Where is the GPT-5 Mini documentation?

The GPT-5 Mini documentation on OpenRouter includes the GPT-5 is now live blog post. The quickstart covers API keys and your first request, and the API reference lists every parameter.

How much does GPT-5 Mini cost?

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.

What is the context length of GPT-5 Mini?

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

Does GPT-5 Mini support tool calling and structured outputs?

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

What inputs and outputs does GPT-5 Mini support?

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

Which providers serve GPT-5 Mini?

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.

When was GPT-5 Mini released?

GPT-5 Mini was released on August 7, 2025. Its knowledge cutoff is May 31, 2024.

OpenAI: GPT-5 Mini

openai/gpt-5-mini

Compare

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

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), or Floor (cheapest).

Latency / throughput


	$0.25	$2.00	$0.03	2.35s	77 tok/s	100.00%
	$0.25	$2.00	$0.025	4.32s	66 tok/s	100.00%
Not used in Standard routing:Why these endpoints are not used
Flex	$0.125	$1.00	$0.0125	3.04s	58 tok/s	100.00%
	$0.275	$2.20	$0.033	2.57s	113 tok/s	100.00%

Input $0.25Output $2.00
77 tok/s100.00% uptime
Input $0.25Output $2.00
66 tok/s100.00% uptime
Not used in Standard routing:Why these endpoints are not used
Input $0.125Output $1.00
Flex
58 tok/s100.00% uptime
Input $0.275Output $2.20
113 tok/s100.00% uptime

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.

Weighted average

Input

$0.1413/M tokens

Output

$1.991/M tokens

GPT-5 Mini — Price history

Price history

No effective price data for this selection

		$0.1390	$2.00	49.3%	89.1%
		$0.1774	$2.00	32.9%	8.0%
Not used in Standard routing:Why these endpoints are not used
	Flex	$0.0667	$1.00	51.8%	1.4%
		$0.1980	$2.20	31.8%	1.5%

Effective in $0.1390Effective out $2.00
Token share
89.1%
Effective in $0.1774Effective out $2.00
Token share
8.0%
Not used in Standard routing:Why these endpoints are not used
Effective in $0.0667Effective out $1.00
FlexToken share
1.4%
Effective in $0.1980Effective out $2.20
Token share
1.5%

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.

Uptime (3d)

100.00%

Availability (3d)

99.85%

Availability over the last 3 days

Last 72 hours

Availability 99.85%

3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability

99.87%

Without Routing

97.22%

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 provider routing options.

