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Gemini 2.5 Pro vs MAI-Thinking-1

Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.

Gemini 2.5 Pro

64

VS

MAI-Thinking-1

65

0 categoriesvs2 categories

Verified leaderboard positions: Gemini 2.5 Pro unranked · MAI-Thinking-1 #23

Pick MAI-Thinking-1 if you want the stronger benchmark profile. Gemini 2.5 Pro only becomes the better choice if you need the larger 1M context window or you would rather avoid the extra latency and token burn of a reasoning model.

Category Radar

Head-to-Head by Category

Category Breakdown

Coding

MAI-Thinking-1
63.8vs71

+7.2 difference

Knowledge

MAI-Thinking-1
40.8vs69.9

+29.1 difference

Operational Comparison

Gemini 2.5 Pro

MAI-Thinking-1

Price (per 1M tokens)

$1.25 / $10

N/A

Speed

117 t/s

N/A

Latency (TTFT)

21.19s

N/A

Context Window

1M

256K

Quick Verdict

Pick MAI-Thinking-1 if you want the stronger benchmark profile. Gemini 2.5 Pro only becomes the better choice if you need the larger 1M context window or you would rather avoid the extra latency and token burn of a reasoning model.

MAI-Thinking-1 finishes one point ahead on BenchLM's provisional leaderboard, 65 to 64. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.

MAI-Thinking-1's sharpest advantage is in knowledge, where it averages 69.9 against 40.8. The single biggest benchmark swing on the page is SWE-bench Verified, 63.8% to 73.5%.

MAI-Thinking-1 is the reasoning model in the pair, while Gemini 2.5 Pro 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. Gemini 2.5 Pro gives you the larger context window at 1M, compared with 256K for MAI-Thinking-1.

Benchmark Deep Dive

Frequently Asked Questions (3)

Which is better, Gemini 2.5 Pro or MAI-Thinking-1?

MAI-Thinking-1 is ahead on BenchLM's provisional leaderboard, 65 to 64. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 63.8% and 73.5%.

Which is better for knowledge tasks, Gemini 2.5 Pro or MAI-Thinking-1?

MAI-Thinking-1 has the edge for knowledge tasks in this comparison, averaging 69.9 versus 40.8. Inside this category, GPQA is the benchmark that creates the most daylight between them.

Which is better for coding, Gemini 2.5 Pro or MAI-Thinking-1?

MAI-Thinking-1 has the edge for coding in this comparison, averaging 71 versus 63.8. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.

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Last updated: June 8, 2026

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