What is the IQ of kimi-k2.7-code?

kimi-k2.7-code has an estimated IQ of 111, which ranks #77 out of 176 public models on the AI IQ leaderboard. The score combines seven equally weighted reasoning dimensions using measured benchmark results and conservative estimates for missing coverage.

What is kimi-k2.7-code best at?

Among the dimensions with published benchmark results, kimi-k2.7-code ranks highest in Academic Reasoning (IQ 127, #67 of 203) and Computer Use (IQ 118, #59 of 176). Its lowest-ranked measured dimension is Programmatic Reasoning (IQ 102, #118 of 177).

What is the EQ of kimi-k2.7-code?

kimi-k2.7-code doesn't have an EQ score yet. EQ (emotional reasoning) is calculated from EQ-Bench 4 and AttuneBench, and neither has published a result for kimi-k2.7-code. AI IQ doesn't estimate EQ from other benchmarks, so the score appears once one of those results is published.

Which benchmarks has kimi-k2.7-code been tested on?

kimi-k2.7-code has published results on 18 of the 39 benchmarks behind AI IQ's Composite IQ, including GPQA Diamond, AA Long Context Reasoning v1.1, CritPt, Humanity's Last Exam and SciCode.

How much does kimi-k2.7-code cost?

kimi-k2.7-code costs $0.95 per million input tokens and $4.00 per million output tokens. Adjusted for how many tokens it actually consumes on real tasks, its effective cost works out to $3.57 per million input-plus-output tokens.

Is kimi-k2.7-code open source?

Yes — kimi-k2.7-code is an open-weights model: its trained weights are published, so it can be downloaded and self-hosted.

Who developed kimi-k2.7-code?

kimi-k2.7-code was developed by Kimi, based in China.

When was kimi-k2.7-code released?

kimi-k2.7-code was publicly released on June 12, 2026.

How large is the context window of kimi-k2.7-code?

kimi-k2.7-code supports a context window of 256,000 tokens — the amount of text it can consider in a single request.

How fast is kimi-k2.7-code?

In independent measurements, kimi-k2.7-code generates about 83 tokens per second, with a typical response time of about 36 seconds.

KimiReleased Jun 12, 2026

Open weights

kimi-k2.7-code

Strongest in Academic Reasoning (#67 of 203) and Computer Use (#59 of 176); weakest in Programmatic Reasoning (#118 of 177). All seven dimensions are measured.

Composite IQ ?

111

#77 of 176 ranked models · ahead of 57%

Kimi's #4 model, behind Kimi K3.1 Pro (132)

Effective cost

$3.57/1M

$0.95 in · $4 out

Speed

83tok/s

36s typical response

Context

256Ktokens

256,000 tokens in

Evidence

7of 7 dims

18 of 39 benchmarks

Compare with gpt-6.1-solAPI pricing

IQ profile

Seven dimensions, averaged equally into Composite IQ

Compare shape with

Measured95% range

#1 in dimensionTop-10 median

IQ dimensions

Ranks are among models scored in each dimension. Ranges are model-based estimates, not calibrated confidence intervals.

DimensionIQPosition · 70–160RankEvidencevs Top 10

Abstract ReasoningAbstract

90measured

#105 / 201

1/5

-36.5

Mathematical ReasoningMath

119measured

#64 / 176

2/5

-28

Academic ReasoningAcademic

127measured

#67 / 203

4/6

-8.5

Programmatic ReasoningCoding

102measured

#118 / 177

2/6

-47.5

Computer UseComputer Use

118measured

#59 / 176

1/5

-25

ReliabilityReliability

111measured

#98 / 177

4/6

-23

Knowledge WorkKnowledge Work

114measured

#64 / 176

4/6

-17.5

kimi-k2.7-code95% range (model-based, uncalibrated)Top-10 median#1 in dimension100 = average human

Benchmark results

18 of 39 Composite IQ benchmarks have a published result for kimi-k2.7-code. Benchmarks without a result stay listed so gaps are visible.

