LLM Reference

Mistral Medium 3.5 vs Nemotron-Nano-9B-v2

Mistral Medium 3.5 (2026) and Nemotron-Nano-9B-v2 (2025) are frontier reasoning models from MistralAI and NVIDIA AI. Mistral Medium 3.5 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 $1.5/1M 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 ~3650% cheaper at $0.04/1M; pay for Mistral Medium 3.5 only for reasoning depth.

Decision scorecard

Local evidence first
SignalMistral Medium 3.5Nemotron-Nano-9B-v2
Decision fitCoding, RAG, and AgentsClassification and JSON / Tool use
Context window256K
Cheapest output$7.5/1M tokens$0.16/1M tokens
Provider routes2 tracked2 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Mistral Medium 3.5 when...
  • Mistral Medium 3.5 has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Mistral Medium 3.5 uniquely exposes Vision, Multimodal, and Reasoning in local model data.
  • Local decision data tags Mistral Medium 3.5 for Coding, RAG, and Agents.
Choose Nemotron-Nano-9B-v2 when...
  • Nemotron-Nano-9B-v2 has the lower cheapest tracked output price at $0.16/1M tokens.
  • 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.

Lower estimate Nemotron-Nano-9B-v2

Mistral Medium 3.5

$3,075

Cheapest tracked route: Mistral AI Studio

Nemotron-Nano-9B-v2

$72.00

Cheapest tracked route: OpenRouter

Estimated monthly gap: $3,003. Batch, cache, and negotiated pricing are excluded from this local estimate.

Switch friction

Mistral Medium 3.5 -> Nemotron-Nano-9B-v2
  • Provider overlap exists on OpenRouter; start route-level A/B tests there.
  • Nemotron-Nano-9B-v2 is $7.34/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • Check replacement coverage for Vision, Multimodal, and Reasoning before moving production traffic.
Nemotron-Nano-9B-v2 -> Mistral Medium 3.5
  • Provider overlap exists on OpenRouter; start route-level A/B tests there.
  • Mistral Medium 3.5 is $7.34/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • Mistral Medium 3.5 adds Vision, Multimodal, and Reasoning in local capability data.

Specs

Specification
Released2026-04-292025-08-18
Context window256K
Parameters128B9B
Architecturedecoder onlydecoder only
LicenseMistral LicenseUnknown
Knowledge cutoff-2025-03

Pricing and availability

Pricing attributeMistral Medium 3.5Nemotron-Nano-9B-v2
Input price$1.5/1M tokens$0.04/1M tokens
Output price$7.5/1M tokens$0.16/1M tokens
Providers

Capabilities

CapabilityMistral Medium 3.5Nemotron-Nano-9B-v2
VisionYesNo
MultimodalYesNo
ReasoningYesNo
Function callingYesNo
Tool useYesNo
Structured outputsYesYes
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, and tool use: Mistral Medium 3.5. Both models share structured outputs, 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 Medium 3.5 lists $1.5/1M input and $7.5/1M 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 $3.22 per million blended tokens. Availability is 2 providers versus 2, so concentration risk also matters.

Choose Mistral Medium 3.5 when reasoning depth 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 Medium 3.5 or Nemotron-Nano-9B-v2?

Nemotron-Nano-9B-v2 is cheaper on tracked token pricing. Mistral Medium 3.5 costs $1.5/1M input and $7.5/1M 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 Medium 3.5 or Nemotron-Nano-9B-v2 open source?

Mistral Medium 3.5 is listed under Mistral License. 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 Medium 3.5 or Nemotron-Nano-9B-v2?

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 Nemotron-Nano-9B-v2?

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 Nemotron-Nano-9B-v2?

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.

Where can I run Mistral Medium 3.5 and Nemotron-Nano-9B-v2?

Mistral Medium 3.5 is available on Mistral AI Studio and OpenRouter. 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.