GPT-4.1 Mini 2025 04 14

OpenAIKey gpt-4.1-mini-2025-04-14

Rank
#184
by active users
Active users
5
Up 2 from 3 active users in the previous 30 days. vs previous 30 days
Adoption
0.5%
of 961 accounts
Tokens
2.1M
cache included
Est. cost
<$1
at public list prices
First seen
Jan 25, 2026
in any submission

Oct 14 – Nov 12, 2026 (UTC)961 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-4.1 Mini 2025 04 14, Oct 14, 2026 to Nov 12, 2026. Peak 2. Use the left and right arrow keys to read each day.210
Show daily values
Daily active users and tokens for GPT-4.1 Mini 2025 04 14
Date (UTC)Active usersTokens
Oct 14, 20262236K
Oct 15, 202619.7K
Oct 16, 2026113K
Oct 17, 2026117.2K
Oct 18, 2026121.4K
Oct 19, 2026112.4K
Oct 20, 202613.8K
Oct 21, 2026150.2K
Oct 22, 202600
Oct 23, 202600
Oct 24, 202621M
Oct 25, 2026148K
Oct 26, 202600
Oct 27, 20261288K
Oct 28, 202619.1K
Oct 29, 202600
Oct 30, 20261320K
Oct 31, 2026173.4K
Nov 1, 202614.9K
Nov 2, 202600
Nov 3, 202600
Nov 4, 202600
Nov 5, 202600
Nov 6, 202600
Nov 7, 202600
Nov 8, 202600
Nov 9, 202600
Nov 10, 202600
Nov 11, 202600
Nov 12, 202600

Token mix

How the 2.1M tokens split. Cache reads are usually most of an agent's tokens and are priced far below input.

  • Input92%
  • Output2.3%
  • Cache read5.8%
  • Cache write0%
  • Reasoning0%

Agents that carry GPT-4.1 Mini 2025 04 14

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

  1. Junie100% of this model's tokens5active users

Benchmarks

The best result for GPT-4.1 Mini 2025 04 14 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
    134.2
    Rank #132 of 158 matched modelsNo conditions reportedModel released Apr 14, 2025Source: epoch.ai (opens in a new tab)
  • GPQA DiamondReasoning · Epoch AI
    65.8%
    Rank #116 of 160 matched modelsNo conditions reportedRun date Apr 14, 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.

  • FrontierMath Tiers 1–3 (v2)Reasoning · Epoch AI
    6.7%
    Rank #86 of 90 matched modelsNo conditions reportedRun date Aug 27, 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.

  • SimpleQA VerifiedKnowledge · Epoch AI
    12.7%
    Rank #81 of 86 matched modelsNo conditions reportedRun date Aug 31, 2026Source: epoch.ai (opens in a new tab)

Pricing

models.dev does not list GPT-4.1 Mini 2025 04 14, so Tokscale has no list price or price estimate for it.

Specs

models.dev does not list GPT-4.1 Mini 2025 04 14, so Tokscale has no specs for it.

Top public profiles

Public profiles that used GPT-4.1 Mini 2025 04 14 most in this period, by tokens. Hidden accounts are never listed.

  1. 1Daniel Espendiller@Haehnchen1.2Mtokens<$1est. cost3active days<$1 est. cost · 3 active days
  2. 2James W. Lane III@jameswlane828Ktokens<$1est. cost5active days<$1 est. cost · 5 active days
  3. 3Tan Jeong Shiun@jeshtan77.4Ktokens<$1est. cost6active days<$1 est. cost · 6 active days
  4. 4Tobias Steinhäusler@tobytaken50.7Ktokens<$1est. cost2active days<$1 est. cost · 2 active days
  5. 5Nehr@AgileInnov8tor4.9Ktokens<$1est. cost1active days<$1 est. cost · 1 active days

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

  1. GPT-6.1 Sol69% adoption665active users
  2. GPT-6 Astra59% adoption567active users
  3. GPT-6 Luna45% adoption434active users
  4. Codex Auto Review30% adoption289active users
  5. GPT-6.1 Terra28% adoption272active users
  6. GPT-6 Sol26% adoption248active 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.
  • TokscaleActive users, tokens and token mix from public Tokscale submissions. Hidden accounts are excluded.How we count