GPT-6 Sol in fedi-index
The score in every slice, what it is made of, value, local run and history.
fedi-index · General
A 1,434 ±8
Percentile 84 · #49
People prefer / Solves tasks
1,397 / 1,494
Human votes vs benchmarks, Elo-eq
Value
+22
$4 per 1M tokens, median of 22 providers · vendor $4
On your hardware
Closed weights: cloud only.
Score decomposition
A General 1,434 [1,426–1,441] Percentile 84 · #49 · components: 9
| Source | Component | Value | Elo-eq | Weight | Measured | Variant |
|---|---|---|---|---|---|---|
| Epoch AI |
eci
|
163 ±1.66 | 1,538 ±13 | 27.6% | 2026-09-22 | — |
| LMArena |
text/overall
|
1,395 ±3.54 | 1,395 ±4 | 17.5% | 2026-10-02 | max |
| LMArena |
text/hard_prompts
|
1,419 ±4.34 | 1,412 ±4 | 17.3% | 2026-10-02 | max |
| LMArena |
text/instruction_following
|
1,413 ±5.66 | 1,425 ±5 | 8.2% | 2026-10-02 | max |
| LMArena |
text/expert
|
1,439 ±9.92 | 1,426 ±8 | 7.2% | 2026-10-02 | max |
| Epoch AI |
simpleqa_verified
decay ×0.61 |
0.61 ±0.02 | 1,488 ±5 | 4.5% | 2026-09-22 | max |
| LMArena |
text/longer_query
|
1,414 ±5.24 | 1,413 ±5 | 4.2% | 2026-10-02 | max |
| LMArena |
text/multi_turn
|
1,413 ±8.43 | 1,411 ±8 | 3.7% | 2026-10-02 | max |
| Epoch AI |
gpqa_diamond
decay ×0.26 |
0.94 ±0.01 | 1,478 ±7 | 1.8% | 2026-09-22 | max |
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 Coding 1,444 [1,440–1,448] Percentile 91 · #25 · components: 2 provisional
| Source | Component | Value | Elo-eq | Weight | Measured | Variant |
|---|---|---|---|---|---|---|
| LMArena |
webdev/overall
|
1,689 ±5.84 | 1,503 ±2 | 60.7% | 2026-10-01 | max |
| LMArena |
text/coding
outlier |
1,448 ±6.78 | 1,424 ±6 | 26.5% | 2026-10-02 | max |
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 Agents 1,470 [1,460–1,480] Percentile 90 · #7 · components: 1 provisional
| Source | Component | Value | Elo-eq | Weight | Measured | Variant |
|---|---|---|---|---|---|---|
| LMArena |
agent/overall
|
0.10 ±0.01 | 1,502 ±6 | 89.3% | 2026-10-02 | max |
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 Math 1,447 [1,436–1,458] Percentile 90 · #26 · components: 3
| Source | Component | Value | Elo-eq | Weight | Measured | Variant |
|---|---|---|---|---|---|---|
| LMArena |
text/math
|
1,407 ±14 | 1,400 ±13 | 38.6% | 2026-10-02 | max |
| Epoch AI |
frontiermath_t1_3
decay ×0.86 |
0.90 ±0.02 | 1,516 ±4 | 37.4% | 2026-09-22 | max |
| Epoch AI |
frontiermath_t4
decay ×0.86 |
0.90 ±0.05 | 1,536 ±8 | 15.3% | 2026-09-22 | max |
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 Writing 1,397 [1,388–1,406] Percentile 64 · #98 · components: 2 provisional
| Source | Component | Value | Elo-eq | Weight | Measured | Variant |
|---|---|---|---|---|---|---|
| LMArena |
text/creative_writing
|
1,382 ±7.40 | 1,410 ±8 | 59.4% | 2026-10-02 | max |
| LMArena |
text/longer_query
|
1,414 ±5.24 | 1,413 ±5 | 33.7% | 2026-10-02 | max |
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: 繁體中文 1,362 [1,345–1,379] Percentile 42 · #130 · components: 1 provisional
| Source | Component | Value | Elo-eq | Weight | Measured | Variant |
|---|---|---|---|---|---|---|
| LMArena |
text/chinese
|
1,403 ±12 | 1,376 ±9 | 92.0% | 2026-10-02 | max |
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 1,374 [1,364–1,384] Percentile 55 · #123 · components: 1 provisional
| Source | Component | Value | Elo-eq | Weight | Measured | Variant |
|---|---|---|---|---|---|---|
| LMArena |
text/english
|
1,398 ±5.37 | 1,386 ±6 | 93.3% | 2026-10-02 | max |
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: Español 1,361 [1,334–1,387] Percentile 26 · #111 · components: 1 provisional
| Source | Component | Value | Elo-eq | Weight | Measured | Variant |
|---|---|---|---|---|---|---|
| LMArena |
text/spanish
|
1,381 ±17 | 1,381 ±15 | 88.7% | 2026-10-02 | max |
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 1,399 [1,385–1,414] Percentile 60 · #93 · components: 1 provisional
| Source | Component | Value | Elo-eq | Weight | Measured | Variant |
|---|---|---|---|---|---|---|
| LMArena |
text/russian
|
1,409 ±8.84 | 1,415 ±8 | 92.6% | 2026-10-02 | max |
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-6 Sol | 1,434 A |
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