GPT-5 Mini

OpenAIKey gpt-5-miniAlso reported as copilot/gpt-5-mini, openai/gpt-5-mini, openrouter/openai/gpt-5-mini, sumo/gpt-5-mini, github-copilot/gpt-5-mini

Rank
#82
by active users
Active users
178
All time
Adoption
7.2%
of 2,457 accounts
Tokens
2.9B
cache included
Est. cost
$374
at public list prices
First seen
Aug 15, 2025
in any submission

Oct 10, 2024 – Nov 12, 2026 (UTC)2,457 accounts100% of tokens from an identified modelData through Nov 12, 2026, 07:57 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 Mini, Oct 10, 2024 to Nov 12, 2026. Peak 14. Use the left and right arrow keys to read each day.1580
Show daily values
Daily active users and tokens for GPT-5 Mini
Date (UTC)Active usersTokens
Oct 10, 202400
Oct 11, 202400
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Nov 1, 202400
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Nov 26, 202400
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Nov 28, 202400
Nov 29, 202400
Nov 30, 202400
Dec 1, 202400
Dec 2, 202400
Dec 3, 202400
Dec 4, 202400
Dec 5, 202400
Dec 6, 202400
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Jan 1, 202500
Jan 2, 202500
Jan 3, 202500
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Feb 1, 202500
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Apr 1, 202500
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Jun 1, 202500
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Jun 30, 202500
Jul 1, 202500
Jul 2, 202500
Jul 3, 202500
Jul 4, 202500
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Aug 15, 202513.7M
Aug 16, 202500
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Aug 18, 202500
Aug 19, 20251311K
Aug 20, 20251363K
Aug 21, 202500
Aug 22, 2025310.1M
Aug 23, 20251441K
Aug 24, 202522.8M
Aug 25, 202522.7M
Aug 26, 202526.5M
Aug 27, 202500
Aug 28, 20252404K
Aug 29, 202523.7M
Aug 30, 202500
Aug 31, 202500
Sep 1, 20251239K
Sep 2, 202511.9M
Sep 3, 20251257K
Sep 4, 2025110.2M
Sep 5, 202500
Sep 6, 202500
Sep 7, 2025183.3K
Sep 8, 202516.2M
Sep 9, 202513.9M
Sep 10, 202515.3M
Sep 11, 202500
Sep 12, 202500
Sep 13, 202500
Sep 14, 20251146K
Sep 15, 202511.7M
Sep 16, 202500
Sep 17, 202500
Sep 18, 202511.3M
Sep 19, 202500
Sep 20, 202500
Sep 21, 2025111.3K
Sep 22, 202512.1M
Sep 23, 202521.4M
Sep 24, 202500
Sep 25, 202500
Sep 26, 202512.1M
Sep 27, 202500
Sep 28, 202500
Sep 29, 202500
Sep 30, 202500
Oct 1, 202500
Oct 2, 2025119.8M
Oct 3, 202500
Oct 4, 202500
Oct 5, 202500
Oct 6, 202500
Oct 7, 202500
Oct 8, 202500
Oct 9, 202500
Oct 10, 202500
Oct 11, 202511.5M
Oct 12, 202511.3M
Oct 13, 202532.6M
Oct 14, 202512.2M
Oct 15, 202512.3M
Oct 16, 2025179.4K
Oct 17, 202500
Oct 18, 2025159.2K
Oct 19, 202500
Oct 20, 202500
Oct 21, 202511.8M
Oct 22, 2025112.7M
Oct 23, 2025140.3M
Oct 24, 202512.8M
Oct 25, 202514.7M
Oct 26, 2025241.7M
Oct 27, 2025225M
Oct 28, 2025120.3M
Oct 29, 202527M
Oct 30, 202516.8M
Oct 31, 2025320M
Nov 1, 2025225.7M
Nov 2, 202511.9M
Nov 3, 202500
Nov 4, 202513M
Nov 5, 20252955K
Nov 6, 2025212.4M
Nov 7, 2025112.4M
Nov 8, 202514.4M
Nov 9, 20251534
Nov 10, 202516M
Nov 11, 2025238.3M
Nov 12, 202518M
Nov 13, 202500
Nov 14, 20252119K
Nov 15, 2025113K
