LLM Reference

GPT-5 vs GPT-5.5 Instant

GPT-5 (2025) and GPT-5.5 Instant (2026) are frontier reasoning models from OpenAI. GPT-5 ships a 400k-token context window, while GPT-5.5 Instant ships a 400k-token context window. On pricing, GPT-5 costs $1.25/1M input tokens versus $5/1M 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.

GPT-5 is ~300% cheaper at $1.25/1M; pay for GPT-5.5 Instant only for coding workflow support.

Decision scorecard

Local evidence first
SignalGPT-5GPT-5.5 Instant
Best forreasoning-heavy apps, multimodal apps, and tool-calling agentsmultimodal apps and tool-calling agents
Decision fitCoding, RAG, and AgentsCoding, RAG, and Agents
Context window400k400k
Cheapest output$10/1M tokens$30/1M tokens
Provider routes4 tracked1 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose GPT-5 when...
  • GPT-5 has the lower cheapest tracked output price at $10/1M tokens.
  • GPT-5 has broader tracked provider coverage for fallback and procurement flexibility.
  • GPT-5 uniquely exposes Reasoning in local model data.
  • Local decision data tags GPT-5 for Coding, RAG, and Agents.
Choose GPT-5.5 Instant when...
  • Local decision data tags GPT-5.5 Instant for Coding, RAG, and Agents.

Monthly cost at traffic

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

Lower estimate GPT-5

GPT-5

$3,500

Cheapest tracked route/tier: Replicate API

GPT-5.5 Instant

$11,500

Cheapest tracked route/tier: OpenAI API

Estimated monthly gap: $8,000. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

GPT-5 -> GPT-5.5 Instant
  • Provider overlap exists on OpenAI API; start route-level A/B tests there.
  • GPT-5.5 Instant is $20/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • Check replacement coverage for Reasoning before moving production traffic.
GPT-5.5 Instant -> GPT-5
  • Provider overlap exists on OpenAI API; start route-level A/B tests there.
  • GPT-5 is $20/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • GPT-5 adds Reasoning in local capability data.

Specs

Specification
Released2025-08-072026-05-05
Context window400k400k
Parameters
Architecturedecoder onlydecoder only
LicenseProprietaryProprietary
Knowledge cutoff2024-092025-08

Pricing and availability

Pricing attributeGPT-5GPT-5.5 Instant
Input price$1.25/1M tokens$5/1M tokens
Output price$10/1M tokens$30/1M tokens
Providers

Capabilities

CapabilityGPT-5GPT-5.5 Instant
VisionYesYes
MultimodalYesYes
ReasoningYesNo
Function callingYesYes
Tool useYesYes
Structured outputsYesYes
Code executionYesYes
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on reasoning mode: GPT-5. Both models share vision, multimodal input, function calling, and tool use, 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, GPT-5 lists $1.25/1M input and $10/1M output tokens on the cheapest tracked provider, while GPT-5.5 Instant lists $5/1M input and $30/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts GPT-5 lower by about $8.63 per million blended tokens. Availability is 4 providers versus 1, so concentration risk also matters.

Choose GPT-5 when coding workflow support, lower input-token cost, and broader provider choice are central to the workload. Choose GPT-5.5 Instant when coding workflow support 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, GPT-5 or GPT-5.5 Instant?

GPT-5 supports 400k tokens, while GPT-5.5 Instant supports 400k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.

Which is cheaper, GPT-5 or GPT-5.5 Instant?

GPT-5 is cheaper on tracked token pricing. GPT-5 costs $1.25/1M input and $10/1M output tokens. GPT-5.5 Instant costs $5/1M input and $30/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is GPT-5 or GPT-5.5 Instant open source?

GPT-5 is listed under Proprietary. GPT-5.5 Instant 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, GPT-5 or GPT-5.5 Instant?

Both GPT-5 and GPT-5.5 Instant 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 or GPT-5.5 Instant?

Both GPT-5 and GPT-5.5 Instant 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.

Where can I run GPT-5 and GPT-5.5 Instant?

GPT-5 is available on Replicate API, OpenRouter, OpenAI API, and Vercel AI Gateway. GPT-5.5 Instant is available on OpenAI API. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.