Abstract Reasoning IQ 90 · measuredBest: #51 of 76 on Chess Puzzles1/5

BenchmarkScorePercentileRankLeader · source

Chess Puzzles

Epoch AI vEpoch 100-position leaderboard (task implementation versions recorded per run) · Oct 14

21.0%

#51 / 76

Leader gpt-6-astra · 72.0%
Epoch AI vEpoch 100-position leaderboard (task implementation versions recorded per run) · Oct 14

Not yet reported

ARC-AGI-3ARC-AGI-2ARC-AGI-1Mystery Game Puzzles

Mathematical Reasoning IQ 119 · measuredBest: #46 of 84 on FrontierMath Tier 1-32/5

BenchmarkScorePercentileRankLeader · source

FrontierMath Tier 1-3

Full source leaderboard reconciliation · Oct 23

54.0%

#46 / 84

Leader gpt-6-astra · 93.7%
Full source leaderboard reconciliation · Oct 23

FrontierMath Tier 4

Full source leaderboard reconciliation · Oct 23

12.2%

#55 / 72

Leader gpt-6.1-sol · 100%
Full source leaderboard reconciliation · Oct 23

Not yet reported

ProofBench 1.1MathArenaAIME

Academic Reasoning IQ 127 · measuredBest: #50 of 147 on GPQA Diamond4/6

BenchmarkScorePercentileRankLeader · source

GPQA Diamond

Artificial Analysis v4.3.2 · Oct 27

89.6%

#50 / 147

Leader gpt-6-astra · 96.1%
Artificial Analysis v4.3.2 · Oct 27

CritPt

Artificial Analysis v4.3.2 · Oct 27

10.0%

#63 / 159

Leader Muse Wonder Full · 32.9%
Artificial Analysis v4.3.2 · Oct 27

Humanity's Last Exam

Artificial Analysis v4.3.2 · Oct 27

35.0%

#68 / 167

Leader opus-5.5 · 61.4%
Artificial Analysis v4.3.2 · Oct 27

SciCode

Artificial Analysis v4.3.2 · Oct 27

47.8%

#76 / 167

Leader opus-5.5 · 66.9%
Artificial Analysis v4.3.2 · Oct 27

Not yet reported

MMLU-ProMMMU-Pro

Programmatic Reasoning IQ 102 · measuredBest: #60 of 104 on Terminal-Bench 4.02/6

BenchmarkScorePercentileRankLeader · source

Terminal-Bench 4.0

Artificial Analysis v4.3.2 · Oct 27

1.0%

#60 / 104

Leader Kimi K3.1 Pro · 67.2%
Artificial Analysis v4.3.2 · Oct 27

ProgramBench

Full source leaderboard reconciliation · Oct 23

0.5%

#50 / 61

Leader opus-5.5 · 65.0%
Full source leaderboard reconciliation · Oct 23

Not yet reported

LiveCodeBenchIOI V2SWE-rebenchMirrorCode

Computer Use IQ 118 · measuredBest: #41 of 70 on Arena.ai Agent Arena1/5

BenchmarkScorePercentileRankLeader · source

Arena.ai Agent Arena

Arena.ai Agent Arena · Sep 22

-0.7

#41 / 70

Leader opus-5.5 · 20.9
Arena.ai Agent Arena · Sep 22

Not yet reported

BrowseCompOSWorld-VerifiedMCP AtlasAgents' Last Exam

Reliability IQ 111 · measuredBest: #56 of 154 on AA Long Context Reasoning v1.14/6

BenchmarkScorePercentileRankLeader · source

AA Long Context Reasoning v1.1

Artificial Analysis v4.3.2 · Oct 27

79.3%

#56 / 154

Leader kimi-k3 · 88.7%
Artificial Analysis v4.3.2 · Oct 27

AA Omniscience

Artificial Analysis v4.3.2 · Oct 27

-10.2

#90 / 158

Leader opus-5.5 · 46.4
Artificial Analysis v4.3.2 · Oct 27

SimpleQA Verified

Full source leaderboard reconciliation · Oct 23

36.5%

#53 / 80

Leader Gemini 4 Argon · 76.0%
Full source leaderboard reconciliation · Oct 23

IFBench

Artificial Analysis v4.3.2 · Oct 27

63.1%

#64 / 96

Leader minimax-m3 · 82.9%
Artificial Analysis v4.3.2 · Oct 27

Not yet reported

BullshitBench v2FACTS Grounding

Knowledge Work IQ 114 · measuredBest: #54 of 106 on AutomationBench-AA4/6

BenchmarkScorePercentileRankLeader · source

AutomationBench-AA

Artificial Analysis v4.3.2 · Oct 27

24.5%

#54 / 106

Leader Gemini 4 Argon · 77.5%
Artificial Analysis v4.3.2 · Oct 27

GDPval-AA v2.1 normalized score

Artificial Analysis v4.3.2 · Oct 23

26.8%

#66 / 124

Leader opus-5.5 · 68.3%
Artificial Analysis v4.3.2 · Oct 23

GDP.pdf

Artificial Analysis v4.3.2 · Oct 27

11.2%

#57 / 106

Leader Muse Wonder Full · 32.6%
Artificial Analysis v4.3.2 · Oct 27

AA-Briefcase v1.1 Elo

Artificial Analysis v4.3.2 · Oct 27

858

#67 / 111

Leader sonnet-5.5 · 1,812
Artificial Analysis v4.3.2 · Oct 27

Not yet reported

AA-AnalystAgentEnterpriseOps-Gym-AA

Release & availability

Release details on record for this model.

