GPT-4o Mini

OpenAIKey gpt-4o-miniAlso reported as `gpt-4o-mini`, openai/gpt-4o-mini, gpt-4o mini

Rank: #363; by active users
Active users: 1; NewNew: no active users in the previous 7 days, 1 now. vs previous 7 days
Adoption: 0.2%; of 610 accounts
Tokens: 6.8K; cache included
Est. cost: <$1; at public list prices
First seen: Jul 7, 2025; in any submission

Nov 6–12, 2026 (UTC)610 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-4o Mini, Nov 6, 2026 to Nov 12, 2026. Peak 1. Use the left and right arrow keys to read each day.110

Show daily values

Daily active users and tokens for GPT-4o Mini
Date (UTC)	Active users	Tokens
Nov 6, 2026	0	0
Nov 7, 2026	0	0
Nov 8, 2026	0	0
Nov 9, 2026	1	6.8K
Nov 10, 2026	0	0
Nov 11, 2026	0	0
Nov 12, 2026	0	0

Token mix

How the 6.8K tokens split. Cache reads are usually most of an agent's tokens and are priced far below input.

Input100%
Output0.4%
Cache read0%
Cache write0%
Reasoning0%

Agents that carry GPT-4o Mini

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

Hermes Agent100% of this model's tokens1active users

Benchmarks

The best result for GPT-4o 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
123.9
Epoch Capabilities Index: 123.9
Model
GPT-4o Mini
Listed as
GPT-4o mini
Conditions
Not reported
Interval
120.5–126.9
Unit
ECI
Model released
Jul 18, 2024
Retrieved
Nov 12, 2026
Source · Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
Rank #150 of 158 matched modelsNo conditions reportedModel released Jul 18, 2024Source: epoch.ai (opens in a new tab)
GPQA DiamondReasoning · Epoch AI
37.7%
GPQA Diamond: 37.7%
Model
GPT-4o Mini
Listed as
gpt-4o-mini-2024-07-18
Conditions
Not reported
Unit
% correct
Run date
Jan 27, 2025
Retrieved
Nov 12, 2026
Source · Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
Rank #149 of 160 matched modelsNo conditions reportedRun date Jan 27, 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
0.7%
FrontierMath Tiers 1–3 (v2): 0.7%
Model
GPT-4o Mini
Listed as
gpt-4o-mini-2024-07-18
Conditions
Not reported
Unit
% solved
Run date
Aug 27, 2026
Retrieved
Nov 12, 2026
Source · Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
Rank #89 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
8.3%
SimpleQA Verified: 8.3%
Model
GPT-4o Mini
Listed as
gpt-4o-mini-2024-07-18
Conditions
Not reported
Unit
% correct
Run date
Aug 31, 2026
Retrieved
Nov 12, 2026
Source · Epoch AI, ‘Capabilities & benchmarking’, epoch.ai/benchmarks (CC BY 4.0)
Rank #85 of 86 matched modelsNo conditions reportedRun date Aug 31, 2026Source: epoch.ai (opens in a new tab)

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: $0.15; Est. per 1M tokens
0% cache reads
At the community mix: $0.08; Est. per 1M tokens
96% cache reads
3:1 input/output blend: $0.26; Per 1M tokens at list prices
No cache

Cache reads were 0% of GPT-4o Mini tokens in the last 7 days and 96% 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 $0.15, output $0.60, cache read $0.07.
This model's mix is its own input, output, cache and reasoning tokens in the last 7 days.
The community mix is the tokens of every identified model in the last 7 days.
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-4o-mini
$0.15 input per 1M tokens$0.60 output per 1M tokens$0.07 cache read per 1M tokensCache write not listed128K tokens of context
Azuregpt-4o-mini
$0.15 input per 1M tokens$0.60 output per 1M tokens$0.07 cache read per 1M tokensCache write not listed128K tokens of context
OpenRouteropenai/gpt-4o-mini
$0.15 input per 1M tokens$0.60 output per 1M tokens$0.07 cache read per 1M tokensCache write not listed128K tokens of context
Vercel AI Gatewayopenai/gpt-4o-mini
$0.15 input per 1M tokens$0.60 output per 1M tokens$0.07 cache read per 1M tokensCache write not listed128K 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: 128K tokens
Max output: 16K tokens
Input: Text, Image, PDF
Output: Text
Knowledge cutoff: Sep 2023
Release date: Jul 18, 2024
Open weights: No
Reasoning: No
Tool calling: Yes

Top public profiles

Public profiles that used GPT-4o Mini most in this period, by tokens. Hidden accounts are never listed.

1Park Hee Chan@channprj6.8Ktokens<$1est. cost1active days<$1 est. cost · 1 active days

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

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GPT-6 Astra44% adoption268active users
GPT-6 Luna25% adoption154active users
GPT-6.1 Terra22% adoption136active users
Codex Auto Review18% adoption112active users
GPT-5.6 Sol10% adoption61active 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