GPT-4.1 Nano in fedi-index
The score in every slice, what it is made of, value, local run and history.
fedi-index · General
C 1,279 ±9
Percentile 30 · #204
People prefer / Solves tasks
1,282 / 1,273
Human votes vs benchmarks, Elo-eq
Value
-57
$0.175 per 1M tokens, median of 21 providers · vendor $0.175
On your hardware
Closed weights: cloud only.
Score decomposition
C General 1,279 [1,270–1,288] Percentile 30 · #204 · components: 9
| Source | Component | Value | Elo-eq | Weight | Measured | Variant |
|---|---|---|---|---|---|---|
| Epoch AI |
eci
|
130 ±2.23 | 1,277 ±18 | 23.2% | 2025-04-14 | — |
| LMArena |
text/overall
|
1,285 ±3.90 | 1,285 ±4 | 19.7% | 2026-10-02 | — |
| LMArena |
text/hard_prompts
|
1,286 ±6.88 | 1,292 ±6 | 17.9% | 2026-10-02 | — |
| LMArena |
text/instruction_following
|
1,267 ±6.32 | 1,287 ±6 | 9.1% | 2026-10-02 | — |
| LMArena |
text/expert
|
1,271 ±15 | 1,289 ±13 | 6.2% | 2026-10-02 | — |
| Epoch AI |
simpleqa_verified
decay ×0.61 |
0.06 ±0.01 | 1,316 ±2 | 5.5% | 2026-08-31 | — |
| LMArena |
text/multi_turn
|
1,277 ±9.19 | 1,287 ±8 | 4.0% | 2026-10-02 | — |
| LMArena |
text/longer_query
|
1,283 ±10 | 1,291 ±10 | 3.8% | 2026-10-02 | — |
| Epoch AI |
gpqa_diamond
decay ×0.26 |
0.49 ±0.02 | 1,267 ±12 | 1.5% | 2025-04-14 | — |
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
C Coding 1,286 [1,271–1,301] Percentile 29 · #197 · components: 1 provisional
| Source | Component | Value | Elo-eq | Weight | Measured | Variant |
|---|---|---|---|---|---|---|
| LMArena |
text/coding
|
1,306 ±9.83 | 1,297 ±9 | 87.7% | 2026-10-02 | — |
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
C Math 1,261 [1,243–1,280] Percentile 31 · #176 · components: 1 provisional
| Source | Component | Value | Elo-eq | Weight | Measured | Variant |
|---|---|---|---|---|---|---|
| LMArena |
text/math
|
1,274 ±12 | 1,272 ±11 | 83.7% | 2026-10-02 | — |
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
D Vision 1,256 [1,241–1,272] Percentile 18 · #93 · components: 1 provisional
| Source | Component | Value | Elo-eq | Weight | Measured | Variant |
|---|---|---|---|---|---|---|
| LMArena |
vision/overall
|
1,063 ±9.33 | 1,261 ±8 | 92.4% | 2026-10-02 | — |
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
C Writing 1,280 [1,268–1,293] Percentile 33 · #181 · components: 2 provisional
| Source | Component | Value | Elo-eq | Weight | Measured | Variant |
|---|---|---|---|---|---|---|
| LMArena |
text/creative_writing
|
1,260 ±9.29 | 1,286 ±10 | 61.3% | 2026-10-02 | — |
| LMArena |
text/longer_query
|
1,283 ±10 | 1,291 ±10 | 30.7% | 2026-10-02 | — |
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
C Language: English 1,280 [1,271–1,290] Percentile 32 · #185 · components: 1 provisional
| Source | Component | Value | Elo-eq | Weight | Measured | Variant |
|---|---|---|---|---|---|---|
| LMArena |
text/english
|
1,303 ±4.99 | 1,286 ±5 | 93.4% | 2026-10-02 | — |
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
C Language: Русский 1,276 [1,258–1,293] Percentile 25 · #175 · components: 1 provisional
| Source | Component | Value | Elo-eq | Weight | Measured | Variant |
|---|---|---|---|---|---|---|
| LMArena |
text/russian
|
1,261 ±11 | 1,282 ±10 | 92.0% | 2026-10-02 | — |
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-4.1 Nano | 1,279 C |
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.