Specifications
Context Window
—
Input Price/1M
—
Output Price/1M
—
Parameters
—
Benchmarks
G9v3-3B results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
Coding
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| SciCode | 18.0 | 100.0 | — |
| AA Coding Index | 9.9 | 100.0 | Artificial Analysis official API |
Long Context
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA-LCR | 35.0 | 100.0 | — |
overall
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 16.1 | 100.0 | Artificial Analysis official API |
Reasoning
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| GPQA Diamond | 44.0 | 100.0 | Artificial Analysis official API |
| HLE | 4.0 | 100.0 | — |
Information
- Release date
- July 23, 2026
- Tool Calling
- ❌ Not supported
- Vision
- ❌ Not supported
- Audio
- ❌ Not supported
Full Analysis: G9v3-3B
What is G9v3-3B?
G9v3-3B is an AI model developed by AI9Stars, classified as a text model. It focuses on text processing and natural language generation. As a proprietary model, it is available via AI9Stars's cloud API.
Pricing & Costs in 2026
G9v3-3B does not have public per-token pricing available at this time. Some models offer access via enterprise plans or research programs. Check AI9Stars's official website for up-to-date availability and pricing.
Benchmarks & Performance
G9v3-3B was evaluated on 6 different benchmarks, covering categories like Coding, Long Context, 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
G9v3-3B specializes in text, offering advanced capabilities for creating and processing text content.
Comparison with Alternatives
In the 2026 AI model ecosystem, G9v3-3B competes directly with similarly capable models. AI9Stars competes in this segment against OpenAI, Anthropic, Google, and Meta. 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 G9v3-3B?
G9v3-3B is an AI model developed by AI9Stars. It is a text model.
How much does G9v3-3B cost?
G9v3-3B does not have public per-token pricing available at this time. Check AI9Stars's official website for up-to-date information.
How does G9v3-3B compare with other models?
In available benchmarks, G9v3-3B scored: SciCode: 18/100, AA Coding Index: 9.9/100, AA-LCR: 35/100. See the full table above for a detailed comparison.
Is G9v3-3B open source?
No, G9v3-3B is a proprietary model from AI9Stars. It is available via cloud API. For open source alternatives, check our open source model ranking.
What is G9v3-3B best for?
G9v3-3B excels at general-purpose language tasks.
Last updated: July 28, 2026 • View methodology →