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AI Rankings

GPT-4.5: Score, Price and Context Window

Where GPT-4.5 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 Feb 2025

Its score range overlaps with Qwen3-30B-A3B-Instruct (Jul 2025), the model just above it, so a small gap in rank is not a meaningful difference.

Key facts

Overall score
136.7
Rank 137 of 270. Likely range 133.7 to 138.7.
Human preference: chat
1445
Rank 66 of 166. 14,547 votes.
Human preference: coding
1458
Rank 94 of 166. 1,939 votes.
Human preference: images
1225
Rank 57 of 85. 2,925 votes.
Price per million tokens
$75.00 in / $150 out
Blended $93.75. Cached input $37.50. List price from Azure, checked 26 Oct 2026.
Context window
128K tokens
About 96,000 words at once. One answer up to 16K tokens.
Weights
Closed
Used through the maker's apps or API (Epoch AI: API access).

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

How GPT-4.5 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-4.5 compared with all models we trackOverall capability: 136.7. Better than 49% of the other 269 models. Human preference: chat: 1445. Better than 60% of the other 165 models. Human preference: coding: 1458. Better than 43% of the other 165 models. Human preference: images: 1225. Better than 33% of the other 84 models. Price: $93.75 per 1M. Cheaper than 0% of the other 200 priced models. Context window: 128K tokens. Larger context window than 19% of the other 198 models.
  • Overall capability136.7

    Better than 49% of the other 269 models

    Epoch Capabilities Index: one score that combines many tests.

  • Human preference: chat1445

    Better than 60% of the other 165 modelsUpper half

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

  • Human preference: coding1458

    Better than 43% of the other 165 models

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

  • Human preference: images1225

    Better than 33% of the other 84 models

    How often people pick its answers about pictures on Arena.

  • Price$93.75 per 1M

    Cheaper than 0% of the other 200 priced models

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

  • Context window128K tokens

    Larger context window than 19% of the other 198 models

    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.
  • 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.

  • Aider Polyglot

    225 coding exercises in six programming languages. The AI edits the code files and the exercise's tests decide pass or fail.

  • 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.

    37.8%

    Place 121 of 174

    tied with 1 other

  • SimpleBench

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

  • 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.

    0.8%

    Place 75 of 86

    tied with 1 other

  • Humanity's Last Exam

    A large set of very hard, expert-written questions across many subjects, built to stay difficult for top AI models.

What it costs in everyday terms

List prices turned into amounts you can picture. Real bills depend on how you use it.
100 chats
$15
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
$7.50
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
$93.75 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-4.5

How much does GPT-4.5 cost?
GPT-4.5 costs $75.00 per million input tokens and $150 per million output tokens, using the list price from Azure as of 26 Oct 2026. That is about $15 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-4.5?
GPT-4.5 has a context window of 128K tokens, roughly 96,000 words of text read at once. A single answer can be up to 16K tokens long.
Is GPT-4.5 open source?
We list GPT-4.5 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-4.5 compared with other AI models?
On the Epoch Capabilities Index, GPT-4.5 scores 136.7 (likely range 133.7 to 138.7), which ranks 137 of 270 models we track. On Arena's human-vote text board it is ranked 66 of 166. Scores close together are a tie in practice.
How does GPT-4.5 compare with Qwen3-30B-A3B?
GPT-4.5 scores higher on 3 of 5 shared quality measures, Qwen3-30B-A3B on 1. 1 measure is too close to call. Qwen3-30B-A3B costs about 100% less than GPT-4.5 on a blended price of $0.17 against $93.75 per million tokens. See the full comparison for every measure.
How current are these numbers for GPT-4.5?
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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