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GPT-5.6 Luna vs Mistral Large 3

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

Cost at a Glance

Mistral Large 3 is 1.5× more expensive than GPT-5.6 Luna (34.6% savings if you switch).

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

GPT-5.6 Luna$17.00/movsMistral Large 3$26.00/mo

Choosing GPT-5.6 Luna could save you $9.00/mo

Price Comparison (per 1M tokens)

Input (per 1M tokens)
$1.00vs$2.00
Output (per 1M tokens)
$6.00vs$8.00
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
1Mvs256K
Max Output Tokens
64Kvs64K
Knowledge Cutoff
2026-04vs2026-02
Modalities
TextvsText
Prompt Caching
YesvsNo
Batch API
YesvsNo
Thinking / Reasoning
NovsNo

Benchmark Scores

SWE-bench Verified
62.5vs68.0
MMLU-Pro
79.0vs82.0
HumanEval
89.5vs88.0

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 Large 3

generaleuropeopen-weight

About the Providers

GPT-5.6 Luna is developed by OpenAI. Mistral Large 3 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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