This model was retired on 2027-06-08. The pricing below is the last-known rate, kept for migration reference.
Context
410K
Max output
128K
Serving providers
5
Cheapest input
$1.75 /1M
Prices are on-demand list rates. Enterprise commitments (committed-use discounts, provisioned throughput, negotiated rates) can be materially lower.
Benchmarks
independent evaluations · source: Artificial AnalysisSpeed & latency
Output speed
80 t/s
tokens / second
Time to first token
192.59s
latency
Headline indices
Intelligence Index
43.3
of 100
Individual benchmarks · click a row for effort variants
| Benchmark | Best score | Effort | Cost / task | |||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| CritPt | 12% | default | — | |||||||||||||||||
| ||||||||||||||||||||
| GPQA Diamond | 90% | default | — | |||||||||||||||||
| ||||||||||||||||||||
| Humanity's Last Exam | 38% | default | — | |||||||||||||||||
| ||||||||||||||||||||
| IFBench | 75% | default | — | |||||||||||||||||
| ||||||||||||||||||||
| LiveCodeBench | 89% | medium | — | |||||||||||||||||
| ||||||||||||||||||||
| Long-Context Reasoning | 79% | default | — | |||||||||||||||||
| ||||||||||||||||||||
| MMLU-Pro | 87% | default | — | |||||||||||||||||
| ||||||||||||||||||||
| MMMU-Pro | 75% | medium | — | |||||||||||||||||
| ||||||||||||||||||||
| Omniscience | 0.3 | medium | — | |||||||||||||||||
| ||||||||||||||||||||
| Omniscience Accuracy | 0.4 | default | — | |||||||||||||||||
| ||||||||||||||||||||
| Omniscience Non Hallucination | 0.4 | medium | — | |||||||||||||||||
| ||||||||||||||||||||
| SciCode | 52% | default | — | |||||||||||||||||
| ||||||||||||||||||||
| TerminalBench Hard | 47% | default | — | |||||||||||||||||
| ||||||||||||||||||||
| τ-bench Banking | 11% | reasoning: false | — | |||||||||||||||||
| τ²-bench | 85% | default | — | |||||||||||||||||
| ||||||||||||||||||||
Pricing by serving provider
last-known · per 1M tokens · click a provider to expand| Serving provider | Input /1M | Output /1M | Endpoints | |||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Databricks | $1.75 | $14.00 | 1 | |||||||||||||||||||||
| ||||||||||||||||||||||||
| Azure | $1.75 | $14.00 | 1 | |||||||||||||||||||||
| ||||||||||||||||||||||||
| OpenAI | $1.75 | $14.00 | 1 | |||||||||||||||||||||
| ||||||||||||||||||||||||
| Gmi | $1.75 | $14.00 | 1 | |||||||||||||||||||||
| ||||||||||||||||||||||||
| OpenRouter | $1.75 | $14.00 | 1 | |||||||||||||||||||||
| ||||||||||||||||||||||||
Price history
input + output $/1M since we started tracking Input Output
Cost calculator
estimate your monthly spend on this model$1,470
estimated / month
Model IDs
copy the exact identifier for your platformdatabricks/databricks-gpt-5-2azure/gpt-5.2gpt-5.2gmi/openai/gpt-5.2openai/gpt-5.2
Frequently asked questions
GPT-5.2 pricing, context and availabilityIs GPT-5.2 still available?
GPT-5.2 was retired on 2027-06-08. The pricing on this page is the last-known rate, kept for migration reference.
How much did GPT-5.2 cost?
GPT-5.2's last-known pricing, before it was retired on 2027-06-08, was $1.75 per 1M input tokens and $14.00 per 1M output tokens.
What was the context window of GPT-5.2?
GPT-5.2 had a 410K token context window and could return up to 128K output tokens.
What could GPT-5.2 do?
GPT-5.2 supported image input (vision), tool use, reasoning, prompt caching, structured output and web search.
Other OpenAI models
compare pricing across the OpenAI lineup Pricing verified against LiteLLM + OpenRouter + provider pages · refreshed daily
Every weekday
AI moves fast. Here's your debrief.
News, analysis, tools, and more.
For people who build with AI