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OpenAI: GPT-5.5

openai/gpt-5.5

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GPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It features a 1M+ token context window (922K input, 128K output) with support for text and image inputs, enabling large-scale reasoning, coding, and multimodal workflows within a single system.

Modalities
In / Out Price
$5 / $30per 1M
Context
1.1M
Released
Apr 24, 2026
Knowledge Cutoff
Dec 2025
Compare
ProvidersPricingPerformanceUptimeBenchmarksAppsActivityDocumentationFAQExplore

Providers

Different companies host the same model. OpenRouter routes your request to one of them based on the routing mode you pick — Balanced (price + speed), Nitro (fastest), Floor (cheapest), or Exacto (highest tool-calling accuracy).

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Performance

Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Benchmarks

Scores on standardized evaluations and this model’s own outputs on shared benchmark prompts. Higher percentages are better — and each rank shows where this model lands among the models evaluated on that source.

Benchmark score summary for OpenAI: GPT-5.5 (Artificial Analysis, Design Arena and Vals AI)
SourceBenchmarkScore
Artificial AnalysisGPT-5.5 (High) Intelligence Index37.0
Artificial AnalysisGPT-5.5 (High) Coding Index71.6
Artificial AnalysisGPT-5.5 (High) Agentic Index34.3
Artificial AnalysisGPT-5.5 (High) GPQA Diamond93.2%
Artificial AnalysisGPT-5.5 (High) HLE45.0%
Artificial AnalysisGPT-5.5 (High) IFBench71.6%
Artificial AnalysisGPT-5.5 (High) τ²-Bench Telecom93.0%
Artificial AnalysisGPT-5.5 (High) AA-LCR84.3%
Artificial AnalysisGPT-5.5 (High) τ-Bench Banking36.7%
Artificial AnalysisGPT-5.5 (High) GDPval-AA41.5%
Artificial AnalysisGPT-5.5 (High) CritPt25.4%
Artificial AnalysisGPT-5.5 (High) SciCode56.1%
Artificial AnalysisGPT-5.5 (High) Terminal-Bench Hard59.8%
Artificial AnalysisGPT-5.5 (High) Terminal-Bench 4.09.1%
Artificial AnalysisGPT-5.5 (High) Terminal-Bench 2.179.4%
Artificial AnalysisGPT-5.5 (High) AA-Omniscience Accuracy57.0%
Artificial AnalysisGPT-5.5 (High) AA-Omniscience Non-Hallucination Rate10.9%
Artificial AnalysisGPT-5.5 (Medium) Intelligence Index33.8
Artificial AnalysisGPT-5.5 (Medium) Coding Index71.5
Artificial AnalysisGPT-5.5 (Medium) Agentic Index29.5
Artificial AnalysisGPT-5.5 (Medium) GPQA Diamond92.6%
Artificial AnalysisGPT-5.5 (Medium) HLE42.4%
Artificial AnalysisGPT-5.5 (Medium) IFBench71.0%
Artificial AnalysisGPT-5.5 (Medium) τ²-Bench Telecom91.8%
Artificial AnalysisGPT-5.5 (Medium) AA-LCR83.0%
Artificial AnalysisGPT-5.5 (Medium) τ-Bench Banking29.9%
Artificial AnalysisGPT-5.5 (Medium) GDPval-AA36.7%
Artificial AnalysisGPT-5.5 (Medium) CritPt18.6%
Artificial AnalysisGPT-5.5 (Medium) SciCode54.5%
Artificial AnalysisGPT-5.5 (Medium) Terminal-Bench Hard57.6%
Artificial AnalysisGPT-5.5 (Medium) Terminal-Bench 4.05.1%
Artificial AnalysisGPT-5.5 (Medium) Terminal-Bench 2.180.5%
Artificial AnalysisGPT-5.5 (Medium) AA-Omniscience Accuracy56.8%
Artificial AnalysisGPT-5.5 (Medium) AA-Omniscience Non-Hallucination Rate10.4%
Artificial AnalysisGPT-5.5 (Non-reasoning) Intelligence Index23.2
Artificial AnalysisGPT-5.5 (Non-reasoning) Coding Index56.5
Artificial AnalysisGPT-5.5 (Non-reasoning) GPQA Diamond76.8%
Artificial AnalysisGPT-5.5 (Non-reasoning) HLE13.7%
Artificial AnalysisGPT-5.5 (Non-reasoning) IFBench46.1%
Artificial AnalysisGPT-5.5 (Non-reasoning) τ²-Bench Telecom69.3%
Artificial AnalysisGPT-5.5 (Non-reasoning) AA-LCR64.0%
Artificial AnalysisGPT-5.5 (Non-reasoning) τ-Bench Banking14.8%
Artificial AnalysisGPT-5.5 (Non-reasoning) GDPval-AA23.6%
Artificial AnalysisGPT-5.5 (Non-reasoning) CritPt1.4%
Artificial AnalysisGPT-5.5 (Non-reasoning) Terminal-Bench Hard49.2%
Artificial AnalysisGPT-5.5 (Non-reasoning) Terminal-Bench 2.161.0%
Artificial AnalysisGPT-5.5 (Non-reasoning) AA-Omniscience Accuracy45.6%
