AI model comparison

Kimi K2.7 Code vs GLM 5.1

Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.

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Moonshot AI

Kimi K2.7 Code

MoonshotAI: Kimi K2.7 Code is a coding-focused model in Moonshot AI's Kimi K2 family, built to complete end-to-end programming tasks reliably over long contexts.

Input / 1M
$0.67
Output / 1M
$3.35
Context
262K

GLM-5.1 delivers a major leap in coding capability, with particularly significant gains in handling long-horizon tasks.

Input / 1M
$0.97
Output / 1M
$3.04
Context
205K

At a glance

Quick verdict

How the two models stack up on the things people ask about most.

Lower price

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Kimi K2.7 Code

1.1x cheaper for a typical chat

Higher intelligence score

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GLM 5.1

26.1 vs 25.8 on Artificial Analysis

Larger context window

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Kimi K2.7 Code

262K vs 205K tokens

Newer release

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Kimi K2.7 Code

Released June 12, 2026

Benchmarks

Benchmark scores

Independent scores from Artificial Analysis. Higher is better.

Intelligence index

moonshotai logoKimi K2.7 Code25.8
z-ai logoGLM 5.126.1

Coding index

moonshotai logoKimi K2.7 Code60.8
z-ai logoGLM 5.155.8

Agentic index

moonshotai logoKimi K2.7 Code21
z-ai logoGLM 5.123.9

Pricing

Kimi K2.7 Code vs GLM 5.1 API pricing

Per-token API rates. Cheaper option highlighted.

Metricmoonshotai logoKimi K2.7 Codez-ai logoGLM 5.1
Input tokensPer 1M tokens$0.67$0.97
Output tokensPer 1M tokens$3.35$3.04
Cached input (read)Per 1M tokens$0.18$0.18
Cache writePer 1M tokensNot availableNot available

What it costs in practice

Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.

Chat message

2K in, 500 out

moonshotai logoKimi K2.7 Code$3.02
z-ai logoGLM 5.1$3.45

Coding task

30K in, 4K out

moonshotai logoKimi K2.7 Code$33.54$18.80 cached
z-ai logoGLM 5.1$41.12$17.53 cached

Long document summary

150K in, 2K out

moonshotai logoKimi K2.7 Code$107.38$33.70 cached
z-ai logoGLM 5.1$150.97$32.98 cached

Specs

Context window and capabilities

How much each model can read, how much it can write, and what it accepts as input.

Metricmoonshotai logoKimi K2.7 Codez-ai logoGLM 5.1
Context window262K tokens205K tokens
Max output236K tokens128K tokens
Input typesImage, TextText
Output typesTextText
Reasoning effort levelsNot availableNot available
Default reasoning effortNot availableNot available
Release dateJune 12, 2026April 7, 2026

Features

Supported features

API features available for each model.

Metricmoonshotai logoKimi K2.7 Codez-ai logoGLM 5.1
Tool callingSupportedSupported
Structured outputsSupportedSupported
JSON modeSupportedSupported
ReasoningSupportedSupported
TemperatureSupportedSupported
Stop sequencesSupportedSupported
Deterministic seedSupportedSupported
Verbosity controlNot supportedNot supported

Our take

Kimi K2.7 Code is 1.1x cheaper for a typical chat. GLM 5.1 scores higher on the Artificial Analysis Intelligence Index (26.1 vs 25.8). Kimi K2.7 Code has the larger context window (262K vs 205K tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.

FAQ

Frequently asked questions

Is Kimi K2.7 Code or GLM 5.1 cheaper?

Kimi K2.7 Code is cheaper for a typical chat (2K input tokens and 500 output tokens). Kimi K2.7 Code costs $0.67 per 1M input tokens and $3.35 per 1M output tokens, while GLM 5.1 costs $0.97 per 1M input tokens and $3.04 per 1M output tokens.

Which has a bigger context window, Kimi K2.7 Code or GLM 5.1?

Kimi K2.7 Code supports up to 262K tokens of context, compared with 205K for GLM 5.1.

Is Kimi K2.7 Code smarter than GLM 5.1?

On the Artificial Analysis Intelligence Index, Kimi K2.7 Code scores 25.8 and GLM 5.1 scores 26.1, putting GLM 5.1 ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.

Can I use Kimi K2.7 Code and GLM 5.1 at the same time?

Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Kimi K2.7 Code and GLM 5.1 answer side by side and keep the better response.

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Why choose? Ask both.

Send one prompt to Kimi K2.7 Code and GLM 5.1 at the same time. Compare the answers side by side and keep the best one.