Model comparison
Kimi K2 vs MAI-Thinking-1
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Kimi K2 #189 (Supported); MAI-Thinking-1 unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Kimi K2 and MAI-Thinking-1 share 0 comparable benchmark results. 1 of 8 categories are comparable. 14 results are unique to Kimi K2; 13 to MAI-Thinking-1.
Updated July 23, 2026- Shared results
- 0
- Kimi K2 only
- 14
- MAI-Thinking-1 only
- 13
- Comparable categories
- 1 / 8
Treat this as a split decision. Kimi K2 makes more sense if you would rather avoid the extra latency and token burn of a reasoning model; MAI-Thinking-1 is the better fit if mathematics is the priority or you need the larger 256K context window.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Kimi K2 and MAI-Thinking-1 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.
MAI-Thinking-1 is the reasoning model in the pair, while Kimi K2 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. MAI-Thinking-1 gives you the larger context window at 256K, compared with 128K for Kimi K2.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Kimi K2 | MAI-Thinking-1 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Kimi K2$0.6 input / $2.5 output | MAI-Thinking-1Not available | A complete price comparison is not available. |
| Generation speedtokens per second | Kimi K243 tok/s | MAI-Thinking-1Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Kimi K21.51 s | MAI-Thinking-1Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Kimi K2128K | MAI-Thinking-1256K | MAI-Thinking-1 lists the larger context window. |
Benchmark Deep Dive
Agentic2 benchmarks
Coding4 benchmarks
Reasoning3 benchmarks
Knowledge10 benchmarks
| Benchmark | Kimi K2 | MAI-Thinking-1 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 19.4% | — | Not comparable |
| AA-GPQA DiamondSource | 76.6% | — | Not comparable |
| AA-HLESource | 7.0% | — | Not comparable |
| AA-Omniscience IndexSource | -27.5% | — | Not comparable |
| AA-Omniscience AccuracySource | 26.8% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 74.2% | — | Not comparable |
| GPQASource | — | 84.2% | Not comparable |
| GPQA-DSource | — | 84.2% | Not comparable |
| MMLU-ProSource | — | 85% | Not comparable |
| SimpleQASource | — | 31% | Not comparable |
MathMAI-Thinking-1 wins5 benchmarks
Multimodal1 benchmarks
| Benchmark | Kimi K2 | MAI-Thinking-1 | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1080 | — | Not comparable |
Frequently Asked Questions (2)
Which is better, Kimi K2 or MAI-Thinking-1?
Kimi K2 and MAI-Thinking-1 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 math, Kimi K2 or MAI-Thinking-1?
MAI-Thinking-1 has the edge for math in this comparison, averaging 89.7 versus 16.1. Kimi K2 stays close enough that the answer can still flip depending on your workload.
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