GPT-5.4 Nano

OpenAIKey gpt-5.4-nanoAlso reported as openai/gpt-5.4-nano, openrouter/openai/gpt-5.4-nano

No usage of GPT-5.4 Nano in the last 7 days. Showing all time instead.

Rank
#385
by active users
Active users
20
All time
Adoption
0.8%
of 2,457 accounts
Tokens
56.3M
cache included
Est. cost
$5
at public list prices
First seen
Mar 18, 2026
in any submission

Oct 10, 2024 – Nov 12, 2026 (UTC)2,457 accounts100% of tokens from an identified modelData through Nov 12, 2026, 08:00 UTCHow we count

Daily active users

Distinct accounts that used this model on each UTC day.

0 active users on Nov 12, 2026

Daily active users for GPT-5.4 Nano, Oct 10, 2024 to Nov 12, 2026. Peak 3. Use the left and right arrow keys to read each day.320
Show daily values
Daily active users and tokens for GPT-5.4 Nano
Date (UTC)Active usersTokens
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Mar 18, 202618.6M
Mar 19, 2026122.2M
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Apr 5, 2026135.5K
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Apr 10, 202616.3M
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Apr 23, 20262478K
Apr 24, 202612.5M
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Apr 30, 202622.4M
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May 15, 202611.4M
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Jun 3, 202611.8M
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Jun 5, 2026138.2K
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Jun 18, 202615K
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Aug 21, 20263150K
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Sep 1, 2026345.1K
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Oct 24, 20262369K
Oct 25, 2026171.3K
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Oct 28, 2026111K
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Token mix

How the 56.3M tokens split. Cache reads are usually most of an agent's tokens and are priced far below input.

  • Input14%
  • Output2.5%
  • Cache read82%
  • Cache write0%
  • Reasoning1.8%

Agents that carry GPT-5.4 Nano

Each agent's share of this model's tokens, and how many accounts used the model through it.

  1. OpenCode92% of this model's tokens8active users
  2. Junie5.0% of this model's tokens8active users
  3. Pi2.6% of this model's tokens4active users
  4. Hermes Agent<0.1% of this model's tokens1active users

Benchmarks

The best result for GPT-5.4 Nano in each benchmark Tokscale tracks. Each benchmark has its own unit, run conditions and source, so compare a score only with other models on the same benchmark. Rank is among the models Tokscale matched in that benchmark.

All benchmarks
  • Epoch Capabilities IndexOverall · Epoch AI
    146.4
    Rank #85 of 158 matched modelsNo conditions reportedModel released Mar 17, 2026Source: epoch.ai (opens in a new tab)
  • GPQA DiamondReasoning · Epoch AI
    78.5%
    Rank #94 of 160 matched modelsHighRun date Apr 14, 2026Source: epoch.ai (opens in a new tab)

    Near its ceiling: the top score is 96.5%, and Epoch AI estimates the reachable maximum at 97%. Differences between top models are small.

    Show 2 more results with other run conditionsHide the other results
    • Listed as gpt-5.4-nano-2026-03-17_low
      72.2%
      LowRun date Aug 7, 2026Source: epoch.ai (opens in a new tab)
    • Listed as gpt-5.4-nano-2026-03-17_none
      55.6%
      No reasoningRun date Aug 7, 2026Source: epoch.ai (opens in a new tab)
  • FrontierMath Tiers 1–3 (v2)Reasoning · Epoch AI
    44.9%
    Rank #61 of 90 matched modelsHighRun date Jun 12, 2026Source: epoch.ai (opens in a new tab)

    Near its ceiling: the top score is 95.1%, and Epoch AI estimates the reachable maximum at 95%. Differences between top models are small.

    Show 2 more results with other run conditionsHide the other results
    • Listed as gpt-5.4-nano-2026-03-17_low
      20.4%
      LowRun date Aug 28, 2026Source: epoch.ai (opens in a new tab)
    • Listed as gpt-5.4-nano-2026-03-17_none
      4.6%
      No reasoningRun date Aug 28, 2026Source: epoch.ai (opens in a new tab)
  • SimpleQA VerifiedKnowledge · Epoch AI
    11.7%
    Rank #82 of 86 matched modelsHighRun date Aug 27, 2026Source: epoch.ai (opens in a new tab)

Not evaluated: Humanity's Last Exam, Terminal-Bench 4.1, CursorBench, DeepSWE, FrontierSWE, Agent Arena, WebDev Arena. A missing result is not a score of zero.

Pricing

List prices from models.dev in US dollars per 1M tokens, retrieved Nov 12, 2026. OpenAI is the lab's own API and the reference price for the estimates below.

Price at real agent usageEstimate at list prices

What 1M tokens cost at the reference list price when they split into input, output and cache the way Tokscale users' agents used them. It is not what anyone paid.