Nov 16, 202500
Nov 17, 202516.4M
Nov 18, 202517M
Nov 19, 202500
Nov 20, 202500
Nov 21, 202515M
Nov 22, 20251804K
Nov 23, 202500
Nov 24, 202500
Nov 25, 20251201K
Nov 26, 2025139.1K
Nov 27, 2025119.4K
Nov 28, 202500
Nov 29, 20251203K
Nov 30, 2025117.4K
Dec 1, 202500
Dec 2, 202500
Dec 3, 202500
Dec 4, 202500
Dec 5, 202500
Dec 6, 202500
Dec 7, 202500
Dec 8, 202511.9M
Dec 9, 20251239K
Dec 10, 202500
Dec 11, 20251251K
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Dec 15, 202500
Dec 16, 20251387K
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Dec 27, 202500
Dec 28, 20251192K
Dec 29, 202511.4K
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Dec 31, 202500
Jan 1, 202600
Jan 2, 202600
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Jan 4, 2026146.3K
Jan 5, 20262847K
Jan 6, 202611.1M
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Jan 8, 202613.8M
Jan 9, 202611.2M
Jan 10, 2026214.3M
Jan 11, 2026217.9M
Jan 12, 202600
Jan 13, 202600
Jan 14, 2026174.8K
Jan 15, 2026110.9M
Jan 16, 2026132.9K
Jan 17, 2026146.4K
Jan 18, 20261380K
Jan 19, 2026126.1K
Jan 20, 2026117.8K
Jan 21, 202615.7M
Jan 22, 20261604K
Jan 23, 202624.4M
Jan 24, 202633.1M
Jan 25, 202600
Jan 26, 202644.7M
Jan 27, 202634.7M
Jan 28, 2026640.7M
Jan 29, 2026322.4M
Jan 30, 2026216.5M
Jan 31, 2026627.7M
Feb 1, 2026512.7M
Feb 2, 202644.3M
Feb 3, 2026923.3M
Feb 4, 2026611.4M
Feb 5, 202654.2M
Feb 6, 202645.5M
Feb 7, 2026410.6M
Feb 8, 202656.2M
Feb 9, 202658.7M
Feb 10, 2026514.1M
Feb 11, 20261224.8M
Feb 12, 2026717.3M
Feb 13, 202647.3M
Feb 14, 202653.6M
Feb 15, 202625.2M
Feb 16, 202643.8M
Feb 17, 202652.3M
Feb 18, 2026417.5M
Feb 19, 202649.9M
Feb 20, 202623.4M
Feb 21, 202633M
Feb 22, 202678M
Feb 23, 202666.8M
Feb 24, 202663.5M
Feb 25, 202669.2M
Feb 26, 2026825.8M
Feb 27, 2026441.3M
Feb 28, 2026518.7M
Mar 1, 2026535.2M
Mar 2, 2026722M
Mar 3, 2026813.1M
Mar 4, 2026412.7M
Mar 5, 202673.2M
Mar 6, 202667.5M
Mar 7, 2026610.8M
Mar 8, 202654.5M
Mar 9, 2026929.3M
Mar 10, 2026712.7M
Mar 11, 20261013.9M
Mar 12, 202646.5M
Mar 13, 202676.5M
Mar 14, 202637.7M
Mar 15, 202631.6M
Mar 16, 202665M
Mar 17, 20261013.3M
Mar 18, 202669.6M
Mar 19, 202678.4M
Mar 20, 2026812.6M
Mar 21, 20263745K
Mar 22, 202641.7M
Mar 23, 20262209K
Mar 24, 202659.7M
Mar 25, 2026426.4M
Mar 26, 202654.9M
Mar 27, 202647.2M
Mar 28, 202621.7M
Mar 29, 202648.5M
Mar 30, 202653.7M
Mar 31, 2026515.1M
Apr 1, 20261032.4M
Apr 2, 2026828.4M
Apr 3, 2026511.2M
Apr 4, 202636.1M
Apr 5, 2026726.5M
Apr 6, 2026538.9M
Apr 7, 202669.1M
Apr 8, 202644M
Apr 9, 202687.3M
Apr 10, 2026715.1M
Apr 11, 2026417.4M
Apr 12, 2026822.2M
Apr 13, 20261233.7M
Apr 14, 2026941.8M
Apr 15, 2026729.7M
Apr 16, 2026913.8M
Apr 17, 2026512.1M
Apr 18, 202634M
Apr 19, 2026841.6M
Apr 20, 202613105.2M
Apr 21, 2026971.3M
Apr 22, 2026940.5M
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Apr 24, 2026948.1M
Apr 25, 2026865.5M
Apr 26, 2026744.8M
Apr 27, 20261053.5M
Apr 28, 2026737.7M
Apr 29, 2026728.8M
Apr 30, 202645.2M
May 1, 202618.3M
May 2, 202613.1M
May 3, 2026211.5M
May 4, 202666.1M
May 5, 20261318K
May 6, 202611.5M
May 7, 2026413.3M
May 8, 202615.2M
May 9, 202613.7M
