API cost decision in 10 seconds

GPT-5.4 Nano vs MiniMax M2-her

Pick GPT-5.4 Nano when budget and context both matter.

Pricing data updated: 2026-05-26T11:08:00Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick GPT-5.4 Nano when budget and context both matter.

On the standard 1M input plus 500K output workload, GPT-5.4 Nano is estimated at $0.82 vs $0.9 for MiniMax M2-her, saving $0.07 (8.3% lower).

Cost-first pickGPT-5.4 Nano

Context-first pickGPT-5.4 Nano

Sample savings$0.078.3%

10x traffic gap$0.75

GPT-5.4 Nano is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $0.75. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Cost winner changes by workload shape: input-heavy / RAG favors GPT-5.4 Nano, balanced workload favors GPT-5.4 Nano, and output-heavy chatbot favors MiniMax M2-her.

Workload shape	Token mix	Better pick	GPT-5.4 Nano	MiniMax M2-her
Input-heavy / RAG	5M input + 500K output	GPT-5.4 Nano	$1.62	$2.1
Balanced workload	1M input + 1M output	GPT-5.4 Nano	$1.45	$1.5
Output-heavy chatbot	1M input + 5M output	MiniMax M2-her	$6.45	$6.3

Cheaper input GPT-5.4 Nano $0.2 vs $0.3 / 1M

GPT-5.4 Nano is $0.1 cheaper per 1M input tokens (33.3% lower; 1.5x difference).

Cheaper output MiniMax M2-her $1.25 vs $1.2 / 1M

MiniMax M2-her is $0.05 cheaper per 1M output tokens (4% lower; 1.04x difference).

Larger context GPT-5.4 Nano 400K vs 65.54K

GPT-5.4 Nano has 334.46K more context (6.1x larger).

Sample workload GPT-5.4 Nano $0.82 vs $0.9

GPT-5.4 Nano is $0.07 cheaper on the standard workload (8.3% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

GPT-5.4 Nano Calculating… Estimated API cost

MiniMax M2-her Calculating… Estimated API cost

Cheaper for this workload Calculating… Difference: calculating…

This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.

Quick Decision

Verdict

GPT-5.4 Nano has the lower input price; MiniMax M2-her has the lower output price; GPT-5.4 Nano offers the larger context window. For the 1M input plus 500K output sample, GPT-5.4 Nano is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.82 for GPT-5.4 Nano and $0.9 for MiniMax M2-her.

Best Fit

Choose GPT-5.4 Nano when you care most about lower input-token price, and larger context window.

Choose MiniMax M2-her when you care most about lower output-token price.

Decision Notes

On the standard 1M input plus 500K output workload, GPT-5.4 Nano is estimated at $0.82 vs $0.9 for MiniMax M2-her, saving $0.07 (8.3% lower).
GPT-5.4 Nano is $0.07 cheaper on the standard workload (8.3% lower).
GPT-5.4 Nano is $0.1 cheaper per 1M input tokens (33.3% lower; 1.5x difference).
MiniMax M2-her is $0.05 cheaper per 1M output tokens (4% lower; 1.04x difference).
GPT-5.4 Nano has 334.46K more context (6.1x larger).

Head-to-Head Specs

Feature	GPT-5.4 Nano (OpenAI)	MiniMax M2-her (MiniMax)
Input Price prompt tokens per 1M	$0.2	$0.3
Completion Price per 1M tokens	$1.25	$1.2
Sample Workload Cost 1M input + 500K output	$0.82	$0.9
Context Window	400K	65.54K
Release Date	2026-03-17	2026-01-23

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	GPT-5.4 Nano	On the standard 1M input plus 500K output workload, GPT-5.4 Nano is estimated at $0.82 vs $0.9 for MiniMax M2-her, saving $0.07 (8.3% lower).
High-volume input processing	GPT-5.4 Nano	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	MiniMax M2-her	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	GPT-5.4 Nano	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

gpt-oss-120b (free) can replace GPT-5.4 Nano when lower sample workload cost matters most: $0.
gpt-oss-20b (free) can replace GPT-5.4 Nano when lower sample workload cost matters most: $0.
gpt-oss-20b can replace GPT-5.4 Nano when lower sample workload cost matters most: $0.1.
gpt-oss-120b can replace GPT-5.4 Nano when lower sample workload cost matters most: $0.13.

Larger context near this budget

Llama 4 Scout offers 10M context with $0.23 sample workload cost.
Owl Alpha offers 1.05M context with $0 sample workload cost.
Gemini 3.1 Flash Lite offers 1.05M context with $1 sample workload cost.
DeepSeek V4 Pro offers 1.05M context with $0.87 sample workload cost.

Popular competitors

No popular competitor is currently available.

Cheaper alternatives

Review low-cost models sorted by a standard 1M input plus 500K output workload.

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Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

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Provider catalogs

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OpenAI catalog

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MiniMax catalog

Check other MiniMax models with comparable pricing, context, or release timing.

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GPT-5.4 Nano

GPT-5.4 nano is the most lightweight and cost-efficient variant of the GPT-5.4 family, optimized for speed-critical and high-volume tasks. It supports text and image inputs and is designed for low-latency...

MiniMax M2-her

MiniMax M2-her is a dialogue-first large language model built for immersive roleplay, character-driven chat, and expressive multi-turn conversations. Designed to stay consistent in tone and personality, it supports rich message...