How much does GPT-3.5 Turbo (Nov 2023) cost?

GPT-3.5 Turbo (Nov 2023) costs $1.00 per million input tokens and $2.00 per million output tokens, using the list price from OpenAI as of 26 Oct 2026. That is about $0.20 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-3.5 Turbo (Nov 2023)?

GPT-3.5 Turbo (Nov 2023) has a context window of 16K tokens, roughly 12,000 words of text read at once. A single answer can be up to 4K tokens long.

Is GPT-3.5 Turbo (Nov 2023) open source?

We list GPT-3.5 Turbo (Nov 2023) 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-3.5 Turbo (Nov 2023) compared with other AI models?

On the Epoch Capabilities Index, GPT-3.5 Turbo (Nov 2023) scores 118.5 (likely range 110.6 to 121.4), which ranks 203 of 270 models we track. On Arena's human-vote text board it is ranked 160 of 166. Scores close together are a tie in practice.

How does GPT-3.5 Turbo (Nov 2023) compare with Qwen2.5-7B?

Qwen2.5-7B scores higher on 1 of 2 shared quality measures, GPT-3.5 Turbo (Nov 2023) on 0. 1 measure is too close to call. Qwen2.5-7B costs about 94% less than GPT-3.5 Turbo (Nov 2023) on a blended price of $0.078 against $1.25 per million tokens. See the full comparison for every measure.

How current are these numbers for GPT-3.5 Turbo (Nov 2023)?

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.

AI Rankings

GPT-3.5 Turbo (Nov 2023): Score, Price and Context Window

Where GPT-3.5 Turbo (Nov 2023) from OpenAI ranks, what it costs and how much text it can read, in plain numbers with the sources.

Data updated 26 Oct 2026

OpenAI
Closed weights
Released Nov 2023

Its score range overlaps with Qwen2.5-7B, the model just above it, so a small gap in rank is not a meaningful difference.

Skip if

Cutting-edge tasks: its overall Epoch score is in the lower part of the models we track.
Long documents: its context window is only 16K tokens.

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

Key facts

Overall score: 118.5; Rank 203 of 270. Likely range 110.6 to 121.4.
Human preference: chat: 1204; Rank 160 of 166. 16,619 votes.
Human preference: coding: 1262; Rank 158 of 166. 2,121 votes.
Price per million tokens: $1.00 in / $2.00 out; Blended $1.25. List price from OpenAI, checked 26 Oct 2026.
Context window: 16K tokens; About 12,000 words at once. One answer up to 4K tokens.
Weights: Closed; Used through the maker's apps or API (Epoch AI: API access).

Features listed by the price list: Tool use, Prompt caching.

Try itChatGPT in our AI tools directoryOpenAI's AI assistant for writing, coding, research, file analysis, and connected work across chats and projects.

How GPT-3.5 Turbo (Nov 2023) 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-3.5 Turbo (Nov 2023) compared with all models we trackOverall capability: 118.5. Better than 24% of the other 269 models. Human preference: chat: 1204. Better than 3% of the other 165 models. Human preference: coding: 1262. Better than 4% of the other 165 models. Price: $1.25 per 1M. Cheaper than 47% of the other 200 priced models. Context window: 16K tokens. Larger context window than 9% of the other 198 models.

Overall capability118.5
Better than 24% of the other 269 models
Epoch Capabilities Index: one score that combines many tests.
Human preference: chat1204
Better than 3% of the other 165 models
How often people pick its answers over another model's on Arena.
Human preference: coding1262
Better than 4% of the other 165 models
How often people pick its answers to coding questions on Arena.
Price$1.25 per 1M
Cheaper than 47% of the other 200 priced models
Blended price per million tokens. Lower is better, so the cheapest models sit on the right.
Context window16K tokens
Larger context window than 9% 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.

Where GPT-3.5 Turbo (Nov 2023) ranks

Leaderboards it appears on, best placing first.

See all leaderboards

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.
28.0%
Place 173 of 183

What it costs in everyday terms

List prices turned into amounts you can picture. Real bills depend on how you use it.

100 chats: $0.20; 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: $0.10; 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: $1.25 per 1M; Three parts input to one part output. Our own calculation for comparing models.

Similar models

Models from other makers with a similar overall score.

Learn more

Questions about GPT-3.5 Turbo (Nov 2023)

How much does GPT-3.5 Turbo (Nov 2023) cost?: GPT-3.5 Turbo (Nov 2023) costs $1.00 per million input tokens and $2.00 per million output tokens, using the list price from OpenAI as of 26 Oct 2026. That is about $0.20 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-3.5 Turbo (Nov 2023)?: GPT-3.5 Turbo (Nov 2023) has a context window of 16K tokens, roughly 12,000 words of text read at once. A single answer can be up to 4K tokens long.
Is GPT-3.5 Turbo (Nov 2023) open source?: We list GPT-3.5 Turbo (Nov 2023) 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-3.5 Turbo (Nov 2023) compared with other AI models?: On the Epoch Capabilities Index, GPT-3.5 Turbo (Nov 2023) scores 118.5 (likely range 110.6 to 121.4), which ranks 203 of 270 models we track. On Arena's human-vote text board it is ranked 160 of 166. Scores close together are a tie in practice.
How does GPT-3.5 Turbo (Nov 2023) compare with Qwen2.5-7B?: Qwen2.5-7B scores higher on 1 of 2 shared quality measures, GPT-3.5 Turbo (Nov 2023) on 0. 1 measure is too close to call. Qwen2.5-7B costs about 94% less than GPT-3.5 Turbo (Nov 2023) on a blended price of $0.078 against $1.25 per million tokens. See the full comparison for every measure.
How current are these numbers for GPT-3.5 Turbo (Nov 2023)?: 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