This model was retired on 2027-05-15. The pricing below is the last-known rate, kept for migration reference.
Context
410K
Max output
128K
Serving providers
5
Cheapest input
$1.25 /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
94 t/s
tokens / second
Time to first token
64.55s
latency
Headline indices
Intelligence Index
37.5
of 100
Coding Index
49.4
of 100
Agentic Index
21.6
of 100
Individual benchmarks · click a row for effort variants
| Benchmark | Best score | Effort | Cost / task | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| CritPt | 5% | default | — | |||||||||||||
| ||||||||||||||||
| GDPval | 992.8 | default | — | |||||||||||||
| GPQA Diamond | 87% | default | — | |||||||||||||
| ||||||||||||||||
| Humanity's Last Exam | 28% | default | — | |||||||||||||
| ||||||||||||||||
| IFBench | 73% | default | — | |||||||||||||
| ||||||||||||||||
| LiveCodeBench | 87% | default | — | |||||||||||||
| ||||||||||||||||
| Long-Context Reasoning | 77% | default | — | |||||||||||||
| ||||||||||||||||
| MMLU-Pro | 87% | default | — | |||||||||||||
| ||||||||||||||||
| MMMU-Pro | 75% | default | — | |||||||||||||
| ||||||||||||||||
| Omniscience | 5.4 | default | — | |||||||||||||
| ||||||||||||||||
| Omniscience Accuracy | 0.4 | default | — | |||||||||||||
| ||||||||||||||||
| Omniscience Non Hallucination | 0.5 | default | — | |||||||||||||
| ||||||||||||||||
| SciCode | 43% | default | — | |||||||||||||
| ||||||||||||||||
| TerminalBench Hard | 45% | default | — | |||||||||||||
| ||||||||||||||||
| TerminalBench v2.1 | 52% | default | — | |||||||||||||
| τ-bench Banking | 16% | default | — | |||||||||||||
| τ²-bench | 82% | default | — | |||||||||||||
| ||||||||||||||||
Pricing by serving provider
last-known · per 1M tokens · click a provider to expand| Serving provider | Input /1M | Output /1M | Endpoints | |||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Databricks | $1.25 | $10.00 | 1 | |||||||||||||||||||||
| ||||||||||||||||||||||||
| Azure | $1.25 | $10.00 | 1 | |||||||||||||||||||||
| ||||||||||||||||||||||||
| Gmi | $1.25 | $10.00 | 1 | |||||||||||||||||||||
| ||||||||||||||||||||||||
| OpenAI | $1.25 | $10.00 | 1 | |||||||||||||||||||||
| ||||||||||||||||||||||||
| OpenRouter | $1.25 | $10.00 | 1 | |||||||||||||||||||||
| ||||||||||||||||||||||||
Price history
input + output $/1M since we started tracking Input Output
Cost calculator
estimate your monthly spend on this model$1,050
estimated / month
Model IDs
copy the exact identifier for your platformdatabricks/databricks-gpt-5-1azure/global/gpt-5.1gmi/openai/gpt-5.1gpt-5.1openai/gpt-5.1
Frequently asked questions
GPT-5.1 pricing, context and availabilityIs GPT-5.1 still available?
GPT-5.1 was retired on 2027-05-15. The pricing on this page is the last-known rate, kept for migration reference.
How much did GPT-5.1 cost?
GPT-5.1's last-known pricing, before it was retired on 2027-05-15, was $1.25 per 1M input tokens and $10.00 per 1M output tokens.
What was the context window of GPT-5.1?
GPT-5.1 had a 410K token context window and could return up to 128K output tokens.
What could GPT-5.1 do?
GPT-5.1 supported image input (vision), tool use, reasoning, prompt caching, structured output and web search.
Other OpenAI models
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head-to-head pages featuring GPT-5.1 Pricing verified against LiteLLM + OpenRouter + provider pages · refreshed daily
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