AI model comparison

GLM 5.1 vs GLM 5V Turbo

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

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

GLM-5V-Turbo is Z.ai’s first native multimodal agent foundation model, built for vision-based coding and agent-driven tasks.

Input / 1M
$1.20
Output / 1M
$4
Context
203K

At a glance

Quick verdict

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

Lower price

z-ai logo

GLM 5.1

1.3x cheaper for a typical chat

Higher intelligence score

z-ai logo

GLM 5.1

26.1 vs 23.5 on Artificial Analysis

Larger context window

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GLM 5.1

205K vs 203K tokens

Newer release

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GLM 5.1

Released April 7, 2026

Benchmarks

Benchmark scores

Independent scores from Artificial Analysis. Higher is better.

Intelligence index

z-ai logoGLM 5.126.1
z-ai logoGLM 5V Turbo23.5

Coding index

z-ai logoGLM 5.155.8
z-ai logoGLM 5V TurboNot available

Agentic index

z-ai logoGLM 5.123.9
z-ai logoGLM 5V TurboNot available

Pricing

GLM 5.1 vs GLM 5V Turbo API pricing

Per-token API rates. Cheaper option highlighted.

Metricz-ai logoGLM 5.1z-ai logoGLM 5V Turbo
Input tokensPer 1M tokens$0.97$1.20
Output tokensPer 1M tokens$3.04$4
Cached input (read)Per 1M tokens$0.18$0.24
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 5.1$3.45
z-ai logoGLM 5V Turbo$4.40

Coding task

30K in, 4K out

z-ai logoGLM 5.1$41.12$17.53 cached
z-ai logoGLM 5V Turbo$52$23.20 cached

Long document summary

150K in, 2K out

z-ai logoGLM 5.1$150.97$32.98 cached
z-ai logoGLM 5V Turbo$188$44 cached

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 5.1z-ai logoGLM 5V Turbo
Context window205K tokens203K tokens
Max output128K tokens131K tokens
Input typesTextImage, Text, Video
Output typesTextText
Reasoning effort levelsNot availableNot available
Default reasoning effortNot availableNot available
Release dateApril 7, 2026April 1, 2026

Features

Supported features

API features available for each model.

Metricz-ai logoGLM 5.1z-ai logoGLM 5V Turbo
Tool callingSupportedSupported
Structured outputsSupportedNot supported
JSON modeSupportedSupported
ReasoningSupportedSupported
TemperatureSupportedSupported
Stop sequencesSupportedNot supported
Deterministic seedSupportedNot supported
Verbosity controlNot supportedNot supported

Our take

GLM 5.1 is 1.3x cheaper for a typical chat. GLM 5.1 scores higher on the Artificial Analysis Intelligence Index (26.1 vs 23.5). GLM 5.1 has the larger context window (205K vs 203K 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 GLM 5.1 or GLM 5V Turbo cheaper?

GLM 5.1 is cheaper for a typical chat (2K input tokens and 500 output tokens). GLM 5.1 costs $0.97 per 1M input tokens and $3.04 per 1M output tokens, while GLM 5V Turbo costs $1.20 per 1M input tokens and $4 per 1M output tokens.

Which has a bigger context window, GLM 5.1 or GLM 5V Turbo?

GLM 5.1 supports up to 205K tokens of context, compared with 203K for GLM 5V Turbo.

Is GLM 5.1 smarter than GLM 5V Turbo?

On the Artificial Analysis Intelligence Index, GLM 5.1 scores 26.1 and GLM 5V Turbo scores 23.5, putting GLM 5.1 ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.

Can I use GLM 5.1 and GLM 5V Turbo at the same time?

Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see GLM 5.1 and GLM 5V Turbo answer side by side and keep the better response.

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Why choose? Ask both.

Send one prompt to GLM 5.1 and GLM 5V Turbo at the same time. Compare the answers side by side and keep the best one.