GPT-5 Nano

OpenAIKey gpt-5-nanoAlso reported as openai/gpt-5-nano, gpt-5 nano

No usage of GPT-5 Nano in the last 30 days. Showing all time instead.

Rank
#63
by active users
Active users
258
All time
Adoption
10%
of 2,466 accounts
Tokens
4.3B
cache included
Est. cost
$145
at public list prices
First seen
Aug 10, 2025
in any submission

Oct 10, 2024 – Nov 13, 2026 (UTC)2,466 accounts100% of tokens from an identified modelData through Nov 13, 2026, 07:09 UTCHow we count

Daily active users

Distinct accounts that used this model on each UTC day.

0 active users on Nov 13, 2026

Daily active users for GPT-5 Nano, Oct 10, 2024 to Nov 13, 2026. Peak 22. Use the left and right arrow keys to read each day.25130
Show daily values
Daily active users and tokens for GPT-5 Nano
Date (UTC)Active usersTokens
Oct 10, 202400
Oct 11, 202400
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Jan 1, 202500
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Jul 1, 202500
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Aug 10, 20251150K
Aug 11, 20251237K
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Sep 17, 20251866K
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Oct 27, 20251213K
Oct 28, 202500
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Oct 31, 2025199.5K
Nov 1, 202500
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Nov 14, 2025178.1K
Nov 15, 202511.6M
Nov 16, 202500
Nov 17, 202531.8M
Nov 18, 20252264K
Nov 19, 20252378K
Nov 20, 202500
Nov 21, 2025120K
Nov 22, 202500
Nov 23, 202500
Nov 24, 2025113.2K
Nov 25, 202500
Nov 26, 20251156K
Nov 27, 202500
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Nov 29, 20251155K
Nov 30, 202500
Dec 1, 202500
Dec 2, 202500
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Dec 8, 2025126.3K
Dec 9, 202500
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Dec 11, 20251193K
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Dec 17, 2025166.6K
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Dec 20, 20251122K
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Dec 24, 20251183K
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Dec 28, 2025148K
Dec 29, 20251310K
Dec 30, 202500
Dec 31, 2025189.3K
Jan 1, 202600
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Jan 5, 202611.2M
Jan 6, 202600
Jan 7, 20261237K
Jan 8, 20262775K
Jan 9, 2026181.5K
Jan 10, 2026117.2K
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Jan 14, 20261781K
Jan 15, 20262418K
Jan 16, 202600
Jan 17, 20266473K
Jan 18, 20261103K
Jan 19, 202622.2M
Jan 20, 2026165.5K
Jan 21, 20261155K
Jan 22, 202600
Jan 23, 20261231K
Jan 24, 2026354M
Jan 25, 2026753M
Jan 26, 20261159.9M
Jan 27, 2026779.2M
Jan 28, 2026856.9M
Jan 29, 2026943.4M
Jan 30, 2026756.3M
Jan 31, 20261039.1M
Feb 1, 2026833.9M
Feb 2, 20261441.7M
Feb 3, 2026846.7M
Feb 4, 20261242.9M
Feb 5, 20261646.7M
Feb 6, 20261346.8M
Feb 7, 20261018.5M
Feb 8, 20261013.7M
Feb 9, 20261097.5M
Feb 10, 20261167.8M
Feb 11, 2026948.4M
Feb 12, 20261342.8M
Feb 13, 20261442.1M
Feb 14, 20261016.5M
Feb 15, 20261568M
Feb 16, 202610113.9M
Feb 17, 2026955.9M
Feb 18, 2026435.1M
Feb 19, 202614168.1M
Feb 20, 20261785.2M
Feb 21, 20261146.5M
Feb 22, 20261064.3M
Feb 23, 202620142.8M
Feb 24, 20262179M
Feb 25, 20261270.2M
Feb 26, 20261655M
Feb 27, 20261475.6M
Feb 28, 2026826M
Mar 1, 2026733.1M
Mar 2, 2026654.7M
Mar 3, 20261369M
Mar 4, 20261147.6M
Mar 5, 20261046.6M
Mar 6, 20261129.4M
Mar 7, 2026625.5M
Mar 8, 202631.7M
Mar 9, 20261543M
Mar 10, 20261519.8M
Mar 11, 2026836.3M
Mar 12, 20261255.1M
Mar 13, 2026825.7M
Mar 14, 202665.4M
Mar 15, 2026712.8M
Mar 16, 20261169.1M
Mar 17, 20261126.1M
Mar 18, 2026723.1M
Mar 19, 20261447.2M
Mar 20, 20261026.4M
Mar 21, 2026430.1M
Mar 22, 202649M
Mar 23, 2026920.4M
Mar 24, 2026851.7M
Mar 25, 20261025.8M
Mar 26, 20261244.7M
Mar 27, 20262150.5M
Mar 28, 2026839.2M
Mar 29, 2026828M
Mar 30, 20261214.1M
Mar 31, 20261425.5M
Apr 1, 20261763.6M
Apr 2, 20261749.9M
Apr 3, 20261565.2M
Apr 4, 2026950.4M
Apr 5, 2026827.1M
Apr 6, 20261647.9M
Apr 7, 20262033M
Apr 8, 20262246.3M
Apr 9, 20262165.4M
Apr 10, 20261850.9M
Apr 11, 20261128M
Apr 12, 2026921.1M
Apr 13, 20261319.8M
Apr 14, 20261218.5M
Apr 15, 20261924.4M
Apr 16, 20261739.5M
Apr 17, 20261538.4M
Apr 18, 2026326.4M
Apr 19, 2026610.2M
Apr 20, 20261018.8M
Apr 21, 20261230.9M
Apr 22, 20262031.6M
Apr 23, 20261840.8M
Apr 24, 20261127.2M
Apr 25, 202658.3M
Apr 26, 2026613M
Apr 27, 2026911.8M
Apr 28, 202666.1M
Apr 29, 2026615.5M
Apr 30, 2026531.7M
May 1, 2026710.7M
May 2, 2026512M
May 3, 2026718.2M
May 4, 2026514.1M
May 5, 2026743.8M
May 6, 2026715.8M
May 7, 202631.8M
May 8, 202600
May 9, 202612.2M
May 10, 20261758K
May 11, 202600
May 12, 20261296K
May 13, 202600
May 14, 202600
May 15, 202615.9M
May 16, 202611.3M
May 17, 20261730K
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May 19, 202613.9M
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May 22, 20261329K
May 23, 2026111.4M
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May 28, 20261415K
May 29, 202612M
May 30, 20261313K
May 31, 202612M
Jun 1, 202612.1M
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Jun 15, 2026166.8K
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Jul 20, 202611.2M
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Jul 24, 2026157.7K
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Sep 8, 20261903K
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Sep 16, 2026135.1K
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Token mix

