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GPT-4o Mini (07-18) vs o1 (12-17)

GPT-4o Mini (07-18) (2024) and o1 (12-17) (2024) are frontier reasoning models from OpenAI. GPT-4o Mini (07-18) ships a 128K-token context window, while o1 (12-17) ships a 128K-token context window. On pricing, GPT-4o Mini (07-18) costs $0.15/1M input tokens versus $15/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing.

GPT-4o Mini (07-18) is ~9900% cheaper at $0.15/1M; pay for o1 (12-17) only for coding workflow support.

Specs

Specification
Released2024-07-182024-12-17
Context window128K128K
Parameters
Architecturedecoder onlydecoder only
LicenseProprietaryProprietary
Knowledge cutoff2023-10-

Pricing and availability

Pricing attributeGPT-4o Mini (07-18)o1 (12-17)
Input price$0.15/1M tokens$15/1M tokens
Output price$0.6/1M tokens$60/1M tokens
Providers

Capabilities

CapabilityGPT-4o Mini (07-18)o1 (12-17)
VisionYesNo
MultimodalNoNo
ReasoningNoYes
Function callingNoNo
Tool useNoNo
Structured outputsYesNo
Code executionYesYes

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on vision: GPT-4o Mini (07-18), reasoning mode: o1 (12-17), and structured outputs: GPT-4o Mini (07-18). Both models share code execution, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.

For cost, GPT-4o Mini (07-18) lists $0.15/1M input and $0.6/1M output tokens, while o1 (12-17) lists $15/1M input and $60/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts GPT-4o Mini (07-18) lower by about $28.21 per million blended tokens. Availability is 3 providers versus 2, so concentration risk also matters.

Choose GPT-4o Mini (07-18) when coding workflow support, lower input-token cost, and broader provider choice are central to the workload. Choose o1 (12-17) when coding workflow support are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency.

FAQ

Which has a larger context window, GPT-4o Mini (07-18) or o1 (12-17)?

GPT-4o Mini (07-18) supports 128K tokens, while o1 (12-17) supports 128K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Which is cheaper, GPT-4o Mini (07-18) or o1 (12-17)?

GPT-4o Mini (07-18) is cheaper on tracked token pricing. GPT-4o Mini (07-18) costs $0.15/1M input and $0.6/1M output tokens. o1 (12-17) costs $15/1M input and $60/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is GPT-4o Mini (07-18) or o1 (12-17) open source?

GPT-4o Mini (07-18) is listed under Proprietary. o1 (12-17) is listed under Proprietary. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.

Which is better for vision, GPT-4o Mini (07-18) or o1 (12-17)?

GPT-4o Mini (07-18) has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for reasoning mode, GPT-4o Mini (07-18) or o1 (12-17)?

o1 (12-17) has the clearer documented reasoning mode signal in this comparison. If reasoning mode is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Where can I run GPT-4o Mini (07-18) and o1 (12-17)?

GPT-4o Mini (07-18) is available on OpenAI API, OpenRouter, and Replicate API. o1 (12-17) is available on Replicate API and OpenAI API. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.