Comprehensive side-by-side LLM comparison
Kimi K2 leads with 23.1% higher average benchmark score. Llama 4 Maverick offers 739.9K more tokens in context window than Kimi K2. Llama 4 Maverick is $2.74 cheaper per million tokens. Llama 4 Maverick supports multimodal inputs. Overall, Kimi K2 is the stronger choice for coding tasks.
Moonshot AI
Kimi K2, released by Moonshot AI on July 11, 2025, is an open-weight Mixture-of-Experts large language model with 1 trillion total parameters and 32 billion active parameters per inference. It features a 256K token context window (expanded from 128K in an September 2025 update) and demonstrated strong performance on agentic coding benchmarks. Kimi K2 targets software engineering agents, tool-use workflows, and open-source deployments under a modified MIT license.
Meta AI
Llama 4 Maverick, released by Meta on April 5, 2025, is a natively multimodal Mixture-of-Experts large language model with 400 billion total parameters and 17 billion active parameters per inference. It features a 1M token context window and supports text and image input, enabling strong performance on both language and vision tasks. Maverick targets open-source deployments requiring large-scale multimodal reasoning, released under Meta's custom license.
3 months newer

Llama 4 Maverick
Meta AI
2025-04-05
Kimi K2
Moonshot AI
2025-07-11
Cost per million tokens (USD)
Kimi K2
Llama 4 Maverick
Context window and performance specifications
Average performance across 1 common benchmarks
Kimi K2
Llama 4 Maverick
Performance comparison across key benchmark categories
Kimi K2
Llama 4 Maverick
Available providers and their performance metrics
Kimi K2
Moonshot AI
Llama 4 Maverick
Kimi K2
Llama 4 Maverick
Kimi K2
Llama 4 Maverick
Together AI