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ModelCap

GPT-3.5 Turbo 16k

API only

OpenAI·openai/gpt-3.5-turbo-16k

GPT-3.5 Turbo 16k listed OpenRouter input price is $3.00 per 1M tokens and listed output price is $4.00 per 1M tokens, from OpenRouter listed prices as of 22 Sept 2026, 02:49 UTC.

GPT-3.5 Turbo 16k has a published context limit of 16K tokens in the ModelCap catalogue as of 22 Sept 2026, 02:49 UTC.

GPT-3.5 Turbo 16k has 2 published OpenRouter serving endpoints, from OpenRouter as of 22 Sept 2026, 02:49 UTC.

GPT-3.5 Turbo 16k weight access is api only, from ModelCap classification of published repository metadata as of 22 Sept 2026, 02:49 UTC.

Snapshot facts · download the public dataset · methodology

ModelCap Index · All-versions archive
Not scored · 0% support · score interval not available
Market Gravity
32.7
Secondary market signal

Superseded by GPT-4 Turbo. It no longer holds a current-board position.

Input
$3.00
per 1M tokens
Output
$4.00
per 1M tokens
Context
16K
tokens
Providers
2
endpoints
Gateway spend
latest · Vercel share

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
AzureCheapest$3.00$4.0016K
OpenAI$3.00$4.0016K

Other versions (4)

ModelCap Index · All-versions archive

Methodology
Not scored · no public benchmark evidence
Public rank basis
Not scored (abstained)
Index support
0.0% · not applicable
Index interval
Not available
Rank posterior
Not available
Top 5 / Top 10 probability
Not available / Not available
Posterior as of
Snapshot timestamp unavailable
Evidence as of
No admitted evaluation publication timestamp
Identity binding
Exact catalogue product · openai/openai/gpt-3.5-turbo-16k · aggregates disclosed benchmark configurations · endpoint configuration not claimed
Index observations used
0
Architecture fallback
abstained · 0% coverage · 0 anchors
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
Evidence status
No admitted measured evidence
General preference
Coding
Agents & tools
Reasoning
Evidence breadth
0%
Evidence coverage
0%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
0.7
Liquidity (providers × uptime)
98.9
Open reach (HF downloads)
Surface (context / tools / modalities)
30.1
Freshness
1.4
  • · OpenRouter popularity #310
  • · 2 live providers
  • · Catalogue: context 16385, tools
  • · First seen 2023-08-28

These adoption and deployment observations remain context only. They do not change this model's ModelCap Index score or rank.

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.

Experimental capability estimate

Estimate policy
Estimator abstained

insufficient-artifact-metadata

Feature coverage
86%
Training support
207 models · 119 lineages

insufficient-artifact-metadata. This layer predicts from admitted evidence and safe metadata only. It never enters ModelCap Score or rank.

Deployment readiness

Metadata index
33.1
limited · 38% metadata coverage
Not capability
Artifact reproducibility
0.0
Access & legal clarity
30.3
Deployability
90.0
Evaluation provenance
0.0

Missing: artifactReproducibility.revision-sha, artifactReproducibility.architecture-and-model-type, artifactReproducibility.parameter-count, artifactReproducibility.serialized-weight-format, artifactReproducibility.base-lineage, accessLegalClarity.declared-license, accessLegalClarity.resolvable-license-terms, evaluationProvenance.admitted-evaluation-observations, evaluationProvenance.capability-family-breadth, evaluationProvenance.evaluation-source-diversity, evaluationProvenance.identity-and-source-confidence, evaluationProvenance.evaluation-dataset-revisions.

A metadata completeness and deployability index—not a safety certification, quality grade, or production-readiness claim.

Market activity

Venue coverage
Market Gravity
32.7
OpenRouter weekly popularity
#310 of 322

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

No matched Arena rating

This model is visible because it is available in the live catalogue, but it has no trustworthy community result yet. ModelCap does not infer a quality score from price, features, or market activity.

Market Gravity breakdown

Usage55%
0.7

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
98.9

Independent providers versus the model's open or closed cohort, weighted by uptime.

Open reach15%
50.0

Hugging Face 30-day downloads for open models; neutral for closed models.

Freshness5%
1.4

Time since first public availability, on a six-month half-life.

Specification

Context window
16K tokens
Max output
4K tokens
Inputs
Text
Outputs
Text
Tokenizer
GPT
Cached input tokens
Not offered
First seen on OpenRouter
28 Aug 2023
Knowledge cutoff
2021-09-30

Capabilities

  • Not supported: Reasoning
  • Supported: Tool use
  • Supported: Structured output
  • Supported: Response format
  • Not supported: Moderated

GPT-3.5 Turbo 16k: common questions

How does GPT-3.5 Turbo 16k rank among AI models?

GPT-3.5 Turbo 16k is a superseded version and is not on the current board as of 22 September 2026. Its archive position, where one exists, is shown on the page; the newer version carries the current rank.

How much does GPT-3.5 Turbo 16k cost per 1M tokens?

GPT-3.5 Turbo 16k is listed at $3.00 per 1M input tokens and $4.00 per 1M output tokens as of 22 September 2026 across 2 providers. Prices come from the OpenRouter catalogue and re-observe on every refresh. For 1,000 requests using 2,000 input and 500 output tokens each, the listed rates imply $8.00 total (2M input + 0.5M output). This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the chosen endpoint's rate and limits before budgeting.

What is the context window of GPT-3.5 Turbo 16k?

GPT-3.5 Turbo 16k has a published context window of 16K tokens (16,385) and a maximum output of 4K tokens. Individual providers can serve less than the published maximum; the providers table lists each endpoint's own limit.

Is GPT-3.5 Turbo 16k open-weight?

API only. No downloadable model weights are linked in the current source data; access is through a hosted API or product.

Which API providers serve GPT-3.5 Turbo 16k?

2 providers serve GPT-3.5 Turbo 16k through OpenRouter as of 22 September 2026: Azure and OpenAI. Each provider's price, context limit, quantization and measured uptime are in the providers table above.

When was GPT-3.5 Turbo 16k released?

GPT-3.5 Turbo 16k first appeared in the catalogue on 28 Aug 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.