Moonshot AI·#11 of 352 on the current board·cheaper than #10 Gemini 3.1 Pro Preview
Kimi K3 is a language model from Moonshot AI. It ranks #11 of 352 on ModelCap's current board, with an Index score of 80.8, measured on 4 public benchmarks. Its score range of 76.2–85.4 spans positions #5–#26. It is listed at $0.192 per million input tokens and $16.00 per million output tokens across 21 providers. It reads up to 1M tokens of context, and its weights are downloadable under a use-restricted licence.
Figures as of 6 Nov 2026, 13:52 UTC · download the public dataset · methodology
Provider economics and telemetry published by the Hugging Face Router. These are operational signals, not benchmark results.
Published Max, X-High, High and other configurations for this model. These are sourced scores, not head-to-head essays.
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.
Showing 20 of 56 rows.
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.
Not yet published: the base model it derives from, a link to the licence terms, pinned evaluation dataset versions.
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.
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.
moonshotai/kimi-k3OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. OpenRouter metadata
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 #11 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 K3 holds ModelCap Index position #11 of 352 ranked language models as of 6 November 2026, with an Index score of 80.8 (interval 76.2–85.4); evidence: measured. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.
Kimi K3 is listed at $0.192 per 1M input tokens and $16.00 per 1M output tokens as of 6 November 2026; the lowest output price among 21 providers is $9.34 on Relace. 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 $8.38 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 K3 has a published context window of 1M tokens (1,048,576). The snapshot lists a 943,718 token catalogue-declared route output cap. OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. The providers table lists each endpoint's context limit.
Restricted license (kimi-k3). 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-K3 on Hugging Face.
21 providers serve Kimi K3 through OpenRouter as of 6 November 2026: Relace, Wafer, InferenceNet, Sail Research, Makora and ParetoAlpha and 15 more. Each provider's price, context limit, quantization and measured uptime are in the providers table above.
Kimi K3 has published results on 5 public boards tracked by ModelCap as of 6 November 2026: Arena text 1488 (#19 of 419), Arena coding 1540 (#13 of 414), LMArena Agent 0.8% (#25 of 58), ARC-AGI-2 60.4% (#86 of 280) and WildClawBench OpenClaw 54.5 (#9 of 34). Each board page ranks every tracked model on that benchmark. The ModelCap Index scores the results its methodology admits, with published uncertainty, and shows reference boards without scoring them.
Kimi K3 ranks #11 (Index 80.8) and Gemini 3.1 Pro Preview ranks #10 (Index 80.9) on the ModelCap Index as of 6 November 2026. The head-to-head page lines up their benchmarks, listed prices, context windows and provider counts side by side.
Kimi K3 first appeared in the catalogue on 16 Jul 2026. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.