AI model comparison

GPT-6.1 Terra vs GLM 5.3

Side by side comparison of GPT-6.1 Terra and GLM 5.3 on pricing, benchmark scores, context window, and more.

GPT-6.1 Terra is the mid-tier model in OpenAI's GPT-6.1 series, priced below GPT-6.1 Sol.

Input / 1M
$1
Output / 1M
$5
Context
1.05M

GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks.

Input / 1M
$0.07
Output / 1M
$1.40
Context
1.05M

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At a glance

Quick verdict

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

Lower price

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GLM 5.3

5.4x cheaper for a typical chat

Higher intelligence score

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GPT-6.1 Terra

48.1 vs 44.8 on Artificial Analysis

Larger context window

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GPT-6.1 Terra

1.05M vs 1.05M tokens

Newer release

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GPT-6.1 Terra

Released October 26, 2026

Benchmarks

Benchmark scores

Independent scores from Artificial Analysis. Higher is better.

Intelligence index

openai logoGPT-6.1 Terra48.1
z-ai logoGLM 5.344.8

Coding index

openai logoGPT-6.1 TerraNot available
z-ai logoGLM 5.374.8

Agentic index

openai logoGPT-6.1 TerraNot available
z-ai logoGLM 5.353.1

Pricing

GPT-6.1 Terra vs GLM 5.3 API pricing

Per-token API rates. Cheaper option highlighted.

Metricopenai logoGPT-6.1 Terraz-ai logoGLM 5.3
Input tokensPer 1M tokens$1$0.07
Output tokensPer 1M tokens$5$1.40
Cached input (read)Per 1M tokens$0.05$0.07
Cache writePer 1M tokens$1.25Not available
Long-context pricingPer 1M tokens, for very long prompts$2 in / $7.50 out above 272KSame rate at any length
Web searchPer request$0.01Not 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

openai logoGPT-6.1 Terra$4.50
z-ai logoGLM 5.3$0.84

Coding task

30K in, 4K out

openai logoGPT-6.1 Terra$50$21.50 cached
z-ai logoGLM 5.3$7.70$7.67 cached

Long document summary

150K in, 2K out

openai logoGPT-6.1 Terra$160$17.50 cached
z-ai logoGLM 5.3$13.29$13.14 cached

Specs

Context window and capabilities

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

Metricopenai logoGPT-6.1 Terraz-ai logoGLM 5.3
Context window1.05M tokens1.05M tokens
Max output128K tokens944K tokens
Input typesFile, Image, TextText
Output typesTextText
Reasoning effort levelsMax, Extra high, High, Medium, Low, NoneMax, High, Low
Default reasoning effortMediumMax
Release dateOctober 26, 2026August 18, 2026

Features

Supported features

API features available for each model.

Metricopenai logoGPT-6.1 Terraz-ai logoGLM 5.3
Tool callingSupportedSupported
Structured outputsSupportedSupported
JSON modeSupportedSupported
ReasoningSupportedSupported
TemperatureNot supportedSupported
Stop sequencesNot supportedSupported
Deterministic seedSupportedSupported
Verbosity controlSupportedNot supported

Our take

GLM 5.3 is 5.4x cheaper for a typical chat. GPT-6.1 Terra scores higher on the Artificial Analysis Intelligence Index (48.1 vs 44.8). GPT-6.1 Terra has the larger context window (1.05M vs 1.05M 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 GPT-6.1 Terra or GLM 5.3 cheaper?

GLM 5.3 is cheaper for a typical chat (2K input tokens and 500 output tokens). GLM 5.3 costs $0.07 per 1M input tokens and $1.40 per 1M output tokens, while GPT-6.1 Terra costs $1 per 1M input tokens and $5 per 1M output tokens.

Which has a bigger context window, GPT-6.1 Terra or GLM 5.3?

GPT-6.1 Terra supports up to 1.05M tokens of context, compared with 1.05M for GLM 5.3.

Is GPT-6.1 Terra smarter than GLM 5.3?

On the Artificial Analysis Intelligence Index, GPT-6.1 Terra scores 48.1 and GLM 5.3 scores 44.8, putting GPT-6.1 Terra ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.

Can I use GPT-6.1 Terra and GLM 5.3 at the same time?

Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see GPT-6.1 Terra and GLM 5.3 answer side by side and keep the better response.

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Why choose? Ask both.

Send one prompt to GPT-6.1 Terra and GLM 5.3 at the same time. Compare the answers side by side and keep the best one.