OpenAI API pricing: every model, every rate

By the aitokensai editors · Verified 2026-11-02 Sources: OpenAI official pricing · OpenAI API docs

OpenAI's catalogue has grown faster than its pricing page. Below is every model currently billable, with the rate you actually pay per million tokens.

Full rate card

154 billable models in total, 84 of them text models. On those text models: 4 of 84 carry a rate verified against OpenAI's own published pricing (platform.openai.com), the remaining 80 are gateway rates only. USD per 1M tokens, checked 2026-11-02.

On OpenAI the Out/In column runs 1.6× to 8.0×, median 6.0× It outweighs the input price as soon as output dominates your bill.

Across 84 priced text models the blended rate spans $0.225 (gpt-5-nano) to $105 (gpt-5.5-pro) per 1M tokens, a 467× spread. At 467× between its own cheapest and dearest, picking the wrong tier inside OpenAI costs more than picking the wrong vendor.

How these rates were verified

4 of the 154 OpenAI models above carry a list price we could confirm on OpenAI’s own documentation; the other 150 are gateway rates only, and no discount is claimed for those. For the confirmed ones the gateway rate currently sits between 27% and 50% below the published list:

List prices confirmed 2026-11-02 against platform.openai.com. Gap is computed on the blended input+output sum, except where the endpoint publishes no output rate for a model — those rows are compared on the input rate and marked accordingly. Gateway pricing follows upstream promotions and can move without notice — confirm on the vendor page before you commit a workload.

What OpenAI costs at three usage levels

Priced on gpt-5-nano at $0.025 in / $0.2 out; gpt-5.6-terra at $1 in / $6 out per 1M tokens, with a 5:1 input-to-output ratio (roughly what an interactive workload produces).

The first column is this vendor's lowest-cost tier; the second is the model closest to its median rate, which is nearer what a real deployment bills. Swap in your own token split in the calculator.

Same budget, other vendors

3 models from 3 other vendors priced within 35% of gpt-5.6-terra on a blended rate, the cheapest, the dearest and one in between. This is the horizontal check a OpenAI rate page on its own cannot give you.

Blended comparison (input + output per 1M tokens). Price is one axis (none of these is a OpenAI model), so treat them as candidates to test side by side at this budget rather than drop-in substitutes.

Why the output rate decides the bill

Across the 77 priced OpenAI text models, the output rate runs from 1.6× to 8.0× the input rate, with a median of 6.0×. On OpenAI that multiple lands on the smaller half of the token count and the larger half of the bill, because output is what a chat or agent turn actually produces.

Worked out: at a 6.0× multiple, a job whose token count is 80% input still spends 60% of its cost on the output it generates. Setting OpenAI beside any other vendor on the input rate alone hides that.

What OpenAI is good at

GPT-5.6 Luna is the volume workhorse, cheap enough for classification and routing, strong enough for most user-facing chat.

Detailed pages for OpenAI models

The models we cover in depth, each with worked cost at three usage levels and a comparison against similarly priced alternatives.

• GPT-5 nano — $0.025 / $0.2 per 1M tokens
• GPT-6 Luna — $0.05 / $0.25 per 1M tokens
• GPT-5.6 Luna — $0.1 / $0.6 per 1M tokens
• GPT-5 mini — $0.125 / $1 per 1M tokens
• GPT-6.1 Terra — $0.5 / $2.5 per 1M tokens
• GPT-5 — $0.625 / $5 per 1M tokens
• GPT-5.6 Terra — $1 / $6 per 1M tokens
• GPT-6 Sol — $1 / $5 per 1M tokens
• o3 — $1 / $4 per 1M tokens
• GPT-6.1 Sol — $1 / $5 per 1M tokens
• GPT-5.6 Sol — $2.5 / $15 per 1M tokens
• GPT-6 Astra — $5 / $25 per 1M tokens

Routing these rates into your tools

Every model above is reachable from the same OpenAI-compatible endpoint, so the rates on this page apply wherever you already work. These are the tools we have profiled end to end — OpenAI models included:

Every one of these takes the same two values (a base URL and a key) and none of them require changing your code beyond where the client is constructed. Pointed at OpenAI, that is the whole change. The differences that matter are in each tool's defaults, which is what each guide covers.

Other vendors

Every rate card here is built the same way, from the same price snapshot (2026-11-02), so the numbers are comparable across vendors:

Anthropic · Google · DeepSeek · Alibaba · xAI · Zhipu · Moonshot · Meta · MiniMax · ByteDance

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