How the 4.3B tokens split. Cache reads are usually most of an agent's tokens and are priced far below input.

  • Input33%
  • Output2.0%
  • Cache read63%
  • Cache write<0.1%
  • Reasoning1.5%

Agents that carry GPT-5 Nano

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

  1. OpenCode100% of this model's tokens251active users
  2. Cursor<0.1% of this model's tokens3active users
  3. OpenClaw<0.1% of this model's tokens3active users
  4. Zed Agent<0.1% of this model's tokens1active users
  5. Hermes Agent<0.1% of this model's tokens1active users
  6. Cline<0.1% of this model's tokens1active users

Benchmarks

The best result for GPT-5 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
    139.1
    Rank #120 of 158 matched modelsNo conditions reportedModel released Aug 7, 2025Source: epoch.ai (opens in a new tab)
  • GPQA DiamondReasoning · Epoch AI
    69.4%
    Rank #112 of 160 matched modelsHighRun date Oct 30, 2025Source: 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 3 more results with other run conditionsHide the other results
    • Listed as gpt-5-nano-2025-08-07_medium
      67.4%
      MediumRun date Aug 7, 2025Source: epoch.ai (opens in a new tab)
    • Listed as gpt-5-nano-2025-08-07_low
      57.6%
      LowRun date Jul 13, 2026Source: epoch.ai (opens in a new tab)
    • Listed as gpt-5-nano-2025-08-07_minimal
      48.5%
      MinimalRun date Jul 13, 2026Source: epoch.ai (opens in a new tab)
  • FrontierMath Tiers 1–3 (v2)Reasoning · Epoch AI
    20.0%
    Rank #79 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-nano-2025-08-07_low
      6.0%
      LowRun date Aug 27, 2026Source: epoch.ai (opens in a new tab)
    • Listed as gpt-5-nano-2025-08-07_minimal
      1.8%
      MinimalRun date Aug 27, 2026Source: epoch.ai (opens in a new tab)
  • SimpleQA VerifiedKnowledge · Epoch AI
    11.7%
    Rank #83 of 86 matched modelsHighRun date Aug 10, 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
$0.03
Est. per 1M tokens
63% cache reads
At the community mix
$0.01
Est. per 1M tokens
93% cache reads
3:1 input/output blend
$0.14
Per 1M tokens at list prices
No cache

Cache reads were 63% of GPT-5 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 $0.05, output $0.40, cache read $0.005.
  • 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-nano
    $0.05 input per 1M tokens$0.40 output per 1M tokens$0.005 cache read per 1M tokensCache write not listed400K tokens of context
  • OpenRouteropenai/gpt-5-nano
    $0.05 input per 1M tokens$0.40 output per 1M tokens$0.005 cache read per 1M tokensCache write not listed400K tokens of context
  • Vercel AI Gatewayopenai/gpt-5-nano
    $0.05 input per 1M tokens$0.40 output per 1M tokens$0.005 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
May 30, 2024
Release date
Aug 7, 2025
Open weights
No
Reasoning
Yes
Tool calling
Yes

Top public profiles

Public profiles that used GPT-5 Nano most in this period, by tokens. Hidden accounts are never listed.

  1. 1Junho Yeo@junhoyeo588.1Mtokens$21est. cost35active days$21 est. cost · 35 active days
  2. 2Junho Baek@kanu9812198.4Mtokens$6est. cost14active days$6 est. cost · 14 active days
  3. 3harlockchoi@harlockchoi181.2Mtokens$6est. cost34active days$6 est. cost · 34 active days
  4. 4ZoOL@foxzool170.3Mtokens$6est. cost22active days$6 est. cost · 22 active days
  5. 5fathiraz arthuro@fathiraz168Mtokens$5est. cost41active days$5 est. cost · 41 active days
  6. 6Andre Dalwin@AndreDalwin142.5Mtokens$5est. cost32active days$5 est. cost · 32 active days
  7. 7jidohyun@jidohyun123Mtokens$4est. cost30active days$4 est. cost · 30 active days
  8. 8larrabee@larrabee-kor115.6Mtokens$4est. cost22active days$4 est. cost · 22 active days
  9. 9Xh4H@Xh4H105.5Mtokens$4est. cost13active days$4 est. cost · 13 active days
  10. 10Chanmin Kim@chanmin713104.4Mtokens$1est. cost6active days$1 est. cost · 6 active days

More from OpenAI

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

  1. GPT-5.565% adoption1,595active users
  2. GPT-5.462% adoption1,532active users
  3. GPT-5.3 Codex54% adoption1,339active users
  4. GPT-5.6 Sol52% adoption1,272active users
  5. GPT-5.6 Terra45% adoption1,115active users
  6. GPT-5.6 Luna44% adoption1,089active 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