total parameters and 32 billion active parameters. It builds on Kimi K2 with improved coding performance across multiple languages and an expanded context window. Kimi K2.5 targets agentic development workflows, polyglot code generation, and open-source deployments requiring large-scale MoE reasoning.
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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 K2.5
Moonshot AI
2026-01
Pricing Comparison
Cost per million tokens (USD)
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Kimi K2.5
Input:$1.50
Output:$6.00
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Llama 4 Behemoth
Input:$3.00
Output:$3.00($1.50 cheaper)
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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Kimi K2.5
1 providers
Moonshot AI
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Llama 4 Behemoth
1 providers
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Kimi K2.5
Avg Score:0.0%
Providers:1
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Llama 4 Behemoth
Avg Score:0.0%
Providers:1