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Favicon for openai

OpenAI: GPT-5

openai/gpt-5

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GPT-5 is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and accuracy in high-stakes use cases. It supports test-time routing features and advanced prompt understanding, including user-specified intent like "think hard about this." Improvements include reductions in hallucination, sycophancy, and better performance in coding, writing, and health-related tasks.

Modalities
In / Out Price
$1.25 / $10per 1M
Context
400K
Released
Aug 7, 2025
Knowledge Cutoff
Sep 2024
Compare
ProvidersPricingPerformanceUptimeBenchmarksAppsActivityFAQExplore

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 (Artificial Analysis and Design Arena)
SourceBenchmarkScore
Artificial AnalysisGPT-5 (medium) GPQA Diamond84.2%
Artificial AnalysisGPT-5 (medium) HLE25.4%
Artificial AnalysisGPT-5 (medium) IFBench70.6%
Artificial AnalysisGPT-5 (medium) τ²-Bench Telecom86.5%
Artificial AnalysisGPT-5 (medium) AA-LCR76.0%
Artificial AnalysisGPT-5 (medium) CritPt0.0%
Artificial AnalysisGPT-5 (medium) Terminal-Bench Hard37.9%
Artificial AnalysisGPT-5 (medium) AA-Omniscience Accuracy39.5%
Artificial AnalysisGPT-5 (medium) AA-Omniscience Non-Hallucination Rate16.8%
Artificial AnalysisGPT-5 (minimal) GPQA Diamond67.3%
Artificial AnalysisGPT-5 (minimal) HLE6.0%
Artificial AnalysisGPT-5 (minimal) IFBench45.6%
Artificial AnalysisGPT-5 (minimal) τ²-Bench Telecom67.0%
Artificial AnalysisGPT-5 (minimal) CritPt0.0%
Artificial AnalysisGPT-5 (minimal) Terminal-Bench Hard18.2%
Artificial AnalysisGPT-5 (minimal) AA-Omniscience Accuracy29.6%
Artificial AnalysisGPT-5 (minimal) AA-Omniscience Non-Hallucination Rate9.9%
Artificial AnalysisGPT-5 (low) GPQA Diamond80.8%
Artificial AnalysisGPT-5 (low) HLE19.6%
Artificial AnalysisGPT-5 (low) IFBench66.6%
Artificial AnalysisGPT-5 (low) τ²-Bench Telecom84.2%
Artificial AnalysisGPT-5 (low) CritPt1.1%
Artificial AnalysisGPT-5 (low) Terminal-Bench Hard26.5%
Artificial AnalysisGPT-5 (low) AA-Omniscience Accuracy38.1%
Artificial AnalysisGPT-5 (low) AA-Omniscience Non-Hallucination Rate21.0%
Artificial AnalysisGPT-5 (high) Coding Index37.8
Artificial AnalysisGPT-5 (high) GPQA Diamond85.4%
Artificial AnalysisGPT-5 (high) HLE28.5%
Artificial AnalysisGPT-5 (high) IFBench73.1%
Artificial AnalysisGPT-5 (high) τ²-Bench Telecom84.8%
Artificial AnalysisGPT-5 (high) AA-LCR78.2%
Artificial AnalysisGPT-5 (high) GDPval-AA20.3%
Artificial AnalysisGPT-5 (high) CritPt5.7%
Artificial AnalysisGPT-5 (high) Terminal-Bench Hard32.6%
Artificial AnalysisGPT-5 (high) AA-Omniscience Accuracy40.3%
Artificial AnalysisGPT-5 (high) AA-Omniscience Non-Hallucination Rate17.8%
Design ArenaGPT-5 (Minimal) Models Arena 3D Elo1074
Design ArenaGPT-5 (Minimal) Models Arena Asciiart Elo1155
Design ArenaGPT-5 (Minimal) Models Arena Code Categories Elo1174
Design ArenaGPT-5 (Minimal) Models Arena Data Visualization Elo1186
Design ArenaGPT-5 (Minimal) Models Arena Game Development Elo1168
Design ArenaGPT-5 (Minimal) Models Arena SVG Elo1124
Design ArenaGPT-5 (Minimal) Models Arena UI Component Elo1155
Design ArenaGPT-5 (Minimal) Models Arena Website Elo1192

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.

