Moonshot AI·moonshotai/kimi-k2.7-code
Kimi K2.7 Code is ModelCap current-board rank #46 with Index 65.2 (Measured), from the ModelCap Index as of 22 Sept 2026, 02:49 UTC.
Kimi K2.7 Code listed OpenRouter input price is $0.706 per 1M tokens and listed output price is $3.21 per 1M tokens, from OpenRouter listed prices as of 22 Sept 2026, 02:49 UTC.
Kimi K2.7 Code has a published context limit of 262K tokens in the ModelCap catalogue as of 22 Sept 2026, 02:49 UTC.
Kimi K2.7 Code has 15 published OpenRouter serving endpoints, from OpenRouter as of 22 Sept 2026, 02:49 UTC.
Kimi K2.7 Code weight access is restricted license, from ModelCap classification of published repository metadata as of 22 Sept 2026, 02:49 UTC.
Snapshot facts · download the public dataset · methodology
Provider economics and telemetry published by the Hugging Face Router. These are operational signals, not benchmark results.
Structured rows reported in this exact model repository at the pinned revision below. They are the publisher talking about itself: never measured evidence, never a score input on their own. They remain quarantined until dataset revision, harness, configuration and identity pass ModelCap’s independent admission review.
BES normalizes admitted public benchmark evidence for measured Index rows. Its legacy score and observables prior do not define the public language rank.
These adoption and deployment observations remain context only. They do not change this model's ModelCap Index score or rank.
The bounded 0–100 capability score blends each source’s competitive placement with its published achievement, then combines capability families. Evidence breadth adds a modest uncertainty adjustment; price and popularity are not part of benchmark-led rank.
Missing: artifactReproducibility.base-lineage, accessLegalClarity.resolvable-license-terms, evaluationProvenance.evaluation-dataset-revisions.
A metadata completeness and deployability index—not a safety certification, quality grade, or production-readiness claim.
Market Gravity uses OpenRouter’s full-catalogue popularity order. Sparse Vercel top-ten observations appear only when published and do not affect the score.
This model is visible because it is available in the live catalogue, but it has no trustworthy community result yet. ModelCap does not infer a quality score from price, features, or market activity.
OpenRouter weekly popularity across the full model catalogue.
Independent providers versus the model's open or closed cohort, weighted by uptime.
Hugging Face 30-day downloads for open models; neutral for closed models.
Time since first public availability, on a six-month half-life.
Restricted license. Downloadable weights use a model-specific or use-restricted license. Review the linked license before use, redistribution, or commercial deployment.
Models within 3 places of #46 on the ModelCap Index.
Index score within 3 points of, or above, this model's, with a lower listed blended price (3:1 input:output).
The same publisher's other current models with a public Index position.
Kimi K2.7 Code holds ModelCap Index position #46 of 248 ranked language models as of 22 September 2026, with an Index score of 65.2 (interval 45.5–84.9); evidence: measured. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.
Kimi K2.7 Code is listed at $0.706 per 1M input tokens and $3.21 per 1M output tokens as of 22 September 2026; the lowest output price among 14 providers is $3.00 on StreamLake. Prices come from the OpenRouter catalogue and re-observe on every refresh. For 1,000 requests using 2,000 input and 500 output tokens each, the listed rates imply $3.02 total (2M input + 0.5M output). This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the chosen endpoint's rate and limits before budgeting.
Kimi K2.7 Code has a published context window of 262K tokens (262,144) and a maximum output of 236K tokens. Individual providers can serve less than the published maximum; the providers table lists each endpoint's own limit.
Restricted license (modified-mit). Downloadable weights use a model-specific or use-restricted license. Review the linked license before use, redistribution, or commercial deployment. The repository is moonshotai/Kimi-K2.7-Code on Hugging Face.
14 providers serve Kimi K2.7 Code through OpenRouter as of 22 September 2026: DeepInfra, Inceptron, CoreWeave, StreamLake, Venice and ModelRun and 8 more. Each provider's price, context limit, quantization and measured uptime are in the providers table above.
Kimi K2.7 Code has published results on 4 public boards tracked by ModelCap as of 22 September 2026: AA Intelligence Index 25.8 (#83 of 151), AA τ²-Bench Telecom 90.1% (#68 of 436), AA Humanity's Last Exam 35.0% (#89 of 615) and WildClawBench OpenClaw 46.9 (#17 of 34). Each board page ranks every tracked model on that benchmark; the ModelCap Index combines them with published uncertainty.
Kimi K2.7 Code ranks #46 (Index 65.2) and Ling 3.0 Flash VL ranks #47 (Index 65.2) on the ModelCap Index as of 22 September 2026. The head-to-head page lines up their benchmarks, listed prices, context windows and provider counts side by side.
Kimi K2.7 Code first appeared in the catalogue on 12 Jun 2026. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.