Claude Haiku 4.5 vs MAI-Thinking-1
Claude Haiku 4.5 (2025) and MAI-Thinking-1 (2026) are frontier reasoning models from Anthropic and Microsoft AI. Claude Haiku 4.5 ships a 200k-token context window, while MAI-Thinking-1 ships a 256k-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. The goal is to make the tradeoff clear before deeper testing.
MAI-Thinking-1 is safer overall; choose Claude Haiku 4.5 when coding workflow support matters.
Decision scorecard
Local evidence first| Signal | Claude Haiku 4.5 | MAI-Thinking-1 |
|---|---|---|
| Best for | multimodal apps, tool-calling agents, and provider-routed production | reasoning-heavy apps and tool-calling agents |
| Decision fit | Coding, RAG, and Agents | RAG, Agents, and Long context |
| Context window | 200k | 256k |
| Cheapest output | $4/1M tokens | - |
| Provider routes | 8 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Claude Haiku 4.5 has broader tracked provider coverage for fallback and procurement flexibility.
- Claude Haiku 4.5 uniquely exposes Vision, Multimodal, and Structured outputs in local model data.
- Local decision data tags Claude Haiku 4.5 for Coding, RAG, and Agents.
- MAI-Thinking-1 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- MAI-Thinking-1 uniquely exposes Reasoning in local model data.
- Local decision data tags MAI-Thinking-1 for RAG, Agents, and Long context.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Claude Haiku 4.5
$1,640
Cheapest tracked route/tier: AWS Bedrock
MAI-Thinking-1
Unavailable
No complete token price in local provider data
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- Provider overlap exists on Microsoft Foundry; start route-level A/B tests there.
- Check replacement coverage for Vision, Multimodal, and Structured outputs before moving production traffic.
- MAI-Thinking-1 adds Reasoning in local capability data.
- Provider overlap exists on Microsoft Foundry; start route-level A/B tests there.
- Check replacement coverage for Reasoning before moving production traffic.
- Claude Haiku 4.5 adds Vision, Multimodal, and Structured outputs in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-10-01 | 2026-06-02 |
| Context window | 200k | 256k |
| Parameters | — | 1T total / 35B active |
| Architecture | decoder only | sparse mixture of experts |
| License | Proprietary | Proprietary |
| Knowledge cutoff | 2025-02 | - |
Pricing and availability
| Pricing attribute | Claude Haiku 4.5 | MAI-Thinking-1 |
|---|---|---|
| Input price | $0.80/1M tokens | - |
| Output price | $4/1M tokens | - |
| Providers |
Capabilities
| Capability | Claude Haiku 4.5 | MAI-Thinking-1 |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | No | Yes |
| Function calling | Yes | Yes |
| Tool use | Yes | Yes |
| Structured outputs | Yes | No |
| Code execution | Yes | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
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, reasoning mode: MAI-Thinking-1, structured outputs: Claude Haiku 4.5, and code execution: Claude Haiku 4.5. Both models share function calling and tool use, 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 $0.80/1M input tokens and MAI-Thinking-1 has no token price sourced yet. Provider availability is 8 tracked routes versus 1. 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 MAI-Thinking-1 when reasoning depth 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. It also helps separate model capability from provider packaging, which can change cost and latency.
FAQ
Which has a larger context window, Claude Haiku 4.5 or MAI-Thinking-1?
MAI-Thinking-1 supports 256k 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 MAI-Thinking-1 open source?
Claude Haiku 4.5 is listed under Proprietary. MAI-Thinking-1 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 MAI-Thinking-1?
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 MAI-Thinking-1?
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 reasoning mode, Claude Haiku 4.5 or MAI-Thinking-1?
MAI-Thinking-1 has the clearer documented reasoning mode signal in this comparison. If reasoning mode 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 MAI-Thinking-1?
Claude Haiku 4.5 is available on Microsoft Foundry, Anthropic, Snowflake Cortex, AWS Bedrock, and GCP Vertex AI. MAI-Thinking-1 is available on Microsoft Foundry. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-06-02. Data sourced from public model cards and provider documentation.