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ModelCap

GPT-4.1

All-versions archive #128Arena #130API only

OpenAI·openai/gpt-4.1

GPT-4.1 is ModelCap archive rank #128 (Measured), from the ModelCap Index as of 22 Sept 2026, 02:49 UTC.

GPT-4.1 listed OpenRouter input price is $2.00 per 1M tokens and listed output price is $8.00 per 1M tokens, from OpenRouter listed prices as of 22 Sept 2026, 02:49 UTC.

GPT-4.1 has a published context limit of 1M tokens in the ModelCap catalogue as of 22 Sept 2026, 02:49 UTC.

GPT-4.1 has 3 published OpenRouter serving endpoints, from OpenRouter as of 22 Sept 2026, 02:49 UTC.

GPT-4.1 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
57.4#128
Measured · 65% support · score interval 52.6–62.2
Evidence as of 21 Sept 2026, 17:21 UTC
Market Gravity
44.1Decreased by 0.3
Secondary market signal

Superseded by GPT-5.5. It no longer holds a current-board position; its all-versions archive rank is #128.

Input
$2.00
per 1M tokens
Output
$8.00
per 1M tokens
Context
1M
tokens
Providers
3
endpoints
Gateway spend
latest · Vercel share

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
AzureCheapest$2.00$8.001M100.0%
OpenAI$2.00$8.001M100.0%
Azureswedencentral$2.20$8.801M

Other versions (6)

ModelCap Index · All-versions archive

Methodology
57.4
Measured · 3 public benchmark observations across 3 boards
All-versions archive
#128
Public rank basis
Measured (measured)
Index support
64.9% · strong
Index interval
52.6–62.2
Rank posterior
Not available
Top 5 / Top 10 probability
Not available / Not available
Posterior as of
Snapshot timestamp unavailable
Evidence as of
21 Sept 2026, 17:21 UTC
Identity binding
Exact catalogue product · openai/openai/gpt-4.1 · aggregates disclosed benchmark configurations · endpoint configuration not claimed
Index observations used
3
Qualified Index evidence point
57.4
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
57.4
Evidence status
confirmed · 87% mass
General preference
58.8
Coding
53.3
Agents & tools
Reasoning
18.1
Evidence breadth
95%
Evidence coverage
65%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
20.4
Liquidity (providers × uptime)
98.9
Open reach (HF downloads)
Surface (context / tools / modalities)
75.0
Freshness
13.5
  • · OpenRouter popularity #99
  • · 2 live providers
  • · Catalogue: context 1047576, tools, modalities Image/Text/File
  • · First seen 2025-04-14

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

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 index
48.4
partial · 56% metadata coverage
Not capability
Artifact reproducibility
0.0
Access & legal clarity
30.3
Deployability
90.0
Evaluation provenance
76.7

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.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
44.1
OpenRouter weekly popularity
#99 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

Status
Ranked
Source
LMArena
Official rank
#130 of 402
Rating
1414.5
95% confidence interval
1411–1418
Votes
50K
Source published at
13 Sept 2026, 00:00 UTC
Category
overall
Identity match confidence
99%

Market Gravity breakdown

Usage55%
20.4

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%
13.5

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

Specification

Context window
1M tokens
Max output
33K tokens
Inputs
Image, Text, File
Outputs
Text
Tokenizer
GPT
Cached input tokens
$0.50 / 1M
First seen on OpenRouter
14 Apr 2025
Knowledge cutoff
2024-06-30

Capabilities

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

Benchmark leaderboards featuring GPT-4.1

All leaderboards
Public benchmark boards on which GPT-4.1 has a published result
LeaderboardScoreSource rankConfigurationPublished
Arena coding leaderboardArena (LMArena)14571450–1463#135 of 397Default13 Sept 2026
ARC-AGI-2 leaderboardARC Prize Foundation0.4%#193 of 214Default21 Sept 2026
SWE-bench leaderboardSWE-bench (Princeton / SWE-agent team)39.6%#38 of 47Default26 Jul 2025
BFCL V4 function-calling leaderboardUC Berkeley (Gorilla)54.0#17 of 83Function calling12 Apr 2026
τ²-Bench Telecom (Artificial Analysis run)Artificial Analysis47.1%#213 of 436tau2:telecom:dual-control:pass-at-1:3-repeats:source-model="GPT-4.1":reasoning=false5 Sept 2026
Humanity's Last Exam (Artificial Analysis run)Artificial Analysis4.2%#513 of 615hle:may-2025:text-only-2158:no-tools:pass-at-1:source-model="GPT-4.1":reasoning=false5 Sept 2026

GPT-4.1: common questions

How does GPT-4.1 rank among AI models?

GPT-4.1 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-4.1 cost per 1M tokens?

GPT-4.1 is listed at $2.00 per 1M input tokens and $8.00 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-4.1?

GPT-4.1 has a published context window of 1M tokens (1,047,576) and a maximum output of 33K tokens. Individual providers can serve less than the published maximum; the providers table lists each endpoint's own limit.

Is GPT-4.1 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-4.1?

2 providers serve GPT-4.1 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.

Which benchmarks has GPT-4.1 been evaluated on?

GPT-4.1 has published results on 6 public boards tracked by ModelCap as of 22 September 2026: Arena coding 1457 (#135 of 397), ARC-AGI-2 0.4% (#193 of 214), SWE-bench 39.6% (#38 of 47), BFCL V4 54.0 (#17 of 83) and AA τ²-Bench Telecom 47.1% (#213 of 436) and more. Each board page ranks every tracked model on that benchmark; the ModelCap Index combines them with published uncertainty.

When was GPT-4.1 released?

GPT-4.1 first appeared in the catalogue on 14 Apr 2025, with a published knowledge cutoff of 2024-06-30. It has since been superseded by GPT-5.5. Rank and price movements since then are recorded on the site's changes feed.