gemini-2.5-pro_32K: benchmark scores, price and ranking
gemini-2.5-pro_32K from Google DeepMind ranks #284 of 743 LLMs on the LLMs Tiger aggregate benchmark score (49.2), based on 1 benchmark results captured up to 2026-10-13.
- Organisation
- Google DeepMind
- Type
- Frontier model
- Open weights
- No
- Released
- 2025-03-25 (source: curated)
- Cheapest API price
- $1.25 in / $10.00 out per million tokens (via deepinfra, observed 2026-10-13T21:47Z)
- Aggregate rank
- #284 of 743 (score 49.2)
Across the 1 benchmark where at least ten models are scored, gemini-2.5-pro_32K is in the top 10% on 0 and in the top half on 1.
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_32K benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| ALE-Bench | 786 | #37 of 79 | Epoch AI Benchmarking Hub | 2026-10-13 |
About gemini-2.5-pro_32K
gemini-2.5-pro_32K is a frontier model from Google DeepMind. It was released on 2025-03-25, according to the developer's announcement. 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_32K stands
On our aggregate score, gemini-2.5-pro_32K is #284 of 743 ranked models, around the middle of the table. Its score is 49.2; the scale is centred on 50, so it sits 0.8 points below the typical model. That beats 62% of the ranked field. Among the 41 ranked Google DeepMind models it is #16. The next one up is gemini-2.5-flash-preview-05-20_16K at 49.3. The next one down is Gemini 2.0 Flash (Experimental) at 48.8.
gemini-2.5-pro_32K, benchmark by benchmark
ALE-Bench puts gemini-2.5-pro_32K at 786, #37 of 79. That beats 53% of the models tested, but 2,166 points short of GPT-6 Astra (max) (2,951). The results either side are Mercury 2 (786) and mimo-v2-pro (785). It covers AtCoder heuristic-optimisation contests (performance rating). The board median is 764, so gemini-2.5-pro_32K is 22 points above it. Source: Epoch AI Benchmarking Hub, 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_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), DeepSeek V4 Flash 0731 (max) ($0.016, 53.1). Similar scores cost more on Gemini 3 Pro ($2.00) and gpt-5.6-sol-xhigh (codex-harness) ($2.00).
Release history
The Google DeepMind model released before it was gemma-3-4b-it on 2025-03-12, which scores 39.9. The next one was Gemini 2.5 Pro Exp (Mar 2025) on 2025-03-25, at 51.2.
Reading these numbers
The 1 score on this page comes from 1 source: Epoch AI Benchmarking Hub (1). No official leaderboard supplied any of them, so treat them as third-party measurements. With 1 results the aggregate rank can move a lot when one new score arrives.
Models ranked nearby
- #281 gemini-2.5-flash-preview-05-20_16K (49.3)
- #282 Claude 3.5 Sonnet (49.2)
- #283 GLM-4.5 Thinking (49.2)
- #285 gpt-3.5-turbo-1106 (49.2)
- #286 computer-use-preview-2025-03-11 (49.2)
- #287 NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16 (49.2)
More from Google DeepMind
- Gemini 3.8 Flash (high) (#26, 54.0)
- Gemini 3.7 Flash (high) (#27, 53.9)
- Gemini 3 Pro Preview (#31, 53.7)
- Gemini 3 Deep Think (#60, 52.6)
- AI co-mathematician (#69, 52.3)
- Gemini 3 Flash (#120, 51.5)
Compare it on the live leaderboard → · How the aggregate score works