GPT-6 Luna in fedi-index
The score in every slice, what it is made of, value, local run and history.
fedi-index · General
B 1,419 ±7
Percentile 79 · #62
People prefer / Solves tasks
1,395 / 1,455
Human votes vs benchmarks, Elo-eq
Value
+80
$0.20 per 1M tokens, median of 21 providers · vendor $0.20
On your hardware
Closed weights: cloud only.
Score decomposition
B General 1,419 [1,412–1,426] Percentile 79 · #62 · components: 9
| Source | Component | Value | Elo-eq | Weight | Measured | Variant |
|---|---|---|---|---|---|---|
| Epoch AI |
eci
|
156 ±1.30 | 1,487 ±10 | 31.9% | 2026-09-22 | — |
| LMArena |
text/overall
|
1,391 ±3.33 | 1,392 ±3 | 17.0% | 2026-10-02 | max |
| LMArena |
text/hard_prompts
|
1,413 ±4.04 | 1,406 ±4 | 16.8% | 2026-10-02 | max |
| LMArena |
text/instruction_following
|
1,416 ±5.21 | 1,428 ±5 | 8.0% | 2026-10-02 | max |
| LMArena |
text/expert
|
1,450 ±8.97 | 1,435 ±7 | 7.2% | 2026-10-02 | max |
| LMArena |
text/longer_query
|
1,411 ±4.85 | 1,411 ±4 | 4.1% | 2026-10-02 | max |
| LMArena |
text/multi_turn
|
1,400 ±8.16 | 1,399 ±7 | 3.6% | 2026-10-02 | max |
| Epoch AI |
simpleqa_verified
outlier decay ×0.61 |
0.41 ±0.02 | 1,427 ±5 | 2.1% | 2026-09-22 | max |
| Epoch AI |
gpqa_diamond
decay ×0.26 |
0.90 ±0.02 | 1,460 ±9 | 1.6% | 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 1,424 [1,421–1,427] Percentile 80 · #55 · components: 2 provisional
| Source | Component | Value | Elo-eq | Weight | Measured | Variant |
|---|---|---|---|---|---|---|
| LMArena |
webdev/overall
|
1,579 ±4.34 | 1,472 ±1 | 60.6% | 2026-10-01 | max |
| LMArena |
text/coding
outlier |
1,444 ±6.31 | 1,420 ±6 | 26.7% | 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 Agents 1,437 [1,432–1,442] Percentile 58 · #25 · components: 1 provisional
| Source | Component | Value | Elo-eq | Weight | Measured | Variant |
|---|---|---|---|---|---|---|
| LMArena |
agent/overall
|
0.01 ±0.01 | 1,462 ±3 | 90.3% | 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 1,432 [1,421–1,443] Percentile 86 · #37 · components: 3
| Source | Component | Value | Elo-eq | Weight | Measured | Variant |
|---|---|---|---|---|---|---|
| LMArena |
text/math
|
1,424 ±12 | 1,416 ±12 | 43.4% | 2026-10-02 | max |
| Epoch AI |
frontiermath_t1_3
decay ×0.86 |
0.79 ±0.02 | 1,492 ±5 | 35.9% | 2026-09-22 | max |
| Epoch AI |
frontiermath_t4
decay ×0.86 |
0.56 ±0.08 | 1,482 ±12 | 11.9% | 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 1,386 [1,377–1,394] Percentile 59 · #111 · components: 2 provisional
| Source | Component | Value | Elo-eq | Weight | Measured | Variant |
|---|---|---|---|---|---|---|
| LMArena |
text/creative_writing
|
1,365 ±6.93 | 1,392 ±7 | 59.7% | 2026-10-02 | max |
| LMArena |
text/longer_query
|
1,411 ±4.85 | 1,411 ±4 | 33.4% | 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 1,382 [1,367–1,398] Percentile 49 · #114 · components: 1 provisional
| Source | Component | Value | Elo-eq | Weight | Measured | Variant |
|---|---|---|---|---|---|---|
| LMArena |
text/chinese
|
1,429 ±11 | 1,397 ±9 | 92.3% | 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
B Language: English 1,365 [1,356–1,375] Percentile 52 · #131 · components: 1 provisional
| Source | Component | Value | Elo-eq | Weight | Measured | Variant |
|---|---|---|---|---|---|---|
| LMArena |
text/english
|
1,389 ±5.01 | 1,377 ±5 | 93.4% | 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 1,392 [1,366–1,417] Percentile 43 · #86 · components: 1 provisional
| Source | Component | Value | Elo-eq | Weight | Measured | Variant |
|---|---|---|---|---|---|---|
| LMArena |
text/spanish
|
1,417 ±16 | 1,414 ±14 | 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
B Language: Русский 1,382 [1,368–1,395] Percentile 51 · #116 · components: 1 provisional
| Source | Component | Value | Elo-eq | Weight | Measured | Variant |
|---|---|---|---|---|---|---|
| LMArena |
text/russian
|
1,388 ±8.26 | 1,396 ±7 | 92.8% | 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 Luna | 1,419 B |
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