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, 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 VL 8B v1 for tighter calls.
Decision scorecard
Local evidence first| Signal | Llama 3.1 Nemotron Nano VL 8B v1 | Mistral Medium 3 Instruct |
|---|---|---|
| Best for | multimodal apps | multimodal apps and provider-routed production |
| Decision fit | Vision | 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
- 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 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 VL 8B v1
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.
- Provider overlap exists on NVIDIA NIM; start route-level A/B tests there.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-03-01 | 2025-10-01 |
| Context window | 4k | 128k |
| Parameters | 8B | — |
| 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 VL 8B v1 | Mistral Medium 3 Instruct |
|---|---|---|
| Input price | - | $0.40/1M tokens |
| Output price | - | $2/1M tokens |
| Providers |
Capabilities
| Capability | Llama 3.1 Nemotron Nano VL 8B v1 | Mistral Medium 3 Instruct |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| 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 scores are currently available for this pair.
Deep dive
The capability footprint is close: both models cover vision and multimodal input. 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: Llama 3.1 Nemotron Nano VL 8B v1 has no token price sourced yet and Mistral Medium 3 Instruct has $0.40/1M 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. It also helps separate model capability from provider packaging, which can change cost and latency.
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 Llama 3 Community. Mistral Medium 3 Instruct is listed under Proprietary. 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?
Both Llama 3.1 Nemotron Nano VL 8B v1 and Mistral Medium 3 Instruct expose vision. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Which is better for multimodal input, Llama 3.1 Nemotron Nano VL 8B v1 or Mistral Medium 3 Instruct?
Both Llama 3.1 Nemotron Nano VL 8B v1 and Mistral Medium 3 Instruct expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
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.
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Last reviewed: 2026-06-15. Data sourced from public model cards and provider documentation.