LLM Reference

Claude Opus 4.6 vs MAI-Thinking-1

Claude Opus 4.6 (2026) and MAI-Thinking-1 (2026) are frontier-tier reasoning models from Anthropic and Microsoft AI. Claude Opus 4.6 ships a 1m-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 Opus 4.6 when coding workflow support matters.

Decision scorecard

Local evidence first
SignalClaude Opus 4.6MAI-Thinking-1
Best forreasoning-heavy apps, multimodal apps, and tool-calling agentsreasoning-heavy apps and tool-calling agents
Decision fitCoding, RAG, and AgentsRAG, Agents, and Long context
Context window1m256k
Cheapest output$25/1M tokens-
Provider routes7 tracked1 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Claude Opus 4.6 when...
  • Claude Opus 4.6 has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Claude Opus 4.6 has broader tracked provider coverage for fallback and procurement flexibility.
  • Claude Opus 4.6 uniquely exposes Vision, Multimodal, and Structured outputs in local model data.
  • Local decision data tags Claude Opus 4.6 for Coding, RAG, and Agents.
Choose MAI-Thinking-1 when...
  • 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 Opus 4.6

$10,250

Cheapest tracked route/tier: Anthropic

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

Claude Opus 4.6 -> MAI-Thinking-1
  • 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 -> Claude Opus 4.6
  • Provider overlap exists on Microsoft Foundry; start route-level A/B tests there.
  • Claude Opus 4.6 adds Vision, Multimodal, and Structured outputs in local capability data.

Specs

Specification
Released2026-02-052026-06-02
Context window1m256k
Parameters1T total / 35B active
Architecturedecoder onlysparse mixture of experts
LicenseProprietaryProprietary
Knowledge cutoff2025-12-

Pricing and availability

Pricing attributeClaude Opus 4.6MAI-Thinking-1
Input price$5/1M tokens-
Output price$25/1M tokens-
Providers

Capabilities

CapabilityClaude Opus 4.6MAI-Thinking-1
VisionYesNo
MultimodalYesNo
ReasoningYesYes
Function callingYesYes
Tool useYesYes
Structured outputsYesNo
Code executionYesNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on vision: Claude Opus 4.6, multimodal input: Claude Opus 4.6, structured outputs: Claude Opus 4.6, and code execution: Claude Opus 4.6. Both models share reasoning mode, 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 Opus 4.6 has $5/1M input tokens and MAI-Thinking-1 has no token price sourced yet. Provider availability is 7 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 Opus 4.6 when coding workflow support, larger context windows, and broader provider choice are central to the workload. Choose MAI-Thinking-1 when provider fit 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 Opus 4.6 or MAI-Thinking-1?

Claude Opus 4.6 supports 1m tokens, while MAI-Thinking-1 supports 256k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Is Claude Opus 4.6 or MAI-Thinking-1 open source?

Claude Opus 4.6 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 Opus 4.6 or MAI-Thinking-1?

Claude Opus 4.6 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 Opus 4.6 or MAI-Thinking-1?

Claude Opus 4.6 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 Opus 4.6 or MAI-Thinking-1?

Both Claude Opus 4.6 and MAI-Thinking-1 expose reasoning mode. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.

Where can I run Claude Opus 4.6 and MAI-Thinking-1?

Claude Opus 4.6 is available on OpenRouter, Anthropic, AWS Bedrock, GCP Vertex AI, and Microsoft Foundry. 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.