Models / OpenAI/ GPT-5.5

GPT-5.5

OpenAI · released Apr 24, 2026

Input: text, images and documents. Output: text.InputOutput
Type
Proprietary
Input
$5.00
Output
$30.00
Cached
$0.50

List price · per 1M tokens · OpenAI at 1.1M context · source ↗

Our take

Written Aug 3, 2026

GPT-5.5 is OpenAI's flagship multimodal model that can handle up to 1.05 million tokens in a single request, making it one of the longest-context frontier offerings available. It excels at coding tasks but scores lowest on creative writing among its measured capabilities, with tiered pricing that spans a wide range.

Who should pick it

Choose this for analysing full book-length documents or large codebases in one pass, or for premium coding assistance where it scores highest in its benchmark suite. Use it for enterprise deployments through Azure or Amazon Bedrock when compliance requirements matter. Skip it if you need strong creative writing output, want to self-host or fine-tune, or are looking for a budget option under a dollar per million tokens.

The case for it

  • One of the longest context windows among frontier-class models we track, at 1.05 million tokens.
  • Top measured coding performance in its benchmark suite, with an Arena Coding Elo of 1520.4661.
  • Wide provider choice with a tenfold price spread between base and premium tiers for budget flexibility.
  • Hard-prompt handling is notably stronger than its creative writing, with a 44.9314-point Elo gap between the two.

The case against it

  • Creative writing is its weakest measured capability, scoring lowest in its entire benchmark set.
  • Expensive at every tier, with no sub-dollar offering available.
  • Throughput is inconsistent and sometimes slow for the price, with the cheaper Azure tier delivering 1.84 times the speed of a more expensive OpenAI tier.
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How good is it?

IntelligencePuzzles, maths, exam questions

4 of 5

Arena Text (overall)11th of 143 · 1476.3

Arena Hard Prompts 14th of 143Arena Maths 6th of 139LiveBench Data Analysis 1st of 35 via xHighLiveBench Mathematics 3rd of 35 via xHighLiveBench Reasoning 5th of 35 via xHigh

Also on this board: 1482.4 via High (Aug 2, 2026). Read the pair, not the higher one.

CodingWriting and fixing code on its own

4 of 5

Arena Coding20th of 143 · 1514.3

Arena Code (WebDev) 21st of 74 via codex-harnessLiveBench Coding 5th of 35 via xHigh

Also on this board: 1520.5 via High (Aug 2, 2026). Read the pair, not the higher one.

AgenticPlanning, calling tools, staying on task

3 of 5

Arena Agent (IPS)10th of 36 · 0.055

SWE-bench Verified 5th of 39 via Prometheus-v1.2.1LiveBench Agentic Coding 9th of 35 via xHigh

Also on this board: 0.079 via High (Jul 28, 2026), 0.085 via xHigh (Jul 28, 2026). Read the pair, not the higher one.

WritingWe do not rate this

Scored, not ratedThe placings are on the right.

Two boards come close and neither tests writing: Arena Creative Writing asks people which of two replies they prefer, and LiveBench Language tests whether a model understood a passage. So we show where GPT-5.5 placed and give it no mark out of five.

Arena Creative Writing 14th of 143 · 1456.6LiveBench Language 4th of 35 · 87.4 via xHigh
Also scored, on boards we give no mark for
Arena Instruction Following 13th of 143LiveBench 3rd of 35 via xHighLiveBench Instruction Following 9th of 35 via xHigh

These tests check whether a model follows instructions — a precondition for all the work above, but not a measure of how well that work is done, which is why they get no rating.

