LLM Reference

Mistral Small 4 vs Nemotron 3 Ultra

Mistral Small 4 (2026) and Nemotron 3 Ultra (2024) are compact production models from MistralAI and NVIDIA AI. Mistral Small 4 ships a 256k-token context window, while Nemotron 3 Ultra 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. It focuses on practical selection signals rather than broad model-family marketing.

Mistral Small 4 is safer overall; choose Nemotron 3 Ultra when provider fit matters.

Decision scorecard

Local evidence first
SignalMistral Small 4Nemotron 3 Ultra
Best formultimodal apps, tool-calling agents, and provider-routed productiongeneral production evaluation
Decision fitRAG, Agents, and Long contextLong context
Context window256k128k
Cheapest output$0.60/1M tokens-
Provider routes3 tracked0 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Mistral Small 4 when...
  • 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.
Choose Nemotron 3 Ultra when...
  • Local decision data tags Nemotron 3 Ultra for Long context.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output route or tier on this page.

Mistral Small 4

$270

Cheapest tracked route/tier: OpenRouter

Nemotron 3 Ultra

Unavailable

No complete token price in local provider data

Cost delta unavailable until both models have sourced input and output token prices.

Switch friction

Mistral Small 4 -> Nemotron 3 Ultra
  • No overlapping tracked provider route is sourced for Mistral Small 4 and Nemotron 3 Ultra; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Vision, Multimodal, and Function calling before moving production traffic.
Nemotron 3 Ultra -> Mistral Small 4
  • No overlapping tracked provider route is sourced for Nemotron 3 Ultra and Mistral Small 4; plan for SDK, billing, or endpoint changes.
  • Mistral Small 4 adds Vision, Multimodal, and Function calling in local capability data.

Specs

Specification
Released2026-03-162024-09-10
Context window256k128k
Parameters119B (6.5B active)550B (55B active)
Architecturemoedecoder only
LicenseApache 2.0(OSI)NVIDIA Open Model
OpennessOpen sourceOpen weights
Commercial useCommercial use allowedCommercial use allowed
Knowledge cutoff2025-06-

Pricing and availability

Pricing attributeMistral Small 4Nemotron 3 Ultra
Input price$0.15/1M tokens-
Output price$0.60/1M tokens-
Providers-

Capabilities

CapabilityMistral Small 4Nemotron 3 Ultra
VisionYesNo
MultimodalYesNo
ReasoningNoNo
Function callingYesNo
Tool useYesNo
Structured outputsNoNo
Code executionNoNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

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, and tool use: Mistral Small 4. 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: Mistral Small 4 has $0.15/1M input tokens and Nemotron 3 Ultra has no token price sourced yet. Provider availability is 3 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose Mistral Small 4 when long-context analysis, larger context windows, and broader provider choice are central to the workload. Choose Nemotron 3 Ultra when provider fit 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, Mistral Small 4 or Nemotron 3 Ultra?

Mistral Small 4 supports 256k tokens, while Nemotron 3 Ultra supports 128k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Is Mistral Small 4 or Nemotron 3 Ultra open source?

Mistral Small 4 is listed under Apache 2.0. Nemotron 3 Ultra is listed under NVIDIA Open Model. 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 3 Ultra?

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 3 Ultra?

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 3 Ultra?

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 3 Ultra?

Mistral Small 4 is available on OpenRouter, NVIDIA NIM, and Mistral AI Studio. Nemotron 3 Ultra is available on the tracked providers still being sourced. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.