GPT-5 Pro in fedi-index
The score in every slice, what it is made of, value, local run and history.
fedi-index · General
B 1,406 ±15
Percentile 72 · #84 · provisional
People prefer / Solves tasks
— / 1,422
Human votes vs benchmarks, Elo-eq
Value
-63
$41.25 per 1M tokens, median of 14 providers · vendor $41.25
On your hardware
Closed weights: cloud only.
Score decomposition
B General 1,406 [1,392–1,421] Percentile 72 · #84 · components: 1 provisional
| Source | Component | Value | Elo-eq | Weight | Measured | Variant |
|---|---|---|---|---|---|---|
| Epoch AI |
eci
|
150 ±1.09 | 1,440 ±9 | 85.7% | 2025-10-07 | — |
Weight is the share of the component in the score (the rest is the prior that pulls models with little data towards the population median). Methodology
B Math 1,401 [1,392–1,410] Percentile 72 · #72 · components: 2 provisional
| Source | Component | Value | Elo-eq | Weight | Measured | Variant |
|---|---|---|---|---|---|---|
| Epoch AI |
frontiermath_t1_3
decay ×0.86 |
0.56 ±0.03 | 1,442 ±6 | 60.0% | 2026-06-12 | high |
| Epoch AI |
frontiermath_t4
decay ×0.86 |
0.20 ±0.06 | 1,424 ±10 | 24.6% | 2026-06-12 | high |
Weight is the share of the component in the score (the rest is the prior that pulls models with little data towards the population median). Methodology
History
The same in a table
| Model | 2026-10 |
|---|---|
| GPT-5 Pro | 1,406 B |
Badge
Show the model's fedi-index on your site or in a README. The badge updates itself; it links to this page.
Data CC BY 4.0: keep the link to fedi.software.