Kimi K2 Instruct 0905 kimi-k2-0905

moonshotai · kimi agentic

#13 overall #3 coding #1 agentic

params
1000B (A32B)
arch
moe
context
256k
license
modified-mit open weights
released
Sep 2025
downloads/30d
1.1M

# why ranked

Overall: #13 — score 23.5 ● low — a single signal; treat with caution

signalweightinput (0–100)
aa_intelligence 0.50 23.5
arena_elo 0.30
bench_composite 0.20

missing signals are dropped and the remaining weights renormalized — never imputed.

Coding: #3 — score 100.0 ● low — a single signal; treat with caution

signalweightinput (0–100)
aa_coding 0.25
aider_polyglot 0.25
arena_elo_code 0.15
swe_bench_verified 0.35 100.0

missing signals are dropped and the remaining weights renormalized — never imputed.

Agentic: #1 — score 100.0 ● low — a single signal; treat with caution

signalweightinput (0–100)
swe_bench_verified 1.00 100.0

full methodology

# trend

OGM score · last 2 days
OGM score over 2 days
overall rank (up is better)
Overall rank over 2 days

# benchmarks

benchmarkscoresourcedate
AA Intelligence Index 23.5 Artificial Analysis
AA Math Index 57.3 Artificial Analysis
SWE-bench Verified 71.2 SWE-bench Oct 2025

# where to run

providerquantctx$/M in$/M out$/M blendtpsuptime
Novitafp8 256k $0.60$2.50$1.07 98.7%
Groqunknown 256k $1.00$3.00$1.50 100.0%

blended = (3·input + output) / 4 per 1M tokens · cheapest first

source aliases
aa
kimi-k2-0905
openrouter
moonshotai/kimi-k2-0905
swebench
kimi-k2-0905-preview