How does GPT-4 rank among AI models?
GPT-4 is a superseded version and is not on the current board as of 6 November 2026.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-4
Arena #310No linked weightsOpenAI·#383 of 504 in the all-versions archive
GPT-4 is a language model from OpenAI. It ranks #383 of 504 in ModelCap's all-versions archive, with an Index score of 24.7, measured on 2 public benchmarks. Its score range of 19.7–29.7 spans positions #357–#418. It is listed at $30.00 per million input tokens and $60.00 per million output tokens from one provider. It reads up to 8K tokens of context, with no downloadable weights linked in the current source data.
Figures as of 6 Nov 2026, 13:52 UTC · download the public dataset · methodology
ModelCap Index · All-versions archive
24.7#383
Measured on 2 public benchmarks · range 19.7–29.7
Evidence as of 28 Oct 2026, 00:00 UTC
Superseded by GPT-5.5. It no longer holds a current-board position; its all-versions archive rank is #383.
Input
$30.00
per 1M tokens
Output
$60.00
per 1M tokens
Context
8K
tokens
Providers
1
endpoint
Providers
Uptime measured over the last 30 minutesReasoning 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 (6)
ModelCap Index · All-versions archive
Methodology24.7
Measured on 2 public benchmarks
All-versions archive
#383 of 504
- Score range
- 19.7–29.7
- Rank range
- #357–#418
- 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
- 62.3% · strong
- Identity binding
- Exact catalogue product · openai/openai/gpt-4 · aggregates disclosed benchmark configurations · endpoint configuration not claimed
- Index observations used
- 2
- Qualified Index evidence point
- 24.7
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
- 24.7
- Evidence status
- confirmed · 77% mass
- General preference
- 24.6
- Coding
- 25.7
- Agents & tools
- —
- Reasoning
- —
- Evidence breadth
- 92%
- Evidence coverage
- 62%
Market and catalogue signals · secondary, never the language Index rank
- Usage (OpenRouter popularity)
- 1.4
- Liquidity (providers × uptime)
- 95.8
- Open reach (HF downloads)
- —
- Surface (context / tools / modalities)
- 25.0
- Freshness
- 0.8
- · OpenRouter popularity #312
- · 1 live provider
- · Catalogue: context 8191, 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 031424.6
- Arena Coding · Release 031425.7
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 index40.6
limited · 56% metadata coverage
- Artifact reproducibility
- 0.0
- Access & legal clarity
- 30.3
- Deployability
- 80.0
- Evaluation provenance
- 52.7
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, 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
- 32.3
- OpenRouter weekly popularity
- #312 of 339
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
- #310 of 419
- Rating
- 1276.3
- 95% confidence interval
- 1272–1280
- Votes
- 89K
- Source published at
- 28 Oct 2026, 00:00 UTC
- Category
- overall
- Identity match confidence
- 99%
Market Gravity breakdown
- Usage55%
- 1.4
- Liquidity25%
- 95.8
- 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-4- Context window
- 8K 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
- Not supported: Structured output
- Supported: Response format
- Not supported: Moderated
Benchmark leaderboards featuring GPT-4
All leaderboardsGPT-4: common questions
How much does GPT-4 cost per 1M tokens?
GPT-4 is listed at $30.00 per 1M input tokens and $60.00 per 1M output tokens as of 6 November 2026. 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 $90.00 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-4?
GPT-4 has a published context window of 8K tokens (8,191). 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-4 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 API providers serve GPT-4?
One provider serves GPT-4 through OpenRouter as of 6 November 2026: Azure. Each provider's price, context limit, quantization and measured uptime are in the providers table above.
Which benchmarks has GPT-4 been evaluated on?
GPT-4 has published results on 2 public boards tracked by ModelCap as of 6 November 2026: Arena text 1288 (#299 of 419) and Arena coding 1330 (#294 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-4 released?
GPT-4 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-5.5. Rank and price movements since then are recorded on the site's changes feed.