Claude Opus 4.5 vs GPT-5.5-Cyber
Claude Opus 4.5 (2025) and GPT-5.5-Cyber (2026) are frontier-tier reasoning models from Anthropic and OpenAI. Claude Opus 4.5 ships a 200K-token context window, while GPT-5.5-Cyber ships a not-yet-sourced 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 Claude Opus 4.5 when coding workflow support matters.
Decision scorecard
Local evidence first| Signal | Claude Opus 4.5 | GPT-5.5-Cyber |
|---|---|---|
| Decision fit | Coding, RAG, and Agents | Vision |
| Context window | 200K | — |
| Cheapest output | $25/1M tokens | - |
| Provider routes | 5 tracked | 0 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Claude Opus 4.5 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Claude Opus 4.5 has broader tracked provider coverage for fallback and procurement flexibility.
- Claude Opus 4.5 uniquely exposes Function calling, Tool use, and Structured outputs in local model data.
- Local decision data tags Claude Opus 4.5 for Coding, RAG, and Agents.
- Local decision data tags GPT-5.5-Cyber for Vision.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output prices on this page.
Claude Opus 4.5
$10,250
Cheapest tracked route: Microsoft Foundry
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
- No overlapping tracked provider route is sourced for Claude Opus 4.5 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.
- No overlapping tracked provider route is sourced for GPT-5.5-Cyber and Claude Opus 4.5; plan for SDK, billing, or endpoint changes.
- Claude Opus 4.5 adds Function calling, Tool use, and Structured outputs in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-11-01 | 2026-04-30 |
| Context window | 200K | — |
| Parameters | — | — |
| Architecture | decoder only | decoder only |
| License | Proprietary | Proprietary |
| Knowledge cutoff | 2025-12 | - |
Pricing and availability
| Pricing attribute | Claude Opus 4.5 | GPT-5.5-Cyber |
|---|---|---|
| Input price | $5/1M tokens | - |
| Output price | $25/1M tokens | - |
| Providers | - |
Capabilities
| Capability | Claude Opus 4.5 | GPT-5.5-Cyber |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | Yes | Yes |
| Function calling | Yes | No |
| Tool use | Yes | No |
| Structured outputs | Yes | No |
| Code execution | Yes | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on function calling: Claude Opus 4.5, tool use: Claude Opus 4.5, structured outputs: Claude Opus 4.5, and code execution: Claude Opus 4.5. 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: Claude Opus 4.5 has $5/1M input tokens and GPT-5.5-Cyber has no token price sourced yet. Provider availability is 5 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose Claude Opus 4.5 when coding workflow support 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.
FAQ
Is Claude Opus 4.5 or GPT-5.5-Cyber open source?
Claude Opus 4.5 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, Claude Opus 4.5 or GPT-5.5-Cyber?
Both Claude Opus 4.5 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, Claude Opus 4.5 or GPT-5.5-Cyber?
Both Claude Opus 4.5 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, Claude Opus 4.5 or GPT-5.5-Cyber?
Both Claude Opus 4.5 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, Claude Opus 4.5 or GPT-5.5-Cyber?
Claude Opus 4.5 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 Claude Opus 4.5 and GPT-5.5-Cyber?
Claude Opus 4.5 is available on Microsoft Foundry, Anthropic, GCP Vertex AI, AWS Bedrock, and OpenRouter. 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.
Continue comparing
Last reviewed: 2026-05-16. Data sourced from public model cards and provider documentation.