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)
Source	Benchmark	Score
Artificial Analysis	GPT-5 mini (Minimal) GPQA Diamond	68.7%
Artificial Analysis	GPT-5 mini (Minimal) HLE	5.1%
Artificial Analysis	GPT-5 mini (Minimal) IFBench	45.6%
Artificial Analysis	GPT-5 mini (Minimal) τ²-Bench Telecom	31.9%
Artificial Analysis	GPT-5 mini (Minimal) AA-LCR	39.3%
Artificial Analysis	GPT-5 mini (Minimal) CritPt	0.0%
Artificial Analysis	GPT-5 mini (Minimal) LiveCodeBench	54.5%
Artificial Analysis	GPT-5 mini (Minimal) Terminal-Bench Hard	14.4%
Artificial Analysis	GPT-5 mini (Minimal) MMLU-Pro	77.5%
Artificial Analysis	GPT-5 mini (Minimal) AIME 2025	46.7%
Artificial Analysis	GPT-5 mini (Medium) GPQA Diamond	80.3%
Artificial Analysis	GPT-5 mini (Medium) HLE	15.9%
Artificial Analysis	GPT-5 mini (Medium) IFBench	71.2%
Artificial Analysis	GPT-5 mini (Medium) τ²-Bench Telecom	71.1%
Artificial Analysis	GPT-5 mini (Medium) AA-LCR	72.3%
Artificial Analysis	GPT-5 mini (Medium) CritPt	1.4%
Artificial Analysis	GPT-5 mini (Medium) LiveCodeBench	69.2%
Artificial Analysis	GPT-5 mini (Medium) Terminal-Bench Hard	28.8%
Artificial Analysis	GPT-5 mini (Medium) MMLU-Pro	82.8%
Artificial Analysis	GPT-5 mini (Medium) AIME 2025	85.0%
Artificial Analysis	GPT-5 mini (High) Coding Index	15.6
Artificial Analysis	GPT-5 mini (High) Agentic Index	6.8
Artificial Analysis	GPT-5 mini (High) GPQA Diamond	82.8%
Artificial Analysis	GPT-5 mini (High) HLE	21.5%
Artificial Analysis	GPT-5 mini (High) IFBench	75.4%
Artificial Analysis	GPT-5 mini (High) τ²-Bench Telecom	68.4%
Artificial Analysis	GPT-5 mini (High) AA-LCR	72.3%
Artificial Analysis	GPT-5 mini (High) τ-Bench Banking	15.5%
Artificial Analysis	GPT-5 mini (High) GDPval-AA	13.7%
Artificial Analysis	GPT-5 mini (High) CritPt	0.0%
Artificial Analysis	GPT-5 mini (High) LiveCodeBench	83.8%
Artificial Analysis	GPT-5 mini (High) SciCode	39.0%
Artificial Analysis	GPT-5 mini (High) Terminal-Bench Hard	33.3%
Artificial Analysis	GPT-5 mini (High) Terminal-Bench 4.0	0.0%
Artificial Analysis	GPT-5 mini (High) Terminal-Bench 2.1	3.7%
Artificial Analysis	GPT-5 mini (High) MMLU-Pro	83.7%
Artificial Analysis	GPT-5 mini (High) AIME 2025	90.7%
Design Arena	GPT-5 mini (Default) Models Arena 3D Elo	1016
Design Arena	GPT-5 mini (Default) Models Arena Asciiart Elo	1119
Design Arena	GPT-5 mini (Default) Models Arena Code Categories Elo	1104
Design Arena	GPT-5 mini (Default) Models Arena Data Visualization Elo	1127
Design Arena	GPT-5 mini (Default) Models Arena Game Development Elo	1119
Design Arena	GPT-5 mini (Default) Models Arena SVG Elo	1080
Design Arena	GPT-5 mini (Default) Models Arena UI Component Elo	1096
Design Arena	GPT-5 mini (Default) Models Arena Website Elo	1117
Vals AI	GPT 5 Mini AIME	91.5%
Vals AI	GPT 5 Mini CaseLaw v2	68.5%
Vals AI	GPT 5 Mini CorpFin v2	60.2%
Vals AI	GPT 5 Mini Finance Agent v1.1	51.9%
Vals AI	GPT 5 Mini GPQA Diamond	80.3%
Vals AI	GPT 5 Mini IOI v1	6.8%
Vals AI	GPT 5 Mini LiveCodeBench	86.6%
Vals AI	GPT 5 Mini LegalBench	81.8%
Vals AI	GPT 5 Mini MATH 500	94.8%
Vals AI	GPT 5 Mini MedCode	43.0%
Vals AI	GPT 5 Mini MedQA	96.1%
Vals AI	GPT 5 Mini MedScribe	80.6%
Vals AI	GPT 5 Mini MGSM	92.6%
Vals AI	GPT 5 Mini MMLU Pro	82.2%
Vals AI	GPT 5 Mini MMMU Pro	78.9%
Vals AI	GPT 5 Mini MortgageTax	66.9%
Vals AI	GPT 5 Mini ProofBench v1	9.0%
Vals AI	GPT 5 Mini SAGE v1	43.0%
Vals AI	GPT 5 Mini SWE-bench	60.8%
Vals AI	GPT 5 Mini TaxEval v2	75.2%
Vals AI	GPT 5 Mini Terminal-Bench 2.0	27.0%
Vals AI	GPT 5 Mini Vals Index	44.5%
Vals AI	GPT 5 Mini Vals Multimodal Index	46.2%
Vals AI	GPT 5 Mini Vibe Code Bench v1.1	14.2%

Available through EU in-region routing

OpenAI: GPT-5 Mini is available through EU in-region routing. Requests sent to eu.openrouter.ai are decrypted in the EU and routed only to shared provider endpoints in Europe (the EU/EEA, the UK, and Switzerland).

