Gemini 1.5 Pro benchmarks, pricing and specs
Gemini 1.5 Pro is a Google model released on February 15, 2024 that takes text, image, audio and video input and produces text. It is now listed as a legacy model. Its price is not published and accepts up to 2,097,152 tokens of context. It scores 1324 Elo on Arena Text (Arena, measured October 8, 2026).
- Context window
- 2.1M
- Arena Text
- 1324 Elo
Data verified October 12, 2026 · Dataset 2026-10-12
Key facts
- Provider
- Model family
- Gemini 1.5
- Release date
- February 15, 2024
- Status
- Legacy
- Access
- API only
- API model id
- Not reported
- Context window
- 2,097,152 tokens
- Max output
- 8,192 tokens
- Input
- text, image, audio, video
- Output
- text
- Task families
- text, multimodal
- Declared capabilities
- reasoning
Gemini 1.5 Pro pricing
Independent benchmark results
Scores come from independent evaluators that ran the model themselves, pinned to a dated snapshot. Rank is among current models in the same snapshot. Google's own launch figures are listed under strengths with the publisher named, because they are not measured the same way.
| Benchmark | Score | Rank | Measured | Source |
|---|---|---|---|---|
| Arena Text | 1324 Elo | Not ranked | October 8, 2026 | Arena · 2026-10-12 |
| GPQA Diamond | 45.9% | Not ranked | October 12, 2026 | Epoch AI · 2026-10-12 |
Strengths, cautions and best uses
Strengths
- Gemini 1.5 Pro records API access for text, image, audio, and video inputs and a published 2,097,152-token context window
Cautions
- This record is marked legacy; confirm current availability and migration requirements before adoption
Best for
- Historical very-long-context multimodal API comparison
Alternatives to Gemini 1.5 Pro
The closest current textmodels by price. The cheapest model that scores as well or better is listed first; failing that, the cheapest one within 3% of the benchmark's scale.
DeepSeek-R1
- 74 points higher on Arena Text, 1398 vs 1324
- 128K context window vs 2.1M
- From DeepSeek
Gemini 2.5 Pro
- 121 points higher on Arena Text, 1445 vs 1324
- 1.05M context window vs 2.1M
GPT-4.1
- 91 points higher on Arena Text, 1415 vs 1324
- 1.05M context window vs 2.1M
- From OpenAI
GPT-4.1 mini
- 59 points higher on Arena Text, 1383 vs 1324
- 1.05M context window vs 2.1M
- From OpenAI
Other Gemini 1.5 models
Gemini 1.5 Pro FAQ
What is the context window of Gemini 1.5 Pro?
Gemini 1.5 Pro accepts up to 2,097,152 tokens of context. It can return up to 8,192 tokens in one response. That ranks #1 of 45 current text models by context length.
How does Gemini 1.5 Pro score on independent benchmarks?
Gemini 1.5 Pro scores 1324 Elo on Arena Text (Arena, measured October 8, 2026) and 45.9% on GPQA Diamond (Epoch AI, measured October 12, 2026). These are independent evaluations, not Google's own launch figures.
Is Gemini 1.5 Pro open source or API only?
Gemini 1.5 Pro is available through Google's API only; its weights are not published.
What are the best alternatives to Gemini 1.5 Pro?
The closest current alternatives by price and measured performance are DeepSeek-R1 (74 points higher on Arena Text, 1398 vs 1324), Gemini 2.5 Pro (121 points higher on Arena Text, 1445 vs 1324), GPT-4.1 (91 points higher on Arena Text, 1415 vs 1324) and GPT-4.1 mini (59 points higher on Arena Text, 1383 vs 1324).
Sources
- Our next-generation model: Gemini 1.5 · Google · official · verified August 6, 2026
- Gemini Developer API pricing · Google · official · verified October 11, 2026
- Gemini API models · Google · official · verified August 6, 2026
- Epoch AI Benchmarking Hub data (benchmark_data.zip) · Epoch AI · independent · verified October 12, 2026 · CC-BY-4.0
- Arena leaderboard dataset (lmarena-ai/leaderboard-dataset) · Arena · independent · verified October 12, 2026 · CC-BY-4.0
Cite this page
Van Data Team. "Gemini 1.5 Pro Benchmarks, Pricing and Specs." AI Model Benchmark Dataset 2026-10-12. https://vandatateam.com/ai-model-benchmarks/gemini-1-5-pro
Reuse the data: JSON · CSV · or explore every model in the AI model benchmark comparison.
Production evaluation
Deciding whether Gemini 1.5 Pro fits your workload?
Public benchmarks narrow the shortlist. We test the finalists on your own tasks, data and cost limits, then build the routing and review controls to run the winner in production.
- Evaluation cases and acceptance thresholds tied to real work
- Model routing, fallbacks and cost controls
