Mistral Small 4 vs Nemotron-Nano-9B-v2
Mistral Small 4 (2026) and Nemotron-Nano-9B-v2 (2025) are general-purpose language models from MistralAI and NVIDIA AI. Mistral Small 4 ships a 256K-token context window, while Nemotron-Nano-9B-v2 ships a not-yet-sourced context window. On pricing, Nemotron-Nano-9B-v2 costs $0.04/1M input tokens versus $0.15/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing.
Nemotron-Nano-9B-v2 is ~275% cheaper at $0.04/1M; pay for Mistral Small 4 only for vision-heavy evaluation.
Decision scorecard
Local evidence first| Signal | Mistral Small 4 | Nemotron-Nano-9B-v2 |
|---|---|---|
| Decision fit | RAG, Agents, and Long context | Classification and JSON / Tool use |
| Context window | 256K | — |
| Cheapest output | $0.6/1M tokens | $0.16/1M tokens |
| Provider routes | 3 tracked | 2 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Mistral Small 4 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Mistral Small 4 has broader tracked provider coverage for fallback and procurement flexibility.
- Mistral Small 4 uniquely exposes Vision, Multimodal, and Function calling in local model data.
- Local decision data tags Mistral Small 4 for RAG, Agents, and Long context.
- Nemotron-Nano-9B-v2 has the lower cheapest tracked output price at $0.16/1M tokens.
- Nemotron-Nano-9B-v2 uniquely exposes Structured outputs in local model data.
- Local decision data tags Nemotron-Nano-9B-v2 for Classification and JSON / Tool use.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output prices on this page.
Mistral Small 4
$270
Cheapest tracked route: OpenRouter
Nemotron-Nano-9B-v2
$72.00
Cheapest tracked route: OpenRouter
Estimated monthly gap: $198. 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-9B-v2 is $0.44/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision, Multimodal, and Function calling before moving production traffic.
- Nemotron-Nano-9B-v2 adds Structured outputs in local capability data.
- Provider overlap exists on OpenRouter and NVIDIA NIM; start route-level A/B tests there.
- Mistral Small 4 is $0.44/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Structured outputs before moving production traffic.
- Mistral Small 4 adds Vision, Multimodal, and Function calling in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-03-16 | 2025-08-18 |
| Context window | 256K | — |
| Parameters | 119B (6.5B active) | 9B |
| Architecture | moe | decoder only |
| License | Apache 2.0 | Unknown |
| Knowledge cutoff | 2025-06 | 2025-03 |
Pricing and availability
| Pricing attribute | Mistral Small 4 | Nemotron-Nano-9B-v2 |
|---|---|---|
| Input price | $0.15/1M tokens | $0.04/1M tokens |
| Output price | $0.6/1M tokens | $0.16/1M tokens |
| Providers |
Capabilities
| Capability | Mistral Small 4 | Nemotron-Nano-9B-v2 |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | No | No |
| Function calling | Yes | No |
| Tool use | Yes | No |
| Structured outputs | No | Yes |
| Code execution | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on vision: Mistral Small 4, multimodal input: Mistral Small 4, function calling: Mistral Small 4, tool use: Mistral Small 4, and structured outputs: Nemotron-Nano-9B-v2. 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.
For cost, Mistral Small 4 lists $0.15/1M input and $0.6/1M output tokens, while Nemotron-Nano-9B-v2 lists $0.04/1M input and $0.16/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Nemotron-Nano-9B-v2 lower by about $0.21 per million blended tokens. Availability is 3 providers versus 2, so concentration risk also matters.
Choose Mistral Small 4 when vision-heavy evaluation and broader provider choice are central to the workload. Choose Nemotron-Nano-9B-v2 when provider fit and lower input-token cost 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 4 or Nemotron-Nano-9B-v2?
Nemotron-Nano-9B-v2 is cheaper on tracked token pricing. Mistral Small 4 costs $0.15/1M input and $0.6/1M output tokens. Nemotron-Nano-9B-v2 costs $0.04/1M input and $0.16/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Mistral Small 4 or Nemotron-Nano-9B-v2 open source?
Mistral Small 4 is listed under Apache 2.0. Nemotron-Nano-9B-v2 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 4 or Nemotron-Nano-9B-v2?
Mistral Small 4 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, Mistral Small 4 or Nemotron-Nano-9B-v2?
Mistral Small 4 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.
Which is better for function calling, Mistral Small 4 or Nemotron-Nano-9B-v2?
Mistral Small 4 has the clearer documented function calling signal in this comparison. If function calling is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run Mistral Small 4 and Nemotron-Nano-9B-v2?
Mistral Small 4 is available on OpenRouter, NVIDIA NIM, and Mistral AI Studio. Nemotron-Nano-9B-v2 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.