Gemini 3.1 Pro Preview Custom Tools vs Gemma 2 9B SahabatAI Instruct
Gemini 3.1 Pro Preview Custom Tools (2026) and Gemma 2 9B SahabatAI Instruct (2025) are compact production models from Google DeepMind. Gemini 3.1 Pro Preview Custom Tools ships a 1M-token context window, while Gemma 2 9B SahabatAI Instruct ships a 8K-token context window. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing.
Gemini 3.1 Pro Preview Custom Tools fits 125x more tokens; pick it for long-context work and Gemma 2 9B SahabatAI Instruct for tighter calls.
Specs
| Released | 2026-01-01 | 2025-01-01 |
| Context window | 1M | 8K |
| Parameters | — | 9B |
| Architecture | decoder only | decoder only |
| License | Unknown | 1 |
| Knowledge cutoff | - | - |
Pricing and availability
| Gemini 3.1 Pro Preview Custom Tools | Gemma 2 9B SahabatAI Instruct | |
|---|---|---|
| Input price | $2/1M tokens | - |
| Output price | $12/1M tokens | - |
| Providers |
Capabilities
| Gemini 3.1 Pro Preview Custom Tools | Gemma 2 9B SahabatAI Instruct | |
|---|---|---|
| Vision | ||
| Multimodal | ||
| Reasoning | ||
| Function calling | ||
| Tool use | ||
| Structured outputs | ||
| Code execution |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on structured outputs: Gemini 3.1 Pro Preview Custom Tools. Both models share the core language-model surface, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.
Pricing coverage is uneven: Gemini 3.1 Pro Preview Custom Tools has $2/1M input tokens and Gemma 2 9B SahabatAI Instruct has no token price sourced yet. Provider availability is 1 tracked routes versus 1. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose Gemini 3.1 Pro Preview Custom Tools when long-context analysis and larger context windows are central to the workload. Choose Gemma 2 9B SahabatAI Instruct when provider fit are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency.
FAQ
Which has a larger context window, Gemini 3.1 Pro Preview Custom Tools or Gemma 2 9B SahabatAI Instruct?
Gemini 3.1 Pro Preview Custom Tools supports 1M tokens, while Gemma 2 9B SahabatAI Instruct supports 8K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is Gemini 3.1 Pro Preview Custom Tools or Gemma 2 9B SahabatAI Instruct open source?
Gemini 3.1 Pro Preview Custom Tools is listed under Unknown. Gemma 2 9B SahabatAI Instruct is listed under 1. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Which is better for structured outputs, Gemini 3.1 Pro Preview Custom Tools or Gemma 2 9B SahabatAI Instruct?
Gemini 3.1 Pro Preview Custom Tools has the clearer documented structured outputs signal in this comparison. If structured outputs is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run Gemini 3.1 Pro Preview Custom Tools and Gemma 2 9B SahabatAI Instruct?
Gemini 3.1 Pro Preview Custom Tools is available on OpenRouter. Gemma 2 9B SahabatAI Instruct is available on NVIDIA NIM. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Gemini 3.1 Pro Preview Custom Tools over Gemma 2 9B SahabatAI Instruct?
Gemini 3.1 Pro Preview Custom Tools fits 125x more tokens; pick it for long-context work and Gemma 2 9B SahabatAI Instruct for tighter calls. If your workload also depends on long-context analysis, start with Gemini 3.1 Pro Preview Custom Tools; if it depends on provider fit, run the same evaluation with Gemma 2 9B SahabatAI Instruct.
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Last reviewed: 2026-04-24. Data sourced from public model cards and provider documentation.