Providers in Europe

Azure

Prices in Europe

Azure: $0.275/M tokens input, $2.20/M tokens output

Base URL

https://eu.openrouter.ai/api/v1

Plan

Requires Business or Enterprise. Self-serve on Business: no contract, no monthly minimum. OpenRouter Business for EU in-region routing

Fails closed: if no shared provider endpoint in Europe is available, the request errors instead of leaving the region. Requests served by your own BYOK key go to your deployment’s region, which you control. In-region routing docs

More models from OpenAI

GPT Image 2.6 Sunburst

GPT Image 2.6 Sunburst is OpenAI's image generation and editing model optimized for detail: dense compositions, text-heavy layouts, and edits that keep details consistent from one edit to the next at medium or high quality, generating about 50% faster than GPT Image 2.5. It takes text and image inputs and produces images, with quality tiers from low to max, transparent backgrounds, and custom sizes in multiples of 16 pixels at aspect ratios from 1:3 to 3:1. GPT Image 2.6 introduces a complexity setting for how much the model plans before rendering, markup-guided edits, animated GIF output, and SVG output. Choose Flare instead when speed matters more than fine detail.

Image$8 / $30

GPT Image 2.6 Flare

GPT Image 2.6 Flare is OpenAI's image generation and editing model optimized for speed: fast iteration and interactive text-to-image and image-to-image workflows, generating about 50% faster than GPT Image 2.5. It takes text and image inputs and produces images, with quality tiers from low to max, transparent backgrounds, and custom sizes in multiples of 16 pixels at aspect ratios from 1:3 to 3:1. GPT Image 2.6 introduces a complexity setting for how much the model plans before rendering, markup-guided edits, animated GIF output, and SVG output. Choose Sunburst instead when detail and edit-to-edit consistency matter more than latency.

Image$8 / $30

GPT-6.1 Terra Pro

GPT-6.1 Terra Pro is the same underlying model as GPT-6.1 Terra, 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 Terra 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 Terra 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 Terra Pro (batch)

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

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

Text1.1M context$0.50 / $2.50

GPT-6.1 Terra

GPT-6.1 Terra is the mid-tier model in OpenAI's GPT-6.1 series, priced below GPT-6.1 Sol. It is suited for everyday agentic, coding, and writing work, is particularly strong at understanding screenshots and on-screen content, and is efficient enough for high-volume workloads.

Text1.1M context$1 / $5

GPT-6.1 Terra (batch)

Text1.1M context$0.50 / $2.50

GPT-6 Luna Decisions

GPT-6 Luna Decisions is GPT-6 Luna served through OpenAI's Decisions API. Instead of generating text, it reads the content passed as state (text, JSON, or images) and returns typed, probabilistic answers to named questions in a single request: the probability of yes for a yes/no question (noul), a probability for every option plus the most likely one (choice), or a probability for every level of an ordered rubric plus the expected score (score).

It is built for classification, routing, moderation, and rubric grading where application code thresholds the returned numbers rather than parsing a chat reply. A request can carry up to 200 questions about the same content.

Decisions$0.10 / $0

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 (batch)

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.

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 (batch)

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 (batch)

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.

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 (batch)

Text1.1M context$0.05 / $0.25

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 (batch)

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.

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.

Text1.1M context$2 / $10

GPT-6 Sol (batch)

Text1.1M context$1 / $5

GPT Astra Latest

This model always redirects to the latest model in the GPT Astra family.

Text1.1M context

OpenAI: GPT-5 Mini

Providers