LLM Reference

DeepSeek V3 vs Mistral Nemotron

DeepSeek V3 (2024) and Mistral Nemotron (2025) are compact production models from DeepSeek and MistralAI. DeepSeek V3 ships a 64k-token context window, while Mistral Nemotron ships a not-yet-sourced 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 Nemotron is safer overall; choose DeepSeek V3 when provider fit matters.

Decision scorecard

Local evidence first
SignalDeepSeek V3Mistral Nemotron
Best fortool-calling agents and provider-routed productiongeneral production evaluation
Decision fitCoding, Agents, and ClassificationGeneral
Context window64k
Cheapest output$0.30/1M tokens-
Provider routes13 tracked1 tracked
Shared benchmarks0 shared0 shared

Decision tradeoffs

Choose DeepSeek V3 when...
  • DeepSeek V3 has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • DeepSeek V3 has broader tracked provider coverage for fallback and route flexibility.
  • DeepSeek V3 uniquely exposes JSON / Tool use and Structured outputs in local model data.
  • Local decision data tags DeepSeek V3 for Coding, Agents, and Classification.
Choose Mistral Nemotron when...
  • Use Mistral Nemotron when your own prompt tests beat the comparison signals; the local data does not show a decisive standalone advantage yet.

Monthly cost at traffic

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

DeepSeek V3

$155

Cheapest tracked route/tier: Bitdeer AI

Mistral Nemotron

Unavailable

No complete token price in local provider data

Cost delta unavailable until both models have sourced input and output token prices.

Switch friction

DeepSeek V3 -> Mistral Nemotron
  • Provider overlap exists on NVIDIA NIM; start route-level A/B tests there.
  • Check replacement coverage for JSON / Tool use and Structured outputs before moving production traffic.
Mistral Nemotron -> DeepSeek V3
  • Provider overlap exists on NVIDIA NIM; start route-level A/B tests there.
  • DeepSeek V3 adds JSON / Tool use and Structured outputs in local capability data.

Specs

Specification
Released2024-12-262025-12-01
Context window64k
Parameters671B70B
ArchitectureMixture of ExpertsDecoder Only
LicenseMITOSI-approvedProprietary
OpennessOpen sourceProprietary
WeightsAvailableNot released
CodeUnknownUnknown
Commercial useCommercial use: permitted-
Knowledge cutoff2024-04-

Pricing and availability

Pricing attributeDeepSeek V3Mistral Nemotron
Input price$0.10/1M tokens-
Output price$0.30/1M tokens-
Providers

Capabilities

CapabilityDeepSeek V3Mistral Nemotron
VisionNoNo
MultimodalNoNo
ReasoningNoNo
JSON / Tool useYesNo
Structured outputsYesNo
Code executionNoNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

No shared benchmark scores are currently available for this pair.

Continue comparing

Last reviewed: 2026-06-29. Data sourced from public model cards and provider documentation.