GDPval-AA v2
reported score
Reported launch score. Public run files and an independent reproduction are still pending.
Current benchmark data gives Kimi K3 a tentative Vibe Coding Index of 67.3, placing it at rank #1.
Tentative estimate. The 67.3 VCI uses the best current source evidence. Intelligence 58.8, Coding 83.9, Agentic 50.7. Every score and rank will update as fresh results arrive.
Current benchmark evidence
Current available data places Kimi K3 at rank #1.
reported score
Reported launch score. Public run files and an independent reproduction are still pending.
reported score
Reported launch score. Public run files and an independent reproduction are still pending.
reported score out of 100
Reported single-agent result with a 1M context window. Independent verification is still pending.
preliminary Elo
Live human-preference WebDev result from 1,757 votes. Arena currently labels this entry Preliminary.
New coding evidence
Six reported coding scores, all run with thinking effort marked “max,” supporting the current #1 placement.
#3 reported
#2 reported
#2 reported
#1 reported
#2 reported
#1 reported
Provenance note, the reported chart is tied to the linked WeChat article and has a public community copy. Public run files and independent reproduction are still pending, Kimi Code Bench 2.0 is explicitly labeled internal.
TheVibeFather rankings
TentativeThis is our tentative algorithmic assessment of where Kimi K3 ranks for common vibe coding and agentic engineering workflows, calculated consistently from the estimated Intelligence, Coding, and Agentic signals above.
Precision on scoped edits, fixes, and implementation tasks.
Front-end implementation with iterative tool-driven refinement.
Diagnosing failures and turning reasoning into correct code changes.
Coordinating larger edits across files while preserving intent.
Reasoning through tradeoffs, constraints, and system-level choices.
Planning and completing multi-step work with tools and feedback loops.
Sustaining coherent progress across longer agentic engineering runs.
Our complete Vibe Coding Index, expressed on the same 0–10 practical scale.
We start with Intelligence, Coding, Agentic benchmark evidence, currently estimated from launch-period results, and preserve missing values as unverified.
Our code-controlled algorithm blends the native 0–100 signals by workflow and expresses the result on a stable 0–10 scale. Every required input must be present.
Each workflow score is ranked against every model with comparable evidence, so positions update when the benchmark field changes.
The Vibe Coding Index is TheVibeFather’s code-controlled 0–100 composite for practical coding and agentic capability. Every score and rank in this Kimi K3 scorecard is tentative until final source indices arrive. Price and adoption are reported independently and never alter quality. Exact weighting remains proprietary, inputs, missing-data behavior, and per-category ranks are disclosed here. Read the benchmark methodology →
Its logo stays full-color and highlighted while the rest of the field recedes for quick comparison.
Alibaba
Amazon
Anthropic
Cohere
DeepSeek
Google
Meta Llama
MiniMax
Mistral
Upstage
Zhipu
xAI
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Model benchmark FAQ
Answers update from this model’s current sourced scores, practical rankings, and verified pricing.
The current tentative profile gives Kimi K3 a 67.3 Vibe Coding Index from Intelligence 58.8, Coding 83.9, and Agentic 50.7. Reported launch results also include 1,687 on GDPval-AA v2 at #3, 1,527 on AA-Briefcase at #2, and 91.2 / 100 on BrowseComp at #1.
The launch-reported coding chart lists 67.5 / 100 on DeepSWE, 68.3 / 100 on Terminal Bench 2.1, 81.2 / 100 on FrontierSWE, 77.8 / 100 on Program Bench, 72.9 / 100 on the internal Kimi Code Bench 2.0, and 42.0 / 100 on SWE Marathon. Public run files and independent reproduction are still pending.
The current multi-source tentative VCI places Kimi K3 at rank #1. Arena Code WebDev currently places it #1 at 1,679 ±17, Arena labels that result preliminary while more votes arrive.
The 67.3 VCI, its three component scores, and the #1 placement remain tentative. The calculation uses the best current source evidence and will update automatically as fresh benchmark snapshots arrive.
OpenRouter currently lists Kimi K3 at $3 per million input tokens and $15 per million output tokens.
Moonshot confirms a 2.8-trillion-parameter model with native visual understanding and a 1M-token context window. OpenRouter also lists the live model and current pricing.