Compare AI models: MiniMax-M2.7 vs GPT-5 Nano

MiniMax-M2.7MiniMaxHollow points use fallbacks · hover for details
GPT-5 NanoOpenAIHollow points use fallbacks · hover for details

ReasoningCodingCost efficiencyContext windowMultimodalTool use

Normalized model capability scores
Model	Reasoning	Coding	Cost efficiency	Context window	Multimodal	Tool use
MiniMax-M2.7	50/100 — Reasoning supported; no comparable benchmark	76/100	54/100	50/100	0/100	0/100
GPT-5 Nano	50/100 — Reasoning supported; no comparable benchmark	50/100 — No data; neutral placeholder	76/100	73/100	33/100	50/100 — Tool calling supported; no comparable benchmark

Overview

Author

MiniMax

OpenAI

Context length

205K

400K

Reasoning

True

Input modalities

Text

Text, Image

Output modalities

Text

Providers

MiniMax

OpenAI

Pricing

Input

$0.33/ 1M

$0.05/ 1M

Output

$1.32/ 1M

$0.40/ 1M

Cached input

$0.07/ 1M

$0.005/ 1M

MomentumLast 2 mo

Unique users

42K

10K

Completed sessions

153,385

82,240

Token share

0.01%

Tokens

144B-58%

5.9B+110%

SEP 1OCT 26

RetentionWeek 1

Returning users

59.9%1.7K user-weeks

Pending

Related comparisons. Other model pairs to check.

Nearby alternativeMiniMax-M2.7 vs Dracarys Llama 3.1 70B InstructMiniMax-M2.7Dracarys Llama 3.1 70B Instruct Nearby alternativeGPT-5 Nano vs Dracarys Llama 3.1 70B InstructGPT-5 NanoDracarys Llama 3.1 70B Instruct Related comparisonMiniMax-M2.7 vs Jamba MiniMiniMax-M2.7Jamba Mini Related comparisonGPT-5 Nano vs Jamba MiniGPT-5 NanoJamba Mini