Skip to content
Model Pareto

Kimi K2.7 Code

Moonshot AI (Kimi)Open weightsartificialanalysis.ai ↗
Input
$0.95/M tok
Output
$4.00/M tok
Blended
$1.712/M tok · 3:1
Speed
66tok/s
Context
256Ktokens

Long-tail import from Artificial Analysis (2026-09-24); AA variant: Kimi K2.7 Code. Price = AA median host price. Card: "adopts the same native int4 quantization method as Kimi-K2-Thinking".

Rankings

Self-hostingEstimated

How we estimate →

What it would cost to run these open weights yourself on rented GPUs, compared with the API price above.

Hardware
16× H200 141GB
FP8 weights
Throughput
~26,263 tok/s
many requests batched
Price
$0.28–2.34 /M tok
busy → light use
On your own machine
Too large
needs data-center GPUs
Assumptions (5)
  • FP8 weights (1000B params, 32B active per token) + 25% KV-cache headroom ≈ 1250 GB
  • 16× H200 141GB at $3.59–$7.91/GPU-hour on-demand (2026-09-24)
  • ~26,263 output tok/s aggregate at batch 1111 (bandwidth-bound); MoE compute scales with active params
  • Blended 3:1 input:output; prefill ~198,704 tok/s
  • Low = 75% utilization at the low GPU price; high = 20% at the high price

Benchmark scores

~ italic, dashed = no published score yet, estimated from related benchmarks.

Coding

~#8 of 14 (estimated)~76.8%
  1. #1Claude Opus 596.0%
  2. #2Claude Sonnet 585.2%
  3. #6Mistral Medium 3.577.6%
  4. ~#8Kimi K2.7 CodeEstimated76.8%
  5. #8Muse Glimmer76.0%
No published score — estimated from related benchmarks
~#14 of 19 (estimated)~56.0%
  1. #1Claude Opus 5.589.9%
  2. #2Claude Sonnet 5.581.3%
  3. #13Hy357.9%
  4. ~#14Kimi K2.7 CodeEstimated56.0%
  5. #14Inkling54.3%
No published score — estimated from related benchmarks
DeepSWE v1.1Estimated
~#27 of 31 (estimated)~53.9%
  1. #1DeepSeek V4.1 Flash74.2%
  2. #2Grok 4.772.6%
  3. #26Nex-N2.5-Pro55.8%
  4. ~#27Kimi K2.7 CodeEstimated53.9%
  5. #27Qwen3.8 Max (0902)51.0%
No published score — estimated from related benchmarks
LiveCodeBenchEstimated
~#8 of 20 (estimated)~77.6%
  1. #1Qwen3.8-Omni-Flash92.6%
  2. #2Qwen3.8 Flash-Next91.9%
  3. #7gpt-oss-20b77.7%
  4. ~#8Kimi K2.7 CodeEstimated77.6%
  5. #8Mistral Small 464.0%
No published score — estimated from related benchmarks
~last of 15 (estimated)below measured range (<41.1)
  1. #1Claude Opus 5.566.0
  2. #2Claude Fable 5.162.2
  3. #14GPT-6 Luna41.1
  4. ~#15Kimi K2.7 CodeEstimated<41.1
No published score — estimated from related benchmarks

Writing & chat

Hard reasoning

Agents