Specifications
Context Window
—
Input Price/1M
—
Output Price/1M
—
Parameters
—
Benchmarks
Gemini 1.0 Pro results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
Coding
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| SciCode | 12.0 | 100.0 | — |
| LiveCodeBench | 12.0 | 100.0 | Artificial Analysis official API |
Knowledge
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU-Pro | 43.0 | 100.0 | — |
Math
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MATH-500 | 40.3 | 100.0 | Artificial Analysis official API |
overall
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 8.5 | 100.0 | Artificial Analysis official API |
Reasoning
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU Pro | 43.1 | 100.0 | Artificial Analysis official API |
| GPQA Diamond | 28.0 | 100.0 | Artificial Analysis official API |
| HLE | 5.0 | 100.0 | — |
Information
- Release date
- December 06, 2023
- Tool Calling
- ❌ Not supported
- Vision
- ❌ Not supported
- Audio
- ❌ Not supported
Full Analysis: Gemini 1.0 Pro
What is Gemini 1.0 Pro?
Gemini 1.0 Pro is an AI model developed by Google, classified as a text model. It focuses on text processing and natural language generation. As a proprietary model, it is available via Google's cloud API.
Pricing & Costs in 2026
Gemini 1.0 Pro does not have public per-token pricing available at this time. Some models offer access via enterprise plans or research programs. Check Google's official website for up-to-date availability and pricing.
Benchmarks & Performance
Gemini 1.0 Pro was evaluated on 8 different benchmarks, covering categories like Coding, Knowledge, Math, overall, Reasoning. Results show moderate performance across available evaluations.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Recommended Use Cases
Gemini 1.0 Pro specializes in text, offering advanced capabilities for creating and processing text content.
Comparison with Alternatives
In the 2026 AI model ecosystem, Gemini 1.0 Pro competes directly with similarly capable models. Key competitors include GPT (OpenAI), Claude (Anthropic), and open source models like Llama (Meta) and Qwen (Alibaba). The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
Frequently Asked Questions
What is Gemini 1.0 Pro?
Gemini 1.0 Pro is an AI model developed by Google. It is a text model.
How much does Gemini 1.0 Pro cost?
Gemini 1.0 Pro does not have public per-token pricing available at this time. Check Google's official website for up-to-date information.
How does Gemini 1.0 Pro compare with other models?
In available benchmarks, Gemini 1.0 Pro scored: SciCode: 12/100, LiveCodeBench: 12/100, MMLU-Pro: 43/100. See the full table above for a detailed comparison.
Is Gemini 1.0 Pro open source?
No, Gemini 1.0 Pro is a proprietary model from Google. It is available via cloud API. For open source alternatives, check our open source model ranking.
What is Gemini 1.0 Pro best for?
Gemini 1.0 Pro excels at general-purpose language tasks.
Last updated: June 01, 2026 • View methodology →