LLM Reference

Mistral Large 3 675B Instruct vs Nemotron Mini Hindi 4B Instruct

Mistral Large 3 675B Instruct (2025) and Nemotron Mini Hindi 4B Instruct (2024) are compact production models from MistralAI and NVIDIA AI. Mistral Large 3 675B Instruct ships a 128k-token context window, while Nemotron Mini Hindi 4B Instruct ships a 4k-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.

Mistral Large 3 675B Instruct fits 32x more tokens; pick it for long-context work and Nemotron Mini Hindi 4B Instruct for tighter calls.

Decision scorecard

Local evidence first
SignalMistral Large 3 675B InstructNemotron Mini Hindi 4B Instruct
Best formultimodal apps and provider-routed productiongeneral production evaluation
Decision fitCoding, RAG, and AgentsGeneral
Context window128k4k
Cheapest output$1.50/1M tokens-
Provider routes6 tracked1 tracked
Shared benchmarks0 shared0 shared

Decision tradeoffs

Choose Mistral Large 3 675B Instruct when...
  • Mistral Large 3 675B Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Mistral Large 3 675B Instruct has broader tracked provider coverage for fallback and procurement flexibility.
  • Mistral Large 3 675B Instruct uniquely exposes Vision, Multimodal, and Structured outputs in local model data.
  • Local decision data tags Mistral Large 3 675B Instruct for Coding, RAG, and Agents.
Choose Nemotron Mini Hindi 4B Instruct when...
  • Use Nemotron Mini Hindi 4B Instruct 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.

Mistral Large 3 675B Instruct

$775

Cheapest tracked route/tier: OpenRouter

Nemotron Mini Hindi 4B Instruct

Unavailable

No complete token price in local provider data

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

Switch friction

Mistral Large 3 675B Instruct -> Nemotron Mini Hindi 4B Instruct
  • Provider overlap exists on NVIDIA NIM; start route-level A/B tests there.
  • Check replacement coverage for Vision, Multimodal, and Structured outputs before moving production traffic.
Nemotron Mini Hindi 4B Instruct -> Mistral Large 3 675B Instruct
  • Provider overlap exists on NVIDIA NIM; start route-level A/B tests there.
  • Mistral Large 3 675B Instruct adds Vision, Multimodal, and Structured outputs in local capability data.

Specs

Specification
Released2025-12-012024-09-01
Context window128k4k
Parameters675B4B
ArchitectureDecoder OnlyDecoder Only
LicenseApache 2.0OSI-approvedNVIDIA Open Model
OpennessOpen sourceOpen weights
Commercial useCommercial use: permittedCommercial use: permitted
Knowledge cutoff2024-11-

Pricing and availability

Pricing attributeMistral Large 3 675B InstructNemotron Mini Hindi 4B Instruct
Input price$0.50/1M tokens-
Output price$1.50/1M tokens-
Providers

Capabilities

CapabilityMistral Large 3 675B InstructNemotron Mini Hindi 4B Instruct
VisionYesNo
MultimodalYesNo
ReasoningNoNo
Function callingNoNo
Tool useNoNo
Structured outputsYesNo
Code executionNoNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

No shared benchmark scores are currently available for this pair.

Deep dive

The capability footprint differs most on vision: Mistral Large 3 675B Instruct, multimodal input: Mistral Large 3 675B Instruct, and structured outputs: Mistral Large 3 675B Instruct. 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 Large 3 675B Instruct has $0.50/1M input tokens and Nemotron Mini Hindi 4B Instruct has no token price sourced yet. Provider availability is 6 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 Large 3 675B Instruct when long-context analysis, larger context windows, and broader provider choice are central to the workload. Choose Nemotron Mini Hindi 4B Instruct 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 Large 3 675B Instruct or Nemotron Mini Hindi 4B Instruct?

Mistral Large 3 675B Instruct supports 128k tokens, while Nemotron Mini Hindi 4B Instruct supports 4k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Is Mistral Large 3 675B Instruct or Nemotron Mini Hindi 4B Instruct open source?

Mistral Large 3 675B Instruct is listed under Apache 2.0. Nemotron Mini Hindi 4B Instruct 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 Large 3 675B Instruct or Nemotron Mini Hindi 4B Instruct?

Mistral Large 3 675B 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 Large 3 675B Instruct or Nemotron Mini Hindi 4B Instruct?

Mistral Large 3 675B 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.

Which is better for structured outputs, Mistral Large 3 675B Instruct or Nemotron Mini Hindi 4B Instruct?

Mistral Large 3 675B Instruct 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 Large 3 675B Instruct and Nemotron Mini Hindi 4B Instruct?

Mistral Large 3 675B Instruct is available on OpenRouter, AWS Bedrock, NVIDIA NIM, Mistral AI Studio, and Microsoft Foundry. Nemotron Mini Hindi 4B Instruct is available on NVIDIA NIM. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-06-19. Data sourced from public model cards and provider documentation.