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Claude Sonnet 4.5 vs GPT-5.5 Pro

Claude Sonnet 4.5 (2025) and GPT-5.5 Pro (2026) are frontier-tier reasoning models from Anthropic and OpenAI. Claude Sonnet 4.5 ships a 200K-token context window, while GPT-5.5 Pro ships a 1M-token context window. On pricing, Claude Sonnet 4.5 costs $3/1M input tokens versus $30/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing.

Claude Sonnet 4.5 is ~900% cheaper at $3/1M; pay for GPT-5.5 Pro only for coding workflow support.

Specs

Released2025-09-292026-04-23
Context window200K1M
Parameters
Architecturedecoder onlydecoder only
LicenseProprietaryProprietary
Knowledge cutoff2025-12-

Pricing and availability

Claude Sonnet 4.5GPT-5.5 Pro
Input price$3/1M tokens$30/1M tokens
Output price$15/1M tokens$180/1M tokens
Providers

Capabilities

Claude Sonnet 4.5GPT-5.5 Pro
Vision
Multimodal
Reasoning
Function calling
Tool use
Structured outputs
Code execution

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on code execution: GPT-5.5 Pro. Both models share vision, multimodal input, reasoning mode, and function calling, 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.

For cost, Claude Sonnet 4.5 lists $3/1M input and $15/1M output tokens, while GPT-5.5 Pro lists $30/1M input and $180/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Claude Sonnet 4.5 lower by about $68.40 per million blended tokens. Availability is 8 providers versus 1, so concentration risk also matters.

Choose Claude Sonnet 4.5 when vision-heavy evaluation, lower input-token cost, and broader provider choice are central to the workload. Choose GPT-5.5 Pro when coding workflow support and larger context windows 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

Which has a larger context window, Claude Sonnet 4.5 or GPT-5.5 Pro?

GPT-5.5 Pro supports 1M tokens, while Claude Sonnet 4.5 supports 200K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Which is cheaper, Claude Sonnet 4.5 or GPT-5.5 Pro?

Claude Sonnet 4.5 is cheaper on tracked token pricing. Claude Sonnet 4.5 costs $3/1M input and $15/1M output tokens. GPT-5.5 Pro costs $30/1M input and $180/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is Claude Sonnet 4.5 or GPT-5.5 Pro open source?

Claude Sonnet 4.5 is listed under Proprietary. GPT-5.5 Pro 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 Sonnet 4.5 or GPT-5.5 Pro?

Both Claude Sonnet 4.5 and GPT-5.5 Pro 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 Sonnet 4.5 or GPT-5.5 Pro?

Both Claude Sonnet 4.5 and GPT-5.5 Pro expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.

Where can I run Claude Sonnet 4.5 and GPT-5.5 Pro?

Claude Sonnet 4.5 is available on Microsoft Foundry, Anthropic, Snowflake Cortex, GCP Vertex AI, and AWS Bedrock. GPT-5.5 Pro is available on OpenAI API. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-04-24. Data sourced from public model cards and provider documentation.