Model profile
MAI-Thinking-1
Evidence coverage
13 of 323 tracked benchmarks are published. 13 are verified and 0 provisional. 6 of 8 categories are measured.
- Published / tracked
- 13 / 323
- Verified
- 13
- Provisional
- 0
- Categories with evidence
- 6 / 8
Evidence by category
- Agentic1 benchmarkVerified
- Coding3 benchmarksVerified
- Reasoning1 benchmarkVerified
- Knowledge4 benchmarksVerified
- Math3 benchmarksVerified
- Multilingual0 benchmarksNot measured
- Multimodal0 benchmarksNot measured
- Inst. Following1 benchmarkVerified
BenchLM is tracking MAI-Thinking-1, but this profile is currently excluded from the public leaderboard because it still lacks enough non-generated benchmark coverage to rank safely. Only non-generated public benchmark rows appear below.
MAI-Thinking-1 is a proprietary model with a 256K token context window. It uses explicit chain-of-thought reasoning, which typically improves performance on math and complex reasoning tasks at the cost of higher latency and token usage.
This profile currently has 13 of 323 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.
Its strongest category is Instruction Following (#1), while its weakest is Coding (#52). This performance profile makes it a well-rounded choice across a range of tasks.
Peer position
Exact provisional scores and ranks for the closest listed peers. A score can appear before a model clears the evidence threshold for a rank, so equal scores can have different rank states.
Range 77.44–83.93
- Claude Mythos 5AnthropicCompare#183.93Claude Mythos 5 is #1 with a score of 83.93.
- Claude Fable 5AnthropicCompare#283.68Claude Fable 5 is #2 with a score of 83.68.
- GPT-5.6 SolOpenAICompare#381.96GPT-5.6 Sol is #3 with a score of 81.96.
- Kimi K3Moonshot AICompare#480.96Kimi K3 is #4 with a score of 80.96.
- Claude Opus 4.8AnthropicCompare#578.34Claude Opus 4.8 is #5 with a score of 78.34.
- Muse Spark 1.1MetaCompare#677.44Muse Spark 1.1 is #6 with a score of 77.44.
- MAI-Thinking-1Current modelMicrosoftUnrankedNot measuredMAI-Thinking-1 is Unranked with a score of Not measured.
Category percentile
More
Relative position among models eligible for each sourced category. A higher percentile means a stronger position within that category's ranked cohort; 100 is highest.
- Inst. Following100%Eligible cohort rank #1 of 31Category score 97.8
- Knowledge45%Eligible cohort rank #29 of 52Category score 69.7
- Agentic63%Eligible cohort rank #45 of 119Category score 50.6
- Coding58%Eligible cohort rank #52 of 122Category score 51.9
Category evidence
Scores and ranks appear only where this model has published benchmark evidence. Categories without displayable source records remain not measured.
| Category | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticRank #45 of 119Percentile 63rdWeight 22%1 benchmarkVerified | 50.6 | #45 of 119 | 63rd | 22% | 1 benchmark | Verified |
| CodingRank #52 of 122Percentile 58thWeight 20%3 benchmarksVerified | 51.9 | #52 of 122 | 58th | 20% | 3 benchmarks | Verified |
| ReasoningWeight 17%1 benchmarkVerified | Score pending | Not ranked | Not available | 17% | 1 benchmark | Verified |
| KnowledgeRank #29 of 52Percentile 45thWeight 12%4 benchmarksVerified | 69.7 | #29 of 52 | 45th | 12% | 4 benchmarks | Verified |
| MathRank Not rankedWeight 5%3 benchmarksVerified | 73.7 | Not ranked | Not available | 5% | 3 benchmarks | Verified |
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | Not ranked | Not available | 7% | 0 benchmarks | Not measured |
| MultimodalWeight 12%0 benchmarksNot measured | Not measured | Not ranked | Not available | 12% | 0 benchmarks | Not measured |
| Inst. FollowingRank #1 of 31Percentile 100thWeight 5%1 benchmarkVerified | 97.8 | #1 of 31 | 100th | 5% | 1 benchmark | Verified |
Benchmark Details
Rows below have a displayable published verification record. Each source link and provenance note remains in the page HTML while its category is closed. Source-unverified manual rows and generated rows stay hidden.
Agentic1 benchmark
Coding3 benchmarks
Software Engineering Benchmark Verified
Reasoning1 benchmark
Graphwalks BFS 0K-128K
Knowledge4 benchmarks
Massive Multitask Language Understanding Professional
Measuring Short-Form Factuality in Large Language Models
Graduate-Level Google-Proof Q&A
GPQA Diamond
Math3 benchmarks
AIME 2026
Harvard-MIT Mathematics Tournament February 2026
American Invitational Mathematics Examination 2025
Inst. Following1 benchmark
Instruction Following Benchmark
Frequently Asked Questions
How does MAI-Thinking-1 perform overall in AI benchmarks?
MAI-Thinking-1 has 13 published benchmark scores on BenchLM, but it does not yet have enough non-generated coverage to receive a global overall rank.
Is MAI-Thinking-1 good for knowledge and understanding?
MAI-Thinking-1 ranks #29 out of 52 models in knowledge and understanding benchmarks with an average score of 69.7. There are stronger options in this category.
Is MAI-Thinking-1 good for coding and programming?
MAI-Thinking-1 ranks #52 out of 122 models in coding and programming benchmarks with an average score of 51.9. There are stronger options in this category.
Is MAI-Thinking-1 good for mathematics?
MAI-Thinking-1 has visible benchmark coverage in mathematics, but BenchLM does not currently assign it a global category rank there.
Is MAI-Thinking-1 good for reasoning and logic?
MAI-Thinking-1 has visible benchmark coverage in reasoning and logic, but BenchLM does not currently assign it a global category rank there.
Is MAI-Thinking-1 good for agentic tool use and computer tasks?
MAI-Thinking-1 ranks #45 out of 119 models in agentic tool use and computer tasks benchmarks with an average score of 50.6. There are stronger options in this category.
Is MAI-Thinking-1 good for instruction following?
MAI-Thinking-1 ranks #1 out of 31 models in instruction following benchmarks with an average score of 97.8. It is among the top performers in this category.
Does MAI-Thinking-1 have full benchmark coverage on BenchLM?
Not yet. MAI-Thinking-1 currently has 13 published benchmark scores out of the 323 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.
What is the context window size of MAI-Thinking-1?
MAI-Thinking-1 has a published context window of 256K, which determines how much text it can process in a single interaction.
Related Resources
Choose with this week’s evidence
Join 2,000+ readers for ranking moves, new releases, pricing changes, and the evidence behind them.
Free. One email per week.