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GPT-5.5-Cyber vs Mistral Medium 3.5

GPT-5.5-Cyber (2026) and Mistral Medium 3.5 (2026) are frontier-tier reasoning models from OpenAI and MistralAI. GPT-5.5-Cyber ships a not-yet-sourced context window, while Mistral Medium 3.5 ships a 256K-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. The goal is to make the tradeoff clear before deeper testing.

GPT-5.5-Cyber is safer overall; choose Mistral Medium 3.5 when vision-heavy evaluation matters.

Decision scorecard

Local evidence first
SignalGPT-5.5-CyberMistral Medium 3.5
Decision fitVisionCoding, RAG, and Agents
Context window256K
Cheapest output-$7.5/1M tokens
Provider routes0 tracked2 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose GPT-5.5-Cyber when...
  • Local decision data tags GPT-5.5-Cyber for Vision.
Choose Mistral Medium 3.5 when...
  • Mistral Medium 3.5 has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Mistral Medium 3.5 has broader tracked provider coverage for fallback and procurement flexibility.
  • Mistral Medium 3.5 uniquely exposes Function calling, Tool use, and Structured outputs in local model data.
  • Local decision data tags Mistral Medium 3.5 for Coding, RAG, and Agents.

Monthly cost at traffic

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

GPT-5.5-Cyber

Unavailable

No complete token price in local provider data

Mistral Medium 3.5

$3,075

Cheapest tracked route: Mistral AI Studio

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

Switch friction

GPT-5.5-Cyber -> Mistral Medium 3.5
  • No overlapping tracked provider route is sourced for GPT-5.5-Cyber and Mistral Medium 3.5; plan for SDK, billing, or endpoint changes.
  • Mistral Medium 3.5 adds Function calling, Tool use, and Structured outputs in local capability data.
Mistral Medium 3.5 -> GPT-5.5-Cyber
  • No overlapping tracked provider route is sourced for Mistral Medium 3.5 and GPT-5.5-Cyber; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Function calling, Tool use, and Structured outputs before moving production traffic.

Specs

Specification
Released2026-04-302026-04-29
Context window256K
Parameters128B
Architecturedecoder onlydecoder only
LicenseProprietaryMistral License
Knowledge cutoff--

Pricing and availability

Pricing attributeGPT-5.5-CyberMistral Medium 3.5
Input price-$1.5/1M tokens
Output price-$7.5/1M tokens
Providers-

Capabilities

CapabilityGPT-5.5-CyberMistral Medium 3.5
VisionYesYes
MultimodalYesYes
ReasoningYesYes
Function callingNoYes
Tool useNoYes
Structured outputsNoYes
Code executionNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on function calling: Mistral Medium 3.5, tool use: Mistral Medium 3.5, and structured outputs: Mistral Medium 3.5. Both models share vision, multimodal input, and reasoning mode, 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-5.5-Cyber has no token price sourced yet and Mistral Medium 3.5 has $1.5/1M input tokens. Provider availability is 0 tracked routes versus 2. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose GPT-5.5-Cyber when vision-heavy evaluation are central to the workload. Choose Mistral Medium 3.5 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-5.5-Cyber or Mistral Medium 3.5 open source?

GPT-5.5-Cyber is listed under Proprietary. Mistral Medium 3.5 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-5.5-Cyber or Mistral Medium 3.5?

Both GPT-5.5-Cyber and Mistral Medium 3.5 expose vision. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.

Which is better for multimodal input, GPT-5.5-Cyber or Mistral Medium 3.5?

Both GPT-5.5-Cyber and Mistral Medium 3.5 expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.

Which is better for reasoning mode, GPT-5.5-Cyber or Mistral Medium 3.5?

Both GPT-5.5-Cyber and Mistral Medium 3.5 expose reasoning mode. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.

Which is better for function calling, GPT-5.5-Cyber or Mistral Medium 3.5?

Mistral Medium 3.5 has the clearer documented function calling signal in this comparison. If function calling is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Where can I run GPT-5.5-Cyber and Mistral Medium 3.5?

GPT-5.5-Cyber is available on the tracked providers still being sourced. Mistral Medium 3.5 is available on Mistral AI Studio and OpenRouter. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-05-14. Data sourced from public model cards and provider documentation.