CURATED MODEL COMPARISON

Kimi K3 vs Kimi K2.7 Code

Kimi K3 vs Kimi K2.7 Code: Compare coding-oriented candidates, then validate repository context, tool use, correctness, and latency on the same task set. Compare exact official model IDs using published signals, provider links, and clearly separated family-level guidance.

Updated:

Published data side by side

Each value keeps its original source and scale. Missing data is not treated as zero, and OpenGPT does not create a composite winner.

Kimi K3 vs Kimi K2.7 Code
Ranking angleKimi K3Kimi K2.7 Code
User preferenceNo linked comparable dataNo linked comparable data
Intelligence indexNo linked comparable dataNo linked comparable data
Objective tasksRank 5Published value: 79.2Original ranking: LiveBenchOfficial identity mappingResearch edition: 2026-08 · Aug 8, 2026No linked comparable data
Cost per successful taskNo linked comparable dataRank 9Published value: $0.1002Original ranking: LiveBenchOfficial identity mappingResearch edition: 2026-08 · Aug 8, 2026
Open-weight modelsRank 1Published value: 79.2Original ranking: LiveBenchOfficial identity mappingResearch edition: 2026-08 · Aug 8, 2026No linked comparable data

This page organizes published third-party data. OpenGPT did not rerun the underlying evaluations.

What to validate

These strengths and limits describe the wider model family from official positioning, not measured results for this exact version.

Moonshot AI

Kimi K3

kimi-k3

Family strengths

Hosted APIs emphasize long documents and Chinese-language use. Provides reasoning and tool-oriented model options.

Family limitations

Closed hosted access limits deployment control. Availability, naming, and features can vary by region and platform version.

Moonshot AI

Kimi K2.7 Code

kimi-k2.7-code

Family strengths

Hosted APIs emphasize long documents and Chinese-language use. Provides reasoning and tool-oriented model options.

Family limitations

Closed hosted access limits deployment control. Availability, naming, and features can vary by region and platform version.

Continue with your decision

Use the interactive matrix to add more models, then validate the final two on your own prompts and constraints.