MAI-Thinking-1 vs DeepSeek R1 vs GPT-5.5: Reasoning Showdown
MAI-Thinking-1 vs DeepSeek R1 vs GPT-5.5: Reasoning Showdown
Microsoft just dropped its first in-house frontier reasoning model — and it scores 97% on AIME 2025. Here’s how MAI-Thinking-1 stacks up against DeepSeek R1 and GPT-5.5 thinking mode across math, code, agents, and price.
Last verified: June 4, 2026
Quick comparison
| Spec | MAI-Thinking-1 | DeepSeek R1 | GPT-5.5 (thinking) |
|---|---|---|---|
| Announced | Jun 2, 2026 | Jan 2026 (updated May 2026) | Apr 24, 2026 |
| Architecture | MoE, ~35B active / ~1T total | MoE, 37B active / 671B total | Undisclosed |
| Weights | Closed (Azure Foundry) | Open (MIT-like) | Closed |
| AIME 2025 | 97.0% | ~92.0% | ~94.0% |
| AIME 2026 | 94.5% | ~85% | ~91% |
| SWE-Bench Pro | Matches Claude Opus 4.6 | ~52% | ~67% |
| Context window | 1M tokens | 128K tokens | 256K tokens |
| Multimodal | Text + tool use | Text only | Text + image + audio |
| Best for | Azure-hosted enterprise reasoning | Open-source, self-host | General-purpose, agents |
The headline: math reasoning has a new leader
MAI-Thinking-1’s 97.0% AIME 2025 is the highest score reported by any general-purpose model on this benchmark. AIME (American Invitational Mathematics Examination) is a notoriously hard high-school olympiad benchmark, and a 97% score implies near-saturation. AIME 2026 at 94.5% — a fresher, less-contaminated test set — is also class-leading.
For pure mathematical reasoning, MAI-Thinking-1 is the strongest model that has shipped in 2026.
Coding: closer race
| Benchmark | MAI-Thinking-1 | DeepSeek R1 | GPT-5.5 thinking | Claude Opus 4.8 |
|---|---|---|---|---|
| SWE-Bench Pro | ≈ Opus 4.6 (~66%) | ~52% | ~67% | 69.2% |
| Codeforces ELO | ~2200 (est.) | ~2050 | ~2400 | ~2350 |
| LiveCodeBench | ~78% (est.) | ~70% | ~82% | ~80% |
Microsoft’s claim that MAI-Thinking-1 matches Claude Opus 4.6 on SWE-Bench Pro is significant — that puts it in the top tier of agentic coding models. It still trails Claude Opus 4.8 and GPT-5.5 thinking by a few points, but the gap is small.
Pricing (estimates as of June 2026)
| Model | Input / Output (per 1M tokens) |
|---|---|
| MAI-Thinking-1 | ~$2.50 / $8.00 (Azure Foundry, projected) |
| DeepSeek R1 | $0.55 / $2.19 (DeepSeek API) |
| DeepSeek R1 self-hosted | Compute cost only (~$0.30/M effective) |
| GPT-5.5 thinking | $3.00 / $15.00 |
| Claude Opus 4.8 | $15.00 / $75.00 |
DeepSeek R1 remains the cost king. MAI-Thinking-1 is positioned as a managed-cloud value play roughly half the price of GPT-5.5 thinking.
Strategic context
Each model exists for different reasons:
- MAI-Thinking-1 is Microsoft’s bet to reduce OpenAI dependence. Microsoft Build 2026 announced seven MAI models including MAI-Code-1-Flash, MAI-Image-2, MAI-Voice-1, and MAI-Transcribe-1. This is Microsoft taking control of its own AI roadmap.
- DeepSeek R1 is the open-source reasoning standard — runs in Ollama, vLLM, and on Huawei Ascend hardware (per April 2026 launch).
- GPT-5.5 is the incumbent leader in the most mature agent ecosystem (Codex, Operator, Custom GPTs, ChatGPT business).
Which should you use?
| Your need | Pick |
|---|---|
| Microsoft 365 / Azure ecosystem | MAI-Thinking-1 |
| Cheapest reasoning at scale | DeepSeek R1 (self-hosted) |
| Best general-purpose agent + tools | GPT-5.5 |
| Best pure math reasoning | MAI-Thinking-1 |
| Best agentic coding (top tier) | Claude Opus 4.8 (still the leader) |
| Open weights / on-prem | DeepSeek R1 |
| Multimodal reasoning (vision/audio) | GPT-5.5 |
Bottom line
MAI-Thinking-1 is a credible new entrant — strongest pure-math reasoning, competitive coding, and integrated into the Azure stack at half the price of GPT-5.5. DeepSeek R1 remains the open-source king for cost-sensitive deployments. GPT-5.5 thinking keeps its lead on multimodal and ecosystem breadth, but the gap has narrowed dramatically in just six months.