Specifications
Context Window
—
Input Price/1M
$1.50
Output Price/1M
$9.00
Parameters
—
Speed
216 tok/s
Latency (TTFT)
801ms
Benchmarks
Gemini 3.5 Flash (minimal) results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
Agentic
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Terminal-Bench Hard | 46.0 | 100.0 | — |
Coding
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| SciCode | 49.0 | 100.0 | — |
| AA Coding Index | 47.1 | 100.0 | Artificial Analysis official API |
Long Context
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA-LCR | 53.0 | 100.0 | — |
overall
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 43.3 | 100.0 | Artificial Analysis official API |
Reasoning
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| GPQA Diamond | 83.0 | 100.0 | Artificial Analysis official API |
| IFBench | 47.0 | 100.0 | — |
| HLE | 23.0 | 100.0 | — |
Tool Use
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Tau²-Bench | 59.0 | 100.0 | — |
Information
- Release date
- May 19, 2026
- Tool Calling
- ❌ Not supported
- Vision
- ❌ Not supported
- Audio
- ❌ Not supported
Full Analysis: Gemini 3.5 Flash (minimal)
What is Gemini 3.5 Flash (minimal)?
Gemini 3.5 Flash (minimal) 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 Flash (minimal) is usage-based, priced at $1.5/1M input tokens and $9/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. The mid-range pricing balances quality and cost for most professional applications.
Benchmarks & Performance
Gemini 3.5 Flash (minimal) was evaluated on 9 different benchmarks, covering categories like Agentic, Coding, Long Context, overall, Reasoning, Tool Use. 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 Flash (minimal) specializes in text, offering advanced capabilities for creating and processing text content.
Comparison with Alternatives
In the 2026 AI model ecosystem, Gemini 3.5 Flash (minimal) 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 Flash (minimal)?
Gemini 3.5 Flash (minimal) is an AI model developed by Google. It is a text model.
How much does Gemini 3.5 Flash (minimal) cost?
Gemini 3.5 Flash (minimal) costs $1.5/1M input tokens and $9/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
How does Gemini 3.5 Flash (minimal) compare with other models?
In available benchmarks, Gemini 3.5 Flash (minimal) scored: Terminal-Bench Hard: 46/100, SciCode: 49/100, AA Coding Index: 47.1/100. See the full table above for a detailed comparison.
Is Gemini 3.5 Flash (minimal) open source?
No, Gemini 3.5 Flash (minimal) 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 Flash (minimal) best for?
Gemini 3.5 Flash (minimal) excels at general-purpose language tasks.
Last updated: June 01, 2026 • View methodology →