Kimi K2.7 Code kimi-k2.7-code

moonshotai · kimi coding flagship agentic

#7 overall

params
1059B (A32B)
arch
moe
context
256k
license
modified-mit open weights
released
Jun 2026
reasoning
yes
downloads/30d
223.1k

# architecture

attn shared · reasoning MHA ×64 router top-8 of 384 +1 shared expert ×384 expert out ×61 layers ctx 262,144 1059B pool · A32B/token
layers
61
d_model
7168
heads
64q / 64kv
head dim
112
experts
top-8 of 384 + 1 shared
vocab
163840
family
kimi_k2

signal path of one layer, generated from the registry's structured fields — dimension lines quote the model's real numbers; an MoE trace forks at the router, a dense trace runs straight through. Geometry fields come from the repo's config.json.

# why ranked

Overall: #7 — score 90.0 ● high — all signals present

signalweightinput (0–100)
aa_intelligence 0.70 89.7
bench_composite 0.30 90.7

benchmark panel evidence:

complete panelscore (0–100)
livebench-v190.7

Coding: provisional — score 84.2 ● low — a single signal; treat with caution

provisional: too few independent signals for a numbered position — the score is shown, but this model sorts after every ranked model.

signalweightinput (0–100)
aa_coding 0.30 84.2
aider_polyglot 0.30
swe_bench_verified 0.40

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

full methodology

# trend

OGM score · last 55 days
OGM score over 55 days
overall rank (up is better)
Overall rank over 55 days

methodology changed during this history window; score movement across that boundary is not model movement. See methodology v5.

# benchmarks

benchmarkscoresourcedate
AA Coding Index 60.8 Artificial Analysis
AA Intelligence Index 33.9 Artificial Analysis
LMArena Elo (Code) 1472.0 LMArena Sep 2026
LiveBench Agentic Coding 45.7 LiveBench Jun 2026
LiveBench Coding 74.0 LiveBench Jun 2026
LiveBench Data Analysis 62.7 LiveBench Jun 2026
LiveBench IF 56.3 LiveBench Jun 2026
LiveBench Language 77.9 LiveBench Jun 2026
LiveBench Mathematics 79.6 LiveBench Jun 2026
LiveBench Reasoning 82.8 LiveBench Jun 2026

# where to run

providerquantctx$/M in$/M out$/M cacheprice srctpsuptime
Featherless via hfrouter
Nebius nebius
StreamLakeunknown 250k $0.71$3.00$0.14 via openrouter 99.9%
Inceptronint4 256k $0.66$3.40$0.18 via openrouter 99.8%
DeepInfrafp4 256k $0.68$3.40 deepinfra 99.8%
CoreWeaveint4 256k $0.71$3.50$0.15 via openrouter 100.0%
Wandb 256k $0.71$3.50 via litellm
Veniceint4 250k $0.75$3.50 venice 97.5%
ModelRunfp4 256k $0.85$3.75$0.16 via openrouter 100.0%
SiliconFlowfp8 256k $0.86$3.80$0.18 openrouter 100.0%
Alibabafp8 256k $0.95$4.00$0.19 via openrouter 100.0%
AtlasCloudint4 256k $0.95$4.00 atlascloud
Azure 256k $0.95$4.00$0.19 via modelsdev
BaseTenfp4 262k $0.95$4.00$0.16 via openrouter 100.0%
Cloudflareunknown 256k $0.95$4.00$0.19 via openrouter 99.7%
Fireworksunknown 256k $0.95$4.00$0.19 via openrouter 97.5%
GMICloudfp8 256k $0.95$4.00$0.19 via openrouter 97.9%
Moonshot AIint4 256k $0.95$4.00$0.19 via openrouter 100.0%
Novitaint4 256k $0.95$4.00 novita 100.0%
Phala 256k $0.95$4.00 phala
Qwen Ai Platform 224k $0.95$4.00 via litellm
Qwencloud 224k $0.95$4.00 via litellm
Togetherunknown 256k $0.95$4.00$0.19 via openrouter
Moonshot AIint4 256k $1.90$8.00$0.38 via openrouter 100.0%

sorted by blended price ((3·input + output) / 4 per 1M) · ✓ = the provider's own catalog confirms the offer · "via …" prices are what the aggregator routing the offer charges, not the provider's own list price

source aliases
aa
kimi-k2.7-code
openrouter
moonshotai/kimi-k2.7-code