Capability
28.4/100
field median 58.1
#214 of 232 ranked models
GPT-4.1 nano
Released Apr 14, 2025 — see all recent releases
Decision reading
GPT-4.1 nano scores 28.4 out of 100 and ranks #214 of 232. This profile shows 4 source-displayable benchmark rows; its strongest eligible category is Instruction Following at #106. API pricing is $0.1 input and $0.4 output per million tokens.
Data as of September 4, 2026 · How the score is built
Share or export
Strongest published evidence
Instruction Following ranks #106. A well-rounded choice across a range of tasks.
Validate before choosing
4 published rows leave some tracked benchmark slots empty. Knowledge is its lowest eligible category at #175.
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.
Price
$0.10input / $0.40 output
input median $1
blended $0.25
Speed
181tok/s
field median 92 tok/s
First token 0.63 s
Context
1Mtokens
field median 256,000
Reported for this model; direct source link not stored
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 nano category percentile values
- AgenticNot eligible
- CodingNot eligible
- ReasoningNot eligible
- Knowledge3rd percentile
- MathNot eligible
- MultilingualNot eligible
- MultimodalNot eligible
- Instruction following12th percentile
The dashed outline is median of 6 nearest peers.
Eligible category ranks
- AgenticNot ranked
- CodingNot ranked
- ReasoningNot ranked
- Knowledge#175/181
- MathNot ranked
- MultilingualNot ranked
- MultimodalNot ranked
- Inst. Following#106/120
Top decileTop quartileMid-fieldNot eligible
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.
The chart opens on the current model. Scroll horizontally to inspect the full price axis.
Current modelGPT-4.1 nano · 28.4 score · $0.25 blended per million tokens
Horizontal: blended price per million tokens, log scale · Vertical: public score
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.
- AgenticNot measured
- CodingNot measured
- ReasoningNot measured
- Knowledge2/2 verified
- Math1/1 verified
- MultilingualNot measured
- MultimodalNot measured
- Inst. Following1/1 verified
Verified sourceProvisionalNot measured
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
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 | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticWeight 22%0 benchmarksNot measured | Not measured | Not ranked | Not available | 22% | 0 benchmarks | Not measured |
| CodingWeight 20%0 benchmarksNot measured | Not measured | Not ranked | Not available | 20% | 0 benchmarks | Not measured |
| ReasoningWeight 17%0 benchmarksNot measured | Not measured | Not ranked | Not available | 17% | 0 benchmarks | Not measured |
| KnowledgeRank #175 of 181Percentile 3rdWeight 12%2 benchmarksVerified | 30.2 | #175 of 181 | 3rd | 12% | 2 benchmarks | Verified |
| MathRank Not rankedWeight 5%1 benchmarkVerified | 25.6 | Not ranked | Not available | 5% | 1 benchmark | Verified |
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | Not ranked | Not available | 7% | 0 benchmarks | Not measured |
| MultimodalWeight 12%0 benchmarksNot measured | Not measured | Not ranked | Not available | 12% | 0 benchmarks | Not measured |
| Inst. FollowingRank #106 of 120Percentile 12thWeight 5%1 benchmarkVerified | 36.0 | #106 of 120 | 12th | 5% | 1 benchmark | Verified |
Benchmark ledger
Knowledge 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.
Knowledge2 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| GPQAGraduate-Level Google-Proof Q&A | Score50.3% | Versus best verified row Best verified: GPT-6 Astra · 96% | Gap45.7 behind | WeightWeighted 7% | Provider exact |
| MMLUMassive Multitask Language Understanding | Score80.1% | Versus best verified row Best verified: o1 · 91.8% | Gap11.7 behind | WeightDisplay only | Provider exact |
Math1 row
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| FrontierMath v2 (Tiers 1-3)FrontierMath v2 Tiers 1-3 | Score1.034% | Versus best verified row Best verified: GPT-5.6 Sol · 89.000% | Gap88 behind | WeightWeighted 30% | Benchmark exact |
Inst. Following1 row
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| IFEvalInstruction-Following Eval | Score83.2% | Versus best verified row Best verified: Qwen3.5-27B · 95% | Gap11.8 behind | WeightDisplay only | Provider exact |
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.
2 dated first-party price records. The newest record lists $0.4 per million tokens.
Lineage
The sequence follows explicit supersedes links. A successor's displayed score stays at least 0.1 points above its predecessor; raw benchmark rows do not move. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
Apr 14, 2025 · you are here
GPT-4.1 nanoScore 28.4 · $0.1 / $0.4
Nano
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 nano ranks #214 of 232 on the public leaderboard with a score of 28.43/100. It does not yet have enough sourced coverage for a verified position.
GPT-4.1 nano is a proprietary model with a 1M context window. No explicit reasoning mode is documented in this profile.
GPT-4.1 nano sits in the GPT-4.1 family with GPT-4.1, GPT-4.1 mini. 4 of 422 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Its strongest eligible category is Instruction Following at #106, while its lowest eligible position is Knowledge at #175. a well-rounded choice across a range of tasks.
Radar
Full release historyGPT-4.1 nano release history
GPT-4.1 family released
OpenAI · Model release
Source confirmed
Radar confirmed these at the source. Already tracking GPT-4.1 nano? See the free Radar Brief for what changes next.
Frequently asked questions
How does GPT-4.1 nano perform overall in AI benchmarks?
GPT-4.1 nano ranks #214 out of 232 models on the public BenchAlign leaderboard, with a score of 28.43/100. Its evidence status is Estimated, and this profile shows 4 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 nano good for knowledge and understanding?
GPT-4.1 nano ranks #175 out of 181 eligible models for knowledge and understanding, with a public category score of 30.2/100. 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 nano good for mathematics?
GPT-4.1 nano 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 nano good for instruction following?
GPT-4.1 nano ranks #106 out of 120 eligible models for instruction following, with a public category score of 36/100. 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 nano?
GPT-4.1 nano belongs to the GPT-4.1 family. Related tracked variants include GPT-4.1, GPT-4.1 mini. 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 nano have full benchmark coverage on BenchLM?
No. GPT-4.1 nano currently has 21 source-displayable rows across 422 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-4.1 nano?
GPT-4.1 nano 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.
Compare GPT-4.1 nano with every tracked model410 comparisons
Last updated September 4, 2026. Runtime fields remain blank until a sourced snapshot exists.
Watch GPT-4.1 nano in the weekly brief
Get one weekly email when material rank, price, availability, or benchmark evidence changes are worth revisiting.
Read a sample issueJoin 2,000+ readers.