How does GPT-3.5 Turbo rank among AI models?
GPT-3.5 Turbo is a superseded version and is not on the current board as of 6 November 2026. Its archive position, where one exists, is shown on the page; the newer version carries the current rank.
GPT-3.5 Turbo
Arena #348No linked weightsOpenAI·#431 of 504 in the all-versions archive
GPT-3.5 Turbo is a language model from OpenAI. It ranks #431 of 504 in ModelCap's all-versions archive, with an Index score of 15.3, measured on 2 public benchmarks. Its score range of 10.3–20.3 spans positions #416–#473. It reads up to 16K tokens of context, with no downloadable weights linked in the current source data.
Figures as of 6 Nov 2026, 20:49 UTC · download the public dataset · methodology
ModelCap Index · All-versions archive
15.3#431
Measured on 2 public benchmarks · range 10.3–20.3
Evidence as of 28 Oct 2026, 00:00 UTC
Superseded by GPT-4 Turbo. It no longer holds a current-board position; its all-versions archive rank is #431.
Input
Unlisted
no listed API price
Output
Unlisted
no listed API price
Context
16K
tokens
Providers
0
endpoints
Providers
Uptime measured over the last 30 minutesNo provider is currently serving this model.
Reasoning efforts
Best supported result can inform ModelCapPublished Max, X-High, High and other configurations for this model. These are sourced scores, not head-to-head essays.
Related community configurations
Human preference ratingOther versions (4)
ModelCap Index · All-versions archive
Methodology15.3
Measured on 2 public benchmarks
All-versions archive
#431 of 504
- Score range
- 10.3–20.3
- Rank range
- #416–#473
- Evidence as of
- 28 Oct 2026, 00:00 UTC
- Benchmarks used
- Arena Coding, Arena Overall
Technical details
- Public rank basis
- Measured (measured)
- Evidence label
- Measured · 2 public benchmark observations across 2 boards
- Index support
- 62.5% · strong
- Identity binding
- Exact catalogue product · openai/openai/gpt-3.5-turbo · aggregates disclosed benchmark configurations · endpoint configuration not claimed
- Index observations used
- 2
- Qualified Index evidence point
- 15.3
Bayesian Evidence Score · measured evidence input only
BES normalizes admitted public benchmark evidence for measured Index rows. Its legacy score and observables prior do not define the public language rank.
- Observed capability
- 15.3
- Evidence status
- confirmed · 77% mass
- General preference
- 15.1
- Coding
- 16.7
- Agents & tools
- —
- Reasoning
- —
- Evidence breadth
- 92%
- Evidence coverage
- 63%
Market and catalogue signals · secondary, never the language Index rank
- Usage (OpenRouter popularity)
- —
- Liquidity (providers × uptime)
- —
- Open reach (HF downloads)
- —
- Surface (context / tools / modalities)
- 30.1
- Freshness
- 0.8
- · Catalogue: context 16385, tools
- · First seen 2023-05-28
These adoption and deployment observations remain context only. They do not change this model's ModelCap Index score or rank.
BES evidence selected · measured input only
- Arena Overall · Release 012515.1
- Arena Coding · Release 012516.7
The bounded 0–100 capability score blends each source’s competitive placement with its published achievement, then combines capability families. Evidence breadth adds a modest uncertainty adjustment; price and popularity are not part of benchmark-led rank.
Deployment readiness
Metadata index27.2
limited · 37% metadata coverage
- Artifact reproducibility
- 0.0
- Access & legal clarity
- 30.3
- Deployability
- 35.0
- Evaluation provenance
- 53.1
Not yet published: a pinned repository revision, the architecture and model type, a parameter count, safetensors weight metadata, the base model it derives from, a declared licence, a link to the licence terms, a current serving provider, measured provider uptime, published provider pricing, pinned evaluation dataset versions.
A metadata completeness and deployability index—not a safety certification, quality grade, or production-readiness claim.
Market activity
Venue coverage- Market Gravity
- 7.5
- OpenRouter weekly popularity
- Not listed
Market Gravity uses OpenRouter’s full-catalogue popularity order. Sparse Vercel top-ten observations appear only when published and do not affect the score.
Arena preference
- Status
- Ranked
- Source
- LMArena
- Official rank
- #348 of 419
- Rating
- 1204.3
- 95% confidence interval
- 1196–1213
- Votes
- 17K
- Source published at
- 28 Oct 2026, 00:00 UTC
- Category
- overall
- Identity match confidence
- 99%
Market Gravity breakdown
- Usage55%
- 0.0
- Liquidity25%
- 0.0
- Open reach15%
- 50.0
- Freshness5%
- 0.8
OpenRouter weekly popularity across the full model catalogue.
Independent providers versus the model's open or closed cohort, weighted by uptime.
Hugging Face 30-day downloads for open models; neutral for closed models.
Time since first public availability, on a six-month half-life.
Specification
- Model ID
openai/gpt-3.5-turbo- Context window
- 16K tokens
- Declared output cap
- 4K tokens
OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. OpenRouter metadata
- Inputs
- Text
- Outputs
- Text
- Tokenizer
- GPT
- Cached input tokens
- Not offered
- First seen on OpenRouter
- 28 May 2023
- Knowledge cutoff
- 2021-09-30
Capabilities
- Not supported: Reasoning
- Supported: Tool use
- Supported: Structured output
- Supported: Response format
- Supported: Moderated
Benchmark leaderboards featuring GPT-3.5 Turbo
All leaderboardsGPT-3.5 Turbo: common questions
How much does GPT-3.5 Turbo cost per 1M tokens?
No live API price is listed for GPT-3.5 Turbo in the current snapshot as of 6 November 2026 because no serving endpoint is published. ModelCap shows a price only when a provider currently lists one.
What is the context window of GPT-3.5 Turbo?
GPT-3.5 Turbo has a published context window of 16K tokens (16,385). The snapshot lists a 4,096 token catalogue-declared route output cap. OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. The providers table lists each endpoint's context limit.
Is GPT-3.5 Turbo open-weight?
No linked weights. No downloadable model weights are linked in the current source data. This does not identify every API or chat product that offers the model.
Which benchmarks has GPT-3.5 Turbo been evaluated on?
GPT-3.5 Turbo has published results on 2 public boards tracked by ModelCap as of 6 November 2026: Arena text 1226 (#338 of 419) and Arena coding 1275 (#328 of 414). Each board page ranks every tracked model on that benchmark. The ModelCap Index scores the results its methodology admits, with published uncertainty, and shows reference boards without scoring them.
When was GPT-3.5 Turbo released?
GPT-3.5 Turbo first appeared in the catalogue on 28 May 2023, with a published knowledge cutoff of 2021-09-30. It has since been superseded by GPT-4 Turbo. Rank and price movements since then are recorded on the site's changes feed.