Granite 3.1 8B Instruct vs Nemotron Mini Hindi 4B Instruct
Granite 3.1 8B Instruct (2024) and Nemotron Mini Hindi 4B Instruct (2024) are compact production models from IBM Research and NVIDIA AI. Granite 3.1 8B Instruct ships a 128K-token context window, while Nemotron Mini Hindi 4B Instruct ships a 4K-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.
Granite 3.1 8B Instruct fits 32x more tokens; pick it for long-context work and Nemotron Mini Hindi 4B Instruct for tighter calls.
Decision scorecard
Local evidence first| Signal | Granite 3.1 8B Instruct | Nemotron Mini Hindi 4B Instruct |
|---|---|---|
| Decision fit | Long context | General |
| Context window | 128K | 4K |
| Cheapest output | - | - |
| Provider routes | 0 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- 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.
- Nemotron Mini Hindi 4B Instruct has broader tracked provider coverage for fallback and procurement flexibility.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output prices on this page.
Granite 3.1 8B Instruct
Unavailable
No complete token price in local provider data
Nemotron Mini Hindi 4B 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 Granite 3.1 8B Instruct and Nemotron Mini Hindi 4B Instruct; plan for SDK, billing, or endpoint changes.
- No overlapping tracked provider route is sourced for Nemotron Mini Hindi 4B Instruct and Granite 3.1 8B Instruct; plan for SDK, billing, or endpoint changes.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-12-18 | 2024-09-01 |
| Context window | 128K | 4K |
| Parameters | 8B | 4B |
| Architecture | Dense decoder-only transformer: 40 layers, 4096 embed, GQA 32/8 heads, RoPE, SwiGLU | decoder only |
| License | Open Source | 1 |
| Knowledge cutoff | 2024-04 | - |
Pricing and availability
| Pricing attribute | Granite 3.1 8B Instruct | Nemotron Mini Hindi 4B Instruct |
|---|---|---|
| Input price | - | - |
| Output price | - | - |
| Providers | - |
Pricing not yet sourced for either model.
Capabilities
| Capability | Granite 3.1 8B Instruct | Nemotron Mini Hindi 4B 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 |
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: Granite 3.1 8B Instruct has no token price sourced yet and Nemotron Mini Hindi 4B Instruct has no token price sourced yet. Provider availability is 0 tracked routes versus 1. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose Granite 3.1 8B Instruct when long-context analysis and larger context windows are central to the workload. Choose Nemotron Mini Hindi 4B Instruct when provider fit and broader provider choice 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, Granite 3.1 8B Instruct or Nemotron Mini Hindi 4B Instruct?
Granite 3.1 8B Instruct supports 128K tokens, while Nemotron Mini Hindi 4B Instruct supports 4K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is Granite 3.1 8B Instruct or Nemotron Mini Hindi 4B Instruct open source?
Granite 3.1 8B Instruct is listed under Open Source. Nemotron Mini Hindi 4B 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.
Where can I run Granite 3.1 8B Instruct and Nemotron Mini Hindi 4B Instruct?
Granite 3.1 8B Instruct is available on the tracked providers still being sourced. Nemotron Mini Hindi 4B Instruct is available on NVIDIA NIM. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Granite 3.1 8B Instruct over Nemotron Mini Hindi 4B Instruct?
Granite 3.1 8B Instruct fits 32x more tokens; pick it for long-context work and Nemotron Mini Hindi 4B Instruct for tighter calls. If your workload also depends on long-context analysis, start with Granite 3.1 8B Instruct; if it depends on provider fit, run the same evaluation with Nemotron Mini Hindi 4B Instruct.
Continue comparing
Last reviewed: 2026-05-19. Data sourced from public model cards and provider documentation.