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Data

Data as of October 20, 2026 · How the score is built

EstablishedProprietaryNon-Reasoning

Released Apr 14, 20251M context

GPT-4.1

Decision readingGPT-4.1 scores 37.6 out of 100 and ranks #151 of 227. This profile shows 7 source-displayable benchmark rows; its strongest eligible category is Multilingual at #14. API pricing is $2 input and $8 output per million tokens.

Released Apr 14, 2025 — see all recent releases

Decision snapshot

Each value carries a field reference instead of floating alone. Markers compare this model with the current ranked and priced catalog; they are not absolute quality thresholds.

Capability

37.6/100

field median 49.8#151 of 227 ranked models

Public

#151of 227

Verified #72 of 87

Price

$2input / $8 output

input median $0.72blended $5

Speed

155tok/s

field median 93.5 tok/sFirst token 0.89 s

Context

1Mtokens

field median 256,000Reported for this model; direct source link not stored

Strongest published evidence

Multilingual ranks #14. A well-rounded choice across a range of tasks.

Validate before choosing

7 published rows leave some tracked benchmark slots empty. Knowledge is its lowest eligible category at #135.

Source-linked · 7 displayable benchmark rows

Category score record

Scores and ranks appear only where published evidence can be displayed. The table keeps the score, weight, cohort, and evidence state together.

Category scores, ranks, weighting, benchmark coverage, and evidence status
CategoryScore
AgenticWeight 22%1 benchmarkVerified
Score pending
CodingRank Not rankedWeight 20%1 benchmarkVerified
34.8
ReasoningWeight 17%0 benchmarksNot measured
Not measured
MultimodalWeight 12%0 benchmarksNot measured
Not measured
KnowledgeRank #135 of 187Percentile 28thWeight 12%2 benchmarksVerified
35.6
MultilingualRank #14 of 17Percentile 19thWeight 7%1 benchmarkVerified
61.5
Inst. FollowingRank #93 of 149Percentile 38thWeight 5%1 benchmarkVerified
50.3
MathRank Not rankedWeight 5%1 benchmarkVerified
27.0

7 of 726 tracked benchmark slots have displayable evidence · bars run 0–100

Coverage details

How much of this is verified

Coverage is split by category so a strong number never hides a thin evidence base. Verified means the row is tied to a published source; provisional rows remain visible but separate.

  1. Agentic1/1 verified
  2. Coding1/1 verified
  3. ReasoningNot measured
  4. MultimodalNot measured
  5. Knowledge2/2 verified
  6. Multilingual1/1 verified
  7. Inst. Following1/1 verified
  8. Math1/1 verified
Verified sourceProvisionalNot measured

Capability shape

Each axis shows percentile within that category’s eligible cohort. The comparison outline is the median of the six nearest public-score peers; a collapsed vertex means the category is not rank-eligible.

GPT-4.1 category percentile values

  • AgenticNot eligible
  • CodingNot eligible
  • ReasoningNot eligible
  • MultimodalNot eligible
  • Knowledge28th percentile
  • Multilingual19th percentile
  • Instruction following38th percentile
  • MathNot eligible

The dashed outline is median of 6 nearest peers.

Eligible category ranks

  1. AgenticNot ranked
  2. CodingNot ranked
  3. ReasoningNot ranked
  4. MultimodalNot ranked
  5. Knowledge#135/187
  6. Multilingual#14/17
  7. Inst. Following#93/149
  8. MathNot ranked
Top decileTop quartileMid-fieldNot eligible

Benchmark ledger

Coding opens by default. The marker compares each value with the best source-verified result in the catalog; provisional leaders do not set the reference. Expand the remaining categories for every published row.

Coding1 row
Coding benchmark values, best verified comparison, weight, and source status
SWE-bench VerifiedSoftware Engineering Benchmark VerifiedScore54.6%Versus best verified row

Best verified: Claude Opus 5 · 96%

Gap41.4 behindWeightDisplay only
Agentic1 row
Agentic benchmark values, best verified comparison, weight, and source status
Gert LabsGert Labs Composite Game BenchmarkScore25.65%Versus best verified row

Best verified: Claude Opus 4.8 · 72.97%

Gap47.3 behindWeightDisplay only
Benchmark exact
Knowledge2 rows
Knowledge benchmark values, best verified comparison, weight, and source status
GPQAGraduate-Level Google-Proof Q&AScore66.3%Versus best verified row

Best verified: GPT-6 Astra · 96%

Gap29.7 behindWeight3% ref. weight
MMLUMassive Multitask Language UnderstandingScore90.2%Versus best verified row

Best verified: o1 · 91.8%

Gap1.6 behindWeightDisplay only
Multilingual1 row
Multilingual benchmark values, best verified comparison, weight, and source status
MMLU-ProXScore72.7%Versus best verified row

Best verified: Qwen3.7 Max · 87%

Gap14.3 behindWeightWeighted 100%
Inst. Following1 row
Inst. Following benchmark values, best verified comparison, weight, and source status
IFEvalInstruction-Following EvalScore87.4%Versus best verified row

Best verified: LFM2.5-24B-A2B · 96.8%

Gap9.3 behindWeightDisplay only
Math1 row
Math benchmark values, best verified comparison, weight, and source status
FrontierMath v2 (Tiers 1-3)FrontierMath v2 Tiers 1-3Score5.965%Versus best verified row

Best verified: GPT-6 Astra · 93.684%

Gap87.7 behindWeightWeighted 30%

Bars run 0–100; the dark tick marks the best source-verified value

All 7 rows

What it costs to get this score

Published API price against the public score. The x-axis uses a log scale; the dashed path marks models that are not beaten by a cheaper, higher-scoring option. Price uses average of published input and output rates.

