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Favicon for openai

OpenAI: GPT-5 Mini

openai/gpt-5-mini

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GPT-5 Mini is a compact version of GPT-5, designed to handle lighter-weight reasoning tasks. It provides the same instruction-following and safety-tuning benefits as GPT-5, but with reduced latency and cost. GPT-5 Mini is the successor to OpenAI's o4-mini model.

Modalities
In / Out Price
$0.25 / $2per 1M
Context
400K
Released
Aug 7, 2025
Knowledge Cutoff
May 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 Mini (Artificial Analysis, Design Arena and Vals AI)
SourceBenchmarkScore
Artificial AnalysisGPT-5 mini (Medium) Intelligence Index20.6
Artificial AnalysisGPT-5 mini (Medium) Math Index85.0
Artificial AnalysisGPT-5 mini (Medium) GPQA Diamond80.3%
Artificial AnalysisGPT-5 mini (Medium) HLE15.9%
Artificial AnalysisGPT-5 mini (Medium) IFBench71.2%
Artificial AnalysisGPT-5 mini (Medium) τ²-Bench Telecom71.1%
Artificial AnalysisGPT-5 mini (Medium) AA-LCR72.3%
Artificial AnalysisGPT-5 mini (Medium) CritPt1.4%
Artificial AnalysisGPT-5 mini (Medium) LiveCodeBench69.2%
Artificial AnalysisGPT-5 mini (Medium) Terminal-Bench Hard28.8%
Artificial AnalysisGPT-5 mini (Medium) MMLU-Pro82.8%
Artificial AnalysisGPT-5 mini (Medium) AA-Omniscience Accuracy23.1%
Artificial AnalysisGPT-5 mini (Medium) AA-Omniscience Non-Hallucination Rate55.7%
Artificial AnalysisGPT-5 mini (Medium) AIME 202585.0%
Artificial AnalysisGPT-5 mini (High) Intelligence Index16.8
Artificial AnalysisGPT-5 mini (High) Coding Index15.6
Artificial AnalysisGPT-5 mini (High) Math Index90.7
Artificial AnalysisGPT-5 mini (High) Agentic Index6.8
Artificial AnalysisGPT-5 mini (High) GPQA Diamond82.8%
Artificial AnalysisGPT-5 mini (High) HLE21.5%
Artificial AnalysisGPT-5 mini (High) IFBench75.4%
Artificial AnalysisGPT-5 mini (High) τ²-Bench Telecom68.4%
Artificial AnalysisGPT-5 mini (High) AA-LCR72.3%
Artificial AnalysisGPT-5 mini (High) τ-Bench Banking15.5%
Artificial AnalysisGPT-5 mini (High) GDPval-AA13.5%
Artificial AnalysisGPT-5 mini (High) CritPt0.0%
Artificial AnalysisGPT-5 mini (High) LiveCodeBench83.8%
Artificial AnalysisGPT-5 mini (High) SciCode39.0%
Artificial AnalysisGPT-5 mini (High) Terminal-Bench Hard33.3%
Artificial AnalysisGPT-5 mini (High) Terminal-Bench 4.00.0%
Artificial AnalysisGPT-5 mini (High) Terminal-Bench 2.13.7%
Artificial AnalysisGPT-5 mini (High) MMLU-Pro83.7%
Artificial AnalysisGPT-5 mini (High) AA-Omniscience Accuracy25.0%
Artificial AnalysisGPT-5 mini (High) AA-Omniscience Non-Hallucination Rate43.6%
Artificial AnalysisGPT-5 mini (High) AIME 202590.7%
Artificial AnalysisGPT-5 mini (Minimal) Intelligence Index9.9
Artificial AnalysisGPT-5 mini (Minimal) Math Index46.7
Artificial AnalysisGPT-5 mini (Minimal) GPQA Diamond68.7%
Artificial AnalysisGPT-5 mini (Minimal) HLE5.1%
Artificial AnalysisGPT-5 mini (Minimal) IFBench45.6%
Artificial AnalysisGPT-5 mini (Minimal) τ²-Bench Telecom31.9%
Artificial AnalysisGPT-5 mini (Minimal) AA-LCR39.3%
Artificial AnalysisGPT-5 mini (Minimal) CritPt0.0%
Artificial AnalysisGPT-5 mini (Minimal) LiveCodeBench54.5%
Artificial AnalysisGPT-5 mini (Minimal) Terminal-Bench Hard14.4%
Artificial AnalysisGPT-5 mini (Minimal) MMLU-Pro77.5%
Artificial AnalysisGPT-5 mini (Minimal) AA-Omniscience Accuracy19.2%
Artificial AnalysisGPT-5 mini (Minimal) AA-Omniscience Non-Hallucination Rate10.7%
Artificial AnalysisGPT-5 mini (Minimal) AIME 202546.7%
Design ArenaGPT-5 mini (Default) Models Arena 3D Elo1052