Artificial AnalysisGPT-5.5 (Non-reasoning) AA-Omniscience Non-Hallucination Rate7.3%
Artificial AnalysisGPT-5.5 (Low) Intelligence Index30.7
Artificial AnalysisGPT-5.5 (Low) Coding Index60.9
Artificial AnalysisGPT-5.5 (Low) GPQA Diamond91.0%
Artificial AnalysisGPT-5.5 (Low) HLE32.7%
Artificial AnalysisGPT-5.5 (Low) IFBench64.4%
Artificial AnalysisGPT-5.5 (Low) τ²-Bench Telecom83.9%
Artificial AnalysisGPT-5.5 (Low) AA-LCR81.0%
Artificial AnalysisGPT-5.5 (Low) τ-Bench Banking24.9%
Artificial AnalysisGPT-5.5 (Low) GDPval-AA27.4%
Artificial AnalysisGPT-5.5 (Low) CritPt8.0%
Artificial AnalysisGPT-5.5 (Low) Terminal-Bench Hard52.3%
Artificial AnalysisGPT-5.5 (Low) Terminal-Bench 2.165.5%
Artificial AnalysisGPT-5.5 (Low) AA-Omniscience Accuracy54.8%
Artificial AnalysisGPT-5.5 (Low) AA-Omniscience Non-Hallucination Rate12.0%
Artificial AnalysisGPT-5.5 (Xhigh) Intelligence Index38.4
Artificial AnalysisGPT-5.5 (Xhigh) Coding Index74.9
Artificial AnalysisGPT-5.5 (Xhigh) Agentic Index36.4
Artificial AnalysisGPT-5.5 (Xhigh) GPQA Diamond93.5%
Artificial AnalysisGPT-5.5 (Xhigh) HLE45.8%
Artificial AnalysisGPT-5.5 (Xhigh) IFBench75.9%
Artificial AnalysisGPT-5.5 (Xhigh) τ²-Bench Telecom93.9%
Artificial AnalysisGPT-5.5 (Xhigh) AA-LCR84.3%
Artificial AnalysisGPT-5.5 (Xhigh) τ-Bench Banking39.0%
Artificial AnalysisGPT-5.5 (Xhigh) GDPval-AA42.7%
Artificial AnalysisGPT-5.5 (Xhigh) CritPt27.1%
Artificial AnalysisGPT-5.5 (Xhigh) SciCode55.8%
Artificial AnalysisGPT-5.5 (Xhigh) Terminal-Bench Hard60.6%
Artificial AnalysisGPT-5.5 (Xhigh) Terminal-Bench 4.014.6%
Artificial AnalysisGPT-5.5 (Xhigh) Terminal-Bench 2.184.3%
Artificial AnalysisGPT-5.5 (Xhigh) AA-Omniscience Accuracy58.0%
Artificial AnalysisGPT-5.5 (Xhigh) AA-Omniscience Non-Hallucination Rate11.0%
Design ArenaGPT-5.5 Agents Arena Agenticgamedev Elo1179
Design ArenaGPT-5.5 Agents Arena Agentichtmlslides Elo1084
Design ArenaGPT-5.5 Agents Arena Agenticslides Elo1150
Design ArenaGPT-5.5 Agents Arena Agenticslides(Html) Elo1077
Design ArenaGPT-5.5 Agents Arena Agenticslides(Python-Pptx) Elo1155
Design ArenaGPT-5.5 Agents Arena Androidnative Elo1177
Design ArenaGPT-5.5 Agents Arena Full Stack Elo1088
Design ArenaGPT-5.5 Agents Arena Godotgamedev Elo1173
Design ArenaGPT-5.5 Agents Arena Htmlslides Elo1067
Design ArenaGPT-5.5 Agents Arena Mobile Apps Elo1139
Design ArenaGPT-5.5 Agents Arena Pptxslides Elo1157
Design ArenaGPT-5.5 Agents Arena Python-Pptxslides Elo1152
Design ArenaGPT-5.5 Agents Arena Python-Pptxslides Elo1108
Design ArenaGPT-5.5 Agents Arena Webapps Elo1110
Design ArenaGPT-5.5 Models Arena 3D Elo1212
Design ArenaGPT-5.5 Models Arena Asciiart Elo1266
Design ArenaGPT-5.5 Models Arena Code Categories Elo1266
Design ArenaGPT-5.5 Models Arena Data Visualization Elo1272
Design ArenaGPT-5.5 Models Arena Game Development Elo1308
Design ArenaGPT-5.5 Models Arena SVG Elo1235
Design ArenaGPT-5.5 Models Arena UI Component Elo1265
Design ArenaGPT-5.5 Models Arena Website Elo1263
Vals AIGPT 5.5 CaseLaw v266.2%
Vals AIGPT 5.5 Code Migration45.2%
Vals AIGPT 5.5 CorpFin v268.4%
Vals AIGPT 5.5 EMB64.5%
Vals AIGPT 5.5 Finance Agent (v2)51.8%
Vals AIGPT 5.5 GPQA Diamond93.2%
Vals AIGPT 5.5 Harvey's Legal Agent Benchmark3.8%
Vals AIGPT 5.5 LiveCodeBench85.3%
Vals AIGPT 5.5 LegalBench86.5%
Vals AIGPT 5.5 Legal Research Bench40.4%
Vals AIGPT 5.5 MedCode49.1%
Vals AIGPT 5.5 MedScribe86.9%
Vals AIGPT 5.5 MMLU Pro88.1%
Vals AIGPT 5.5 MMMU Pro88.3%
Vals AIGPT 5.5 MortgageTax68.8%
Vals AIGPT 5.5 ProgramBench0.5%
Vals AIGPT 5.5 ProofBench v150.0%
Vals AIGPT 5.5 Vals RSI Index16.5%
Vals AIGPT 5.5 SAGE51.5%
Vals AIGPT 5.5 SkillsBench62.2%
Vals AIGPT 5.5 SRE Bench3.8%
Vals AIGPT 5.5 SWE-bench82.6%
Vals AIGPT 5.5 Tax Agent Bench60.5%
Vals AIGPT 5.5 TaxEval v275.0%
Vals AIGPT 5.5 Terminal-Bench 2.176.4%
Vals AIGPT 5.5 Vals Index68.0%
Vals AIGPT 5.5 Vals Multimodal Index68.1%
Vals AIGPT 5.5 Vibe Code Bench v1.169.8%

