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Model intelligence profile

Kimi K2.7 Code benchmark results and model details

This family profile brings together 7 published benchmark records for Moonshot AI Kimi K2.7 Code. Every result keeps its original benchmark, configuration, scale, and source; unrelated scores are never averaged.

Published benchmark evidence available · Business Skills V3 not yet authorized

Provider

Moonshot AI

Base model family

Release date

Not yet verified

Exact-family source only

Published benchmarks

7

Native scales kept separate

Artificial Analysis

No exact match

As of 2026-07-16

Benchmark-level evidence

Published Kimi K2.7 Code benchmark results

These are individual benchmarks, not collection rollups. Scores remain on their original scales, and agent or harness results stay labelled as system configurations.

How sources are reviewed →

source-native benchmark

Artificial Analysis Intelligence Index

42

A composite index of language-model performance across agentic work, coding, scientific reasoning, knowledge, and long-context reasoning.

1 published configuration

Kimi K2.7 Code

42

Status
Measured
Recorded
30 Jul 2026
Source: Artificial Analysis Recorded 30 Jul 2026 Intelligence Index v4.1 · 2026-07-30 Source record →

source-native benchmark

GDPval-AA v2

34%

Artificial Analysis's agentic evaluation of economically valuable, real-world work tasks based on the GDPval dataset.

1 published configuration

Kimi K2.7 Code

34%

Status
Measured
Recorded
30 Jul 2026
Source: Artificial Analysis Recorded 30 Jul 2026 Independent evaluation · Public leaderboard snapshot · 2026-07-30 Source record →

source-native benchmark

GPQA Diamond

90%

The most challenging subset of Graduate-Level Google-Proof Q&A, focused on scientific reasoning.

1 published configuration

Kimi K2.7 Code

90%

Status
Measured
Recorded
30 Jul 2026
Source: Artificial Analysis Recorded 30 Jul 2026 Independent evaluation · Public leaderboard snapshot · 2026-07-30 Source record →

source-native benchmark

Humanity's Last Exam

33%

A broad expert-level benchmark of difficult academic reasoning and knowledge questions.

1 published configuration

Kimi K2.7 Code

33%

Status
Measured
Recorded
30 Jul 2026
Source: Artificial Analysis Recorded 30 Jul 2026 Independent evaluation · Public leaderboard snapshot · 2026-07-30 Source record →

source-native benchmark

IFBench

63%

An instruction-following benchmark with diverse, verifiable out-of-domain output constraints.

1 published configuration

Kimi K2.7 Code

63%

Status
Measured
Recorded
30 Jul 2026
Source: Artificial Analysis Recorded 30 Jul 2026 Independent evaluation · Public leaderboard snapshot · 2026-07-30 Source record →

source-native benchmark

Terminal-Bench v2.1

67%

A terminal-based agent benchmark covering software engineering, system administration, data processing, model training, and security tasks.

1 published configuration

Kimi K2.7 Code

67%

Status
Measured
Recorded
30 Jul 2026
Source: Artificial Analysis Recorded 30 Jul 2026 Independent evaluation · Public leaderboard snapshot · 2026-07-30 Source record →

source-native benchmark

τ²-Bench Telecom

90%

A legacy agentic tool-use benchmark for conversational work in a telecom environment.

1 published configuration

Kimi K2.7 Code

90%

Status
Measured
Recorded
30 Jul 2026
Source: Artificial Analysis Recorded 30 Jul 2026 Independent evaluation · Public leaderboard snapshot · 2026-07-30 Source record →

Independent operational reference

Artificial Analysis details

No exact, reviewed Artificial Analysis operational record is attached to this family. We do not inherit price, release, or throughput values from a nearby model name.

Early-user signal

Initial community opinions

Anecdotal · never scored

No editor-reviewed community-opinions paragraph is active for this model. An active paragraph requires at least two retained Reddit discussions from the minimum 14-day launch window—implemented exactly as release date through day 14, end-exclusive—plus paraphrase-only review and a sealed publication artifact. Community reports stay separate from every benchmark score and model comparison.

Independent early-test signal

Early technical field tests

X · anecdotal · never scored

An editorial paraphrase of 2 launch-window field tests from 2 independent authors on X, including 2 reports with a described method or inspectable artifact. The window runs from 12 Jun 2026 up to 26 Jun 2026, and exact model identity was editor reviewed.

Early Kimi K2.7 Code evidence covered two distinct evaluations: a real-world engineering benchmark based on whether maintainers would merge generated changes, and a game-oriented reasoning and cost test. Both showed useful coding or reasoning performance, but their task designs and success measures differ substantially. The findings support practical potential without implying uniform behavior across repositories or agents.

These reports are selectively surfaced and are not a representative sample. They never affect benchmark scores, rankings, winners, or comparison outcomes.

Business Skills V3 · proposed

How Spring Prompt plans to test Kimi K2.7 Code

The setup below is proposed and may change until preflight and execution approval are complete. Existing benchmark evidence above does not authorize or stand in for a Business Skills V3 result.

Proposed reasoning
Provider-default reasoning
Provider revision
Exact provider revision will be resolved and frozen only after preflight and execution approval
Tools and service
No tools · Provider-default service tier
Planning configuration
kimi-k2.7-code
Generation controls
Temperature 0 proposed

Future first-party coverage

15 proposed Business Skills V3 task areas

These links describe evaluation contracts, not published Kimi K2.7 Code results.

Model comparisons

Compare Kimi K2.7 Code side by side

Editorially reviewed comparisons appear first. Every page matches only benchmark records with the same reviewed protocol key and does not manufacture an overall winner.

Publication safeguards

What must pass before a V3 result appears

  1. 1First-party task-local comparisons and eligible external evidence must both be present.
  2. 2Model and provider configuration identity must match the reviewed release exactly.
  3. 3Coverage, reliability, judge diagnostics, and sealed stability checks must pass.
  4. 4Uncertainty and missing evidence remain visible when results are published.

Stable family URL

Evidence can grow without changing the page

New reviewed benchmark snapshots, operational facts, community themes, and early field-test syntheses can be added here while the canonical model-family identity remains fixed.

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