AI model comparison

GPT-6.1 Terra vs Muse Spark 1.3

Side by side comparison of GPT-6.1 Terra and Muse Spark 1.3 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

Muse Spark 1.3 is a multimodal reasoning model from Meta for long-running agentic, multi-agent, and coding workflows.

Input / 1M
$1.25
Output / 1M
$4.25
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

openai logo

GPT-6.1 Terra

1.0x cheaper for a typical chat

Higher intelligence score

Tie

Both scored 48.1 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
meta logoMuse Spark 1.348.1

Coding index

openai logoGPT-6.1 TerraNot available
meta logoMuse Spark 1.375.8

Agentic index

openai logoGPT-6.1 TerraNot available
meta logoMuse Spark 1.355.5

Pricing

GPT-6.1 Terra vs Muse Spark 1.3 API pricing

Per-token API rates. Cheaper option highlighted.

Metricopenai logoGPT-6.1 Terrameta logoMuse Spark 1.3
Input tokensPer 1M tokens$1$1.25
Output tokensPer 1M tokens$5$4.25
Cached input (read)Per 1M tokens$0.05$0.15
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$0.01$0.0025

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
meta logoMuse Spark 1.3$4.63

Coding task

30K in, 4K out

openai logoGPT-6.1 Terra$50$21.50 cached
meta logoMuse Spark 1.3$54.50$21.50 cached

Long document summary

150K in, 2K out

openai logoGPT-6.1 Terra$160$17.50 cached
meta logoMuse Spark 1.3$196$31 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 Terrameta logoMuse Spark 1.3
Context window1.05M tokens1.05M tokens
Max output128K tokens944K tokens
Input typesFile, Image, TextFile, Image, Text, Video
Output typesTextText
Reasoning effort levelsMax, Extra high, High, Medium, Low, NoneMax, Extra high, High, Medium, Low, Minimal
Default reasoning effortMediumMedium
Release dateOctober 26, 2026September 2, 2026

Features

Supported features

API features available for each model.

Metricopenai logoGPT-6.1 Terrameta logoMuse Spark 1.3
Tool callingSupportedSupported
Structured outputsSupportedSupported
JSON modeSupportedSupported
ReasoningSupportedSupported
TemperatureNot supportedSupported
Stop sequencesNot supportedNot supported
Deterministic seedSupportedNot supported
Verbosity controlSupportedNot supported

Our take

GPT-6.1 Terra is 1.0x 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 Muse Spark 1.3 cheaper?

GPT-6.1 Terra is cheaper for a typical chat (2K input tokens and 500 output tokens). GPT-6.1 Terra costs $1 per 1M input tokens and $5 per 1M output tokens, while Muse Spark 1.3 costs $1.25 per 1M input tokens and $4.25 per 1M output tokens.

Which has a bigger context window, GPT-6.1 Terra or Muse Spark 1.3?

GPT-6.1 Terra supports up to 1.05M tokens of context, compared with 1.05M for Muse Spark 1.3.

Is GPT-6.1 Terra smarter than Muse Spark 1.3?

On the Artificial Analysis Intelligence Index, GPT-6.1 Terra and Muse Spark 1.3 both score 48.1. Benchmarks don't capture everything, so the best test is running your own prompts through both.

Can I use GPT-6.1 Terra and Muse Spark 1.3 at the same time?

Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see GPT-6.1 Terra and Muse Spark 1.3 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 Muse Spark 1.3 at the same time. Compare the answers side by side and keep the best one.