Every published score for this model17 scoresEvery figure we hold, from 17 boards, with who ran it and a link to the source — including the boards no rating above is built on.
LiveBenchreasoning
80.2via xHighindependentsource ↗
54via xHighindependentsource ↗
82.2via xHighindependentsource ↗
81.6via xHighindependentsource ↗
70.7via xHighindependentsource ↗
87.4via xHighindependentsource ↗
95.9via xHighindependentsource ↗
89.7via xHighindependentsource ↗
0.055independentsource ↗
1514.3independentsource ↗
1495.3independentsource ↗
1499.3independentsource ↗
1476.3independentsource ↗
1508.9via codex-harnessindependentsource ↗
74.4via Prometheus-v1.2.1independentsource ↗
01

Or rent it from someone else

Cheapest published offer

The lab is also the cheapest we hold. The strip above and this offer are the same one, so nothing on this page undercuts OpenAI on 1.1M of context.

per 1M tokens
$5.00 in / $30.00 out
Context served
1.1M
Throughput
~43 tok/s
Current provider offers with price, context and prompt-privacy answers
ProviderIn / out per 1M tokensContextThroughputTrains on promptsLogs promptsZero retention
OpenAIdefault tier$1.25 / $10.00400K40 tok/sNoYesunknown periodUnknown
Microsoft Azure AI$1.25 / $10.00400K68 tok/sNoNoConfirmed
Microsoft Azure AIswedencentral$1.38 / $11.00400K83 tok/sNoNoConfirmed
OpenAIflex tier$2.50 / $15.001.1M82 tok/sNoYesunknown periodUnknown
OpenAI$5.00 / $30.001.1M128K out43 tok/sNoYesunknown periodUnknown
OpenRouter$5.00 / $30.001.1Mnot measuredUnknownUnknownUnknown
Amazon Bedrockus-east-1$5.50 / $33.001.1M52 tok/sNoNoUnknown
Microsoft Azure AIeu$5.50 / $33.001.1M75 tok/sNoNoConfirmed
OpenAIpriority tier$12.50 / $75.001.1M50 tok/sNoYesunknown periodUnknown

Across the 9 listings we hold: 8 say they do not train on prompts, 0 say they do and 1 do not say. 3 appear in the zero-retention registry we check; the rest are unknown to us rather than confirmed either way.

What each host's API supports

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

Supported
Not supported
Not published
host gave no parameter list
API features per host
ProviderTool callingJSON outputStrict schema
OpenAIdefault
Microsoft Azure AI
Microsoft Azure AIswedencentral
OpenAIflex
OpenAI
OpenRouter
Amazon Bedrockus-east-1
Microsoft Azure AIeu
OpenAIpriority

Tool calling: 9 of 9 listings say yes. JSON output: 8 of 9 listings say yes, 1 says no. Strict schema: 8 of 9 listings say yes, 1 says no.

02

Models people weigh against GPT-5.5

03

When we formed this view

Dates behind this page

Aug 2, 2026BenchmarkScored 1514.3 on Arena Codingleaderboard
Aug 2, 2026BenchmarkScored 1456.6 on Arena Creative Writingleaderboard
Aug 2, 2026BenchmarkScored 1495.3 on Arena Hard Promptsleaderboard
Aug 2, 2026BenchmarkScored 1472.7 on Arena Instruction Followingleaderboard
Aug 2, 2026BenchmarkScored 1499.3 on Arena Mathsleaderboard
Aug 2, 2026BenchmarkScored 1476.3 on Arena Text (overall)leaderboard
Aug 2, 2026BenchmarkScored 1508.9 via codex-harness on Arena Code (WebDev)leaderboard
Jul 31, 2026Price changeAmazon Bedrock raised GPT-5.5 pricing by 10%input +10% ($5.00 → $5.50 per 1M tokens); output +10% ($30.00 → $33.00 per 1M tokens); cache read +10% ($0.50 → $0.55 per 1M tokens)
Jul 28, 2026BenchmarkScored 0.055 on Arena Agent (IPS)leaderboard
Jul 26, 2026ListedListed on LLMapfirst indexed by our pipeline

Prices last checked 9d ago

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 9 listings do not say whether they train on prompts.
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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

Commercial API terms. We hold no licence record for this model, so there is nothing to summarise here.

Identifiers

Modality record
text+image+file->text
Catalogue slug
openai-gpt-5-5

Machine-readable model card (omc.json) →

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