Mistral Small 3.1 24B Instruct vs Nemotron-Nano-12B-v2-VL
Mistral Small 3.1 24B Instruct (2025) and Nemotron-Nano-12B-v2-VL (2025) are compact production models from MistralAI and NVIDIA AI. Mistral Small 3.1 24B Instruct ships a 128K-token context window, while Nemotron-Nano-12B-v2-VL ships a not-yet-sourced context window. On pricing, Mistral Small 3.1 24B Instruct costs $0.1/1M input tokens versus $0.2/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Mistral Small 3.1 24B Instruct is ~100% cheaper at $0.1/1M; pay for Nemotron-Nano-12B-v2-VL only for vision-heavy evaluation.
Decision scorecard
Local evidence first| Signal | Mistral Small 3.1 24B Instruct | Nemotron-Nano-12B-v2-VL |
|---|---|---|
| Decision fit | RAG, Long context, and Vision | Vision and JSON / Tool use |
| Context window | 128K | — |
| Cheapest output | $0.3/1M tokens | $0.6/1M tokens |
| Provider routes | 5 tracked | 2 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Mistral Small 3.1 24B Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Mistral Small 3.1 24B Instruct has the lower cheapest tracked output price at $0.3/1M tokens.
- Mistral Small 3.1 24B Instruct has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags Mistral Small 3.1 24B Instruct for RAG, Long context, and Vision.
- Local decision data tags Nemotron-Nano-12B-v2-VL for Vision and JSON / Tool use.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output prices on this page.
Mistral Small 3.1 24B Instruct
$155
Cheapest tracked route: Together AI
Nemotron-Nano-12B-v2-VL
$310
Cheapest tracked route: OpenRouter
Estimated monthly gap: $155. Batch, cache, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on NVIDIA NIM and OpenRouter; start route-level A/B tests there.
- Nemotron-Nano-12B-v2-VL is $0.3/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Provider overlap exists on OpenRouter and NVIDIA NIM; start route-level A/B tests there.
- Mistral Small 3.1 24B Instruct is $0.3/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-12-15 | 2025-10-28 |
| Context window | 128K | — |
| Parameters | 24B | 12B |
| Architecture | dense | decoder only |
| License | Apache 2.0 | Unknown |
| Knowledge cutoff | 2023-10 | - |
Pricing and availability
| Pricing attribute | Mistral Small 3.1 24B Instruct | Nemotron-Nano-12B-v2-VL |
|---|---|---|
| Input price | $0.1/1M tokens | $0.2/1M tokens |
| Output price | $0.3/1M tokens | $0.6/1M tokens |
| Providers |
Capabilities
| Capability | Mistral Small 3.1 24B Instruct | Nemotron-Nano-12B-v2-VL |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | Yes | Yes |
| 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 vision, multimodal input, and structured outputs. 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.
For cost, Mistral Small 3.1 24B Instruct lists $0.1/1M input and $0.3/1M output tokens, while Nemotron-Nano-12B-v2-VL lists $0.2/1M input and $0.6/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Mistral Small 3.1 24B Instruct lower by about $0.16 per million blended tokens. Availability is 5 providers versus 2, so concentration risk also matters.
Choose Mistral Small 3.1 24B Instruct when vision-heavy evaluation, lower input-token cost, and broader provider choice are central to the workload. Choose Nemotron-Nano-12B-v2-VL when vision-heavy evaluation 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 is cheaper, Mistral Small 3.1 24B Instruct or Nemotron-Nano-12B-v2-VL?
Mistral Small 3.1 24B Instruct is cheaper on tracked token pricing. Mistral Small 3.1 24B Instruct costs $0.1/1M input and $0.3/1M output tokens. Nemotron-Nano-12B-v2-VL costs $0.2/1M input and $0.6/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Mistral Small 3.1 24B Instruct or Nemotron-Nano-12B-v2-VL open source?
Mistral Small 3.1 24B Instruct is listed under Apache 2.0. Nemotron-Nano-12B-v2-VL is listed under Unknown. 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, Mistral Small 3.1 24B Instruct or Nemotron-Nano-12B-v2-VL?
Both Mistral Small 3.1 24B Instruct and Nemotron-Nano-12B-v2-VL 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, Mistral Small 3.1 24B Instruct or Nemotron-Nano-12B-v2-VL?
Both Mistral Small 3.1 24B Instruct and Nemotron-Nano-12B-v2-VL expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Which is better for structured outputs, Mistral Small 3.1 24B Instruct or Nemotron-Nano-12B-v2-VL?
Both Mistral Small 3.1 24B Instruct and Nemotron-Nano-12B-v2-VL expose structured outputs. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Where can I run Mistral Small 3.1 24B Instruct and Nemotron-Nano-12B-v2-VL?
Mistral Small 3.1 24B Instruct is available on OpenRouter, Fireworks AI, NVIDIA NIM, Together AI, and Mistral AI Studio. Nemotron-Nano-12B-v2-VL is available on NVIDIA NIM and OpenRouter. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-05-19. Data sourced from public model cards and provider documentation.