May 10, 202611.1K
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May 12, 2026312.2M
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May 14, 2026412.9M
May 15, 202647.2M
May 16, 2026124.7K
May 17, 2026216.1M
May 18, 2026414.1M
May 19, 202631.9M
May 20, 2026412.2M
May 21, 2026412.2M
May 22, 202642.5M
May 23, 202647.3M
May 24, 202600
May 25, 20261155K
May 26, 2026313.1M
May 27, 2026417.5M
May 28, 2026511.4M
May 29, 202624.6M
May 30, 2026330.4M
May 31, 202631.2M
Jun 1, 202664.6M
Jun 2, 20262198K
Jun 3, 20262221K
Jun 4, 202639.7M
Jun 5, 202644.9M
Jun 6, 20261822K
Jun 7, 20261402K
Jun 8, 2026211.8M
Jun 9, 20262358K
Jun 10, 202624.2M
Jun 11, 2026628.6M
Jun 12, 2026546.5M
Jun 13, 202600
Jun 14, 202636.7M
Jun 15, 202677M
Jun 16, 2026545M
Jun 17, 2026422.7M
Jun 18, 2026627M
Jun 19, 202659.8M
Jun 20, 2026256.7K
Jun 21, 202635.3M
Jun 22, 2026332M
Jun 23, 202626.4M
Jun 24, 202641.8M
Jun 25, 202667.3M
Jun 26, 20261305K
Jun 27, 202600
Jun 28, 20263295K
Jun 29, 202621.3M
Jun 30, 2026212.4M
Jul 1, 202623.5M
Jul 2, 2026227.8M
Jul 3, 20264946K
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Jul 5, 202600
Jul 6, 202658.2M
Jul 7, 202628M
Jul 8, 2026314.7M
Jul 9, 202634.8M
Jul 10, 2026135.6K
Jul 11, 20262651K
Jul 12, 202631.1M
Jul 13, 202632M
Jul 14, 20262292K
Jul 15, 2026164.1K
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Jul 21, 2026173.6K
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Jul 23, 20262275K
Jul 24, 2026266.4K
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Jul 27, 202600
Jul 28, 202621.3M
Jul 29, 2026311.9M
Jul 30, 202629.9M
Jul 31, 202625.2M
Aug 1, 2026141.2K
Aug 2, 202613.5M
Aug 3, 2026328.6M
Aug 4, 202643.6M
Aug 5, 202641.5M
Aug 6, 202623.8M
Aug 7, 2026374.4K
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Aug 9, 202621.3M
Aug 10, 2026276.2K
Aug 11, 202631.4M
Aug 12, 202611.8M
Aug 13, 20261600K
Aug 14, 20261462K
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Aug 16, 20263184K
Aug 17, 20264461K
Aug 18, 202631.3M
Aug 19, 202621.5M
Aug 20, 2026120.8K
Aug 21, 202634.4M
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Aug 24, 2026298.2K
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Aug 26, 202613.8M
Aug 27, 2026129.6K
Aug 28, 20261392K
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Aug 30, 202600
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Sep 2, 202600
Sep 3, 202624.5M
Sep 4, 202625.3M
Sep 5, 20262634K
Sep 6, 202600
Sep 7, 20261790
Sep 8, 202600
Sep 9, 20261776K
Sep 10, 202631.1M
Sep 11, 20261811K
Sep 12, 20261601K
Sep 13, 202612.1M
Sep 14, 202621.5M
Sep 15, 202611.4M
Sep 16, 202613.2M
Sep 17, 202624.7M
Sep 18, 202600
Sep 19, 202600
Sep 20, 202600
Sep 21, 202611.4M
Sep 22, 202621.4M
Sep 23, 202621.9M
Sep 24, 202600
Sep 25, 202624.8M
Sep 26, 2026123.4K
Sep 27, 202600
Sep 28, 20261280K
Sep 29, 202621.6M
Sep 30, 202621M
Oct 1, 202600
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Oct 4, 202600
Oct 5, 202611M
Oct 6, 2026121.4K
Oct 7, 202600
Oct 8, 202614.3K
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Oct 18, 20261994K
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Token mix