Design ArenaGPT-5 mini (Default) Models Arena Asciiart Elo1134
Design ArenaGPT-5 mini (Default) Models Arena Code Categories Elo1121
Design ArenaGPT-5 mini (Default) Models Arena Data Visualization Elo1139
Design ArenaGPT-5 mini (Default) Models Arena Game Development Elo1142
Design ArenaGPT-5 mini (Default) Models Arena SVG Elo1090
Design ArenaGPT-5 mini (Default) Models Arena UI Component Elo1113
Design ArenaGPT-5 mini (Default) Models Arena Website Elo1132
Vals AIGPT 5 Mini AIME91.5%
Vals AIGPT 5 Mini CaseLaw v268.5%
Vals AIGPT 5 Mini CorpFin v260.2%
Vals AIGPT 5 Mini Finance Agent v1.151.9%
Vals AIGPT 5 Mini GPQA Diamond80.3%
Vals AIGPT 5 Mini IOI v16.8%
Vals AIGPT 5 Mini LiveCodeBench86.6%
Vals AIGPT 5 Mini LegalBench81.8%
Vals AIGPT 5 Mini MATH 50094.8%
Vals AIGPT 5 Mini MedCode43.0%
Vals AIGPT 5 Mini MedQA96.1%
Vals AIGPT 5 Mini MedScribe80.6%
Vals AIGPT 5 Mini MGSM92.6%
Vals AIGPT 5 Mini MMLU Pro82.2%
Vals AIGPT 5 Mini MMMU Pro78.9%
Vals AIGPT 5 Mini MortgageTax66.9%
Vals AIGPT 5 Mini ProofBench v19.0%
Vals AIGPT 5 Mini SAGE43.0%
Vals AIGPT 5 Mini SWE-bench60.8%
Vals AIGPT 5 Mini TaxEval v275.2%
Vals AIGPT 5 Mini Terminal-Bench 2.027.0%
Vals AIGPT 5 Mini Vals Index44.5%
Vals AIGPT 5 Mini Vals Multimodal Index46.2%
Vals AIGPT 5 Mini Vibe Code Bench v1.114.2%

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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P50, best across providers

Latency
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P50, best provider

AutoExacto benchmarks
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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.
99.91%

Availability over the last 3 days

Last 72 hours
Availability 99.91%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
99.93%
Without Routing
99.32%

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 Mini is a compact version of GPT-5, designed to handle lighter-weight reasoning tasks. It provides the same instruction-following and safety-tuning benefits as GPT-5, but with reduced latency and cost. GPT-5 Mini is the successor to OpenAI's o4-mini model.

GPT-5 Mini costs $0.25/M input tokens and $2.00/M output tokens, with separate rates for Cache Read at $0.03/M tokens.

GPT-5 Mini has a 400,000 token context window.

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

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

GPT-5 Mini is served by 2 providers on OpenRouter: OpenAI and Azure. 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 Mini was released on August 7, 2025. Its knowledge cutoff is May 31, 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

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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.

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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

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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.

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

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GPT-6 Astra

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GPT-6 Astra Pro

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

Text1.1M context$10 / $50
GPT-6 Astra Pro

GPT-6 Astra Pro is the same underlying model as GPT-6 Astra, 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 Astra 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 Astra instead.

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

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