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Granite 3.1 8B Instruct vs Mistral Large 3 675B Instruct

Granite 3.1 8B Instruct (2024) and Mistral Large 3 675B Instruct (2025) are compact production models from IBM Research and MistralAI. Granite 3.1 8B Instruct ships a 128K-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 is safer overall; choose Granite 3.1 8B Instruct when provider fit matters.

Decision scorecard

Local evidence first
SignalGranite 3.1 8B InstructMistral Large 3 675B Instruct
Decision fitLong contextRAG, Agents, and Long context
Context window128K128K
Cheapest output-$1.5/1M tokens
Provider routes0 tracked4 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Granite 3.1 8B Instruct when...
  • Local decision data tags Granite 3.1 8B Instruct for Long context.
Choose Mistral Large 3 675B Instruct when...
  • 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 3.1 8B Instruct

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 3.1 8B Instruct -> Mistral Large 3 675B Instruct
  • No overlapping tracked provider route is sourced for Granite 3.1 8B Instruct and Mistral Large 3 675B Instruct; plan for SDK, billing, or endpoint changes.
  • Mistral Large 3 675B Instruct adds Structured outputs in local capability data.
Mistral Large 3 675B Instruct -> Granite 3.1 8B Instruct
  • No overlapping tracked provider route is sourced for Mistral Large 3 675B Instruct and Granite 3.1 8B Instruct; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Structured outputs before moving production traffic.

Specs

Specification
Released2024-12-182025-12-01
Context window128K128K
Parameters8B675B
ArchitectureDense decoder-only transformer: 40 layers, 4096 embed, GQA 32/8 heads, RoPE, SwiGLUdecoder only
LicenseOpen Source1
Knowledge cutoff2024-042024-11

Pricing and availability

Pricing attributeGranite 3.1 8B InstructMistral Large 3 675B Instruct
Input price-$0.5/1M tokens
Output price-$1.5/1M tokens
Providers-

Capabilities

CapabilityGranite 3.1 8B InstructMistral 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 3.1 8B Instruct has no token price sourced yet and Mistral Large 3 675B Instruct has $0.5/1M input tokens. Provider availability is 0 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 3.1 8B Instruct when provider fit are central to the workload. Choose Mistral Large 3 675B Instruct when provider fit 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. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.

FAQ

Which has a larger context window, Granite 3.1 8B Instruct or Mistral Large 3 675B Instruct?

Granite 3.1 8B Instruct supports 128K tokens, while Mistral Large 3 675B Instruct supports 128K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Is Granite 3.1 8B Instruct or Mistral Large 3 675B Instruct open source?

Granite 3.1 8B Instruct is listed under Open Source. 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 3.1 8B Instruct 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 3.1 8B Instruct and Mistral Large 3 675B Instruct?

Granite 3.1 8B Instruct is available on the tracked providers still being sourced. 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 3.1 8B Instruct over Mistral Large 3 675B Instruct?

Mistral Large 3 675B Instruct is safer overall; choose Granite 3.1 8B Instruct when provider fit matters. If your workload also depends on provider fit, start with Granite 3.1 8B Instruct; if it depends on provider fit, 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.