Model comparison
Gemini 3.6 Flash 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.
Evidence parity. Gemini 3.6 Flash and MAI-Thinking-1 share 0 comparable benchmark results. 1 of 8 categories are comparable. 19 results are unique to Gemini 3.6 Flash; 13 to MAI-Thinking-1.
Updated July 21, 2026- Shared results
- 0
- Gemini 3.6 Flash only
- 19
- MAI-Thinking-1 only
- 13
- Comparable categories
- 1 / 8
Treat this as a split decision. Gemini 3.6 Flash makes more sense if agentic is the priority or you need the larger 1M context window; MAI-Thinking-1 is the better fit if its strengths line up with your actual workload.
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
Gemini 3.6 Flash 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.
Gemini 3.6 Flash gives you the larger context window at 1M, compared with 256K for MAI-Thinking-1.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Gemini 3.6 Flash | MAI-Thinking-1 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemini 3.6 Flash$1.5 input / $7.5 output | MAI-Thinking-1Not available | A complete price comparison is not available. |
| Generation speedtokens per second | Gemini 3.6 FlashNot available | MAI-Thinking-1Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Gemini 3.6 FlashNot available | MAI-Thinking-1Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Gemini 3.6 Flash1M | MAI-Thinking-1256K | Gemini 3.6 Flash lists the larger context window. |
Benchmark Deep Dive
AgenticGemini 3.6 Flash wins8 benchmarks
| Benchmark | Gemini 3.6 Flash | MAI-Thinking-1 | Result |
|---|---|---|---|
| OSWorld-VerifiedSource | 83% | — | Not comparable |
| GDPval-AASource | 1421 | — | Not comparable |
| AA Agentic IndexSource | 38.7% | — | Not comparable |
| GDPval-AASource | 46.1% | — | Not comparable |
| AA BriefcaseSource | 961 | — | Not comparable |
| AA Tau3 BankingSource | 24.5% | — | Not comparable |
| aaTerminalBench21Source | 77.5% | — | Not comparable |
| Terminal-Bench 2.0Source | — | 46% | Not comparable |
Coding6 benchmarks
Reasoning3 benchmarks
Knowledge10 benchmarks
| Benchmark | Gemini 3.6 Flash | MAI-Thinking-1 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 50.1% | — | Not comparable |
| AA-GPQA DiamondSource | 92.8% | — | Not comparable |
| AA-HLESource | 38.3% | — | Not comparable |
| AA-Omniscience IndexSource | 23.5% | — | Not comparable |
| AA-Omniscience AccuracySource | 50.2% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 53.5% | — | Not comparable |
| GPQASource | — | 84.2% | Not comparable |
| GPQA-DSource | — | 84.2% | Not comparable |
| MMLU-ProSource | — | 85% | Not comparable |
| SimpleQASource | — | 31% | Not comparable |
Math3 benchmarks
Multimodal1 benchmarks
| Benchmark | Gemini 3.6 Flash | MAI-Thinking-1 | Result |
|---|---|---|---|
| AA-MMMU-ProSource | 83.2% | — | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Gemini 3.6 Flash | MAI-Thinking-1 | Result |
|---|---|---|---|
| IFBenchSource | — | 85% | Not comparable |
Frequently Asked Questions (2)
Which is better, Gemini 3.6 Flash or MAI-Thinking-1?
Gemini 3.6 Flash 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 agentic tasks, Gemini 3.6 Flash or MAI-Thinking-1?
Gemini 3.6 Flash has the edge for agentic tasks in this comparison, averaging 83 versus 46. MAI-Thinking-1 stays close enough that the answer can still flip depending on your workload.
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