Kimi K2.7 Code in fedi-index
The score in every slice, what it is made of, value, local run and history.
fedi-index · General
B 1,400 ±11
Percentile 68 · #94 · provisional
People prefer / Solves tasks
— / 1,416
Human votes vs benchmarks, Elo-eq
Value
+9
$1.71 per 1M tokens, median of 47 providers · vendor $1.71
On your hardware
Does not fit the reference setups.
Score decomposition
B General 1,400 [1,390–1,411] Percentile 68 · #94 · components: 3 provisional
| Source | Component | Value | Elo-eq | Weight | Measured | Variant |
|---|---|---|---|---|---|---|
| Epoch AI |
eci
|
150 ±0.92 | 1,438 ±7 | 73.8% | 2026-06-12 | — |
| Epoch AI |
simpleqa_verified
decay ×0.61 |
0.36 ±0.02 | 1,412 ±5 | 8.4% | 2026-08-27 | — |
| Epoch AI |
gpqa_diamond
decay ×0.26 |
0.88 ±0.02 | 1,448 ±11 | 2.6% | 2026-08-07 | — |
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 Coding 1,419 [1,417–1,422] Percentile 77 · #65 · components: 1 provisional
| Source | Component | Value | Elo-eq | Weight | Measured | Variant |
|---|---|---|---|---|---|---|
| LMArena |
webdev/overall
|
1,473 ±4.78 | 1,442 ±1 | 90.5% | 2026-10-01 | — |
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 1,396 [1,387–1,404] Percentile 68 · #82 · components: 2 provisional
| Source | Component | Value | Elo-eq | Weight | Measured | Variant |
|---|---|---|---|---|---|---|
| Epoch AI |
frontiermath_t1_3
decay ×0.86 |
0.54 ±0.03 | 1,438 ±6 | 58.5% | 2026-06-13 | — |
| Epoch AI |
frontiermath_t4
decay ×0.86 |
0.12 ±0.05 | 1,412 ±8 | 26.5% | 2026-06-13 | — |
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 |
|---|---|
| Kimi K2.7 Code | 1,400 B |
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