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Gemini 3.5 Flash vs MAI-Thinking-1

Head-to-head comparison across 4benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.

Gemini 3.5 Flash

87

VS

MAI-Thinking-1

65

1 categoriesvs3 categories

Verified leaderboard positions: Gemini 3.5 Flash #9 · MAI-Thinking-1 #23

Pick Gemini 3.5 Flash if you want the stronger benchmark profile. MAI-Thinking-1 only becomes the better choice if coding is the priority.

Category Radar

Head-to-Head by Category

Category Breakdown

Agentic

Gemini 3.5 Flash
77.2vs46

+31.2 difference

Coding

MAI-Thinking-1
54.5vs71

+16.5 difference

Knowledge

MAI-Thinking-1
58vs69.9

+11.9 difference

Inst. Following

MAI-Thinking-1
76.3vs85

+8.7 difference

Operational Comparison

Gemini 3.5 Flash

MAI-Thinking-1

Price (per 1M tokens)

$1.5 / $9

N/A

Speed

284.2 t/s

N/A

Latency (TTFT)

18.55s

N/A

Context Window

1M

256K

Quick Verdict

Pick Gemini 3.5 Flash if you want the stronger benchmark profile. MAI-Thinking-1 only becomes the better choice if coding is the priority.

Gemini 3.5 Flash is clearly ahead on the provisional aggregate, 87 to 65. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

Gemini 3.5 Flash's sharpest advantage is in agentic, where it averages 77.2 against 46. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 76.2% to 46%. MAI-Thinking-1 does hit back in coding, so the answer changes if that is the part of the workload you care about most.

Gemini 3.5 Flash gives you the larger context window at 1M, compared with 256K for MAI-Thinking-1.

Benchmark Deep Dive

Frequently Asked Questions (5)

Which is better, Gemini 3.5 Flash or MAI-Thinking-1?

Gemini 3.5 Flash is ahead on BenchLM's provisional leaderboard, 87 to 65. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 76.2% and 46%.

Which is better for knowledge tasks, Gemini 3.5 Flash or MAI-Thinking-1?

MAI-Thinking-1 has the edge for knowledge tasks in this comparison, averaging 69.9 versus 58. Inside this category, GPQA-D is the benchmark that creates the most daylight between them.

Which is better for coding, Gemini 3.5 Flash or MAI-Thinking-1?

MAI-Thinking-1 has the edge for coding in this comparison, averaging 71 versus 54.5. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.

Which is better for agentic tasks, Gemini 3.5 Flash or MAI-Thinking-1?

Gemini 3.5 Flash has the edge for agentic tasks in this comparison, averaging 77.2 versus 46. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.

Which is better for instruction following, Gemini 3.5 Flash or MAI-Thinking-1?

MAI-Thinking-1 has the edge for instruction following in this comparison, averaging 85 versus 76.3. Inside this category, IFBench is the benchmark that creates the most daylight between them.

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Last updated: June 8, 2026

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