Context
1.1M
Max output
128K
Serving providers
2
Cheapest input
$5.00 /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
88 t/s
tokens / second
Time to first token
44.27s
latency
Headline indices
78.3
of 100
54.0
of 100
Individual benchmarks · click a row for effort variants
BenchmarkBest scoreEffortCost / task
ARC-AGI-293%max$1.44
CritPt32%default
GDPval1747.8default
GPQA Diamond94%default
Humanity's Last Exam47%default
IFBench73%default
IT-Bench SRE56%default
Long-Context Reasoning74%default
MMMU-Pro83%default
Omniscience21.7default
SciCode57%high
TerminalBench Hard66%default
TerminalBench v2.190%xhigh
τ-bench Banking33%default
τ²-bench85%default

Pricing by serving provider

standard tier · per 1M tokens · click a provider to expand
Serving providerInput /1MOutput /1MEndpoints
AzureCheapest$5.00$30.001
EndpointStd inStd outCached inBatch in / outModel ID
StandardCheapest$5.00$30.00$0.50azure/gpt-5.6-sol
OpenAICheapest$5.00$30.001

Price history

input + output $/1M since we started tracking
Input Output
$0.000$10.00$20.00$30.00Jul 10Jul 12$30.00$5.00

Cost calculator

estimate your monthly spend on this model
$3,400
estimated / month

Model IDs

copy the exact identifier for your platform
azure/gpt-5.6-solgpt-5.6-sol

Frequently asked questions

GPT-5.6 Sol pricing, context and availability

How much does GPT-5.6 Sol cost?

GPT-5.6 Sol costs $5.00 per 1M input tokens and $30.00 per 1M output tokens at its cheapest provider via Azure.

What is the context window of GPT-5.6 Sol?

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

Which providers serve GPT-5.6 Sol?

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

What can GPT-5.6 Sol do?

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

Other OpenAI models

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