Comprehensive side-by-side LLM comparison
Kimi K2 leads with 16.7% higher average benchmark score. Kimi K2 offers 119.8K more tokens in context window than GPT-4o. Kimi K2 is $9.40 cheaper per million tokens. GPT-4o supports multimodal inputs. Overall, Kimi K2 is the stronger choice for coding tasks.
OpenAI
GPT-4o, released by OpenAI in May 2024, is a multimodal large language model from the GPT-4 family that natively processes text, image, and audio inputs in a single end-to-end model. It features a 128K token context window and demonstrated competitive performance across coding, reasoning, and vision benchmarks at its release. GPT-4o targets general-purpose assistant applications, vision-enabled workflows, and use cases requiring low-latency multimodal understanding.
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.
1 year newer

GPT-4o
OpenAI
2024-05-13
Kimi K2
Moonshot AI
2025-07-11
Cost per million tokens (USD)
GPT-4o
Kimi K2
Context window and performance specifications
Average performance across 1 common benchmarks
GPT-4o
Kimi K2
Performance comparison across key benchmark categories
GPT-4o
Kimi K2
GPT-4o
2024-04
Available providers and their performance metrics
GPT-4o
OpenAI
Kimi K2
GPT-4o
Kimi K2
GPT-4o
Kimi K2
Moonshot AI