Claude Haiku 4.5 vs Kimi K2 Thinking Turbo
Claude Haiku 4.5 (2025) and Kimi K2 Thinking Turbo (2025) are general-purpose language models from Anthropic and Moonshot AI. Claude Haiku 4.5 ships a 200k-token context window, while Kimi K2 Thinking Turbo ships a 262K-token context window. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing.
Kimi K2 Thinking Turbo is safer overall; choose Claude Haiku 4.5 when coding workflow support matters.
Specs
| Released | 2025-10-01 | 2025-11-06 |
| Context window | 200k | 262K |
| Parameters | — | — |
| Architecture | decoder only | - |
| License | Proprietary | Proprietary |
| Knowledge cutoff | 2025-02 | - |
Pricing and availability
| Claude Haiku 4.5 | Kimi K2 Thinking Turbo | |
|---|---|---|
| Input price | $0.8/1M tokens | - |
| Output price | $4/1M tokens | - |
| Providers | - |
Capabilities
| Claude Haiku 4.5 | Kimi K2 Thinking Turbo | |
|---|---|---|
| Vision | ||
| Multimodal | ||
| Reasoning | ||
| Function calling | ||
| Tool use | ||
| Structured outputs | ||
| Code execution |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on vision: Claude Haiku 4.5, multimodal input: Claude Haiku 4.5, function calling: Claude Haiku 4.5, tool use: Claude Haiku 4.5, structured outputs: Claude Haiku 4.5, and code execution: Claude Haiku 4.5. Both models share the core language-model surface, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.
Pricing coverage is uneven: Claude Haiku 4.5 has $0.8/1M input tokens and Kimi K2 Thinking Turbo has no token price sourced yet. Provider availability is 8 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose Claude Haiku 4.5 when coding workflow support and broader provider choice are central to the workload. Choose Kimi K2 Thinking Turbo when long-context analysis and larger context windows are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions.
FAQ
Which has a larger context window, Claude Haiku 4.5 or Kimi K2 Thinking Turbo?
Kimi K2 Thinking Turbo supports 262K tokens, while Claude Haiku 4.5 supports 200k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is Claude Haiku 4.5 or Kimi K2 Thinking Turbo open source?
Claude Haiku 4.5 is listed under Proprietary. Kimi K2 Thinking Turbo is listed under Proprietary. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Which is better for vision, Claude Haiku 4.5 or Kimi K2 Thinking Turbo?
Claude Haiku 4.5 has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for multimodal input, Claude Haiku 4.5 or Kimi K2 Thinking Turbo?
Claude Haiku 4.5 has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for function calling, Claude Haiku 4.5 or Kimi K2 Thinking Turbo?
Claude Haiku 4.5 has the clearer documented function calling signal in this comparison. If function calling is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run Claude Haiku 4.5 and Kimi K2 Thinking Turbo?
Claude Haiku 4.5 is available on Microsoft Foundry, Anthropic, Snowflake Cortex, AWS Bedrock, and GCP Vertex AI. Kimi K2 Thinking Turbo is available on the tracked providers still being sourced. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-04-27. Data sourced from public model cards and provider documentation.