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Granite Guardian 3.0 8B vs Mistral Large 3 675B Instruct

Granite Guardian 3.0 8B (2025) and Mistral Large 3 675B Instruct (2025) are compact production models from IBM Research and MistralAI. Granite Guardian 3.0 8B ships a 8K-token context window, while Mistral Large 3 675B Instruct ships a 128K-token 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.

Mistral Large 3 675B Instruct fits 16x more tokens; pick it for long-context work and Granite Guardian 3.0 8B for tighter calls.

Decision scorecard

Local evidence first
SignalGranite Guardian 3.0 8BMistral Large 3 675B Instruct
Decision fitClassificationRAG, Agents, and Long context
Context window8K128K
Cheapest output-$1.5/1M tokens
Provider routes1 tracked4 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Granite Guardian 3.0 8B when...
  • Local decision data tags Granite Guardian 3.0 8B for Classification.
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 Structured outputs in local model data.
  • Local decision data tags Mistral Large 3 675B Instruct for RAG, Agents, and Long context.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output prices on this page.

Granite Guardian 3.0 8B

Unavailable

No complete token price in local provider data

Mistral Large 3 675B Instruct

$775

Cheapest tracked route: AWS Bedrock

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

Switch friction

Granite Guardian 3.0 8B -> Mistral Large 3 675B Instruct
  • Provider overlap exists on NVIDIA NIM; start route-level A/B tests there.
  • Mistral Large 3 675B Instruct adds Structured outputs in local capability data.
Mistral Large 3 675B Instruct -> Granite Guardian 3.0 8B
  • Provider overlap exists on NVIDIA NIM; start route-level A/B tests there.
  • Check replacement coverage for Structured outputs before moving production traffic.

Specs

Specification
Released2025-03-012025-12-01
Context window8K128K
Parameters8B675B
Architecturedecoder onlydecoder only
License11
Knowledge cutoff2024-042024-11

Pricing and availability

Pricing attributeGranite Guardian 3.0 8BMistral Large 3 675B Instruct
Input price-$0.5/1M tokens
Output price-$1.5/1M tokens
Providers

Capabilities

CapabilityGranite Guardian 3.0 8BMistral Large 3 675B Instruct
VisionNoNo
MultimodalNoNo
ReasoningNoNo
Function callingNoNo
Tool useNoNo
Structured outputsNoYes
Code executionNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on 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: Granite Guardian 3.0 8B has no token price sourced yet and Mistral Large 3 675B Instruct has $0.5/1M input tokens. Provider availability is 1 tracked routes versus 4. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose Granite Guardian 3.0 8B when provider fit are central to the workload. Choose Mistral Large 3 675B Instruct when long-context analysis, larger context windows, and broader provider choice 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 has a larger context window, Granite Guardian 3.0 8B or Mistral Large 3 675B Instruct?

Mistral Large 3 675B Instruct supports 128K tokens, while Granite Guardian 3.0 8B supports 8K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Is Granite Guardian 3.0 8B or Mistral Large 3 675B Instruct open source?

Granite Guardian 3.0 8B is listed under 1. Mistral Large 3 675B Instruct 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 structured outputs, Granite Guardian 3.0 8B or Mistral Large 3 675B 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 Granite Guardian 3.0 8B and Mistral Large 3 675B Instruct?

Granite Guardian 3.0 8B is available on NVIDIA NIM. Mistral Large 3 675B Instruct is available on AWS Bedrock, NVIDIA NIM, Mistral AI Studio, and Microsoft Foundry. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

When should I pick Granite Guardian 3.0 8B over Mistral Large 3 675B Instruct?

Mistral Large 3 675B Instruct fits 16x more tokens; pick it for long-context work and Granite Guardian 3.0 8B for tighter calls. If your workload also depends on provider fit, start with Granite Guardian 3.0 8B; if it depends on long-context analysis, run the same evaluation with Mistral Large 3 675B Instruct.

Continue comparing

Last reviewed: 2026-05-19. Data sourced from public model cards and provider documentation.