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OpenAI · released 2026-01-15 · text model

GPT-5 mini

AA INDEX84editorial 2026-05editorial estimate

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Input price$0.25/1M tokens
Output price$2.00/1M tokens
Context400Ktokens
P50 latency0.3sfirst tokvendor-reported
Throughput280tok/svendor-reported

GPT-5 family inheritance at a fraction of the cost. Behaves like a fast, polite, well-instructed GPT-5 for everyday calls, but visibly weaker on deep reasoning chains and edge-case hallucinations. Default OpenAI choice when GPT-5 would be overkill — RAG over your docs, lightweight chatbots, classification at scale, drafting before a human edit pass.

Full pricing details

all prices in USD per 1M tokens · All hidden costs surfaced
Pricing tierInputOutputNotes
Standard
Pay-as-you-go API rate card
$0.25$2.00Default if no headers set
With prompt caching
Cached read · cache write
$0.03−90%$2.00Cache writes priced at standard input ($0.25); cached reads 90% off. Requires cache_control header.
Batch API (50% off)
24h SLA, async
$0.13−50%$1.00−50%Send up to 50K requests in one batch; results within 24h
Image input (vision)
Per image, low/high detail differ
$0.25 + image fee$2.00$0.50 per 1024×1024 image at high detail; low detail ~$0.10
Reasoning tokens
Hidden chain-of-thought tokens
$0.25$2.00 × ~3-8When using reasoning.effort: high, output tokens include hidden reasoning. Real cost can be 3-8× headline output.
Structured output
JSON mode + schema
$0.25$2.00No extra cost; first call may be slower (~2x latency) due to schema compilation

Capabilities

Vision (image understanding)Function callingStructured output (JSON schema)Reasoning modeMultilingual (32+ langs)Batch APIAudio I/OFine-tuning

Monthly cost in common scenarios

Default usage assumptions

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Used in these scenarios

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