Model comparison
MAI-Thinking-1 vs MiMo-V2-Omni
Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: MAI-Thinking-1 unranked (Not scored); MiMo-V2-Omni #40 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. MAI-Thinking-1 and MiMo-V2-Omni share 1 comparable benchmark result. 1 of 8 categories are comparable. 12 results are unique to MAI-Thinking-1; 13 to MiMo-V2-Omni.
Updated July 23, 2026- Shared results
- 1
- MAI-Thinking-1 only
- 12
- MiMo-V2-Omni only
- 13
- Comparable categories
- 1 / 8
Treat this as a split decision. MAI-Thinking-1 makes more sense if its workflow fits your team better; MiMo-V2-Omni is the better fit if coding is the priority or you need the larger 262K context window.
Confidence note. This is a partial-evidence comparison with 1 shared benchmark result across 1 evidence category; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
MAI-Thinking-1 and MiMo-V2-Omni finish on the same BenchAlign overall score, so this is less about a single winner and more about where the edge shows up. The BenchAlign headline says tie; the benchmark table is where the real choice happens.
MiMo-V2-Omni gives you the larger context window at 262K, compared with 256K for MAI-Thinking-1.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
| Category | MAI-Thinking-1 | Δ | MiMo-V2-Omni |
|---|---|---|---|
| Coding | MAI-Thinking-165.5 | Margin→ 9.3 | MiMo-V2-Omni74.8 |
| Agentic | MAI-Thinking-146.0 | MarginNo overlap | MiMo-V2-OmniNot measured |
| Knowledge | MAI-Thinking-172.5 | MarginNo overlap | MiMo-V2-OmniNot measured |
| Math | MAI-Thinking-189.7 | MarginNo overlap | MiMo-V2-OmniNot measured |
| Inst. Following | MAI-Thinking-185.0 | MarginNo overlap | MiMo-V2-OmniNot measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
SWE-bench Verified
CodingA 73.5%B 74.8%Winner: MiMo-V2-OmniΔ 1.3SWE-bench Verified: MAI-Thinking-1 scored 73.5%; MiMo-V2-Omni scored 74.8%. MiMo-V2-Omni wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | MAI-Thinking-1 | MiMo-V2-Omni | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | MAI-Thinking-1Not available | MiMo-V2-OmniNot available | A complete price comparison is not available. |
| Generation speedtokens per second | MAI-Thinking-1Not available | MiMo-V2-OmniNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | MAI-Thinking-1Not available | MiMo-V2-OmniNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | MAI-Thinking-1256K | MiMo-V2-Omni262K | MiMo-V2-Omni lists the larger context window. |
Benchmark Deep Dive
Agentic3 benchmarks
CodingMiMo-V2-Omni wins4 benchmarks
Reasoning3 benchmarks
Knowledge10 benchmarks
| Benchmark | MAI-Thinking-1 | MiMo-V2-Omni | Result |
|---|---|---|---|
| GPQASource | 84.2% | — | Not comparable |
| GPQA-DSource | 84.2% | — | Not comparable |
| MMLU-ProSource | 85% | — | Not comparable |
| SimpleQASource | 31% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | — | 35.0% | Not comparable |
| AA-GPQA DiamondSource | — | 82.8% | Not comparable |
| AA-HLESource | — | 19.9% | Not comparable |
| AA-Omniscience IndexSource | — | -17.4% | Not comparable |
| AA-Omniscience AccuracySource | — | 18.7% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 44.4% | Not comparable |
Math3 benchmarks
Multimodal1 benchmarks
| Benchmark | MAI-Thinking-1 | MiMo-V2-Omni | Result |
|---|---|---|---|
| AA-MMMU-ProSource | — | 69.9% | Not comparable |
Frequently Asked Questions (2)
Which is better, MAI-Thinking-1 or MiMo-V2-Omni?
MAI-Thinking-1 and MiMo-V2-Omni are tied on the BenchAlign overall score, so the right pick depends on which category matters most for your use case.
Which is better for coding, MAI-Thinking-1 or MiMo-V2-Omni?
MiMo-V2-Omni has the edge for coding in this comparison, averaging 74.8 versus 65.5. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
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