Llama 3.1 Nemotron Nano 4B v1.1 vs Marin 8B Instruct
Llama 3.1 Nemotron Nano 4B v1.1 (2025) and Marin 8B Instruct (2025) are compact production models from NVIDIA AI and Marin. Llama 3.1 Nemotron Nano 4B v1.1 ships a 4k-token context window, while Marin 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.
Marin 8B Instruct fits 32x more tokens; pick it for long-context work and Llama 3.1 Nemotron Nano 4B v1.1 for tighter calls.
Decision scorecard
Local evidence first| Signal | Llama 3.1 Nemotron Nano 4B v1.1 | Marin 8B Instruct |
|---|---|---|
| Best for | general production evaluation | general production evaluation |
| Decision fit | General | Long context |
| Context window | 4k | 128k |
| Cheapest output | - | - |
| Provider routes | 1 tracked | 1 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Use Llama 3.1 Nemotron Nano 4B v1.1 when your own prompt tests beat the comparison signals; the local data does not show a decisive standalone advantage yet.
- Marin 8B Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Local decision data tags Marin 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.
Llama 3.1 Nemotron Nano 4B v1.1
Unavailable
No complete token price in local provider data
Marin 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
- Provider overlap exists on NVIDIA NIM; start route-level A/B tests there.
- Provider overlap exists on NVIDIA NIM; start route-level A/B tests there.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-04-01 | 2025-09-01 |
| Context window | 4k | 128k |
| Parameters | 4B | 8B |
| Architecture | Decoder Only | Decoder Only |
| License | Llama 3 Community | Apache 2.0OSI-approved |
| Openness | Open weights | Open source |
| Weights | Unknown | Unknown |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: conditional | Commercial use: permitted |
| Knowledge cutoff | - | 2024-07 |
Pricing and availability
| Pricing attribute | Llama 3.1 Nemotron Nano 4B v1.1 | Marin 8B Instruct |
|---|---|---|
| Input price | - | - |
| Output price | - | - |
| Providers |
Pricing not yet sourced for either model.
Capabilities
| Capability | Llama 3.1 Nemotron Nano 4B v1.1 | Marin 8B Instruct |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| JSON / 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 scores are currently available for this pair.
Continue comparing
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Last reviewed: 2026-09-08. Data sourced from public model cards and provider documentation.