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GPT-5.6 Luna vs MiniMax M3

Detailed comparison of API pricing, technical specifications, and benchmark scores. Updated 2026-06-29.

Cost at a Glance

GPT-5.6 Luna is 4.4× more expensive than MiniMax M3 — switching could save 77.1% on your monthly API bill.

At 5M input + 2M output tokens per month:

GPT-5.6 Luna$17.00/movsMiniMax M3$3.90/mo

Choosing MiniMax M3 could save you $13.10/mo

Price Comparison (per 1M tokens)

Input (per 1M tokens)
$1.00vs$0.30
Output (per 1M tokens)
$6.00vs$1.20
Cache Write (per 1M tokens)
$1.25vs
Cache Read (per 1M tokens)
$0.10vs
Batch Input (per 1M tokens)
$0.50vs
Batch Output (per 1M tokens)
$3.00vs

Prices are per 1 million tokens. Actual costs depend on your monthly token volume. Use the calculator →

Specifications

Context Window
1Mvs1M
Max Output Tokens
64Kvs64K
Knowledge Cutoff
2026-04vs2026-04
Modalities
TextvsText
Prompt Caching
YesvsNo
Batch API
YesvsNo
Thinking / Reasoning
NovsNo

Benchmark Scores

SWE-bench Verified
62.5vs80.5
MMLU-Pro
79.0vs82.5
HumanEval
89.5vs92.0

Benchmark scores from official provider reports. Higher is better. Missing scores indicate the provider has not published that benchmark yet.

Use Cases

GPT-5.6 Luna

fastcheapgeneral

MiniMax M3

codingcheapopen-weight

About the Providers

GPT-5.6 Luna is developed by OpenAI. MiniMax M3 is developed by MiniMax. This is a cross-provider comparison between OpenAI and MiniMax models. For the most up-to-date pricing, always check the official API documentation from each provider.

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