Current modelExplore all models

GPT-4.1 · 37.5 score · $5 blended per million tokens

The chart opens on the current model. Scroll horizontally to inspect the full price axis.

30405060708090100$0.10$0.50$1$5$10$25$50$100↘ frontierGPT-4.1

Horizontal: blended price per million tokens, log scale · Vertical: public score

Published price history

This chart appears only when at least two dated first-party price records exist for the exact model. It shows rate changes, not an inferred cost trend.

05102025-042026-04Output priceInput price

2 dated first-party price records. The newest record lists $8 per million tokens.

Lineage

The sequence follows explicit supersedes links. Each score is estimated for that model; a relative can inform a sparse estimate but never sets a floor, so a newer release can score below an earlier one. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.

  1. May 13, 2024

    GPT-4o

    Score 29.9 · $2.5 / $10

  2. Apr 14, 2025 · you are here

    GPT-4.1

    Score 37.5 · $2 / $8

Spec sheet

Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.

API model ID
Not published
Context window
1M
Maximum output
Not sourced yet
Knowledge cutoff
Not sourced yet
Input modalities
Not sourced yet
Output modalities
Not sourced yet
Parameters
Not disclosed by the provider
Availability
Not sourced yet
Cloud regions
Not tracked yet
Lifecycle
Established
API capabilities
Tool calling, structured outputs, and batch support are not tracked yet
Prompt caching
Not documented in the pricing record
Self-host
Weights are not published
Rate limits
Not tracked yet

How to read this profile

The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.

GPT-4.1 ranks #151 of 227 on the public leaderboard with a score of 37.55/100. Its source-verified position is #72 of 87.

GPT-4.1 is a proprietary model with a 1M context window. No explicit reasoning mode is documented in this profile.

GPT-4.1 sits in the GPT-4.1 family with GPT-4.1 mini, GPT-4.1 nano. Its explicit predecessor is GPT-4o. 7 of 726 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.

Its strongest eligible category is Multilingual at #14, while its lowest eligible position is Knowledge at #135. a well-rounded choice across a range of tasks.

Last updated October 20, 2026. Runtime fields remain blank until a sourced snapshot exists.

Deployment options

Self-host and provider-specific paths stay separate from benchmark evidence so operating constraints are visible before a score becomes the whole decision.

Where to run GPT-4.1 by API

OpenRouter is the one host we track that publishes a per-token price for it. Prices read from each host’s own pages on October 20, 2026.

Inference hosts for GPT-4.1 with input, output and cached-input prices per million tokens.
HostInput /1MOutput /1MCached /1MContext
OpenRouter$2.00$8.00$0.501.05M
Compare inference hosts

Questions

How does GPT-4.1 perform overall in AI benchmarks?

GPT-4.1 ranks #151 out of 227 models on the public BenchAlign leaderboard, with a score of 37.55/100. Its evidence status is Supported, and this profile shows 7 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.

Is GPT-4.1 good for knowledge and understanding?

GPT-4.1 ranks #135 out of 187 eligible models for knowledge and understanding, with a public category score of 35.6/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.

Is GPT-4.1 good for coding and programming?

GPT-4.1 has source-displayable benchmark coverage for coding and programming, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.

Is GPT-4.1 good for mathematics?

GPT-4.1 has source-displayable benchmark coverage for mathematics, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.

Is GPT-4.1 good for agentic tool use and computer tasks?

GPT-4.1 has source-displayable benchmark coverage for agentic tool use and computer tasks, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.

Is GPT-4.1 good for instruction following?

GPT-4.1 ranks #93 out of 149 eligible models for instruction following, with a public category score of 50.3/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.

Is GPT-4.1 good for multilingual tasks?

GPT-4.1 ranks #14 out of 17 eligible models for multilingual tasks, with a public category score of 61.5/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.

Which sibling models are related to GPT-4.1?

GPT-4.1 belongs to the GPT-4.1 family. Related tracked variants include GPT-4.1 mini, GPT-4.1 nano. A sibling link indicates shared lineage or a documented configuration relationship; it does not mean the variants have identical pricing, context limits, benchmark evidence, or deployment behavior. Compare before switching.

Does GPT-4.1 have full benchmark coverage on BenchLM?

No. GPT-4.1 currently has 19 source-displayable rows. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.

What is the context window size of GPT-4.1?

GPT-4.1 has a reported context window of 1M in the exact-model catalog record. The value stays visible, but the profile marks its source link as unavailable instead of presenting it as directly documented. Maximum output length remains separate because providers often publish a different limit.

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Compare GPT-4.1 with every tracked model971 comparisons