AI Rankings
GPT-3.5 Turbo (Jan 2024): Score, Price and Context Window
Data updated
- OpenAI
- Closed weights
- Released Jan 2024
Its score range overlaps with Gemma 3 4B, 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
- Price per million tokens
- $0.50 in / $1.50 out
- Blended $0.75. List price from OpenAI, checked 26 Oct 2026.
Features listed by the price list: Tool use, Prompt caching.
How GPT-3.5 Turbo (Jan 2024) stacks up
- Overall capability115.7
Better than 20% of the other 269 models
Epoch Capabilities Index: one score that combines many tests.
- Human preference: chat1226
Better than 5% of the other 165 models
How often people pick its answers over another model's on Arena.
- Human preference: coding1275
Better than 6% of the other 165 models
How often people pick its answers to coding questions on Arena.
- Price$0.75 per 1M
Cheaper than 59% of the other 200 priced modelsUpper half
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.
Where GPT-3.5 Turbo (Jan 2024) ranks
Test results
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.
2.2%
Place 162 of 174
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.
27.2%
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.
0.0%
What it costs in everyday terms
- 100 chats
- $0.13
- 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
- $0.05
- 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
- $0.75 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.
Similar models
Questions about GPT-3.5 Turbo (Jan 2024)
- How much does GPT-3.5 Turbo (Jan 2024) cost?
- GPT-3.5 Turbo (Jan 2024) costs $0.50 per million input tokens and $1.50 per million output tokens, using the list price from OpenAI as of 26 Oct 2026. That is about $0.13 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 (Jan 2024)?
- GPT-3.5 Turbo (Jan 2024) 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 (Jan 2024) open source?
- We list GPT-3.5 Turbo (Jan 2024) 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 (Jan 2024) compared with other AI models?
- On the Epoch Capabilities Index, GPT-3.5 Turbo (Jan 2024) scores 115.7 (likely range 107.8 to 119.1), which ranks 214 of 270 models we track. On Arena's human-vote text board it is ranked 157 of 166. Scores close together are a tie in practice.
- How does GPT-3.5 Turbo (Jan 2024) compare with Gemma 3 4B?
- Gemma 3 4B scores higher on 2 of 5 shared quality measures, GPT-3.5 Turbo (Jan 2024) on 1. 2 measures are too close to call. Gemma 3 4B costs about 93% less than GPT-3.5 Turbo (Jan 2024) on a blended price of $0.05 against $0.75 per million tokens. See the full comparison for every measure.
- How current are these numbers for GPT-3.5 Turbo (Jan 2024)?
- 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