Context
1.1M
Max output
128K
Serving providers
2
Cheapest input
$2.50 /1M
Prices are on-demand list rates. Enterprise commitments (committed-use discounts, provisioned throughput, negotiated rates) can be materially lower.

Benchmarks

independent evaluations · source: ARC Prize and Artificial Analysis
Speed & latency
Output speed
177 t/s
tokens / second
Time to first token
33.87s
latency
Headline indices
76.7
of 100
47.4
of 100
Individual benchmarks · click a row for effort variants
BenchmarkBest scoreEffortCost / task
ARC-AGI-284%max$1.09
CritPt30%default
GDPval1593.0default
GPQA Diamond93%default
Humanity's Last Exam42%default
IFBench71%default
IT-Bench SRE51%default
Long-Context Reasoning74%default
MMMU-Pro81%default
Omniscience-0.2default
SciCode54%default
TerminalBench Hard63%xhigh
TerminalBench v2.188%default
τ-bench Banking32%default
τ²-bench86%default

Pricing by serving provider

standard tier · per 1M tokens · click a provider to expand
Serving providerInput /1MOutput /1MEndpoints
AzureCheapest$2.50$15.001
EndpointStd inStd outCached inBatch in / outModel ID
StandardCheapest$2.50$15.00$0.25azure/gpt-5.6-terra
OpenAICheapest$2.50$15.001

Price history

input + output $/1M since we started tracking
Input Output
$0.000$5.00$10.00$15.00Jul 10Jul 12$15.00$2.50

Cost calculator

estimate your monthly spend on this model
$1,700
estimated / month

Model IDs

copy the exact identifier for your platform
azure/gpt-5.6-terragpt-5.6-terra

Frequently asked questions

GPT-5.6 Terra pricing, context and availability

How much does GPT-5.6 Terra cost?

GPT-5.6 Terra costs $2.50 per 1M input tokens and $15.00 per 1M output tokens at its cheapest provider via Azure.

What is the context window of GPT-5.6 Terra?

GPT-5.6 Terra accepts up to 1.1M tokens of context and can return up to 128K output tokens.

Which providers serve GPT-5.6 Terra?

GPT-5.6 Terra is available from 2 serving providers, each with its own pricing and model ID. Azure is currently the cheapest.

What can GPT-5.6 Terra do?

GPT-5.6 Terra supports image input (vision), tool use, reasoning, prompt caching, structured output and web search.

Other OpenAI models

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