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AI Rankings

GPT-5.5: Score, Price and Context Window

Where GPT-5.5 from OpenAI ranks, what it costs and how much text it can read, in plain numbers with the sources.

Data updated

  • OpenAI
  • Closed weights
  • Released Apr 2026

Its score range overlaps with GPT-5.6 Terra, the model just above it, so a small gap in rank is not a meaningful difference.

Best for

  • Demanding tasks: its overall Epoch score is in the top 10% of models we track.
  • Fixing real software bugs: it is in the top 10% on SWE-bench Verified.
  • Very long documents: its context window is 1.1M tokens, roughly 788,000 words.

Skip if

  • Tight budgets: it is among the priciest quarter of models in the top half by score.

These lines are worked out from the numbers on this page, not from hands-on testing.

Key facts

Overall score
159.7
Rank 14 of 270. Likely range 157.3 to 163.7.
Human preference: chat
1482
Rank 21 of 166. 69,375 votes, at the "High" setting.
Human preference: coding
1519
Rank 34 of 166. 19,144 votes, at the "High" setting.
Human preference: web pages
1513
Rank 44 of 85. 15,620 votes, at the "xHigh" setting.
Human preference: images
1286
Rank 16 of 85. 28,781 votes.
Price per million tokens
$5.00 in / $30.00 out
Blended $11.25. Cached input $0.50. List price from OpenAI, checked 26 Oct 2026.
Context window
1.1M tokens
About 788,000 words at once. One answer up to 128K tokens.
Weights
Closed
Used through the maker's apps or API (Epoch AI: API access).

Features listed by the price list: Image input, PDF input, Tool use, Reasoning, Web search, Prompt caching, Structured output.

How GPT-5.5 stacks up

Each strip shows every model we track as faint bars. The dot is this model. Better is always to the right, even for price.
GPT-5.5 compared with all models we trackOverall capability: 159.7. Better than 95% of the other 269 models. Human preference: chat: 1482. Better than 87% of the other 165 models. Human preference: coding: 1519. Better than 80% of the other 165 models. Human preference: web pages: 1513. Better than 48% of the other 84 models. Human preference: images: 1286. Better than 82% of the other 84 models. Price: $11.25 per 1M. Cheaper than 8% of the other 200 priced models. Context window: 1.1M tokens. Larger context window than 98% of the other 198 models.
  • Overall capability159.7

    Better than 95% of the other 269 modelsTop 10%

    Epoch Capabilities Index: one score that combines many tests.

  • Human preference: chat1482

    Better than 87% of the other 165 modelsTop 25%

    How often people pick its answers over another model's on Arena.

  • Human preference: coding1519

    Better than 80% of the other 165 modelsTop 25%

    How often people pick its answers to coding questions on Arena.

  • Human preference: web pages1513

    Better than 48% of the other 84 models

    How often people pick the web pages and small apps it builds on Arena.

  • Human preference: images1286

    Better than 82% of the other 84 modelsTop 25%

    How often people pick its answers about pictures on Arena.

  • Price$11.25 per 1M

    Cheaper than 8% of the other 200 priced models

    Blended price per million tokens. Lower is better, so the cheapest models sit on the right.

  • Context window1.1M tokens

    Larger context window than 98% of the other 198 modelsTop 10%

    How much text it can read at once. Bigger suits long documents.

Compared with the other published models that have each measure. Data updated 26 Oct 2026.

Test results

Each test checks one kind of skill. Place shows where it stands among the models that took that test.
  • OTIS Mock AIME

    Maths competition problems in the style of the US AIME exam, from the 2024 and 2025 sets. Every answer is a whole number.

    100.0%

    Place 1 of 174

    tied with 11 others

  • GPQA Diamond

    Very hard multiple-choice science questions in biology, physics and chemistry, written by experts and designed so a quick web search does not give the answer.

    94.0%

    Place 11 of 183

    tied with 1 other

  • SWE-bench Verified

    Real bug reports from open-source software projects. The AI has to change the code so the project's own tests pass. The tasks were checked by people.

  • ARC-AGI-2

    Visual puzzles where the AI must work out a new rule from a few examples and apply it. They test picking up a new idea quickly, not recalling facts.

  • FrontierMath (Tiers 1-3)

    Original, very hard maths problems written by mathematicians. Each has an exact answer and the problems are kept private so models cannot have memorised them. This is the Tiers 1 to 3 set, version 2.

  • SimpleBench

    Everyday common-sense and trick questions that most people answer correctly but AI models often get wrong.

  • SimpleQA Verified

    Short factual questions that each have one correct answer. It measures how often a model gets facts right.

  • DeepSWE

    Software engineering tasks scored as the share solved on the first try (pass@1), run with the open mini-SWE-agent setup.

What it costs in everyday terms

List prices turned into amounts you can picture. Real bills depend on how you use it.
100 chats
$2
Cost of 100 chats assumes each chat sends 1,000 tokens (about 750 words) and gets 500 tokens (about 375 words) back.
A 300-page book
$0.50
Cost to read a 300-page book assumes about 100,000 input tokens and no reply. A real book varies with page size and language.
Blended price
$11.25 per 1M
Three parts input to one part output. Our own calculation for comparing models.

Assumptions: 100 chats of about 1,000 tokens in and 500 tokens back. a 300-page book of about 100,000 tokens, read once with no reply.

Questions about GPT-5.5

How much does GPT-5.5 cost?
GPT-5.5 costs $5.00 per million input tokens and $30.00 per million output tokens, using the list price from OpenAI as of 26 Oct 2026. That is about $2 for 100 chats of about 1,000 tokens in and 500 tokens back. Confirm on the maker's site before you buy, because prices change.
What is the context window of GPT-5.5?
GPT-5.5 has a context window of 1.1M tokens, roughly 788,000 words of text read at once. A single answer can be up to 128K tokens long.
Is GPT-5.5 open source?
We list GPT-5.5 as closed: it is used through its maker's apps or API and its weights are not published (Epoch AI lists its access as "API access").
How good is GPT-5.5 compared with other AI models?
On the Epoch Capabilities Index, GPT-5.5 scores 159.7 (likely range 157.3 to 163.7), which ranks 14 of 270 models we track. On Arena's human-vote text board it is ranked 21 of 166. Scores close together are a tie in practice.
How does GPT-5.5 compare with Claude Sonnet 5.5?
On quality, neither model leads clearly across the 9 measures both have. 5 measures are too close to call. Claude Sonnet 5.5 costs about 64% less than GPT-5.5 on a blended price of $4.00 against $11.25 per million tokens. See the full comparison for every measure.
How current are these numbers for GPT-5.5?
The newest data on this page is dated 26 Oct 2026. Scores come from Epoch AI and Arena, prices from the open LiteLLM price list.

Where this data comes from

  • Epoch AI: Benchmark data: Epoch AI, 'Capabilities & benchmarking', epoch.ai/benchmarks (CC BY 4.0). We match models across sources, rank them and show them in charts. Scores are not changed. Epoch AI does not endorse this site.
  • Arena (formerly LMArena): Human-preference ratings: Arena (arena.ai) leaderboard dataset, CC BY 4.0. We keep the latest published ratings, match them to models from other sources and rank them. Ratings are not changed. Arena does not endorse this site.
  • LiteLLM model price list: Prices and context windows: LiteLLM model price list (github.com/BerriAI/litellm, MIT licence). We use the model maker's own price entry when there is one. Prices change often, so always confirm on the maker's site before you buy.

Newest data on this page: 26 Oct 2026. Prices are list prices and change often, so confirm on the maker's site before you buy. Sponsors never change a score or an order. How we calculate this · Report a mistake

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