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Mistral Medium 3.5 vs Mistral Nemotron

Mistral Medium 3.5 (2026) and Mistral Nemotron (2025) are frontier reasoning models from MistralAI. Mistral Medium 3.5 ships a 256K-token context window, while Mistral Nemotron ships a not-yet-sourced context window. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing. The goal is to make the tradeoff clear before deeper testing.

Mistral Medium 3.5 is safer overall; choose Mistral Nemotron when provider fit matters.

Specs

Specification
Released2026-04-292025-12-01
Context window256K
Parameters128B
Architecturedecoder onlydecoder only
LicenseMistral License1
Knowledge cutoff--

Pricing and availability

Pricing attributeMistral Medium 3.5Mistral Nemotron
Input price$1.5/1M tokens-
Output price$7.5/1M tokens-
Providers

Capabilities

CapabilityMistral Medium 3.5Mistral Nemotron
VisionYesNo
MultimodalYesNo
ReasoningYesNo
Function callingYesNo
Tool useYesNo
Structured outputsYesNo
Code executionNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on vision: Mistral Medium 3.5, multimodal input: Mistral Medium 3.5, reasoning mode: Mistral Medium 3.5, function calling: Mistral Medium 3.5, tool use: Mistral Medium 3.5, and structured outputs: Mistral Medium 3.5. 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 3.5 has $1.5/1M input tokens and Mistral Nemotron has no token price sourced yet. Provider availability is 1 tracked routes versus 1. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose Mistral Medium 3.5 when reasoning depth are central to the workload. Choose Mistral Nemotron 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

Is Mistral Medium 3.5 or Mistral Nemotron open source?

Mistral Medium 3.5 is listed under Mistral License. Mistral Nemotron is listed under 1. 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 3.5 or Mistral Nemotron?

Mistral Medium 3.5 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 3.5 or Mistral Nemotron?

Mistral Medium 3.5 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 reasoning mode, Mistral Medium 3.5 or Mistral Nemotron?

Mistral Medium 3.5 has the clearer documented reasoning mode signal in this comparison. If reasoning mode 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 3.5 or Mistral Nemotron?

Mistral Medium 3.5 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 Medium 3.5 and Mistral Nemotron?

Mistral Medium 3.5 is available on Mistral AI Studio. Mistral Nemotron is available on NVIDIA NIM. Provider coverage can affect latency, region availability, compliance posture, and fallback options. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.

Continue comparing

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