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GPT-5.6 Sol

GPT-5.6 Sol is the flagship of OpenAI's GPT-5.6 series, its most capable model for long-horizon agentic work across coding, biology, and cybersecurity.

text + image + file → text · made by OpenAI

$4→$20per Mtok in / out
OpenAI · 15 sellers

Available within a subscription 2 plans

Bought by the month. What a plan allows is the half of its price that a rate card cannot carry, so it is printed beside every one.

Sold by 38 ways

SellerLaneRate
Microsoft Azure AI cloudflex$2per Mtok in$10per Mtok outraw.githubusercontent.com · read 2026-10-31
OpenAI apibatch$2per Mtok in$10per Mtok out$0.2per Mtok cacheddevelopers.openai.com · read 2026-08-24
Databricks cloudstandard$4per Mtok in$20per Mtok out$0.4per Mtok cached$5per Mtok cache writemodels.dev · read 2026-10-31
DigitalOcean cloudstandard$4per Mtok in$20per Mtok out$0.4per Mtok cached$5per Mtok cache writemodels.dev · read 2026-10-31
Microsoft Azure AI cloudstandard$4per Mtok in$20per Mtok out$0.4per Mtok cached$5per Mtok cache writemodels.dev · read 2026-10-31
OpenAI apistandard$4per Mtok in$20per Mtok out$0.4per Mtok cacheddevelopers.openai.com · read 2026-08-24
AWS Bedrock cloudstandard$4.4per Mtok in$22per Mtok out$0.44per Mtok cached$5.5per Mtok cache writemodels.dev · read 2026-10-31
Microsoft Azure AI cloudlong-context$8per Mtok in$30per Mtok out$0.8per Mtok cachedprices.azure.com · read 2026-09-11
Databricks cloudpriority$8per Mtok in$40per Mtok out$0.8per Mtok cachedraw.githubusercontent.com · read 2026-10-31
Microsoft Azure AI cloudpriority$8.8per Mtok in$44per Mtok out$0.88per Mtok cachedraw.githubusercontent.com · read 2026-10-31
Nous Research 2 ways$4per Mtok in$20per Mtok out$0.4per Mtok cached$5per Mtok cache write
Nous Research aggregatorbatch$2per Mtok in$10per Mtok out$0.2per Mtok cached$2.5per Mtok cache writeinference-api.nousresearch.com · read 2026-10-15
Nous Research aggregatorstandard$4per Mtok in$20per Mtok out$0.4per Mtok cached$5per Mtok cache writeinference-api.nousresearch.com · read 2026-10-15
OpenRouter 10 ways$4per Mtok in$20per Mtok out$0.4per Mtok cached$5per Mtok cache write
OpenRouter aggregatorbatch$2per Mtok in$10per Mtok out$0.2per Mtok cached$2.5per Mtok cache writeopenrouter.ai · read 2026-10-15
OpenRouter aggregatoropenai/flex$2per Mtok in$10per Mtok out$0.2per Mtok cached$2.5per Mtok cache writeopenrouter.ai · read 2026-10-15
OpenRouter aggregatorstandard$4per Mtok in$20per Mtok out$0.4per Mtok cached$5per Mtok cache writeopenrouter.ai · read 2026-10-15
OpenRouter aggregatoramazon-bedrock/global$4per Mtok in$20per Mtok out$0.4per Mtok cached$5per Mtok cache writeopenrouter.ai · read 2026-10-30
OpenRouter aggregatorazure$4per Mtok in$20per Mtok out$0.4per Mtok cached$5per Mtok cache writeopenrouter.ai · read 2026-09-23
