Comprehensive side-by-side LLM comparison
Kimi K2 leads with 9.6% higher average benchmark score. GPT-4.1 offers 768.6K more tokens in context window than Kimi K2. Kimi K2 is $6.90 cheaper per million tokens. GPT-4.1 supports multimodal inputs. Overall, Kimi K2 is the stronger choice for coding tasks.
OpenAI
GPT-4.1, released by OpenAI in April 2025, is a large language model from the GPT-4 family optimized for coding, precise instruction following, and long-context tasks. It features a 1M token context window and native image understanding, with improved performance on tool-calling and web development benchmarks compared to GPT-4o. GPT-4.1 targets software development workflows, long-document analysis, and applications requiring accurate, instruction-adherent outputs.
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.
2 months newer

GPT-4.1
OpenAI
2025-04-14
Kimi K2
Moonshot AI
2025-07-11
Cost per million tokens (USD)
GPT-4.1
Kimi K2
Context window and performance specifications
Average performance across 1 common benchmarks
GPT-4.1
Kimi K2
Performance comparison across key benchmark categories
GPT-4.1
Kimi K2
Available providers and their performance metrics
GPT-4.1
OpenAI
Kimi K2
GPT-4.1
Kimi K2
GPT-4.1
Kimi K2
Moonshot AI