Released: Jun 12, 2026
Developer: Kimi
Weights: Open weightsDownloadable and self-hostable
Context: 256,000 tokens
API price: $0.95 in · $4 outper 1M tokens · full pricing

About this score

How much of kimi-k2.7-code's IQ is measured, and how the rest is estimated.

18/ 39benchmark results

7/ 7dimensions measured

0estimated

1/5Abstract

2/5Math

4/6Academic

2/6Coding

1/5Computer Use

4/6Reliability

4/6Knowledge Work

Bar height = share of benchmarks with resultsEstimatedNo score

Measured results are shown as published

Every score in the benchmark tables comes from its source unchanged. Composite IQ averages all seven dimensions equally.

How gaps are handled

Every dimension has at least one published result.

A missing result is not a zero

Benchmark versions and evaluation harnesses can differ between sources, so small gaps between models may not be meaningful.

Read the scoring methodology →

Compare kimi-k2.7-code

Side-by-side pages for the models it is most often weighed against.

#1 overall

gpt-6.1-sol

IQ141 30 higherEffective cost$6.30 1.8× pricier

IQ111 same IQEffective cost$6.36 1.8× pricier

Most similar profile

Inkling-Small

IQ110 1 lowerEffective cost$1.24 2.9× cheaper

Similar price

glm-4.7

IQ104 7 lowerEffective cost$3.69 about the same

#2 overall

opus-5.5

IQ141 30 higherEffective cost$35.73 10.0× pricier

kimi-k2.7-codeComparison model

Compare with any modelBrowse all comparisons →

Frequently asked questions

Quick answers about kimi-k2.7-code, drawn from the same data as the rest of this page.

How AI IQ scores models →Get this data from the API →

What is the IQ of kimi-k2.7-code?: kimi-k2.7-code has an estimated IQ of 111, which ranks #77 out of 176 public models on the AI IQ leaderboard. The score combines seven equally weighted reasoning dimensions using measured benchmark results and conservative estimates for missing coverage.
What is kimi-k2.7-code best at?: Among the dimensions with published benchmark results, kimi-k2.7-code ranks highest in Academic Reasoning (IQ 127, #67 of 203) and Computer Use (IQ 118, #59 of 176). Its lowest-ranked measured dimension is Programmatic Reasoning (IQ 102, #118 of 177).
What is the EQ of kimi-k2.7-code?: kimi-k2.7-code doesn't have an EQ score yet. EQ (emotional reasoning) is calculated from EQ-Bench 4 and AttuneBench, and neither has published a result for kimi-k2.7-code. AI IQ doesn't estimate EQ from other benchmarks, so the score appears once one of those results is published.
Which benchmarks has kimi-k2.7-code been tested on?: kimi-k2.7-code has published results on 18 of the 39 benchmarks behind AI IQ's Composite IQ, including GPQA Diamond, AA Long Context Reasoning v1.1, CritPt, Humanity's Last Exam and SciCode.
How much does kimi-k2.7-code cost?: kimi-k2.7-code costs $0.95 per million input tokens and $4.00 per million output tokens. Adjusted for how many tokens it actually consumes on real tasks, its effective cost works out to $3.57 per million input-plus-output tokens.
Is kimi-k2.7-code open source?: Yes — kimi-k2.7-code is an open-weights model: its trained weights are published, so it can be downloaded and self-hosted.
Who developed kimi-k2.7-code?: kimi-k2.7-code was developed by Kimi, based in China.
When was kimi-k2.7-code released?: kimi-k2.7-code was publicly released on June 12, 2026.
How large is the context window of kimi-k2.7-code?: kimi-k2.7-code supports a context window of 256,000 tokens — the amount of text it can consider in a single request.
How fast is kimi-k2.7-code?: In independent measurements, kimi-k2.7-code generates about 83 tokens per second, with a typical response time of about 36 seconds.