Models / OpenAI/ GPT-6 Sol

GPT-6 Sol

OpenAI · released Sep 22, 2026

Input: text, images and documents. Output: text.InputOutput
Type
Closed
Input
$2.00
Output
$10.00
Cached
$0.20

List price · per 1M tokens · OpenAI at 922K context · machine-readable source ↗

Our take

Written Sep 29, 2026

GPT-6 Sol is a hosted-only model released in September 2026, and its measured strengths sit in agentic work rather than general chat. It ranks first of 55 on Arena Agent · Steerability via Max as of 25 Sep 2026, while its general chat placing is mid-field.

Who should pick it

Pick it for agentic work where following instructions and changing course matter more than raw chat quality, or for data analysis and table work, where it ranks near the top of the LiveBench field. It takes text, images and files, and long documents go in without splitting them up first. Skip it if you need to run the model yourself, since we list no download for it.

The case for it

  • 1st of 55 on Arena Agent · Steerability via Max as of 25 Sep 2026, a board that records how well a model does what it was asked and adjusts when redirected.
  • 3rd of 58 on LiveBench Data Analysis via Max as of 25 Jun 2026, a board covering table and event-ordering tasks.
  • Request capacity leaves room for long documents in a single request, though reliable recall across all of it is unverified in our data.

The case against it

  • 39th of 168 on Arena Text (overall) via Max as of 25 Sep 2026, a board that records which answer people preferred rather than whether it was correct.
  • 30th of 58 on LiveBench Instruction Following via Max as of 25 Jun 2026, a board of constrained-rewriting tasks.
  • We list no download for it, so using it means choosing a host.
00

How good is it?

A closed text model for everyday questions, writing, coding and multi-step agent work.

Good at
  • getting answers to everyday questionsArena Text (overall) · 39th of 168
  • drafts, rewrites and editingArena Creative Writing · 25th of 168
  • writing and completing codeArena Coding · 19th of 168
  • multi-step work it carries out for youArena Agent · 5th of 55
  • calling tools to carry out requestsArena Agent · Tool use · 9th of 55
  • changing course when you give new instructionsArena Agent · Steerability · 1st of 55
  • getting back on track after a step failsArena Agent · Recovery · 6th of 55

EverydayGeneral questions and everyday reasoning

3.5 of 5

Arena Text (overall)39th of 168 · 1457

Arena Hard Prompts 36th of 168Arena Maths 46th of 163LiveBench Data Analysis 3rd of 58LiveBench Mathematics 5th of 58LiveBench Reasoning 18th of 58

CodingWriting and fixing code on its own

4 of 5

Arena Coding19th of 168 · 1524

Arena Code (WebDev) 5th of 95LiveBench Coding 12th of 58

AgenticPlanning, calling tools, staying on task

3.5 of 5

Arena Agent5th of 55 · 0.077

LiveBench Agentic Coding 30th of 58

WritingDrafting and rewriting prose

3.5 of 5

Arena Creative Writing25th of 168 · 1451

LiveBench Language 12th of 58
How it behaves in an agent loop
Tool usereaches for the right one, and does not invent one9th of 55
Steerabilitydoes what it was asked, and changes course when told1st of 55
Recoverygets back on track after a command fails6th of 55
Task outcomefinishes what the session set out to do4th of 55

Placings on Arena's agent boards, from live sessions people ran themselves. A model can lead on one of these and sit mid-field on the others.

Other boards it appears on
Arena Instruction Following 44th of 168LiveBench 10th of 58LiveBench Instruction Following 30th of 58Arena Agent · Steerability 1st of 55Arena Agent · Task outcome 4th of 55Arena Agent · Recovery 6th of 55Arena Agent · Tool use 9th of 55

Boards this model appears on that none of the ratings above are built on.

Every published score for this model20 scoresEvery figure we hold, from 20 boards, with who ran it and a link to the source — including the boards no rating above is built on.
LiveBenchreasoning
79.25source ↗
52.88source ↗
81.77source ↗
81.19source ↗
68.57source ↗
85.3source ↗
96.36source ↗
88.65source ↗
0.077source ↗
0.084source ↗
0.157source ↗
0.114source ↗
0.004source ↗
1524source ↗
1451source ↗
1485source ↗
1447source ↗
1450source ↗
1457source ↗
1681source ↗
01

Where to rent it

Prices checked 4 hours ago — each listing carries its own date.

