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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 and Design Arena)
SourceBenchmarkScore
Artificial AnalysisGPT-5 mini (high) Intelligence Index16.8
Artificial AnalysisGPT-5 mini (high) Coding Index15.6
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) GDPval-AA12.7%
Artificial AnalysisGPT-5 mini (high) CritPt0.0%
Artificial AnalysisGPT-5 mini (high) SciCode39.0%
Artificial AnalysisGPT-5 mini (high) Terminal-Bench Hard33.3%
Artificial AnalysisGPT-5 mini (high) AA-Omniscience Accuracy25.0%
Artificial AnalysisGPT-5 mini (high) AA-Omniscience Non-Hallucination Rate43.6%
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) Terminal-Bench Hard28.8%
Artificial AnalysisGPT-5 mini (medium) AA-Omniscience Accuracy23.1%
Artificial AnalysisGPT-5 mini (medium) AA-Omniscience Non-Hallucination Rate55.7%
Artificial AnalysisGPT-5 mini (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) Terminal-Bench Hard14.4%
Artificial AnalysisGPT-5 mini (minimal) AA-Omniscience Accuracy19.2%
Artificial AnalysisGPT-5 mini (minimal) AA-Omniscience Non-Hallucination Rate10.7%
Design ArenaGPT-5 mini (Default) Models Arena 3D Elo1055
Design ArenaGPT-5 mini (Default) Models Arena Asciiart Elo1138
Design ArenaGPT-5 mini (Default) Models Arena Code Categories Elo1124
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 Elo1089
Design ArenaGPT-5 mini (Default) Models Arena UI Component Elo1116
Design ArenaGPT-5 mini (Default) Models Arena Website Elo1133

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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Uptime (3d)The model was reachable. Request routed to a provider.
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Availability (3d)The model returned inference from any provider. Errors and empty responses count against it.
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Availability over the last 3 days

Last 72 hours
Availability 99.44%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
99.88%
Without Routing
99.09%

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.

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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

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

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