Comprehensive side-by-side LLM comparison
Kimi K2.5 leads with 3.5% higher average benchmark score. Kimi K2.5 offers 192 more tokens in context window than Claude Haiku 4.5. Claude Haiku 4.5 is $1.50 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 K2.5, 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.
3 months newer

Claude Haiku 4.5
Anthropic
2025-10-01
Kimi K2.5
Moonshot AI
2026-01
Cost per million tokens (USD)
Claude Haiku 4.5
Kimi K2.5
Context window and performance specifications
Average performance across 1 common benchmarks
Claude Haiku 4.5
Kimi K2.5
Performance comparison across key benchmark categories
Claude Haiku 4.5
Kimi K2.5
Claude Haiku 4.5
2025-02
Available providers and their performance metrics
Claude Haiku 4.5
Anthropic
AWS Bedrock
Google Cloud Vertex AI
Kimi K2.5
Claude Haiku 4.5
Kimi K2.5
Claude Haiku 4.5
Kimi K2.5
Moonshot AI