Capability
39.7/100
field median 58.1
#184 of 232 ranked models
Superseded.OpenAI has newer models in this line:GPT-5.4 nano
GPT-5 nano
Released Aug 7, 2025 — see all recent releases
Decision reading
GPT-5 nano scores 39.7 out of 100 and ranks #184 of 232. This profile shows 4 source-displayable benchmark rows. API pricing is $0.05 input and $0.4 output per million tokens.
Data as of September 4, 2026 · How the score is built
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Strongest published evidence
Published rows are visible, but no category has enough eligible evidence for a comparative rank.
Validate before choosing
4 published rows leave some tracked benchmark slots empty.
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
$0.050input / $0.40 output
input median $1
blended $0.23
Speed
137tok/s
field median 92 tok/s
First token 83.3 s
Context
400Ktokens
field median 256,000
Reported for this model; direct source link not stored
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-5 nano · 39.7 score · $0.23 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
- Knowledge0/1 verified
- Math2/3 verified
- MultilingualNot measured
- MultimodalNot measured
- Inst. FollowingNot measured
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
- 400K
- 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
- Superseded
- 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 Not rankedWeight 12%1 benchmarkReported | 47.2 | Not ranked | Not available | 12% | 1 benchmark | Reported |
| MathRank Not rankedWeight 5%3 benchmarksMixed sources | 6.2 | Not ranked | Not available | 5% | 3 benchmarks | Mixed sources |
| 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. FollowingWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
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.
Knowledge1 row
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| GPQAGraduate-Level Google-Proof Q&A | Score71.2% | Versus best verified row Best verified: GPT-6 Astra · 96% | Gap24.8 behind | WeightWeighted 7% | Reported |
Math3 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| FrontierMath v2 (Tiers 1-3)FrontierMath v2 Tiers 1-3 | Score8.276% | Versus best verified row Best verified: GPT-5.6 Sol · 89.000% | Gap80.7 behind | WeightWeighted 30% | Benchmark exact |
| FrontierMath v2 (Tier 4)FrontierMath v2 Tier 4 | Score0.000% | Versus best verified row Best verified: GPT-6 Astra · 97.600% | Gap97.6 behind | WeightWeighted 10% | Benchmark exact |
| AIME 2025American Invitational Mathematics Examination 2025 | Score85.2% | Versus best verified row Best verified: MAI-Thinking-1 · 97% | Gap11.8 behind | WeightDisplay only | Reported |
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.
Aug 7, 2025 · you are here
GPT-5 nanoScore 39.7 · $0.05 / $0.4
Mar 17, 2026
GPT-5.4 nanoScore 62.2 · $0.2 / $1.25
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-5 nano ranks #184 of 232 on the public leaderboard with a score of 39.72/100. It does not yet have enough sourced coverage for a verified position.
GPT-5 nano is a proprietary model with a 400K context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.
GPT-5 nano sits in the GPT-5 family with GPT-5 (high), GPT-5 (medium), GPT-5 mini. 4 of 422 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Frequently asked questions
How does GPT-5 nano perform overall in AI benchmarks?
GPT-5 nano ranks #184 out of 232 models on the public BenchAlign leaderboard, with a score of 39.72/100. 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-5 nano good for knowledge and understanding?
GPT-5 nano 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-5 nano good for mathematics?
GPT-5 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.
Which sibling models are related to GPT-5 nano?
GPT-5 nano belongs to the GPT-5 family. Related tracked variants include GPT-5 (high), GPT-5 (medium), GPT-5 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-5 nano have full benchmark coverage on BenchLM?
No. GPT-5 nano currently has 0 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-5 nano?
GPT-5 nano has a reported context window of 400K 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-5 nano with every tracked model410 comparisons
Last updated September 4, 2026. Runtime fields remain blank until a sourced snapshot exists.
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