OpenRouter aggregatoropenai$4per Mtok in$20per Mtok out$0.4per Mtok cached$5per Mtok cache writeopenrouter.ai · read 2026-10-15
OpenRouter aggregatornot on the seller's list todayopenai/priority$4per Mtok in$20per Mtok out$0.4per Mtok cached$5per Mtok cache writeopenrouter.ai · read 2026-08-25
OpenRouter aggregatoramazon-bedrock/us-east-1$4.4per Mtok in$22per Mtok out$0.44per Mtok cached$5.5per Mtok cache writeopenrouter.ai · read 2026-08-29
OpenRouter aggregatorazure/eu$4.4per Mtok in$22per Mtok out$0.44per Mtok cached$5.5per Mtok cache writeopenrouter.ai · read 2026-09-23
OpenRouter aggregatorazure/us$4.4per Mtok in$22per Mtok out$0.44per Mtok cached$5.5per Mtok cache writeopenrouter.ai · read 2026-09-23
OpenRouter aggregatoropenai/fast$8per Mtok in$40per Mtok out$0.8per Mtok cached$10per Mtok cache writeopenrouter.ai · read 2026-10-15
Requesty 3 ways$2.25per Mtok in$13.5per Mtok out$0.23per Mtok cached
Requesty aggregatornot on the seller's list todayopenai flex$2.25per Mtok in$13.5per Mtok out$0.23per Mtok cachedrouter.requesty.ai · read 2026-08-25
Requesty aggregatornot on the seller's list todayopenai-responses flex$2.25per Mtok in$13.5per Mtok out$0.23per Mtok cachedrouter.requesty.ai · read 2026-08-25
Requesty aggregatornot on the seller's list todaybedrock us-east-2$3.96per Mtok in$19.8per Mtok out$0.4per Mtok cachedrouter.requesty.ai · read 2026-08-25
Requesty aggregatorazure$4per Mtok in$20per Mtok out$0.4per Mtok cachedrouter.requesty.ai · read 2026-10-08
Requesty aggregatoropenai$4per Mtok in$20per Mtok out$0.4per Mtok cachedrouter.requesty.ai · read 2026-10-08
Requesty aggregatorbedrock$4.4per Mtok in$22per Mtok out$0.44per Mtok cachedrouter.requesty.ai · read 2026-08-28
Requesty aggregatornot on the seller's list todayazure swedencentral$4.95per Mtok in$29.7per Mtok out$0.49per Mtok cachedrouter.requesty.ai · read 2026-08-25
Requesty aggregatornot on the seller's list todayopenai-responses$5per Mtok in$30per Mtok out$0.5per Mtok cachedrouter.requesty.ai · read 2026-09-11
GitHub Copilot aggregatorstandard$4per Mtok in$20per Mtok out$0.4per Mtok cached$5per Mtok cache writemodels.dev · read 2026-10-31
RedPill aggregatorstandard$4per Mtok in$20per Mtok out$0.4per Mtok cached$5per Mtok cache writeapi.redpill.ai · read 2026-10-27
Venice AI aggregatorstandard$4per Mtok in$20per Mtok out$0.4per Mtok cached$5per Mtok cache writemodels.dev · read 2026-10-31
Vercel AI Gateway aggregatorstandard$4per Mtok in$20per Mtok out$0.4per Mtok cached$5per Mtok cache writeai-gateway.vercel.sh · read 2026-09-20
AtlasCloud aggregatorstandard$5per Mtok in$30per Mtok out$0.5per Mtok cachedapi.atlascloud.ai · read 2026-09-20
ElectronHub aggregatorstandard$5per Mtok in$30per Mtok outapi.electronhub.ai · read 2026-10-31
Inference.net aggregatorstandard$5per Mtok in$30per Mtok out$0.5per Mtok cachedapi.inference.net · read 2026-10-31

