Requesty
Microsoft Azure AI logo

gpt-5.6-sol

Microsoft Azure AI/@eastus2/chat10% off

GPT-5.6 Sol is the flagship model in OpenAI's GPT-5.6 series. It is suited for complex reasoning, coding, and agentic workflows, and is particularly strong at command-line and multi-step coding tasks and long-horizon problem solving.More

Which id to call

azure/gpt-5.6-sol@eastus2

This exact deployment on Microsoft Azure AI in eastus2, with no routing and no failover. Send it as the model field.

Input /1M

$4.50

$5.00 list

$0.45 cached

Output /1M

$27.00

$30.00 list

6.0x input

Context

1.1M

128K output

Paid /1M

$1.35

measured, cache included

Capabilities 5/8

VisionReasoningTool callingCachingWeb searchJSON schemaComputer useImage generation

Provider rates

What gpt-5.6-sol costs

Provider prices per 1M tokens, updated August 24, 2026.more

These are the upstream provider rates. Pay as you go adds 5%, or 0% if you bring your own keys, and there is no per-request fee. Prompt caching and routing change what you pay against these rates, not the rates themselves.

10% off

This endpoint is discounted. List is $5.00 per 1M input and $30.00 per 1M output, and the rates below are what you pay. The discount applies to every request on this endpoint, with nothing to claim or enter.

Input /1M

$4.50

$5.00 list

Output /1M

$27.00

$30.00 list

Cache write /1M

-

Cache read /1M

$0.45

What a workload costs

100K input + 10K output
$0.72
1M input + 100K output
$7.20
10M input + 1M output
$72.00

At the rates above, before caching. A cache read costs $0.45 per 1M, so repeated context lands under these figures.

model=

Which id to call

One base url, https://router.requesty.ai/v1, and one key for every id here.

azure/gpt-5.6-sol@eastus2

This exact deployment on Microsoft Azure AI in eastus2, with no routing and no failover. Send it as the model field.

OpenAI compatible

Call it in three lines

Change the base url, use your Requesty key, set the model to any id on the left. Existing OpenAI SDK code needs no other edit.

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
from openai import OpenAI client = OpenAI( api_key="YOUR_REQUESTY_API_KEY", base_url="https://router.requesty.ai/v1", ) response = client.chat.completions.create( model="azure/gpt-5.6-sol@eastus2", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ], ) print(response.choices[0].message.content)

Live from production

Microsoft Azure AI on gpt-5.6-sol, measured

What this provider was measured doing on gpt-5.6-sol across Requesty traffic.more

Whole-window figures, because that is the grain published per provider. They cover Microsoft Azure AI serving this model in every region it serves it from, so a region-pinned deployment shares them with its siblings. A figure is absent where no qualifying sample exists.

First token

1.14s

median

p95 wait

5.02s

slowest 5%

Output speed

41/s

median tokens

Paid /1M

$1.35

blended, cache included

Cache hit

86.4%

of input tokens

Compare these against the other 3 providers serving gpt-5.6-sol.

Reference

Specs and data terms

What the catalog reports for this deployment, and what the provider does with the traffic.

Context window1.1M tokens
Max output128K tokens
API typechat
AddedJul 2026
Model id
Data retentionNone
Used for trainingNo
Served from🇺🇸 US

Released 2026-07-09

Benchmark scores

Benchmarks measure the model, not this endpoint, so they are the same wherever these weights are served.

Coding Indexcoding
77.4%

Artificial Analysis Coding Index: a composite of coding evaluations including LiveCodeBench, SciCode and Terminal-Bench.

GPQA Diamondreasoning
94.1%

Graduate-level physics, chemistry & biology questions designed to resist Googling.

Intelligence Indexreasoning
60.9%

Artificial Analysis Intelligence Index: a composite of multiple evaluations measuring overall model capability.

Scores from official model cards, Artificial Analysis and public leaderboards. They measure specific skills and do not capture every aspect of model quality, so test on your own workload.

Same provider

More from Microsoft Azure AI

Newest first, on the same provider and the same key.

Reference

gpt-5.6-sol questions

How much does gpt-5.6-sol cost?

gpt-5.6-sol is priced at $4.50 per million input tokens and $27.00 per million output tokens when accessed via Requesty. Those figures include a 10% discount on this endpoint, off a list rate of $5.00 per million input tokens and $30.00 per million output tokens. Prompt caching is supported, which can cut effective input cost by up to 90% on repeated context. Those are the upstream provider rates: pay as you go adds 5% on top, or 0% if you bring your own provider keys.

What is the context window of gpt-5.6-sol?

gpt-5.6-sol has a context window of 1.1M tokens, with a maximum output of 128K tokens per response. That's roughly 1,400 words of input you can fit in a single prompt.

How does gpt-5.6-sol perform on benchmarks?

gpt-5.6-sol scores 94.1% on GPQA Diamond, 85.1% on τ²-Bench, 77.4% on Coding Index. See the full benchmark chart above for results across MMLU Pro, GPQA Diamond, SWE-Bench Verified, HumanEval, MATH, AIME, MMMU, and LiveBench.

What can gpt-5.6-sol do?

gpt-5.6-sol supports vision input, tool calling, extended reasoning, prompt caching, structured outputs (JSON schema). You can call it through any OpenAI-compatible client by pointing base_url to Requesty.

How do I use gpt-5.6-sol with the OpenAI SDK?

Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "azure/gpt-5.6-sol@eastus2". The Quickstart above shows Python, JavaScript and cURL snippets.

Can I run gpt-5.6-sol through Requesty?

Yes. gpt-5.6-sol runs through Requesty's OpenAI-compatible API, served from Microsoft Azure AI in eastus2. You do not host the model yourself: point base_url at Requesty, set the model to "azure/gpt-5.6-sol@eastus2", and requests are routed to the upstream provider with automatic failover. The same key gives you 600+ other models too.

What region is this deployment?

This variant of gpt-5.6-sol is deployed in eastus2. Region-specific endpoints matter for data residency, latency to your users, and compliance requirements (GDPR, HIPAA). Other regions for the same model may be listed on the Microsoft Azure AI provider page.

Call gpt-5.6-sol through one endpoint

One key for this endpoint and 600+ other models. No markup on provider prices, automatic failover, caching built in.