Mistral Medium vs Nemotron 3 Ultra
Mistral Medium (2023) and Nemotron 3 Ultra (2024) are compact production models from MistralAI and NVIDIA AI. Mistral Medium ships a 32k-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.
Nemotron 3 Ultra fits 4x more tokens; pick it for long-context work and Mistral Medium for tighter calls.
Decision scorecard
Local evidence first| Signal | Mistral Medium | Nemotron 3 Ultra |
|---|---|---|
| Best for | provider-routed production | general production evaluation |
| Decision fit | Coding, Classification, and JSON / Tool use | Long context |
| Context window | 32k | 128k |
| Cheapest output | $2/1M tokens | - |
| Provider routes | 2 tracked | 0 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Mistral Medium has broader tracked provider coverage for fallback and procurement flexibility.
- Mistral Medium uniquely exposes Structured outputs in local model data.
- Local decision data tags Mistral Medium for Coding, Classification, and JSON / Tool use.
- Nemotron 3 Ultra has the larger context window for long prompts, retrieval packs, or transcript analysis.
- 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
$820
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
- No overlapping tracked provider route is sourced for Mistral Medium and Nemotron 3 Ultra; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Structured outputs before moving production traffic.
- No overlapping tracked provider route is sourced for Nemotron 3 Ultra and Mistral Medium; plan for SDK, billing, or endpoint changes.
- Mistral Medium adds Structured outputs in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2023-12-11 | 2024-09-10 |
| Context window | 32k | 128k |
| Parameters | — | 550B (55B active) |
| Architecture | decoder only | decoder only |
| License | Apache 2.0 | Proprietary |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Mistral Medium | Nemotron 3 Ultra |
|---|---|---|
| Input price | $0.40/1M tokens | - |
| Output price | $2/1M tokens | - |
| Providers | - |
Capabilities
| Capability | Mistral Medium | Nemotron 3 Ultra |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | Yes | No |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on structured outputs: Mistral Medium. 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 has $0.40/1M input tokens and Nemotron 3 Ultra has no token price sourced yet. Provider availability is 2 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 when provider fit and broader provider choice are central to the workload. Choose Nemotron 3 Ultra when long-context analysis and larger context windows 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. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.
FAQ
Which has a larger context window, Mistral Medium or Nemotron 3 Ultra?
Nemotron 3 Ultra supports 128k tokens, while Mistral Medium supports 32k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is Mistral Medium or Nemotron 3 Ultra open source?
Mistral Medium is listed under Apache 2.0. 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 structured outputs, Mistral Medium or Nemotron 3 Ultra?
Mistral Medium has the clearer documented structured outputs signal in this comparison. If structured outputs is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run Mistral Medium and Nemotron 3 Ultra?
Mistral Medium is available on Mistral AI Studio and OpenRouter. Nemotron 3 Ultra is available on the tracked providers still being sourced. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Mistral Medium over Nemotron 3 Ultra?
Nemotron 3 Ultra fits 4x more tokens; pick it for long-context work and Mistral Medium for tighter calls. If your workload also depends on provider fit, start with Mistral Medium; if it depends on long-context analysis, run the same evaluation with Nemotron 3 Ultra.
Continue comparing
Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.