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Claude Opus 4.6 vs GPT-4o Search Preview

Claude Opus 4.6 (2026) and GPT-4o Search Preview (2025) are frontier reasoning models from Anthropic and OpenAI. Claude Opus 4.6 ships a 1M-token context window, while GPT-4o Search Preview ships a 128K-token context window. On pricing, GPT-4o Search Preview costs $2.5/1M input tokens versus $5/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.

GPT-4o Search Preview is ~100% cheaper at $2.5/1M; pay for Claude Opus 4.6 only for coding workflow support.

Specs

Released2026-02-052025-02-26
Context window1M128K
Parameters
Architecturedecoder onlydecoder only
LicenseProprietaryUnknown
Knowledge cutoff2025-12-

Pricing and availability

Claude Opus 4.6GPT-4o Search Preview
Input price$5/1M tokens$2.5/1M tokens
Output price$25/1M tokens$10/1M tokens
Providers

Capabilities

Claude Opus 4.6GPT-4o Search Preview
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 vision: Claude Opus 4.6, multimodal input: Claude Opus 4.6, reasoning mode: Claude Opus 4.6, function calling: Claude Opus 4.6, tool use: Claude Opus 4.6, and code execution: Claude Opus 4.6. Both models share structured outputs, 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 Opus 4.6 lists $5/1M input and $25/1M output tokens, while GPT-4o Search Preview lists $2.5/1M input and $10/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts GPT-4o Search Preview lower by about $6.25 per million blended tokens. Availability is 4 providers versus 1, so concentration risk also matters.

Choose Claude Opus 4.6 when coding workflow support, larger context windows, and broader provider choice are central to the workload. Choose GPT-4o Search Preview when provider fit and lower input-token cost are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship.

FAQ

Which has a larger context window, Claude Opus 4.6 or GPT-4o Search Preview?

Claude Opus 4.6 supports 1M tokens, while GPT-4o Search Preview supports 128K 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 Opus 4.6 or GPT-4o Search Preview?

GPT-4o Search Preview is cheaper on tracked token pricing. Claude Opus 4.6 costs $5/1M input and $25/1M output tokens. GPT-4o Search Preview costs $2.5/1M input and $10/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is Claude Opus 4.6 or GPT-4o Search Preview open source?

Claude Opus 4.6 is listed under Proprietary. GPT-4o Search Preview is listed under Unknown. 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 4.6 or GPT-4o Search Preview?

Claude Opus 4.6 has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for multimodal input, Claude Opus 4.6 or GPT-4o Search Preview?

Claude Opus 4.6 has the clearer documented multimodal input signal in this comparison. If multimodal input 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 4.6 and GPT-4o Search Preview?

Claude Opus 4.6 is available on OpenRouter, Anthropic, AWS Bedrock, and GCP Vertex AI. GPT-4o Search Preview is available on OpenRouter. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-04-27. Data sourced from public model cards and provider documentation.