Model comparison
Gemini 3.1 Flash-Lite 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: Gemini 3.1 Flash-Lite #111 (Supported); MAI-Thinking-1 unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Gemini 3.1 Flash-Lite and MAI-Thinking-1 share 0 comparable benchmark results. 0 of 8 categories are comparable. 20 results are unique to Gemini 3.1 Flash-Lite; 13 to MAI-Thinking-1.
Updated July 23, 2026- Shared results
- 0
- Gemini 3.1 Flash-Lite only
- 20
- MAI-Thinking-1 only
- 13
- Comparable categories
- 0 / 8
Benchmark data for Gemini 3.1 Flash-Lite and MAI-Thinking-1 is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
Gemini 3.1 Flash-Lite has 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 3.1 Flash-Lite | MAI-Thinking-1 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemini 3.1 Flash-Lite$0.25 input / $1.5 output | MAI-Thinking-1Not available | A complete price comparison is not available. |
| Generation speedtokens per second | Gemini 3.1 Flash-Lite205 tok/s | MAI-Thinking-1Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Gemini 3.1 Flash-Lite7.50 s | MAI-Thinking-1Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Gemini 3.1 Flash-Lite1M | MAI-Thinking-1256K | Gemini 3.1 Flash-Lite lists the larger context window. |
Benchmark Deep Dive
Agentic7 benchmarks
| Benchmark | Gemini 3.1 Flash-Lite | MAI-Thinking-1 | Result |
|---|---|---|---|
| AA Agentic IndexSource | 6.2% | — | Not comparable |
| APEX-Agents-AASource | 12.2% | — | Not comparable |
| τ²-bench resultsSource | 31.3% | — | Not comparable |
| GDPval-AASource | 7.1% | — | Not comparable |
| GDPval-AASource | 642 | — | Not comparable |
| Gert LabsSource | 38.46% | — | Not comparable |
| Terminal-Bench 2.0Source | — | 46% | Not comparable |
Coding6 benchmarks
| Benchmark | Gemini 3.1 Flash-Lite | MAI-Thinking-1 | Result |
|---|---|---|---|
| Vibe Code BenchSource | 0.00% | — | Not comparable |
| AA Coding IndexSource | 34.7% | — | Not comparable |
| AA-SciCodeSource | 41.9% | — | Not comparable |
| SWE-bench VerifiedSource | — | 73.5% | Not comparable |
| SWE-bench ProSource | — | 52.8% | Not comparable |
| Terminal-Bench 2.0Source | — | 46.0% | Not comparable |
Reasoning3 benchmarks
Knowledge10 benchmarks
| Benchmark | Gemini 3.1 Flash-Lite | MAI-Thinking-1 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 25.0% | — | Not comparable |
| AA-GPQA DiamondSource | 82.2% | — | Not comparable |
| AA-HLESource | 16.2% | — | Not comparable |
| AA-Omniscience IndexSource | -15.5% | — | Not comparable |
| AA-Omniscience AccuracySource | 36.4% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 81.6% | — | Not comparable |
| GPQASource | — | 84.2% | Not comparable |
| GPQA-DSource | — | 84.2% | Not comparable |
| MMLU-ProSource | — | 85% | Not comparable |
| SimpleQASource | — | 31% | Not comparable |
Math3 benchmarks
Multimodal2 benchmarks
Frequently Asked Questions (3)
Can I compare Gemini 3.1 Flash-Lite and MAI-Thinking-1 on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for Gemini 3.1 Flash-Lite and MAI-Thinking-1 today?
Gemini 3.1 Flash-Lite: $0.25 input / $1.50 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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