AI model comparison

GLM 4.5 vs Kimi K2 0711

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

GLM-4.5 is our latest flagship foundation model, purpose-built for agent-based applications. It leverages a Mixture-of-Experts (MoE) architecture and supports a context length of up to 128k tokens.

GLM 4.5 is scheduled to be retired on December 31, 2026. Consider GLM 5.3 instead.

Input / 1M
$0.60
Output / 1M
$2.20
Context
131K
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Moonshot AI

Kimi K2 0711

Kimi K2 Instruct is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32 billion active per forward pass.

Input / 1M
$0.57
Output / 1M
$2.30
Context
131K

At a glance

Quick verdict

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

Lower price

moonshotai logo

Kimi K2 0711

1.0x cheaper for a typical chat

Higher intelligence score

z-ai logo

GLM 4.5

12.8 vs 12.7 on Artificial Analysis

Larger context window

Tie

131K vs 131K tokens

Newer release

z-ai logo

GLM 4.5

Released July 25, 2025

Benchmarks

Benchmark scores

Independent scores from Artificial Analysis. Higher is better.

Intelligence index

z-ai logoGLM 4.512.8
moonshotai logoKimi K2 071112.7

Coding index

z-ai logoGLM 4.5Not available
moonshotai logoKimi K2 0711Not available

Agentic index

z-ai logoGLM 4.5Not available
moonshotai logoKimi K2 0711Not available

Pricing

GLM 4.5 vs Kimi K2 0711 API pricing

Per-token API rates. Cheaper option highlighted.

Metricz-ai logoGLM 4.5moonshotai logoKimi K2 0711
Input tokensPer 1M tokens$0.60$0.57
Output tokensPer 1M tokens$2.20$2.30
Cached input (read)Per 1M tokens$0.11Not available
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

z-ai logoGLM 4.5$2.30
moonshotai logoKimi K2 0711$2.29

Coding task

30K in, 4K out

z-ai logoGLM 4.5$26.80$12.10 cached
moonshotai logoKimi K2 0711$26.30

Long document summary

150K in, 2K out

z-ai logoGLM 4.5$94.40$20.90 cached
moonshotai logoKimi K2 0711$90.10

Specs

Context window and capabilities

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

Metricz-ai logoGLM 4.5moonshotai logoKimi K2 0711
Context window131K tokens131K tokens
Max output98K tokens98K tokens
Input typesTextText
Output typesTextText
Reasoning effort levelsNot availableNot available
Default reasoning effortNot availableNot available
Release dateJuly 25, 2025July 11, 2025

Features

Supported features

API features available for each model.

Metricz-ai logoGLM 4.5moonshotai logoKimi K2 0711
Tool callingSupportedSupported
Structured outputsNot supportedNot supported
JSON modeSupportedNot supported
ReasoningSupportedNot supported
TemperatureSupportedSupported
Stop sequencesNot supportedSupported
Deterministic seedNot supportedSupported
Verbosity controlNot supportedNot supported

Our take

Kimi K2 0711 is 1.0x cheaper for a typical chat. GLM 4.5 scores higher on the Artificial Analysis Intelligence Index (12.8 vs 12.7). 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 GLM 4.5 or Kimi K2 0711 cheaper?

Kimi K2 0711 is cheaper for a typical chat (2K input tokens and 500 output tokens). Kimi K2 0711 costs $0.57 per 1M input tokens and $2.30 per 1M output tokens, while GLM 4.5 costs $0.60 per 1M input tokens and $2.20 per 1M output tokens.

Which has a bigger context window, GLM 4.5 or Kimi K2 0711?

GLM 4.5 supports up to 131K tokens of context, compared with 131K for Kimi K2 0711.

Is GLM 4.5 smarter than Kimi K2 0711?

On the Artificial Analysis Intelligence Index, GLM 4.5 scores 12.8 and Kimi K2 0711 scores 12.7, putting GLM 4.5 ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.

Can I use GLM 4.5 and Kimi K2 0711 at the same time?

Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see GLM 4.5 and Kimi K2 0711 answer side by side and keep the better response.

z-ai logomoonshotai logo

Why choose? Ask both.

Send one prompt to GLM 4.5 and Kimi K2 0711 at the same time. Compare the answers side by side and keep the best one.