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GPT-5.6 Luna vs Mistral Small 3.2

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

Cost at a Glance

GPT-5.6 Luna is 21.8× more expensive than Mistral Small 3.2 — switching could save 95.4% on your monthly API bill.

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

GPT-5.6 Luna$17.00/movsMistral Small 3.2$0.78/mo

Choosing Mistral Small 3.2 could save you $16.22/mo

Price Comparison (per 1M tokens)

Input (per 1M tokens)
$1.00vs$0.07
Output (per 1M tokens)
$6.00vs$0.20
Cache Write (per 1M tokens)
$1.25vs
Cache Read (per 1M tokens)
$0.10vs$0.01
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
1Mvs128K
Max Output Tokens
64Kvs64K
Knowledge Cutoff
2026-04vs2025-06
Modalities
TextvsText, Image
Prompt Caching
YesvsYes
Batch API
YesvsNo
Thinking / Reasoning
NovsNo

Benchmark Scores

SWE-bench Verified
62.5vs
MMLU-Pro
79.0vs68.0
HumanEval
89.5vs85.0

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

Mistral Small 3.2

cheapopen-weightmultimodaleu

About the Providers

GPT-5.6 Luna is developed by OpenAI. Mistral Small 3.2 is developed by Mistral. This is a cross-provider comparison between OpenAI and Mistral models. For the most up-to-date pricing, always check the official API documentation from each provider.

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