[OpenAI](/ai-gateway/models/labs/openai) # o3-mini o3-mini is a cost-efficient reasoning model in the o3 family, delivering strong chain-of-thought performance on math, code, and science at a fraction of full o3's cost, with configurable reasoning effort for flexible cost-quality tradeoffs. Your use is subject to OpenAI's [Terms](https://openai.com/policies/terms-of-use) & [Privacy](https://openai.com/policies/privacy-policy) Policies. Implicit CachingReasoningTool Use [Use with AI Gateway](https://vercel.com/d?to=%2F%5Bteam%5D%2F%7E%2Fai%3Futm_source%3Dgateway-model-page%26utm_campaign%3Dai-gateway-models&title=Get+Started+with+Vercel+AI+Gateway) [View docs](https://vercel.com/docs/ai-gateway) AI SDKChat CompletionsMessagesResponses ``` 1import { streamText } from 'ai' 2 3const result = streamText({ 4 model: 'openai/o3-mini', 5 prompt: 'Why is the sky blue?' 6}) ``` [Read docs](https://vercel.com/docs/ai-gateway/sdks-and-apis/ai-sdk) [Overview](/ai-gateway/models/o3-mini) [API](/ai-gateway/models/o3-mini/api) [About](/ai-gateway/models/o3-mini/about) [Providers](/ai-gateway/models/o3-mini/providers) [Latency](/ai-gateway/models/o3-mini/latency) [Uptime](/ai-gateway/models/o3-mini/uptime) [Status](/ai-gateway/models/o3-mini/status) [Similar](/ai-gateway/models/o3-mini/similar) [FAQ](/ai-gateway/models/o3-mini/faq) ## [Copy link to heading](#playground)Playground Try out o3-mini by OpenAI. Usage is billed to your team at API rates. Free users (those who haven't made a payment) get $5 of credits every 30 days. ![openai logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Fopenai.png&w=48&q=75)o3-mini ![openai logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Fopenai.png&w=96&q=75) o3-mini ## [Copy link to heading](#providers)Providers Route requests across multiple providers. Copy a provider slug to set your preference. Visit the [docs](/docs/ai-gateway/provider-options) for more info. Using a provider means you agree to their terms, listed under Legal. | Provider | | --- | | Context | Max Output | Latency | Throughput | Input | Output | Cache | Web Search | Capabilities | ZDR | No Training | Free Tier | Release Date | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | ![azure logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Fazure.png&w=48&q=75) [Azure](/ai-gateway/models/providers/azure) Legal:[Terms](https://learn.microsoft.com/en-us/legal/cognitive-services/openai/code-of-conduct)•[Privacy](https://privacy.microsoft.com/en-us/privacystatement) | 200K | 100K | 2.6s | | $1.10/M | $4.40/M | Read:$0.55/M Write:— | $14/K \+ input costs | | | | | 01/31/2025 | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | ![openai logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Fopenai.png&w=48&q=75) [OpenAI](/ai-gateway/models/providers/openai) Legal:[Terms](https://openai.com/policies/terms-of-use)•[Privacy](https://openai.com/policies/privacy-policy) | 200K | 100K | 1.4s | | $1.10/M | $4.40/M | Read:$0.55/M Write:— | — | | | | | 01/31/2025 | | ## [Copy link to heading](#throughput)Throughput24 hours 1W 1D P50 throughput on live AI Gateway traffic, in tokens per second (TPS). Visit the [docs](https://vercel.com/docs/ai-gateway/models-and-providers/metrics) for more info. ## [Copy link to heading](#latency)Latency24 hours 1W 1D P50 time to first token (TTFT) on live AI Gateway traffic, in milliseconds. View the [docs](https://vercel.com/docs/ai-gateway/models-and-providers/metrics) for more info. ## [Copy link to heading](#uptime)Uptime24 hours 1W 1D 1H Direct request success rate on AI Gateway and per-provider. Visit the [docs](https://vercel.com/docs/ai-gateway/models-and-providers/uptime) for more info. 1W 1D 1H ## [Copy link to heading](#more-models-by-openai)More models by OpenAI All Text Code | Model | | --- | | Context | Latency | Throughput | Input | Output | Cache | Web Search | Capabilities | Providers | ZDR | No Training | Free Tier | Release Date | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | ![openai logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Fopenai.png&w=48&q=75) [openai/gpt-5.6-luna](/ai-gateway/models/gpt-5.6-luna) | 1.1M | 2.1s | 163tps | $0.20/MFast $0.40/M+1 more | $1.20/MFast $2.40/M+1 more | Read: $0.02/M+1 more Write: $0.25/M+1 more | $10/K \+ input costs | +4 | ![azure logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Fazure.png&w=48&q=75) ![bedrock logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Famazon%2520bedrock.png&w=48&q=75) ![openai logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Fopenai.png&w=48&q=75) | | | | 07/09/2026 | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | ![openai logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Fopenai.png&w=48&q=75) [openai/gpt\-5.6-sol](/ai-gateway/models/gpt-5.6-sol) | 1.1M | 2.1s | 137tps | $4/M$2/M Fast $4/M+1 more | $20/M$10/M Fast $20/M+1 more | Read: $0.40/M$0.20/M+1 more Write: $5/M$2.50/M+1 more | $10/K \+ input costs | +4 | ![azure logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Fazure.png&w=48&q=75) ![bedrock logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Famazon%2520bedrock.png&w=48&q=75) ![openai logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Fopenai.png&w=48&q=75) | | | | 07/09/2026 | | | ![openai logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Fopenai.png&w=48&q=75) [openai/gpt-5.6-terra](/ai-gateway/models/gpt-5.6-terra) | 1.1M | 1.9s | 113tps | $2/MFast $4/M+1 more | $12/MFast $24/M+1 more | Read: $0.20/M+1 more Write: $2.50/M+1 more | $10/K \+ input costs | +4 | ![azure logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Fazure.png&w=48&q=75) ![bedrock logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Famazon%2520bedrock.png&w=48&q=75) ![openai logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Fopenai.png&w=48&q=75) | | | | 07/09/2026 | | | ![openai logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Fopenai.png&w=48&q=75) [openai/gpt-5.4](/ai-gateway/models/gpt-5.4) | 1.1M | 0.6s | 94tps | $2.50/MFast $5/M+1 more | $15/MFast $30/M+1 more | Read: $0.25/M+1 more Write: — | $10/K \+ input costs | +4 | ![azure logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Fazure.png&w=48&q=75) ![openai logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Fopenai.png&w=48&q=75) | | | | 03/05/2026 | | | ![openai logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Fopenai.png&w=48&q=75) [openai/gpt-5-nano](/ai-gateway/models/gpt-5-nano) | 400K | 5.4s | 229tps | $0.05/M | $0.40/M | Read:$0.005/M Write:— | $14/K \+ input costs | +3 | ![azure logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Fazure.png&w=48&q=75) ![openai logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Fopenai.png&w=48&q=75) | | | | 08/07/2025 | | | ![openai logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Fopenai.png&w=48&q=75) [openai/gpt-5-mini](/ai-gateway/models/gpt-5-mini) | 400K | 3.6s | 92tps | $0.25/MFast $0.45/M | $2/MFast $3.60/M | Read:$0.03/M Write:— | $14/K \+ input costs | +3 | ![azure logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Fazure.png&w=48&q=75) ![openai logo](/vc-ap-vercel-marketing/_next/image?url=https%3A%2F%2F7nyt0uhk7sse4zvn.public.blob.vercel-storage.com%2Fdocs-assets%2Fstatic%2Fdocs%2Fai-gateway%2Flogos%2Fopenai.png&w=48&q=75) | | | | 08/07/2025 | | ## [Copy link to heading](#about-o3-mini)About o3-mini o3-mini was released on January 31, 2025 as the cost-efficient tier of the o3 reasoning model family. It continues the pattern established by o1-mini: delivering strong chain-of-thought reasoning on structured domains (mathematics, coding, science) at a fraction of the full model's cost. The model supports the `reasoning_effort` parameter, letting you control reasoning depth per request. Low effort for straightforward technical queries conserves tokens and reduces cost; high effort for competition-level problems applies the full reasoning capability. This flexibility lets you use o3-mini as the default for all technical queries rather than maintaining a routing layer. With a context window of 200K tokens and support for the standard API features, o3-mini handles the same types of requests as full o3. The tradeoff is concentrated in reasoning depth: on the hardest problems, full o3 will produce more thorough analysis. ## [Copy link to heading](#what-to-consider-when-choosing-a-provider)What To Consider When Choosing a Provider - Configuration: o3-mini makes chain-of-thought reasoning affordable enough to run on every request rather than reserving it for the hardest problems. The `reasoning_effort` parameter enables further cost optimization. - Configuration: Like o1-mini before it, o3-mini concentrates its reasoning capability on structured problem domains rather than broad general knowledge. - Zero Data Retention: Zero Data Retention is available for this model. It is offered on a per-provider and model basis. See the [documentation](https://vercel.com/docs/ai-gateway/security-and-compliance/zdr) for details. - Authentication: AI Gateway authenticates requests using an [API key](https://vercel.com/docs/ai-gateway/authentication-and-byok#api-key-authentication) or [OIDC token](https://vercel.com/docs/ai-gateway/authentication-and-byok#oidc-token-authentication). You do not need to manage provider credentials directly. ## [Copy link to heading](#when-to-use-o3-mini)When to Use o3-mini ### Best for - Math and science reasoning: Competition-level problems, derivations, and quantitative analysis at accessible cost - Code reasoning: Algorithm analysis, debugging, and optimization with step-by-step deliberation - High-frequency reasoning pipelines: Per-request chain-of-thought on technical workloads at scale - Education platforms: Tutoring and problem-solving assistance with visible reasoning steps - Cost-optimized reasoning: Tasks that benefit from deliberation but don't justify full o3 pricing ### Consider alternatives when - Maximum reasoning quality: Full o3 for the hardest problems where every increment of accuracy matters - Broader knowledge needed: Full o3 or GPT-5 for tasks requiring wide-ranging factual recall - Fastest reasoning: O4-mini for a newer cost-efficient reasoning option with vision support - General-purpose tasks: GPT-5 mini for workloads that don't benefit from chain-of-thought ## [Copy link to heading](#conclusion)Conclusion o3-mini makes chain-of-thought reasoning broadly accessible by bringing o3-family performance to a cost tier that scales. For technical workloads on AI Gateway where per-request reasoning is desirable but full o3 pricing is not, it provides the right balance.