LLM Reference

Fugu vs GPT-5.5-Cyber

Fugu (2026) and GPT-5.5-Cyber (2026) are frontier-tier reasoning models from Sakana AI and OpenAI. Fugu ships a 1m-token context window, while GPT-5.5-Cyber ships a not-yet-sourced 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.

Fugu is safer overall; choose GPT-5.5-Cyber when vision-heavy evaluation matters.

Decision scorecard

Local evidence first
SignalFuguGPT-5.5-Cyber
Best forreasoning-heavy apps, multimodal apps, and tool-calling agentsreasoning-heavy apps and multimodal apps
Decision fitCoding, RAG, and AgentsVision
Context window1m
Cheapest output--
Provider routes1 tracked0 tracked
Shared benchmarks0 shared0 shared

Decision tradeoffs

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

Monthly cost at traffic

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

Fugu

Unavailable

No complete token price in local provider data

GPT-5.5-Cyber

Unavailable

No complete token price in local provider data

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

Switch friction

Fugu -> GPT-5.5-Cyber
  • No overlapping tracked provider route is sourced for Fugu 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.
GPT-5.5-Cyber -> Fugu
  • No overlapping tracked provider route is sourced for GPT-5.5-Cyber and Fugu; plan for SDK, billing, or endpoint changes.
  • Fugu adds Function calling, Tool use, and Structured outputs in local capability data.

Specs

Specification
Released2026-06-222026-04-30
Context window1m
Parameters
ArchitectureComposition of ExpertsDecoder Only
LicenseProprietaryProprietary
OpennessProprietaryProprietary
Commercial useCommercial use: conditionalCommercial use: conditional
Knowledge cutoff-2025-12

Pricing and availability

Pricing attributeFuguGPT-5.5-Cyber
Input price--
Output price--
Providers-

Pricing not yet sourced for either model.

Capabilities

CapabilityFuguGPT-5.5-Cyber
VisionYesYes
MultimodalYesYes
ReasoningYesYes
Function callingYesNo
Tool useYesNo
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 function calling: Fugu, tool use: Fugu, and structured outputs: Fugu. 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: Fugu has no token price sourced yet and GPT-5.5-Cyber has no token price sourced yet. Provider availability is 1 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose Fugu when vision-heavy evaluation and broader provider choice are central to the workload. Choose GPT-5.5-Cyber when vision-heavy evaluation 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 Fugu or GPT-5.5-Cyber open source?

Fugu is listed under Proprietary. GPT-5.5-Cyber is listed under Proprietary. 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, Fugu or GPT-5.5-Cyber?

Both Fugu and GPT-5.5-Cyber 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, Fugu or GPT-5.5-Cyber?

Both Fugu and GPT-5.5-Cyber 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, Fugu or GPT-5.5-Cyber?

Both Fugu and GPT-5.5-Cyber 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, Fugu or GPT-5.5-Cyber?

Fugu 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 Fugu and GPT-5.5-Cyber?

Fugu is available on Sakana AI. GPT-5.5-Cyber is available on the tracked providers still being sourced. Provider coverage can affect latency, region availability, compliance posture, and fallback options. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.

Continue comparing

Last reviewed: 2026-06-22. Data sourced from public model cards and provider documentation.