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Last scan 2026-09-15 Models tracked 259 Providers 32 Cheapest paid Granite 4.0 H Micro $0.017/Mtok in Every price links to its source

Kimi K2.7 Code

by Moonshot

Current coding open weights mid tier
Email me when Kimi K2.7 Code gets cheaper

Today's price · per 1M tokens

Input

$0.950

per 1M tokens

Output

$4.00

per 1M tokens

Blended

$1.71

blended $/1M — 3:1 weighted input:output

Cached input

$0.190

20% of input — prompt caching

Source: official Moonshot pricing · read MODELPRICEWATCH.COM · 2026-09-15

Price receipt

No confirmed receipt. We hold dated captures of Moonshot's pricing page, but none of them tied Kimi K2.7 Code to the price above on that page, so we do not claim this number is sourced. Check the provider's page directly before relying on it.

Available on 2 hosts

cheapest blended first · $ per 1M tokens

Kimi K2.7 Code is sold by 2 providers. Prices are per 1M tokens (blended = (3×input + 1×output) ÷ 4). The first-party row is the model maker; “vs first-party” shows each host’s blended price relative to it.

Kimi K2.7 Code price on every host still selling it, per 1M tokens, cheapest blended first
Host Input Output Blended vs first-party
Fireworks details → $0.950 $4.00 $1.71 0%
Moonshot first-party $0.950 $4.00 $1.71 —
Each host links to its provider page and official pricing. Prices refresh twice daily. MODELPRICEWATCH.COM · 2026-09-15

Overview

Moonshot's coding-focused 1T-parameter MoE model with a 256K context and forced 'thinking' mode, tuned for agentic coding with ~30% lower reasoning-token use than K2.6. OpenAI-compatible API, Modified-MIT weights. $0.95/$4.00 per 1M tokens.

Run it yourself

Deploy this open model on rented GPUs

Open weights mean you can self-host instead of paying per-token API prices. These platforms let you serve it on demand — often cheaper at scale.

RunPod →
Rent GPUs by the second and serve any open-weight model yourself.
Novita AI →
Serverless open-model inference billed per token — no GPU ops.
Vast.ai →
GPU marketplace — rent spot/on-demand GPUs cheaply and serve any open-weight model.

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Capabilities

struck through = not supported
Input 3/5
Text ✓ Image ✓ Audio Video ✓ PDF
Output 1/5
Text ✓ Image Audio Video Embedding
Features 5/9
Prompt caching ✓ Reasoning Coding ✓ Fast inference Long context ✓ Open weights ✓ Multimodal ✓ Web search Realtime

Benchmark performance

accuracy % · higher is better
Percentile vs all tracked models 48th2 independent measurements
Percentile per $/Mtok 28.1
SWE-Bench Verified vendor
50%
HumanEval vendor
89%

Every per-benchmark score we hold for this model is reported by its own vendor, so none is counted toward an accuracy average or any ranking. The percentile above is its standing across the independent composites below.

Independent composite scores
  • AA Intelligence Index: 26.3 (Artificial Analysis composite across reasoning, knowledge and coding evals)
  • AA-Omniscience Index: -10.2 (−100–100)
How it stacks up
  • Ranks #75 of 181 comparably-measured models by percentile score, across 2 independent measurements
  • Ranks #102 of 181 comparably-tested models by normalized performance per dollar

80 tokens/sec output

Source: Artificial Analysis, Moonshot model card · updated · See full rankings →

Specifications

Provider
Moonshot
Context window
262K tokens
Modality
text, image, video
Parameters
Proprietary
Open source
Yes — open weights available
Released
Status
Current
Last updated
Tags
open-weightscodingcachingmultimodal

Availability verified: — listed on Moonshot's own page

Try on Moonshot Official pricing page