Model comparison · Updated 2 Nov 2026

MiniMax M3.1 Flash vs GPT-6 Luna

GPT-6 Luna is about 1.5× cheaper on input ($0.10 against $0.15 per 1M tokens) and on output. GPT-6 Luna has the larger context window (1.05M against 1.05M tokens). For a support chatbot at 10,000 chats a day, the standard-tier bill is about $122 a month for MiniMax M3.1 Flash and $90.00 for GPT-6 Luna.

Ask an AI about this pageGChatGPT CClaude PPerplexity GeGemini XGrok

CoCopilot AIGoogle AI Mode

Cite

Cite this page

ModelsAtlas. “MiniMax M3.1 Flash vs GPT-6 Luna”. Retrieved 2 Nov 2026. https://modelsatlas.com/compare/minimax/m3-1/vs/openai/gpt-6-luna

Model A

MiniMax M3.1 Flash

by MiniMax · weights not marked open · GRIDC5

Input / 1M
$0.15
observed We measured
Source
Our catalogue
Retrieved
2 Nov 2026

Output / 1M$0.60

Context1.05M

Model B

GPT-6 Luna

by OpenAI · weights not marked open · GRIDC6

Input / 1M
$0.10
observed We measured
Source
Our catalogue
Retrieved
10 Oct 2026

Output / 1M$0.50

Context1.05M

Key numbers

Standard tier · highlighted = better

MiniMax M3.1 Flash

GPT-6 Luna

Input / 1M tokens

$0.15

$0.10

Output / 1M tokens

$0.60

$0.50

Batch input / output

Not listed

$0.05 / $0.25

Context window

1,048,576

1,050,000

Input types

Not disclosed

Weights

Not marked open

Tiers listed

standard

batch, standard

Prices checked

2026-11-02

2026-10-10

What it costs for real workloads

Monthly, standard tier, 30 days

Support chatbot10k chats/day · 1.5k in, 300 out

$122/mo

$90.00/mo

RAG over documents2k queries/day · 12k in, 500 out

$126/mo

$87.00/mo

Coding agent300 tasks/day · 60k in, 8k out

$124/mo

$90.00/mo

MiniMax M3.1 Flash GPT-6 Luna · Derived from the standard-tier prices above, input and output tokens per request as stated, 30 days. Excludes caching discounts and batch. Try your own numbers.

On the atlas

Price band (A–H) × context band (1–6)

1 square apart. GPT-6 Luna (C6) sits 1 context band larger than MiniMax M3.1 Flash (C5).

Same square as MiniMax M3.1 Flash: Claude Haiku 5.5 ($0.10), Muse Spark 1.2 Contributor ($0.10), Muse Spark 1.3 Contributor ($0.10). Same square as GPT-6 Luna: Llama 4 Scout ($0.10), GPT-5.6 Luna ($0.20). Open C5 · Open C6

MiniMax M3.1 FlashGPT-6 LunaNearest neighboursOpen weights

View the map as a table (2 squares)

Square	Price band	Context band	Models
GRIDC5	$0.10–0.30	1M	MiniMax M3.1 Flash, Nemotron 3.5 Super VL, Qwen3.8 Flash, Qwen3.8 27B, Qwen3.8 Omni Flash, Qwen3.6 Flash, MiniMax-01, Claude Haiku 5.5, Muse Spark 1.2 Contributor, Muse Spark 1.3 Contributor
GRIDC6	$0.10–0.30	>1M	GPT-6 Luna, Llama 4 Scout, GPT-5.6 Luna

Capabilities side by side

Only what our records list

MiniMax M3.1 Flash

GPT-6 Luna

Vision input

Not disclosed

Audio input

Not disclosed

Open weights

Not marked open

Batch tier

Not listed

Supported

Free tier

Not listed

Thinking tier

Not listed

Neither record lists input types, so we do not claim any.

Which should you choose?

Editorial

Choose MiniMax M3.1 Flash if…

Nothing in the recorded numbers favours MiniMax M3.1 Flash over GPT-6 Luna. Pick it for what our records do not cover — your own tests, or an account you already have with MiniMax.

Choose GPT-6 Luna if…

you pay by the token: it costs $0.10 per 1M input against $0.15
output dominates your bill: $0.50 per 1M output against $0.60
your prompts are long: it takes 1,050,000 tokens against 1,048,576
work can wait: it lists a batch tier and the other does not

Each reason is a fact from the tables above. Picking between them is our judgement, and we do not benchmark quality: price and context are what we can measure, so test both on your own prompts before you commit.

Questions

Is MiniMax M3.1 Flash better than GPT-6 Luna?

We do not benchmark quality, so we cannot say. On the recorded numbers: GPT-6 Luna is about 1.5× cheaper on input ($0.10 against $0.15 per 1M tokens) and on output. GPT-6 Luna has the larger context window (1.05M against 1.05M tokens). For a support chatbot at 10,000 chats a day, the standard-tier bill is about $122 a month for MiniMax M3.1 Flash and $90.00 for GPT-6 Luna. Which is better for you depends on your task; test both on your own prompts.

Which is cheaper, MiniMax M3.1 Flash or GPT-6 Luna?

GPT-6 Luna: $0.10 against $0.15 per 1M input tokens, and $0.50 against $0.60 per 1M output, on standard pricing.

How much does each cost per 1M tokens?

MiniMax M3.1 Flash: $0.15 input and $0.60 output. GPT-6 Luna: $0.10 input and $0.50 output. Standard tier, USD.

Which has the larger context window?

GPT-6 Luna, with 1,050,000 tokens. MiniMax M3.1 Flash has 1,048,576 tokens.

Do both offer batch pricing?

MiniMax M3.1 Flash lists no batch tier. GPT-6 Luna lists a batch tier, at 50% of its standard price.

Can both read images or audio?

Input types recorded for MiniMax M3.1 Flash: none recorded. For GPT-6 Luna: none recorded. Where a record lists none we say so rather than guess; check each vendor's documentation before relying on a capability.

Is either model open-weight?

MiniMax M3.1 Flash: not marked open-weight in our records. GPT-6 Luna: not marked open-weight in our records.

What would each cost for a support chatbot?

At 10,000 chats a day, 1,500 input and 300 output tokens each, 30 days, standard tier: about $122 a month for MiniMax M3.1 Flash and $90.00 for GPT-6 Luna. This is our calculation from the listed prices, not a quote.

About the two models

MiniMax M3.1 Flash

By MiniMax. $0.15 input and $0.60 output per 1M tokens, 1.05M context, atlas square C5. Tiers listed: standard.

Full specs & pricing →

GPT-6 Luna

By OpenAI. $0.10 input and $0.50 output per 1M tokens, 1.05M context, atlas square C6. Tiers listed: batch, standard.

Full specs & pricing →

Compare MiniMax M3.1 Flash with…

Compare GPT-6 Luna with…

Keep going in your AI

Opens with this page as the source. We add nothing else to the prompt.

Is MiniMax M3.1 Flash better than GPT-6 Luna?
GChatGPT CClaude PPerplexity
Which is cheaper, MiniMax M3.1 Flash or GPT-6 Luna?
GChatGPT CClaude PPerplexity
How much does each cost per 1M tokens?
GChatGPT CClaude PPerplexity