Cheapest published offer

Microsoft Azure AI, through OpenRouter

Why this differs from the header. The strip above quotes OpenAI's own list price; this is the cheapest live offer, whoever is serving it — a reseller undercutting a lab is ordinary commerce, not an error.

per 1M tokens
$2.00 in / $10.00 out
Context served
1.1M
Throughput
~30 tok/s
Current provider offers with price, context and prompt-privacy answers
ProviderIn / out per 1M tokensContextThroughputTrains on promptsLogs promptsZero retention
OpenAIflex tierThrough OpenRouter$1.00 / $5.00checked 4 hours ago1.1M128K max reply52 tok/sNoYesunknown periodUnknown
Microsoft Azure AIThrough OpenRouter$2.00 / $10.00checked 4 hours ago1.1M128K max reply30 tok/sNoNoConfirmed
OpenRouterOpenRouter's own listing$2.00 / $10.00checked 4 hours ago1.1Mnot measuredUnknownUnknownUnknown
OpenAIDirect$2.00 / $10.00checked 4 hours ago922K128K max reply50 tok/sNoYesunknown periodUnknown
Amazon Bedrockus-east-1Through OpenRouter$2.20 / $11.00checked 4 hours ago1.1M128K max reply81 tok/sNoNoUnknown
Microsoft Azure AIeuThrough OpenRouter$2.20 / $11.00checked 4 hours ago1.1M128K max reply45 tok/sNoNoConfirmed
Microsoft Azure AIusThrough OpenRouter$2.20 / $11.00checked 4 hours ago1.1M128K max reply21 tok/sNoNoConfirmed
OpenAIfast tierThrough OpenRouter$4.00 / $20.00checked 4 hours ago1.1M128K max reply76 tok/sNoYesunknown periodUnknown

Across the 8 listings we hold: 7 say they do not train on prompts, 0 say they do and 1 does not say. 3 appear in the zero-retention registry we check; the rest are unknown to us.

What each host's API supports

From the parameter list each endpoint publishes. Streaming is omitted: nothing we hold reports it, for any model.

API features per host
ProviderTool callingJSON outputStrict schema
OpenAIflexThrough OpenRouter✓✓✓
Microsoft Azure AIThrough OpenRouter✓✓✓
OpenRouterOpenRouter's own listing✓✓✓
OpenAIDirect✓✓✓
Amazon Bedrockus-east-1Through OpenRouter✓✓✓
Microsoft Azure AIeuThrough OpenRouter✓✓✓
Microsoft Azure AIusThrough OpenRouter✓✓✓
OpenAIfastThrough OpenRouter✓✓✓

Tool calling: 8 of 8 listings say yes. JSON output: 8 of 8 listings say yes. Strict schema: 8 of 8 listings say yes.

02

Models people weigh against GPT-6 Sol

03

When we formed this view

Recent changes

Sep 25, 2026ListedListed on LLMap
What movedfirst indexed by our pipeline
Sep 25, 2026BenchmarkScored 0.077 via Max on Arena Agent
What movedleaderboard
Sep 25, 2026BenchmarkScored 0.084 via Max on Arena Agent · Recovery
What movedleaderboard
Sep 25, 2026BenchmarkScored 0.157 via Max on Arena Agent · Steerability
What movedleaderboard
Sep 25, 2026BenchmarkScored 0.114 via Max on Arena Agent · Task outcome
What movedleaderboard
Sep 25, 2026BenchmarkScored 0.004 via Max on Arena Agent · Tool use
What movedleaderboard
Sep 25, 2026BenchmarkScored 1524 via Max on Arena Coding
What movedleaderboard
Sep 25, 2026BenchmarkScored 1451 via Max on Arena Creative Writing
What movedleaderboard
Sep 25, 2026BenchmarkScored 1485 via Max on Arena Hard Prompts
What movedleaderboard
Sep 25, 2026BenchmarkScored 1447 via Max on Arena Instruction Following
What movedleaderboard

Each date is the day we first saw the change, or the day the maker announced it.

What we do not know about this model yet

  • Nothing we hold says whether an endpoint streams, so we do not show it either way.
  • 1 of 8 listings does not say whether it trains on prompts.
  • We hold no batch or off-peak rate for any of its listings.
04

Licence and identifiers

What the licence allowsWe hold no licence record for this model. Inside are the identifiers you need to pull it — its Hugging Face repo where we have one, our slug and a machine-readable card.

Licence

We hold no licence record for this model, and no record of published weights either — so we can neither summarise its terms nor point you at the weights.

Identifiers

Takes in, gives back
Text, images and documents in, text out
Catalogue slug
openai-gpt-6-sol

Machine-readable model card (omc.json) →

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