Llama 3.1 Nemotron Nano 4B v1.1 vs Mistral Medium 3 Instruct
Llama 3.1 Nemotron Nano 4B v1.1 (2025) and Mistral Medium 3 Instruct (2025) are compact production models from NVIDIA AI and MistralAI. Llama 3.1 Nemotron Nano 4B v1.1 ships a 4k-token context window, while Mistral Medium 3 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.
Mistral Medium 3 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 | Mistral Medium 3 Instruct |
|---|---|---|
| Best for | general production evaluation | multimodal apps and provider-routed production |
| Decision fit | General | Long context and Vision |
| Context window | 4k | 128k |
| Cheapest output | - | $2/1M tokens |
| Provider routes | 1 tracked | 2 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.
- Mistral Medium 3 Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Mistral Medium 3 Instruct has broader tracked provider coverage for fallback and route flexibility.
- Mistral Medium 3 Instruct uniquely exposes Vision and Multimodal in local model data.
- Local decision data tags Mistral Medium 3 Instruct for Long context and Vision.
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
Mistral Medium 3 Instruct
$820
Cheapest tracked route/tier: Mistral AI Studio
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.
- Mistral Medium 3 Instruct adds Vision and Multimodal in local capability data.
- Provider overlap exists on NVIDIA NIM; start route-level A/B tests there.
- Check replacement coverage for Vision and Multimodal before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-04-01 | 2025-10-01 |
| Context window | 4k | 128k |
| Parameters | 4B | — |
| Architecture | Decoder Only | Decoder Only |
| License | Llama 3 Community | Proprietary |
| Openness | Open weights | Proprietary |
| Weights | Unknown | Not released |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: conditional | Commercial use: conditional |
| Knowledge cutoff | - | 2025-03 |
Pricing and availability
| Pricing attribute | Llama 3.1 Nemotron Nano 4B v1.1 | Mistral Medium 3 Instruct |
|---|---|---|
| Input price | - | $0.40/1M tokens |
| Output price | - | $2/1M tokens |
| Providers |
Capabilities
| Capability | Llama 3.1 Nemotron Nano 4B v1.1 | Mistral Medium 3 Instruct |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| 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.
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Last reviewed: 2026-06-15. Data sourced from public model cards and provider documentation.