At this model's mix
$0.10
Est. per 1M tokens
82% cache reads
At the community mix
$0.04
Est. per 1M tokens
93% cache reads
3:1 input/output blend
$0.46
Per 1M tokens at list prices
No cache

Cache reads were 82% of GPT-5.4 Nano tokens across all time and 93% of all tokens. The 3:1 blend, (3 × input + output) ÷ 4, is the usual comparison and ignores cache.

Assumptions

  • OpenAI list prices per 1M tokens: input $0.20, output $1.25, cache read $0.02.
  • This model's mix is its own input, output, cache and reasoning tokens across all time.
  • The community mix is the tokens of every identified model across all time.
  • This is an estimate at list prices, not what anyone paid.
  • Reasoning tokens are priced as output.
  • Long-context tiers, batch pricing and discounts are not applied.
  • Token mixes come from public Tokscale submissions. Hidden accounts are excluded.
  • No cache-write price is listed, so cache writes are priced as input.

List prices by provider

  • OpenAIReferencegpt-5.4-nano
    $0.20 input per 1M tokens$1.25 output per 1M tokens$0.02 cache read per 1M tokensCache write not listed400K tokens of context
  • Azuregpt-5.4-nano
    $0.20 input per 1M tokens$1.25 output per 1M tokens$0.02 cache read per 1M tokensCache write not listed400K tokens of context
  • OpenRouteropenai/gpt-5.4-nano
    $0.20 input per 1M tokens$1.25 output per 1M tokens$0.02 cache read per 1M tokensCache write not listed400K tokens of context
  • Vercel AI Gatewayopenai/gpt-5.4-nano
    $0.20 input per 1M tokens$1.25 output per 1M tokens$0.02 cache read per 1M tokensCache write not listed400K tokens of context

Specs

From models.dev (MIT), retrieved Nov 12, 2026, as the lab or the first listed provider reports them. A dash means models.dev does not list the value.

Context window
400K tokens
Max output
128K tokens
Input
Text, Image
Output
Text
Knowledge cutoff
Aug 31, 2025
Release date
Mar 17, 2026
Open weights
No
Reasoning
Yes
Tool calling
Yes

Top public profiles

Public profiles that used GPT-5.4 Nano most in this period, by tokens. Hidden accounts are never listed.

  1. 1siddicky@siddicky30.8Mtokens$4est. cost2active days$4 est. cost · 2 active days
  2. 2Andre Dalwin@AndreDalwin9.6Mtokens<$1est. cost2active days<$1 est. cost · 2 active days
  3. 3locryns@locryns6.6Mtokens<$1est. cost9active days<$1 est. cost · 9 active days
  4. 4Nico Schult@ZH-NICO4.3Mtokens<$1est. cost2active days<$1 est. cost · 2 active days
  5. 5zero@cau1k1.4Mtokens<$1est. cost1active days<$1 est. cost · 1 active days
  6. 6James W. Lane III@jameswlane950Ktokens<$1est. cost5active days<$1 est. cost · 5 active days
  7. 7Daniel Espendiller@Haehnchen890Ktokens<$1est. cost15active days<$1 est. cost · 15 active days
  8. 8Tan Jeong Shiun@jeshtan538Ktokens<$1est. cost13active days<$1 est. cost · 13 active days
  9. 9Davy@thedavidweng346Ktokens<$1est. cost1active days<$1 est. cost · 1 active days
  10. 10Julio Rahman@JulioRahman249Ktokens<$1est. cost3active days<$1 est. cost · 3 active days

More from OpenAI

Other OpenAI models in the same period, by active users.

  1. GPT-5.565% adoption1,585active users
  2. GPT-5.462% adoption1,528active users
  3. GPT-5.3 Codex54% adoption1,334active users
  4. GPT-5.6 Sol51% adoption1,260active users
  5. GPT-5.6 Terra45% adoption1,105active users
  6. GPT-5.6 Luna44% adoption1,078active users
All models

Sources and attribution

Each score keeps its own source, unit and run conditions. Tokscale does not combine benchmarks into one score, and a missing score means the model was not evaluated, not that it scored zero.

  • Epoch AIEpoch Capabilities Index, Epoch's own runs and the external results it collects.CC BY 4.0 · Retrieved Nov 12, 2026 · Data through Nov 9, 2026Epoch AI, ‘Capabilities & benchmarking’. Published online at epoch.ai. Retrieved from https://epoch.ai/benchmarks.
  • models.devSpecs and list prices per provider.MIT · Retrieved Nov 12, 2026models.dev, an open catalog of AI models (github.com/anomalyco/models.dev).
  • TokscaleActive users, tokens and token mix from public Tokscale submissions. Hidden accounts are excluded.How we count