gemini-2.5-flash-preview-09-2025_16k: benchmark scores, price and ranking
gemini-2.5-flash-preview-09-2025_16k from Google DeepMind ranks #275 of 743 LLMs on the LLMs Tiger aggregate benchmark score (49.3), based on 1 benchmark results captured up to 2026-10-13.
- Organisation
- Google DeepMind
- Type
- Preview release
- Open weights
- No
- Aggregate rank
- #275 of 743 (score 49.3)
Across the 1 benchmark where at least ten models are scored, gemini-2.5-flash-preview-09-2025_16k is in the top 10% on 0 and in the top half on 1.
gemini-2.5-flash-preview-09-2025_16k benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| WeirdML | 41.9% | #53 of 109 | Epoch AI Benchmarking Hub | 2026-10-13 |
About gemini-2.5-flash-preview-09-2025_16k
gemini-2.5-flash-preview-09-2025_16k is a preview release from Google DeepMind. No API price is listed for it yet. We hold 1 benchmark result for it across 1 area, and none is in the top tenth of its board.
Where gemini-2.5-flash-preview-09-2025_16k stands
On our aggregate score, gemini-2.5-flash-preview-09-2025_16k is #275 of 743 ranked models, around the middle of the table. Its score is 49.3; the scale is centred on 50, so it sits 0.7 points below the typical model. That beats 63% of the ranked field. Among the 41 ranked Google DeepMind models it is #14. The next one up is gemini-2.5-flash-preview-09-2025 at 50.0. The next one down is gemini-2.5-flash-preview-05-20_16K at 49.3.
gemini-2.5-flash-preview-09-2025_16k, benchmark by benchmark
WeirdML puts gemini-2.5-flash-preview-09-2025_16k at 41.9%, #53 of 109. That beats 51% of the models tested, but 51.4 points short of GPT-6 Astra (max) (93.3%). The results either side are grok-3-mini-beta (high) (42.6%) and DeepSeek-R1 (May 2025) (41.6%). It covers unusual machine-learning tasks. The board median is 41.2%, so gemini-2.5-flash-preview-09-2025_16k is 0.7 points above it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.
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
- #272 gemini/gemini-1.5-pro-latest (49.4)
- #273 Gemini 2.0 Pro exp-02-05 (49.4)
- #274 Qwen3-Next-80B-A3B-Instruct (49.3)
- #276 Qwen3-4B-Thinking-2507 (49.3)
- #277 Qwen3.5 27B (49.3)
- #278 Qwen3-235B-A22B-Instruct-2507 (49.3)
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Compare it on the live leaderboard → · How the aggregate score works