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gpt-6-solMicrosoft Azure AI @swedencentral

in /1M$2.40input tokens
out /1M$12.00output tokens
context1.1M128K out
median ttft2.63smeasured
api
chat
hosting
EU
model lab
OpenAI
weights
closed
added
September 2026
model id
azure/gpt-6-sol@swedencentral

capabilities 6/8

visionreasoningtoolscachingweb searchjson schemacomputer useimage gen

2 providers serve gpt-6-sol. This page is one of them. Compare all endpoints

pricing

no markup
input
$2.40
output
$12.00
cache write
$3.00
cache read
$0.24

worked cost

Estimated cost for three request volumes
volumecost
100K in + 10K out$0.36
1M in + 100K out$3.60
10M in + 1M out$36.00

Requesty charges what the upstream provider charges, with no markup and no per-request fee. Prompt caching and smart routing cut the effective cost further on repeated context. Gateway pricing

provider price, passed throughper 1M tokens

measured

through Nov 2
median ttft
2.63s
median tok/s
134.0
blended /1M
$0.74
cache hit
88.2%

Weekly aggregates from production traffic routed through Requesty to this endpoint. A metric with no qualifying sample is left out rather than filled in. Compare against the other providers

benchmarks

artificial analysis

no published scores for this exact variant. region deployments and highspeed tiers usually share the base model's results

policy

data terms
retention
none
trains on prompts
no
hosted in
EU
deployment
swedencentral

Terms are the provider's, not Requesty's: routing a request here puts it under them. Microsoft Privacy Statement

Need every request to stay in one jurisdiction? EU hosting routes only through EU-hosted providers.

quickstart

openai compatible
azure/gpt-6-sol@swedencentral

this id pins the microsoft azure ai deployment, with no routing and no failover. the managed id on the canonical page routes across all 2 providers instead

main.py
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-6-sol@swedencentral",    messages=[        {"role": "user", "content": "Explain quantum computing in one paragraph."},    ],) print(response.choices[0].message.content)

Change the base url to https://router.requesty.ai/v1, use your Requesty key, set the model to the id above. Existing OpenAI SDK code needs no other edit, and the same key reaches every other model in the catalog. Browse all models

notes

reference

GPT-6 Sol is the cost-efficient high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra and above the fast GPT-6 Luna tier. It is suited for demanding professional work, agentic coding, business workflow automation, and computer use, and is particularly strong at long-horizon software engineering tasks in real codebases. It approaches Astra-level factual reliability at a much lower cost.

questions 6

How much does gpt-6-sol cost?
gpt-6-sol is priced at $2.40 per million input tokens and $12.00 per million output tokens when accessed via Requesty. Prompt caching is supported, which can cut effective input cost by up to 90% on repeated context. Requesty charges exactly what the upstream provider charges, we don't add markup.
What is the context window of gpt-6-sol?
gpt-6-sol has a context window of 1.1M tokens, with a maximum output of 128K tokens per response. That is roughly 1,400 words of input you can fit in a single prompt.
What can gpt-6-sol do?
gpt-6-sol supports vision input, tool calling, extended reasoning, prompt caching, structured outputs (JSON schema), computer use. You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use gpt-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-6-sol@swedencentral". The quickstart pane shows Python, JavaScript and cURL snippets.
Can I run gpt-6-sol through Requesty?
Yes. gpt-6-sol runs through Requesty's OpenAI-compatible API, served from Microsoft Azure AI in swedencentral. You do not host the model yourself: point base_url at Requesty, set the model to "azure/gpt-6-sol@swedencentral", 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-6-sol is deployed in swedencentral. Region-specific endpoints matter for data residency, latency to your users, and compliance requirements such as GDPR and HIPAA. Other regions for the same model are listed on the canonical model page.

more from microsoft azure ai 8

Other Microsoft Azure AI endpoints
endpointctxin /M
gpt-6.1-terra1.1M$1.00
gpt-6.1-terra1.1M$1.20
gpt-6.1-terra1.1M$1.20
gpt-6.1-terra1.1M$1.20
gpt-6.1-terra1.1M$1.20
decision-133K$0.04
decision-133K$0.04
decision-133K$0.04

call gpt-6-sol through one endpoint

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

gpt-6-solmicrosoft azure aiin $2.40 /1Mout $12.00 /1Mctx 1.1Mttft 2.63shosted EU2 providers serve this model