Specifications
Context Window
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Input Price/1M
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Output Price/1M
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Parameters
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Benchmarks
Gemini 3.5 results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
Coding
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveBench Coding | 74.6 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
Data Analysis
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveBench Data Analysis | 74.4 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
Language
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveBench Language | 84.6 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
Math
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveBench Math | 81.8 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
overall
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveBench Global | 73.4 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
Reasoning
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveBench Reasoning | 77.4 | 100.0 | Contamination-free benchmark with objective ground-truth answers |
Information
- Tool Calling
- ❌ Not supported
- Vision
- ❌ Not supported
- Audio
- ❌ Not supported
Full Analysis: Gemini 3.5
What is Gemini 3.5?
Gemini 3.5 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 3.5 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 3.5 was evaluated on 6 different benchmarks, covering categories like Coding, Data Analysis, Language, Math, overall, Reasoning. Results show solid 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 3.5 specializes in text, offering advanced capabilities for creating and processing text content.
Comparison with Alternatives
In the 2026 AI model ecosystem, Gemini 3.5 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 3.5?
Gemini 3.5 is an AI model developed by Google. It is a text model.
How much does Gemini 3.5 cost?
Gemini 3.5 does not have public per-token pricing available at this time. Check Google's official website for up-to-date information.
How does Gemini 3.5 compare with other models?
In available benchmarks, Gemini 3.5 scored: LiveBench Coding: 74.6/100, LiveBench Data Analysis: 74.39/100, LiveBench Language: 84.62/100. See the full table above for a detailed comparison.
Is Gemini 3.5 open source?
No, Gemini 3.5 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 3.5 best for?
Gemini 3.5 excels at general-purpose language tasks.
Last updated: June 13, 2026 • View methodology →