LLM Reference

Mistral Medium 3 Instruct vs Nemotron 4 340B

Mistral Medium 3 Instruct (2025) and Nemotron 4 340B (2025) are compact production models from MistralAI and NVIDIA AI. Mistral Medium 3 Instruct ships a 128k-token context window, while Nemotron 4 340B ships a 4k-token context window. On pricing, Mistral Medium 3 Instruct costs $0.40/1M input tokens versus $4.20/1M for the alternative. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.

Mistral Medium 3 Instruct is ~950% cheaper at $0.40/1M; pay for Nemotron 4 340B only for provider fit.

Decision scorecard

Local evidence first
SignalMistral Medium 3 InstructNemotron 4 340B
Best formultimodal apps and provider-routed productionprovider-routed production
Decision fitLong context and VisionClassification and JSON / Tool use
Context window128k4k
Cheapest output$2/1M tokens$4.20/1M tokens
Provider routes2 tracked2 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Mistral Medium 3 Instruct when...
  • Mistral Medium 3 Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Mistral Medium 3 Instruct has the lower cheapest tracked output price at $2/1M tokens.
  • Mistral Medium 3 Instruct uniquely exposes Vision and Multimodal in local model data.
  • Local decision data tags Mistral Medium 3 Instruct for Long context and Vision.
Choose Nemotron 4 340B when...
  • Nemotron 4 340B uniquely exposes Structured outputs in local model data.
  • Local decision data tags Nemotron 4 340B for Classification and JSON / Tool use.

Monthly cost at traffic

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

Lower estimate Mistral Medium 3 Instruct

Mistral Medium 3 Instruct

$820

Cheapest tracked route/tier: Mistral AI Studio

Nemotron 4 340B

$4,410

Cheapest tracked route/tier: DeepInfra

Estimated monthly gap: $3,590. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

Mistral Medium 3 Instruct -> Nemotron 4 340B
  • Provider overlap exists on NVIDIA NIM; start route-level A/B tests there.
  • Nemotron 4 340B is $2.20/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • Check replacement coverage for Vision and Multimodal before moving production traffic.
  • Nemotron 4 340B adds Structured outputs in local capability data.
Nemotron 4 340B -> Mistral Medium 3 Instruct
  • Provider overlap exists on NVIDIA NIM; start route-level A/B tests there.
  • Mistral Medium 3 Instruct is $2.20/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • Check replacement coverage for Structured outputs before moving production traffic.
  • Mistral Medium 3 Instruct adds Vision and Multimodal in local capability data.

Specs

Specification
Released2025-10-012025-02-27
Context window128k4k
Parameters340B
Architecturedecoder onlydecoder only
LicenseProprietaryNVIDIA Open Model
OpennessProprietaryOpen weights
Commercial useCommercial use with conditionsCommercial use allowed
Knowledge cutoff2025-03-

Pricing and availability

Pricing attributeMistral Medium 3 InstructNemotron 4 340B
Input price$0.40/1M tokens$4.20/1M tokens
Output price$2/1M tokens$4.20/1M tokens
Providers

Capabilities

CapabilityMistral Medium 3 InstructNemotron 4 340B
VisionYesNo
MultimodalYesNo
ReasoningNoNo
Function callingNoNo
Tool useNoNo
Structured outputsNoYes
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 Medium 3 Instruct, multimodal input: Mistral Medium 3 Instruct, and structured outputs: Nemotron 4 340B. 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.

For cost, Mistral Medium 3 Instruct lists $0.40/1M input and $2/1M output tokens on the cheapest tracked provider, while Nemotron 4 340B lists $4.20/1M input and $4.20/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Mistral Medium 3 Instruct lower by about $3.32 per million blended tokens. Availability is 2 providers versus 2, so concentration risk also matters.

Choose Mistral Medium 3 Instruct when long-context analysis, larger context windows, and lower input-token cost are central to the workload. Choose Nemotron 4 340B 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.

FAQ

Which has a larger context window, Mistral Medium 3 Instruct or Nemotron 4 340B?

Mistral Medium 3 Instruct supports 128k tokens, while Nemotron 4 340B supports 4k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Which is cheaper, Mistral Medium 3 Instruct or Nemotron 4 340B?

Mistral Medium 3 Instruct is cheaper on tracked token pricing. Mistral Medium 3 Instruct costs $0.40/1M input and $2/1M output tokens. Nemotron 4 340B costs $4.20/1M input and $4.20/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is Mistral Medium 3 Instruct or Nemotron 4 340B open source?

Mistral Medium 3 Instruct is listed under Proprietary. Nemotron 4 340B 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 Medium 3 Instruct or Nemotron 4 340B?

Mistral Medium 3 Instruct 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 Instruct or Nemotron 4 340B?

Mistral Medium 3 Instruct 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.

Where can I run Mistral Medium 3 Instruct and Nemotron 4 340B?

Mistral Medium 3 Instruct is available on NVIDIA NIM and Mistral AI Studio. Nemotron 4 340B is available on NVIDIA NIM and DeepInfra. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

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Last reviewed: 2026-06-04. Data sourced from public model cards and provider documentation.