How the 2.9B tokens split. Cache reads are usually most of an agent's tokens and are priced far below input.

  • Input25%
  • Output2.2%
  • Cache read72%
  • Cache write0.1%
  • Reasoning<0.1%

Agents that carry GPT-5 Mini

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

  1. OpenCode74% of this model's tokens108active users
  2. Cursor13% of this model's tokens12active users
  3. Hermes Agent6.0% of this model's tokens5active users
  4. OpenClaw5.4% of this model's tokens7active users
  5. Copilot0.8% of this model's tokens40active users
  6. Pi0.5% of this model's tokens16active users
  7. Claude Code0.2% of this model's tokens1active users
  8. Codex CLI0.1% of this model's tokens4active users
  9. Kilo<0.1% of this model's tokens1active users
  10. Gajae Code<0.1% of this model's tokens1active users
  11. Zed Agent<0.1% of this model's tokens1active users
  12. Goose<0.1% of this model's tokens1active users
  13. Oh My Pi<0.1% of this model's tokens1active users

Benchmarks

The best result for GPT-5 Mini 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
    146.1
    Rank #87 of 158 matched modelsNo conditions reportedModel released Aug 7, 2025Source: epoch.ai (opens in a new tab)
  • GPQA DiamondReasoning · Epoch AI
    75.0%
    Rank #104 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 2 more results with other run conditionsHide the other results
    • Listed as gpt-5-mini-2025-08-07_minimal
      71.7%
      MinimalRun date Aug 7, 2026Source: epoch.ai (opens in a new tab)
    • Listed as gpt-5-mini-2025-08-07_medium
      71.7%
      MediumRun date Aug 7, 2025Source: epoch.ai (opens in a new tab)
  • Humanity's Last ExamReasoning · Center for AI Safety and Scale AI, collected by Epoch AI
    19.4%
    Rank #20 of 40 matched modelsNo conditions reportedModel released Aug 7, 2025Source: lastexam.ai (opens in a new tab)
  • FrontierMath Tiers 1–3 (v2)Reasoning · Epoch AI
    46.7%
    Rank #57 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-mini-2025-08-07_low
      18.2%
      LowRun date Aug 27, 2026Source: epoch.ai (opens in a new tab)
    • Listed as gpt-5-mini-2025-08-07_minimal
      6.0%
      MinimalRun date Aug 27, 2026Source: epoch.ai (opens in a new tab)
  • SimpleQA VerifiedKnowledge · Epoch AI
    21.6%
    Rank #74 of 86 matched modelsHighRun date Aug 10, 2026Source: epoch.ai (opens in a new tab)
  • SWE-bench VerifiedHistory · Epoch AI
    64.7%
    Rank #26 of 32 matched modelsMediumRun date Feb 1, 2026Source: epoch.ai (opens in a new tab)

    History only. Newer agentic coding benchmarks are on the main board.

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
$0.13
Est. per 1M tokens
72% cache reads
At the community mix
$0.05
Est. per 1M tokens
93% cache reads
3:1 input/output blend
$0.69
Per 1M tokens at list prices
No cache

Cache reads were 72% of GPT-5 Mini 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 $0.25, output $2, cache read $0.03.
  • 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-mini
    $0.25 input per 1M tokens$2 output per 1M tokens$0.03 cache read per 1M tokensCache write not listed400K tokens of context
  • OpenRouteropenai/gpt-5-mini
    $0.25 input per 1M tokens$2 output per 1M tokens$0.03 cache read per 1M tokensCache write not listed400K tokens of context
  • Vercel AI Gatewayopenai/gpt-5-mini
    $0.25 input per 1M tokens$2 output per 1M tokens$0.03 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 Mini most in this period, by tokens. Hidden accounts are never listed.

  1. 1sigco3111@sigco3111469.5Mtokens$40est. cost51active days$40 est. cost · 51 active days
  2. 2yafyx@yafyx317Mtokens$25est. cost36active days$25 est. cost · 36 active days
  3. 3pheurtley@pheurtley306.9Mtokens$70est. cost75active days$70 est. cost · 75 active days
  4. 4Jelloeater@Jelloeater182.6Mtokens$13est. cost42active days$13 est. cost · 42 active days
  5. 5RazoBeckett@RazoBeckett146.2Mtokens$17est. cost59active days$17 est. cost · 59 active days
  6. 6CenoX@CenoX112.2Mtokens$24est. cost31active days$24 est. cost · 31 active days
  7. 7Darren@buddman120898.5Mtokens$9est. cost14active days$9 est. cost · 14 active days
  8. 8Juhwa Lee@Juhwa-Lee102383Mtokens$15est. cost20active days$15 est. cost · 20 active days
  9. 9AlohaYo@GarfieldZHU80.9Mtokens$11est. cost37active days$11 est. cost · 37 active days
  10. 10yslee@rapidrabbit7677.9Mtokens$5est. cost12active days$5 est. cost · 12 active days

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