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Throughput
75tok/s

P50, best across providers

Latency
3.78s

P50, best provider

AutoExacto benchmarks
GPQA DiamondTAU-BenchOpenAI84.8%71.3%Azure85.0%70.7%Azure (EU)85.5%70.0%auto-routing86.0%64.7%
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.
94.38%

Availability over the last 3 days

Last 72 hours
Availability 94.38%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
99.97%
Without Routing
74.24%

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 is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and accuracy in high-stakes use cases.

GPT-5 costs $1.25/M input tokens and $10.00/M output tokens, with separate rates for Cache Read at $0.125/M tokens.

GPT-5 has a 400,000 token context window. It supports up to 128,000 completion tokens.

Yes. GPT-5 accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.

GPT-5 accepts text, images, and files such as PDFs as input and returns text.

GPT-5 is served by 2 providers on OpenRouter: Azure and OpenAI. 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 was released on August 7, 2025. Its knowledge cutoff is September 30, 2024.

More models from OpenAI

GPT-6.1 Sol Pro

GPT-6.1 Sol Pro is the same underlying model as GPT-6.1 Sol, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

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

Text1.1M context$2 / $10
GPT-6.1 Sol Pro

GPT-6.1 Sol Pro is the same underlying model as GPT-6.1 Sol, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

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

Text1.1M context$1 / $5
GPT-6.1 Sol

GPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series. It is suited for agentic coding, computer use, document-heavy professional work, and multi-step business workflow automation, and approaches Astra-level results on these tasks at a much lower cost. Compared with GPT-6 Sol, it makes fewer factual errors and is more reliable at respecting explicit restrictions and user intent during agentic tasks.

Text1.1M context$2 / $10
GPT-6.1 Sol

GPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series. It is suited for agentic coding, computer use, document-heavy professional work, and multi-step business workflow automation, and approaches Astra-level results on these tasks at a much lower cost. Compared with GPT-6 Sol, it makes fewer factual errors and is more reliable at respecting explicit restrictions and user intent during agentic tasks.

Text1.1M context$1 / $5
GPT-6 Luna Pro

GPT-6 Luna Pro is the same underlying model as GPT-6 Luna, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

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 Luna 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 Luna instead.

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

Text1.1M context$0.10 / $0.50
GPT-6 Luna Pro

GPT-6 Luna Pro is the same underlying model as GPT-6 Luna, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

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 Luna 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 Luna instead.

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

Text1.1M context$0.05 / $0.25
GPT-6 Luna

GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol. It is suited for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic tasks, and at higher reasoning effort it can take on complex software engineering and computer-use tasks that previously called for a Sol-tier model. It shares the GPT-6 family's gains in factual reliability and its clearer, more concise communication style.

Text1.1M context$0.10 / $0.50
GPT-6 Luna

GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol. It is suited for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic tasks, and at higher reasoning effort it can take on complex software engineering and computer-use tasks that previously called for a Sol-tier model. It shares the GPT-6 family's gains in factual reliability and its clearer, more concise communication style.

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GPT-6 Sol Pro

GPT-6 Sol Pro is the same underlying model as GPT-6 Sol, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

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 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 Sol instead.

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

Text1.1M context$2 / $10
GPT-6 Sol Pro

GPT-6 Sol Pro is the same underlying model as GPT-6 Sol, served with reasoning.mode set to pro for higher-quality responses on complex tasks.

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 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 Sol instead.

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

Text1.1M context$1 / $5
GPT-6 Sol

GPT-6 Sol is the cost-efficient high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra and above the fast GPT-6 Luna tier. It is suited for demanding professional work, agentic coding, business workflow automation, and computer use, and is particularly strong at long-horizon software engineering tasks in real codebases. It approaches Astra-level factual reliability at a much lower cost and shares Astra's clearer, more concise communication style in technical and coding conversations.

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GPT-6 Sol

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