LLM Reference

Mistral Medium 3 vs Nemotron 3 Ultra

Mistral Medium 3 (2025) and Nemotron 3 Ultra (2024) are compact production models from MistralAI and NVIDIA AI. Mistral Medium 3 ships a 128k-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 Medium 3 is safer overall; choose Nemotron 3 Ultra when provider fit matters.

Decision scorecard

Local evidence first
SignalMistral Medium 3Nemotron 3 Ultra
Best formultimodal apps and tool-calling agentsgeneral production evaluation
Decision fitCoding, RAG, and AgentsLong context
Context window128k128k
Cheapest output--
Provider routes0 tracked0 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Mistral Medium 3 when...
  • Mistral Medium 3 uniquely exposes Vision, Multimodal, and Function calling in local model data.
  • Local decision data tags Mistral Medium 3 for Coding, RAG, and Agents.
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 Medium 3

Unavailable

No complete token price in local provider data

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 Medium 3 -> Nemotron 3 Ultra
  • No overlapping tracked provider route is sourced for Mistral Medium 3 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 Medium 3
  • No overlapping tracked provider route is sourced for Nemotron 3 Ultra and Mistral Medium 3; plan for SDK, billing, or endpoint changes.
  • Mistral Medium 3 adds Vision, Multimodal, and Function calling in local capability data.

Specs

Specification
Released2025-05-012024-09-10
Context window128k128k
Parameters550B (55B active)
Architecturedecoder onlydecoder only
LicenseProprietaryProprietary
Knowledge cutoff2025-03-

Pricing and availability

Pricing attributeMistral Medium 3Nemotron 3 Ultra
Input price--
Output price--
Providers--

Pricing not yet sourced for either model.

Capabilities

CapabilityMistral Medium 3Nemotron 3 Ultra
VisionYesNo
MultimodalYesNo
ReasoningNoNo
Function callingYesNo
Tool useYesNo
Structured outputsYesNo
Code executionYesNo
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 Medium 3, multimodal input: Mistral Medium 3, function calling: Mistral Medium 3, tool use: Mistral Medium 3, structured outputs: Mistral Medium 3, and code execution: Mistral Medium 3. 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 Medium 3 has no token price sourced yet and Nemotron 3 Ultra has no token price sourced yet. Provider availability is 0 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 Medium 3 when coding workflow support 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 Medium 3 or Nemotron 3 Ultra?

Mistral Medium 3 supports 128k 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 Medium 3 or Nemotron 3 Ultra open source?

Mistral Medium 3 is listed under Proprietary. Nemotron 3 Ultra 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, Mistral Medium 3 or Nemotron 3 Ultra?

Mistral Medium 3 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 Medium 3 or Nemotron 3 Ultra?

Mistral Medium 3 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 Medium 3 or Nemotron 3 Ultra?

Mistral Medium 3 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.

When should I pick Mistral Medium 3 over Nemotron 3 Ultra?

Mistral Medium 3 is safer overall; choose Nemotron 3 Ultra when provider fit matters. If your workload also depends on coding workflow support, start with Mistral Medium 3; if it depends on provider fit, run the same evaluation with Nemotron 3 Ultra.

Continue comparing

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