Llama 3.1 Nemotron Nano VL 8B v1 vs Mistral Medium 3 Instruct
Llama 3.1 Nemotron Nano VL 8B v1 (2025) and Mistral Medium 3 Instruct (2025) are compact production models from NVIDIA AI and MistralAI. Llama 3.1 Nemotron Nano VL 8B v1 ships a 4K-token context window, while Mistral Medium 3 Instruct ships a 128K-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.
Mistral Medium 3 Instruct fits 32x more tokens; pick it for long-context work and Llama 3.1 Nemotron Nano VL 8B v1 for tighter calls.
Decision scorecard
Local evidence first| Signal | Llama 3.1 Nemotron Nano VL 8B v1 | Mistral Medium 3 Instruct |
|---|---|---|
| Decision fit | Vision | Long context |
| Context window | 4K | 128K |
| Cheapest output | - | $2/1M tokens |
| Provider routes | 1 tracked | 2 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Llama 3.1 Nemotron Nano VL 8B v1 uniquely exposes Vision and Multimodal in local model data.
- Local decision data tags Llama 3.1 Nemotron Nano VL 8B v1 for Vision.
- 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 procurement flexibility.
- Local decision data tags Mistral Medium 3 Instruct for Long context.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output prices on this page.
Llama 3.1 Nemotron Nano VL 8B v1
Unavailable
No complete token price in local provider data
Mistral Medium 3 Instruct
$820
Cheapest tracked route: 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.
- Check replacement coverage for Vision and Multimodal before moving production traffic.
- Provider overlap exists on NVIDIA NIM; start route-level A/B tests there.
- Llama 3.1 Nemotron Nano VL 8B v1 adds Vision and Multimodal in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-03-01 | 2025-10-01 |
| Context window | 4K | 128K |
| Parameters | 8B | — |
| Architecture | decoder only | decoder only |
| License | 1 | 1 |
| Knowledge cutoff | - | 2025-03 |
Pricing and availability
| Pricing attribute | Llama 3.1 Nemotron Nano VL 8B v1 | Mistral Medium 3 Instruct |
|---|---|---|
| Input price | - | $0.4/1M tokens |
| Output price | - | $2/1M tokens |
| Providers |
Capabilities
| Capability | Llama 3.1 Nemotron Nano VL 8B v1 | Mistral Medium 3 Instruct |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | 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 differs most on vision: Llama 3.1 Nemotron Nano VL 8B v1 and multimodal input: Llama 3.1 Nemotron Nano VL 8B v1. 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: Llama 3.1 Nemotron Nano VL 8B v1 has no token price sourced yet and Mistral Medium 3 Instruct has $0.4/1M input tokens. Provider availability is 1 tracked routes versus 2. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose Llama 3.1 Nemotron Nano VL 8B v1 when vision-heavy evaluation are central to the workload. Choose Mistral Medium 3 Instruct when long-context analysis, larger context windows, 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.
FAQ
Which has a larger context window, Llama 3.1 Nemotron Nano VL 8B v1 or Mistral Medium 3 Instruct?
Mistral Medium 3 Instruct supports 128K tokens, while Llama 3.1 Nemotron Nano VL 8B v1 supports 4K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is Llama 3.1 Nemotron Nano VL 8B v1 or Mistral Medium 3 Instruct open source?
Llama 3.1 Nemotron Nano VL 8B v1 is listed under 1. Mistral Medium 3 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 vision, Llama 3.1 Nemotron Nano VL 8B v1 or Mistral Medium 3 Instruct?
Llama 3.1 Nemotron Nano VL 8B v1 has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for multimodal input, Llama 3.1 Nemotron Nano VL 8B v1 or Mistral Medium 3 Instruct?
Llama 3.1 Nemotron Nano VL 8B v1 has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run Llama 3.1 Nemotron Nano VL 8B v1 and Mistral Medium 3 Instruct?
Llama 3.1 Nemotron Nano VL 8B v1 is available on NVIDIA NIM. Mistral Medium 3 Instruct is available on NVIDIA NIM and Mistral AI Studio. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Llama 3.1 Nemotron Nano VL 8B v1 over Mistral Medium 3 Instruct?
Mistral Medium 3 Instruct fits 32x more tokens; pick it for long-context work and Llama 3.1 Nemotron Nano VL 8B v1 for tighter calls. If your workload also depends on vision-heavy evaluation, start with Llama 3.1 Nemotron Nano VL 8B v1; if it depends on long-context analysis, run the same evaluation with Mistral Medium 3 Instruct.
Continue comparing
Last reviewed: 2026-05-19. Data sourced from public model cards and provider documentation.