AI model comparison

GPT-6.1 Terra vs Hy4 preview

Side by side comparison of GPT-6.1 Terra and Hy4 preview 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

Tencent: Hy4 preview is a mixture-of-experts model from Tencent, with 49B active parameters out of 770B total.

Input / 1M
$0.83
Output / 1M
$2.50
Context
1.05M

Comparing image generators? Compare image models

At a glance

Quick verdict

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

Lower price

tencent logo

Hy4 preview

1.5x cheaper for a typical chat

Higher intelligence score

Not available

Not enough benchmark data

Larger context window

openai logo

GPT-6.1 Terra

1.05M vs 1.05M tokens

Newer release

openai logo

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 Terra51
tencent logoHy4 previewNot available

Coding index

openai logoGPT-6.1 TerraNot available
tencent logoHy4 previewNot available

Agentic index

openai logoGPT-6.1 TerraNot available
tencent logoHy4 previewNot available

Pricing

GPT-6.1 Terra vs Hy4 preview API pricing

Per-token API rates. Cheaper option highlighted.

Metricopenai logoGPT-6.1 Terratencent logoHy4 preview
Input tokensPer 1M tokens$1$0.83
Output tokensPer 1M tokens$5$2.50
Cached input (read)Per 1M tokens$0.05$0.04
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
tencent logoHy4 preview$2.92

Coding task

30K in, 4K out

openai logoGPT-6.1 Terra$50$21.50 cached
tencent logoHy4 preview$35.02$11.26 cached

Long document summary

150K in, 2K out

openai logoGPT-6.1 Terra$160$17.50 cached
tencent logoHy4 preview$130.10$11.30 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 Terratencent logoHy4 preview
Context window1.05M tokens1.05M tokens
Max output128K tokens64K tokens
Input typesFile, Image, TextText
Output typesTextText
Reasoning effort levelsMax, Extra high, High, Medium, Low, NoneHigh, Low, None
Default reasoning effortMediumHigh
Release dateOctober 26, 2026August 28, 2026

Features

Supported features

API features available for each model.

Metricopenai logoGPT-6.1 Terratencent logoHy4 preview
Tool callingSupportedSupported
Structured outputsSupportedSupported
JSON modeSupportedSupported
ReasoningSupportedSupported
TemperatureNot supportedSupported
Stop sequencesNot supportedSupported
Deterministic seedSupportedSupported
Verbosity controlSupportedNot supported

Our take

Hy4 preview is 1.5x cheaper for a typical chat. 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 Hy4 preview cheaper?

Hy4 preview is cheaper for a typical chat (2K input tokens and 500 output tokens). Hy4 preview costs $0.83 per 1M input tokens and $2.50 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 Hy4 preview?

GPT-6.1 Terra supports up to 1.05M tokens of context, compared with 1.05M for Hy4 preview.

Can I use GPT-6.1 Terra and Hy4 preview at the same time?

Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see GPT-6.1 Terra and Hy4 preview answer side by side and keep the better response.

openai logotencent logo

Why choose? Ask both.

Send one prompt to GPT-6.1 Terra and Hy4 preview at the same time. Compare the answers side by side and keep the best one.