Gemini 2.5 Pro (Thinking 32K): benchmark scores, price and ranking

Gemini 2.5 Pro (Thinking 32K) from Google ranks #409 of 743 LLMs on the LLMs Tiger aggregate benchmark score (47.7), based on 1 benchmark results captured up to 2026-10-13.

Organisation: Google
Type: Frontier model
Open weights: No
Cheapest API price: $1.25 in / $10.00 out per million tokens (via deepinfra, observed 2026-10-13T20:47Z)
Aggregate rank: #409 of 743 (score 47.7)

Across the 1 benchmark where at least ten models are scored, Gemini 2.5 Pro (Thinking 32K) is in the top 10% on 0 and in the top half on 0.

Its cheapest listed input price, $1.25 per million tokens, is lower than that of 26% of the 427 models with a listed price.

Gemini 2.5 Pro (Thinking 32K) benchmark results

Gemini 2.5 Pro (Thinking 32K) benchmark scores, ranked against all models measured on each benchmark
Benchmark	Score	Rank	Source	Captured
ARC-AGI-2	4.9%	#58 of 87	ARC Prize official leaderboard	2026-10-13

About Gemini 2.5 Pro (Thinking 32K)

Gemini 2.5 Pro (Thinking 32K) is a frontier model from Google. The cheapest API listing we track charges $1.25 per million input tokens and $10.00 per million output tokens, through deepinfra. We hold 1 benchmark result for it across 1 area, and none is in the top tenth of its board.

Where Gemini 2.5 Pro (Thinking 32K) stands

On our aggregate score, Gemini 2.5 Pro (Thinking 32K) is #409 of 743 ranked models, around the middle of the table. Its score is 47.7; the scale is centred on 50, so it sits 2.3 points below the typical model. That beats 45% of the ranked field. Among the 29 ranked Google models it is #21. The next one up is gemini-2.0-flash-thinking-exp-01-21 at 47.9. The next one down is gemini-3.1-flash-lite (high) at 47.7.

Gemini 2.5 Pro (Thinking 32K), benchmark by benchmark

Gemini 2.5 Pro (Thinking 32K) lands below the middle on ARC-AGI-2: 4.9%, #58 of 87, with 66% of the field scoring higher. GPT-6 Astra (max) leads at 95.0%; the closest result above is Grok 4 (Fast Reasoning) at 5.3%. It covers abstract reasoning, ARC Prize public eval set. The board median is 22.8%, so Gemini 2.5 Pro (Thinking 32K) is 17.9 points below it. Source: ARC Prize official leaderboard, captured 2026-10-13.

Price and value

The median input price across the 427 priced models is $0.500 per million tokens, so Gemini 2.5 Pro (Thinking 32K) costs more than the typical listing. Models that score within 1.5 points or better and cost less: Qwen2.5-Coder-7B-Instruct ($0.010, 49.5), DeepSeek V4.1 Flash (high) ($0.010, 48.9), Qwen2.5-Coder-3B-Instruct ($0.010, 46.5). Similar scores cost more on Codex Mini (Latest) ($1.50) and Magistral Medium ($1.50).

Reading these numbers

The 1 score on this page comes from 1 source: ARC Prize official leaderboard (1). 1 of them come from an official leaderboard and 0 from datasets or third-party runs. The leaderboard also lists 4 other reasoning-effort settings of this model, which redirect here. This page shows the highest. With 1 results the aggregate rank can move a lot when one new score arrives.

Gemini 2.5 Pro (Thinking 32K) is also listed at 4 other reasoning-effort settings; this page shows the highest-effort row, which is the one the leaderboard keeps by default.

Models ranked nearby

#406 DeepSeek-V3.2 (47.7)
#407 Grok 4 (Fast Reasoning) (47.7)
#408 Mistral-Small-24B-Base-2501 (47.7)
#410 GLM-4.7 (47.7)
#411 Mistral Large 4 (high) (47.7)
#412 Claude Haiku 4.5 (Thinking 32K) (47.7)