Skip to content
fedi.software

GPT-5.1 in fedi-index

The score in every slice, what it is made of, value, local run and history.

fedi-index · General

A 1,426 ±4

Percentile 82 · #55

People prefer / Solves tasks

1,432 / 1,418

Human votes vs benchmarks, Elo-eq

Value

+18

$3.44 per 1M tokens, median of 26 providers · vendor $3.44

On your hardware

Closed weights: cloud only.

Score decomposition

A General 1,426 [1,422–1,430] Percentile 82 · #55 · components: 9
Source Component Value Elo-eq Weight Measured Variant
Epoch AI eci 150 ±0.72 1,435 ±6 35.7% 2025-11-13 —
LMArena text/overall 1,443 ±1.88 1,443 ±2 15.3% 2026-10-02 high
LMArena text/hard_prompts 1,457 ±2.45 1,446 ±2 15.2% 2026-10-02 high
LMArena text/instruction_following 1,443 ±3.20 1,454 ±3 7.5% 2026-10-02 high
LMArena text/expert 1,470 ±6.01 1,452 ±5 7.0% 2026-10-02 high
LMArena text/longer_query 1,448 ±3.22 1,445 ±3 3.7% 2026-10-02 high
Epoch AI simpleqa_verified decay ×0.61 0.48 ±0.02 1,448 ±5 3.7% 2026-08-27 high
LMArena text/multi_turn 1,450 ±3.83 1,444 ±4 3.7% 2026-10-02 high
Epoch AI gpqa_diamond decay ×0.26 0.88 ±0.02 1,447 ±9 1.3% 2025-11-13 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

B Coding 1,405 [1,402–1,409] Percentile 70 · #84 · components: 3
Source Component Value Elo-eq Weight Measured Variant
LMArena webdev/overall 1,395 ±5.86 1,420 ±2 39.9% 2026-10-01 medium
LMArena text/coding 1,454 ±3.51 1,429 ±3 38.7% 2026-10-02 high
Epoch AI swe_bench_verified decay ×0.37 0.68 ±0.02 1,422 ±11 13.0% 2026-02-18 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

B Math 1,408 [1,398–1,418] Percentile 76 · #62 · components: 1 provisional
Source Component Value Elo-eq Weight Measured Variant
LMArena text/math 1,446 ±5.91 1,438 ±6 87.5% 2026-10-02 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

B Vision 1,415 [1,410–1,420] Percentile 56 · #50 · components: 3 provisional
Source Component Value Elo-eq Weight Measured Variant
LMArena vision/overall 1,250 ±3.98 1,429 ±4 63.5% 2026-10-02 high
LMArena vision/ocr 1,255 ±4.47 1,428 ±4 15.5% 2026-10-02 high
LMArena vision/diagram 1,265 ±6.41 1,432 ±6 14.7% 2026-10-02 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

A Writing 1,437 [1,431–1,442] Percentile 81 · #51 · components: 2 provisional
Source Component Value Elo-eq Weight Measured Variant
LMArena text/creative_writing 1,427 ±4.10 1,456 ±4 61.8% 2026-10-02 high
LMArena text/longer_query 1,448 ±3.22 1,445 ±3 32.0% 2026-10-02 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

A Language: 繁體中文 1,434 [1,426–1,441] Percentile 81 · #44 · components: 1 provisional
Source Component Value Elo-eq Weight Measured Variant
LMArena text/chinese 1,495 ±5.26 1,449 ±4 93.7% 2026-10-02 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

B Language: Deutsch 1,417 [1,400–1,434] Percentile 66 · #49 · components: 1 provisional
Source Component Value Elo-eq Weight Measured Variant
LMArena text/german 1,439 ±11 1,436 ±10 91.9% 2026-10-02 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

B Language: English 1,427 [1,422–1,432] Percentile 79 · #57 · components: 1 provisional
Source Component Value Elo-eq Weight Measured Variant
LMArena text/english 1,451 ±2.74 1,442 ±3 93.9% 2026-10-02 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

B Language: Español 1,410 [1,395–1,425] Percentile 53 · #71 · components: 1 provisional
Source Component Value Elo-eq Weight Measured Variant
LMArena text/spanish 1,431 ±8.85 1,427 ±8 92.5% 2026-10-02 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

B Language: Français 1,415 [1,398–1,432] Percentile 57 · #59 · components: 1 provisional
Source Component Value Elo-eq Weight Measured Variant
LMArena text/french 1,450 ±10 1,433 ±9 92.0% 2026-10-02 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

A Language: 日本語 1,444 [1,425–1,463] Percentile 87 · #18 · components: 1 provisional
Source Component Value Elo-eq Weight Measured Variant
LMArena text/japanese 1,453 ±14 1,466 ±11 91.4% 2026-10-02 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

B Language: 한국어 1,418 [1,401–1,434] Percentile 67 · #45 · components: 1 provisional
Source Component Value Elo-eq Weight Measured Variant
LMArena text/korean 1,401 ±12 1,436 ±9 92.2% 2026-10-02 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

B Language: Polski 1,424 [1,411–1,438] Percentile 68 · #42 · components: 1 provisional
Source Component Value Elo-eq Weight Measured Variant
LMArena text/polish 1,440 ±8.62 1,442 ±7 92.8% 2026-10-02 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

B Language: Русский 1,424 [1,417–1,431] Percentile 76 · #58 · components: 1 provisional
Source Component Value Elo-eq Weight Measured Variant
LMArena text/russian 1,435 ±4.22 1,439 ±4 93.8% 2026-10-02 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

fedi-index by month
The same in a table
Model 2026-10
GPT-5.1 1,426 A

Badge

Show the model's fedi-index on your site or in a README. The badge updates itself; it links to this page.

fedi-index: GPT-5.1

Data CC BY 4.0: keep the link to fedi.software.