Measured 53 standings

PlaceBoardMetricScore
1stof 34LMArena · SearchScore (Elo) (xhigh)1257
2ndof 273ARC-AGI-1 (Public Eval)Score (%) (max)99
2ndof 260Critpt — Epoch AIAccuracy (max)32.286
2ndof 46Enigma eval — Epoch AIAccuracy (high)37.12
2ndof 92Forecastbench — Epoch AIOverall score (medium)66.5
2ndof 12Posttrainbench — Epoch AIAverage (%) (max)0.362
3rdof 163Artificial Analysis · Coding IndexIndex78.3
3rdof 41Balrog — Epoch AIAverage progress (max)0.6
3rdof 29Surface evolver bench — Epoch AIMean score (xhigh)0.931
4thof 42Gso — Epoch AIScore OPT@10.765
4thof 16Osworld 2 — Epoch AIBinary accuracy (max)0.273
5thof 132Ale bench — Epoch AIPerformance (max)2176.88
5thof 290Arc agi 2 — Epoch AIScore (max)92.5
5thof 56Gdp pdf — Epoch AIGDP.pdf score0.307
5thof 17SWE-rebench Leaderboard (default window 15/05/2026–01/07/2026, 111 problems)Resolved Rate (%) (medium)62.3
6thof 298ARC-AGI-2 (Semi-Private)Score (%) (max)92.5
7thof 122Frontiermath tiers 1 3 v2 — Epoch AImean_score (max)89.123
7thof 23Gbaeval — Epoch AIOverall score0.526
8thof 15Btf3 — Epoch AIPooled score (max)0.137
9thof 69Deepswe — Epoch AIPass@1 (max)0.727
9thof 28Ebr bench — Epoch AImean_score (max)44.762
9thof 21Frontierswe — Epoch AIScore (max)32.202
9thof 142Mystery game puzzles — Epoch AImean_score (max)58
9thof 93Simpleqa verified — Epoch AImean_score (max)69.7
9thof 71Vending bench 2 — Epoch AIScore9619.368
10thof 35Furniture assembly — Epoch AImean_score (max)56.667
10thof 173Weirdml — Epoch AIAccuracy (high)88.76
11thof 306OTIS Mock AIME 2024-2025mean_score (max)100
12thof 309Arc agi — Epoch AIScore (xhigh)97.5
12thof 154Chess puzzles — Epoch AImean_score (max)59
12thof 25Weirdml v3 — Epoch AIScore (xhigh)14.992
13thof 35Blueprint bench 2 — Epoch AIScore33.623
13thof 46Frontiercode — Epoch AIMain score0.475
13thof 78Frontiermath tier 4 v2 — Epoch AImean_score (max)82.927
13thof 84Proofbench — Epoch AIAccuracy (max)83
14thof 298ARC-AGI-1 (Semi-Private)Score (%) (xhigh)97.5
14thof 14Frontiermath erdos — Epoch AImean_score (max)0
16thof 165LMArena · VisionScore (Elo) (xhigh)1287
17thof 326GPQA Diamondmean_score (max)93.497
18thof 131Artificial Analysis · Agentic IndexIndex47.4
18thof 102Simplebench — Epoch AIScore (AVG@5)0.648
19thof 282ARC-AGI-2 (Public Eval)Score (%) (max)93.75
20thof 414LMArena · TextScore (Elo) (xhigh)1485
20thof 135Webdev arena — Epoch AIArena Score (xhigh)1617.32
23rdof 53LMArena · AgentNet Improvement (%)6.23
24thof 141LMArena · WebDevScore (Elo) (xhigh)1618
26thof 30Mirrorcode — Epoch AImean_score (high)20
27thof 235Scicode — Epoch AIScore (high)57.755
36thof 82Cursorbench — Epoch AIScore (max)41.7
36thof 235Dtbench — Epoch AIAccuracy (xhigh)95.73
37thof 197Lmca — Epoch AIScore (xhigh)58.49
39thof 112ARC-AGI-3 (Semi-Private)Score (%) (max)7.78
88thof 111Vectara Hallucination LeaderboardHallucination Rate12.4

About

GPT-5.6 Sol — a text model from OpenAI, sold by 15 companies from $4 in and $20 out per million tokens, placed 1st of 34 on LMArena · Search.

It takes text, images and files and returns text, with a context window of 272,000 tokens. It was published in July 2026, trained on material up to February 2026. Its sellers say it can reason step by step and call a tool. The catalogue files it under reasoning, code and agents. Fifteen companies sell it. The cheapest is $4 in and $20 out per million tokens at Databricks. Beside the standard rate there are faster, flex, separately routed, batch and regional lanes. It has been measured on 53 boards, and stands best at 1st of 34 on LMArena · Search.

Every current figure

Maker
OpenAI
Register
model
Takes
text + image + file
Returns
text
Context
272,000 tokens
Published
July 2026
Knowledge to
February 2026
Licence
not read
Sellers
15
Price
$4 in and $20 out per million tokens — Databricks
Boards
53
Best place
1st of 34 — LMArena · Search

Known as 26 names

GPT-5.6 Sol (high)GPT-5.6 Sol (low)GPT-5.6 Sol (max)GPT-5.6 Sol (medium)GPT-5.6 Sol (xhigh)gpt-5.6-sol_maxGPT 5.6 Sol (xHigh)gpt-5.6-sol-xhighgpt-5.6-sol-xhigh (codex-harness)GPT-5.6 Sol [medium]OpenAI GPT-5.6 Sol [medium]GPT-5.6-solopenai/gpt-5.6-sol5.6 solopenai/gpt-5.6-sol:batchazure/gpt-5.6-sol@eastus2azure/gpt-5.6-sol@swedencentralazure/openai-responses/gpt-5.6-sol@eastus2azure/openai-responses/gpt-5.6-sol@swedencentralbedrock/gpt-5.6-sol@us-east-1bedrock/gpt-5.6-sol@us-east-2openai-responses/gpt-5.6-solopenai-responses/gpt-5.6-sol:flexopenai/gpt-5.6-sol:flexopenai/gpt-5.6-sol-batchOpenAI: GPT-5.6 Sol (batch)