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

Activity

Token volume and request traffic to this model over time.

API

Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.

Documentation

Guides, cookbooks, and tools for building with OpenAI: GPT-5.5 on OpenRouter.

  • GPT-5.4 Migration GuideCookbook

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$5.50$33.00$0.55----
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Throughput
158tok/s

P50, best across providers

Latency
1.14s

P50, best provider

AutoExacto benchmarks
GPQA DiamondTAU-BenchAzure94.1%76.7%OpenAI93.9%76.4%auto-routing93.6%74.7%Amazon Bedrock92.6%74.0%Azure (EU)94.1%72.0%Azure (US)92.9%70.7%
Uptime (3d)The model was reachable. Request routed to a provider.
100.00%
Availability (3d)The model returned inference from any provider. Errors and empty responses count against it.
99.69%

Availability over the last 3 days

Last 72 hours
Availability 99.69%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
99.82%
Without Routing
99.29%

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and customization options.

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Frequently asked questions

GPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It features a 1M+ token context window (922K input, 128K output) with support for text and image inputs, enabling large-scale reasoning, coding, and multimodal workflows within a single system.

The GPT-5.5 documentation on OpenRouter includes the GPT-5.4 Migration Guide cookbook. The quickstart covers API keys and your first request, and the API reference lists every parameter.

GPT-5.5 costs $5.00/M input tokens and $30.00/M output tokens, with separate rates for Cache Read at $0.50/M tokens and Web Search at $10.00/1K calls.

GPT-5.5 has a 1,050,000 token context window. It supports up to 128,000 completion tokens.

Yes. GPT-5.5 accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.

GPT-5.5 accepts files such as PDFs, images, and text as input and returns text.

GPT-5.5 is served by 3 providers on OpenRouter: OpenAI, Azure, and Amazon Bedrock. Requests are routed to the best available provider, with automatic failover to the others, and you can pin or exclude providers with provider routing.

GPT-5.5 was released on April 24, 2026. Its knowledge cutoff is December 1, 2025.

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Cost note: pro mode spends far more reasoning tokens per request, so a typical request costs several times more than the same request on GPT-6.1 Sol and takes much longer to complete. It is intended for hard, high-stakes problems where the extra accuracy justifies the cost. For everyday coding, agentic, and chat workloads, use GPT-6.1 Sol instead.

Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

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Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

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