LLM Reference

GPT-5.4-Cyber vs Mistral Large 3 675B Instruct

GPT-5.4-Cyber (2026) and Mistral Large 3 675B Instruct (2025) are frontier reasoning models from OpenAI and MistralAI. GPT-5.4-Cyber ships a not-yet-sourced context window, while Mistral Large 3 675B Instruct ships a 128k-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. It focuses on practical selection signals rather than broad model-family marketing.

GPT-5.4-Cyber is safer overall; choose Mistral Large 3 675B Instruct when vision-heavy evaluation matters.

Decision scorecard

Local evidence first
SignalGPT-5.4-CyberMistral Large 3 675B Instruct
Best forreasoning-heavy apps and multimodal appsmultimodal apps and provider-routed production
Decision fitVisionCoding, RAG, and Agents
Context window128k
Cheapest output-$1.50/1M tokens
Provider routes0 tracked5 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose GPT-5.4-Cyber when...
  • GPT-5.4-Cyber uniquely exposes Reasoning in local model data.
  • Local decision data tags GPT-5.4-Cyber for Vision.
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 Coding, RAG, and Agents.

Monthly cost at traffic

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

GPT-5.4-Cyber

Unavailable

No complete token price in local provider data

Mistral Large 3 675B Instruct

$775

Cheapest tracked route/tier: AWS Bedrock

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

Switch friction

GPT-5.4-Cyber -> Mistral Large 3 675B Instruct
  • No overlapping tracked provider route is sourced for GPT-5.4-Cyber and Mistral Large 3 675B Instruct; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Reasoning before moving production traffic.
  • Mistral Large 3 675B Instruct adds Structured outputs in local capability data.
Mistral Large 3 675B Instruct -> GPT-5.4-Cyber
  • No overlapping tracked provider route is sourced for Mistral Large 3 675B Instruct and GPT-5.4-Cyber; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Structured outputs before moving production traffic.
  • GPT-5.4-Cyber adds Reasoning in local capability data.

Specs

Specification
Released2026-04-142025-12-01
Context window128k
Parameters675B
Architecturedecoder onlydecoder only
LicenseProprietaryMistral License
OpennessProprietaryOpen weights
Commercial useCommercial use with conditionsNon-commercial only
Knowledge cutoff2025-082024-11

Pricing and availability

Pricing attributeGPT-5.4-CyberMistral Large 3 675B Instruct
Input price-$0.50/1M tokens
Output price-$1.50/1M tokens
Providers-

Capabilities

CapabilityGPT-5.4-CyberMistral Large 3 675B Instruct
VisionYesYes
MultimodalYesYes
ReasoningYesNo
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 reasoning mode: GPT-5.4-Cyber and structured outputs: Mistral Large 3 675B Instruct. Both models share vision and multimodal input, 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: GPT-5.4-Cyber has no token price sourced yet and Mistral Large 3 675B Instruct has $0.50/1M input tokens. Provider availability is 0 tracked routes versus 5. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose GPT-5.4-Cyber when reasoning depth are central to the workload. Choose Mistral Large 3 675B Instruct when vision-heavy evaluation 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

Is GPT-5.4-Cyber or Mistral Large 3 675B Instruct open source?

GPT-5.4-Cyber is listed under Proprietary. Mistral Large 3 675B Instruct is listed under Mistral License. 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, GPT-5.4-Cyber or Mistral Large 3 675B Instruct?

Both GPT-5.4-Cyber and Mistral Large 3 675B Instruct expose vision. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.

Which is better for multimodal input, GPT-5.4-Cyber or Mistral Large 3 675B Instruct?

Both GPT-5.4-Cyber and Mistral Large 3 675B Instruct expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.

Which is better for reasoning mode, GPT-5.4-Cyber or Mistral Large 3 675B Instruct?

GPT-5.4-Cyber has the clearer documented reasoning mode signal in this comparison. If reasoning mode 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, GPT-5.4-Cyber 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 GPT-5.4-Cyber and Mistral Large 3 675B Instruct?

GPT-5.4-Cyber is available on the tracked providers still being sourced. Mistral Large 3 675B Instruct is available on AWS Bedrock, NVIDIA NIM, Mistral AI Studio, Microsoft Foundry, and Vercel AI Gateway. 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.