gemini-2.5-pro_16K: benchmark scores, price and ranking
gemini-2.5-pro_16K from Google DeepMind ranks #190 of 743 LLMs on the LLMs Tiger aggregate benchmark score (50.4), based on 1 benchmark results captured up to 2026-10-13.
- Organisation
- Google DeepMind
- Type
- Frontier model
- Open weights
- No
- Released
- 2025-06-17 (source: epoch)
- Aggregate rank
- #190 of 743 (score 50.4)
Across the 1 benchmark where at least ten models are scored, gemini-2.5-pro_16K is in the top 10% on 0 and in the top half on 1.
gemini-2.5-pro_16K benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| WeirdML | 54.0% | #24 of 109 | Epoch AI Benchmarking Hub | 2026-10-13 |
About gemini-2.5-pro_16K
gemini-2.5-pro_16K is a frontier model from Google DeepMind. It was released on 2025-06-17, according to Epoch AI. 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-pro_16K stands
On our aggregate score, gemini-2.5-pro_16K is #190 of 743 ranked models, around the middle of the table. Its score is 50.4; the scale is centred on 50, so it sits 0.4 points above the typical model. That beats 74% of the ranked field. Among the 41 ranked Google DeepMind models it is #12. The next one up is gemini-2.5-flash-preview-05-20 at 50.5. The next one down is gemini-2.5-flash-preview-09-2025 at 50.0.
gemini-2.5-pro_16K, benchmark by benchmark
WeirdML puts gemini-2.5-pro_16K at 54.0%, #24 of 109. That beats 78% of the models tested, but 39.2 points short of GPT-6 Astra (max) (93.3%). The results either side are Kimi K2.7 Code (54.1%) and GPT-5 mini (high) (52.7%). It covers unusual machine-learning tasks. The board median is 41.2%, so gemini-2.5-pro_16K is 12.9 points above it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.
Release history
The Google DeepMind model released before it was gemini-2.5-flash-lite-preview-06-17 (Default thinking length) on 2025-06-17, which scores 44.6. The next one was Gemini 3 Pro on 2025-11-18, at 50.6.
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
- #187 Kimi K2 Thinking Turbo (50.5)
- #188 swe-search (50.5)
- #189 Qwen3.7 Flash (50.5)
- #191 nousresearch/hermes-3-llama-3.1-405b (50.4)
- #192 ollama/Qwen2.5.1-Coder-7B-Instruct-GGUF:Q8_0-32k (50.4)
- #193 Claude 3.7 Sonnet (64k thinking) (50.4)
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