Gemma 2 9B SahabatAI Instruct vs Granite 3.1 8B Instruct
Gemma 2 9B SahabatAI Instruct (2025) and Granite 3.1 8B Instruct (2024) are compact production models from Google DeepMind and IBM Research. Gemma 2 9B SahabatAI Instruct ships a 8k-token context window, while Granite 3.1 8B Instruct ships a 128k-token context window. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Granite 3.1 8B Instruct fits 16x more tokens; pick it for long-context work and Gemma 2 9B SahabatAI Instruct for tighter calls.
Decision scorecard
Local evidence first| Signal | Gemma 2 9B SahabatAI Instruct | Granite 3.1 8B Instruct |
|---|---|---|
| Best for | general production evaluation | general production evaluation |
| Decision fit | General | Long context |
| Context window | 8k | 128k |
| Cheapest output | - | - |
| Provider routes | 1 tracked | 0 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Gemma 2 9B SahabatAI Instruct has broader tracked provider coverage for fallback and procurement flexibility.
- Granite 3.1 8B Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Local decision data tags Granite 3.1 8B Instruct for Long context.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Gemma 2 9B SahabatAI Instruct
Unavailable
No complete token price in local provider data
Granite 3.1 8B Instruct
Unavailable
No complete token price in local provider data
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- No overlapping tracked provider route is sourced for Gemma 2 9B SahabatAI Instruct and Granite 3.1 8B Instruct; plan for SDK, billing, or endpoint changes.
- No overlapping tracked provider route is sourced for Granite 3.1 8B Instruct and Gemma 2 9B SahabatAI Instruct; plan for SDK, billing, or endpoint changes.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-01-01 | 2024-12-18 |
| Context window | 8k | 128k |
| Parameters | 9B | 8B |
| Architecture | decoder only | Dense decoder-only transformer: 40 layers, 4096 embed, GQA 32/8 heads, RoPE, SwiGLU |
| License | Gemma | Apache 2.0(OSI) |
| Openness | Open weights | Open source |
| Commercial use | Commercial use with conditions | Commercial use allowed |
| Knowledge cutoff | - | 2024-04 |
Pricing and availability
| Pricing attribute | Gemma 2 9B SahabatAI Instruct | Granite 3.1 8B Instruct |
|---|---|---|
| Input price | - | - |
| Output price | - | - |
| Providers | - |
Pricing not yet sourced for either model.
Capabilities
| Capability | Gemma 2 9B SahabatAI Instruct | Granite 3.1 8B Instruct |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | No | No |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint is close: both models cover the core production surface. That makes context budget, benchmark fit, and provider maturity more important than a simple checklist. If your application depends on one integration detail, verify it against the provider route you plan to use, not just the base model listing.
Pricing coverage is uneven: Gemma 2 9B SahabatAI Instruct has no token price sourced yet and Granite 3.1 8B Instruct has no token price sourced yet. Provider availability is 1 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose Gemma 2 9B SahabatAI Instruct when provider fit and broader provider choice are central to the workload. Choose Granite 3.1 8B Instruct when long-context analysis and larger context windows 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, Gemma 2 9B SahabatAI Instruct or Granite 3.1 8B Instruct?
Granite 3.1 8B Instruct supports 128k 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 Gemma 2 9B SahabatAI Instruct or Granite 3.1 8B Instruct open source?
Gemma 2 9B SahabatAI Instruct is listed under Gemma. Granite 3.1 8B Instruct is listed under Apache 2.0. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Where can I run Gemma 2 9B SahabatAI Instruct and Granite 3.1 8B Instruct?
Gemma 2 9B SahabatAI Instruct is available on NVIDIA NIM. Granite 3.1 8B Instruct is available on the tracked providers still being sourced. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Gemma 2 9B SahabatAI Instruct over Granite 3.1 8B Instruct?
Granite 3.1 8B Instruct fits 16x more tokens; pick it for long-context work and Gemma 2 9B SahabatAI Instruct for tighter calls. If your workload also depends on provider fit, start with Gemma 2 9B SahabatAI Instruct; if it depends on long-context analysis, run the same evaluation with Granite 3.1 8B Instruct.
Continue comparing
Last reviewed: 2026-05-19. Data sourced from public model cards and provider documentation.