Comprehensive side-by-side LLM comparison
Kimi K2 Thinking offers 192 more tokens in context window than Claude Haiku 4.5. Kimi K2 Thinking is $1.00 cheaper per million tokens. Claude Haiku 4.5 supports multimodal inputs. Claude Haiku 4.5 is available on 3 providers. Both models have their strengths depending on your specific coding needs.
Anthropic
Claude Haiku 4.5, released by Anthropic in October 2025, is a fast, efficient large language model from the Claude 4.5 family optimized for high-throughput, low-latency workloads. It features a 200K token context window, 64K maximum output tokens, native image understanding, and extended thinking capabilities. Haiku 4.5 targets latency-sensitive applications such as real-time assistants, document classification, and lightweight agentic tasks where rapid response times are a primary requirement.
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.
1 month newer

Claude Haiku 4.5
Anthropic
2025-10-01
Kimi K2 Thinking
Moonshot AI
2025-11-06
Cost per million tokens (USD)
Claude Haiku 4.5
Kimi K2 Thinking
Context window and performance specifications
Claude Haiku 4.5
2025-02
Available providers and their performance metrics
Claude Haiku 4.5
Anthropic
AWS Bedrock
Google Cloud Vertex AI
Kimi K2 Thinking
Claude Haiku 4.5
Kimi K2 Thinking
Claude Haiku 4.5
Kimi K2 Thinking
Moonshot AI