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Data

Data as of October 14, 2026 · How the score is built

EstablishedProprietaryNon-Reasoning

Released Feb 27, 2025128K contextOpenAI GPT-4.5 Preview model page

GPT-4.5

Decision readingGPT-4.5 is tracked, but not publicly ranked yet. The profile exposes 6 sourced benchmark rows and leaves unsupported fields blank until a published record exists.

Released Feb 27, 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

Unranked

field median 49.8Not eligible for a public rank

Price

$75input / $150 output

input median $0.80cached $37.50 · blended $112.50

Speed

Not measured

field median 90 tok/sTime to first token not measured

Context

128Ktokens

field median 256,000Maximum output length is tracked separately

Strongest published evidence

Published rows are visible, but no category has enough eligible evidence for a comparative rank.

Validate before choosing

6 published rows leave some tracked benchmark slots empty. Independent runtime speed has not been measured.

Source-linked · 6 displayable benchmark rows

Follow model changes

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%0 benchmarksNot measured
Not measured
CodingWeight 20%1 benchmarkVerified
Score pending
ReasoningWeight 17%1 benchmarkVerified
Score pending
MultimodalWeight 12%0 benchmarksNot measured
Not measured
KnowledgeRank Not rankedWeight 12%3 benchmarksVerified
72.3
MultilingualWeight 7%1 benchmarkVerified
Score pending
Inst. FollowingWeight 5%0 benchmarksNot measured
Not measured
MathWeight 5%0 benchmarksNot measured
Not measured

6 of 670 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. AgenticNot measured
  2. Coding1/1 verified
  3. Reasoning1/1 verified
  4. MultimodalNot measured
  5. Knowledge3/3 verified
  6. Multilingual1/1 verified
  7. Inst. FollowingNot measured
  8. MathNot measured
Verified sourceProvisionalNot measured

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
HumanEvalEvaluating Large Language Models Trained on CodeScore88.6%Versus best verified row

Best verified: o4-mini · 97.3%

Gap8.7 behindWeightDisplay only
Reasoning1 row
Reasoning benchmark values, best verified comparison, weight, and source status
DROPDiscrete Reasoning Over ParagraphsScore83.4%Versus best verified row

Best verified: o1-mini · 83.9%

Gap0.5 behindWeightDisplay only
Knowledge3 rows
Knowledge benchmark values, best verified comparison, weight, and source status
GPQAGraduate-Level Google-Proof Q&AScore69.5%Versus best verified row

Best verified: GPT-6 Astra · 96%

Gap26.5 behindWeight3% ref. weight
MMLUMassive Multitask Language UnderstandingScore90.8%Versus best verified row

Best verified: o1 · 91.8%

Gap1 behindWeightDisplay only
SimpleQAMeasuring Short-Form Factuality in Large Language ModelsScore62.5%Versus best verified row

Best verified: GPT-4.5 · 62.5%

GapBest verifiedWeightDisplay only
Multilingual1 row
Multilingual benchmark values, best verified comparison, weight, and source status
MGSMMultilingual Grade School MathScore86.9%Versus best verified row

Best verified: o4-mini · 93.7%

Gap6.8 behindWeightDisplay only

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

All 6 rows

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. Feb 27, 2025 · you are here

    GPT-4.5

    Not publicly ranked · $75 / $150

Base entry

Radar

GPT-4.5 release history

Full release history

Radar confirmed these at the source. Use GPT-4.5 in your work? Explore Radar to follow supported changes and choose your alerts.

Radar

Spec sheet

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

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
Published at $37.50 per million cached input tokensOpenAI GPT-4.5 Preview model documentation
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.

We track GPT-4.5, but the public leaderboard excludes this profile until enough non-generated benchmark coverage is available. Only published rows appear above.

GPT-4.5 is a proprietary model with a 128K context window. No explicit reasoning mode is documented in this profile.

Official exact values from OpenAI's simple-evals results table, row gpt-4.5-preview-2025-02-27. BenchLM stores mmlu, gpqa, simpleQa, humaneval, mgsm, drop. Each value's source and evaluation setting is recorded in row-level source verification. Kept out of rankings because the published results cover few of the benchmarks BenchLM ranks on.

6 of 670 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.

Last updated October 14, 2026. Runtime fields remain blank until a sourced snapshot exists.

Questions

How does GPT-4.5 perform overall in AI benchmarks?

GPT-4.5 has 6 source-displayable benchmark rows, but it does not qualify for a public overall rank. The available rows remain visible by category without being converted into a site-wide score. Missing evidence stays blank instead of being estimated from an earlier model.

Is GPT-4.5 good for knowledge and understanding?

GPT-4.5 has source-displayable benchmark coverage for knowledge and understanding, 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-4.5 good for coding and programming?

GPT-4.5 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-4.5 good for reasoning and logic?

GPT-4.5 has source-displayable benchmark coverage for reasoning and logic, 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-4.5 good for multilingual tasks?

GPT-4.5 has source-displayable benchmark coverage for multilingual 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.

Does GPT-4.5 have full benchmark coverage on BenchLM?

No. GPT-4.5 currently has 6 source-displayable rows across 670 tracked benchmark slots. 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-4.5?

GPT-4.5 has a documented context window of 128K. That figure is the maximum combined prompt and retained-conversation space reported for this exact model; it is not the maximum output length. The profile keeps output limits separate because providers often publish those limits independently.

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Compare GPT-4.5 with every tracked model931 comparisons