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Model comparison · Updated 10 Oct 2026

MiniMax M2-her vs Qwen2.5 VL 72B Instruct

MiniMax M2-her is about 2.7× cheaper on input ($0.30 against $0.80 per 1M tokens), though Qwen2.5 VL 72B Instruct is cheaper on output. Qwen2.5 VL 72B Instruct has the larger context window (128K against 66K tokens). For a support chatbot at 10,000 chats a day, the standard-tier bill is about $243 a month for MiniMax M2-her and $450 for Qwen2.5 VL 72B Instruct.

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ModelsAtlas. “MiniMax M2-her vs Qwen2.5 VL 72B Instruct”. Retrieved 10 Oct 2026. https://modelsatlas.com/compare/minimax/m2-her/vs/qwen/2-5-vl-72b-instruct

Model A

MiniMax M2-her

by MiniMax · weights not marked open · GRIDD2

Input / 1M
$0.30
observed We measured
Source
Our catalogue
Retrieved
1 Sep 2026
Output / 1M$1.20
Context66K
vs

Model B

Qwen2.5 VL 72B Instruct

by Qwen (Alibaba) · weights not marked open · GRIDD2

Input / 1M
$0.80
observed We measured
Source
Our catalogue
Retrieved
10 Oct 2026
Output / 1M$1.00
Context128K

Key numbers

Standard tier · highlighted = better

MiniMax M2-her
Qwen2.5 VL 72B Instruct
Input / 1M tokens
$0.30
$0.80
Output / 1M tokens
$1.20
$1.00
Batch input / output
Not listed
Not listed
Context window
65,536
128,000
Input types
Not disclosed
Not disclosed
Weights
Not marked open
Not marked open
Tiers listed
standard
standard
Prices checked
2026-09-01
2026-10-10

What it costs for real workloads

Monthly, standard tier, 30 days

Support chatbot10k chats/day · 1.5k in, 300 out
$243/mo
$450/mo
RAG over documents2k queries/day · 12k in, 500 out
$252/mo
$606/mo
Coding agent300 tasks/day · 60k in, 8k out
$248/mo
$504/mo

MiniMax M2-her   Qwen2.5 VL 72B Instruct · Derived from the standard-tier prices above, input and output tokens per request as stated, 30 days. Excludes caching discounts and batch. Try your own numbers.

On the atlas

Price band (A–H) × context band (1–6)

Same square. MiniMax M2-her and Qwen2.5 VL 72B Instruct share D2.

Same square as MiniMax M2-her: Nano Banana (Gemini 2.5 Flash Image) ($0.30), Mistral Small 3.1 24B ($0.35), Qwen2.5 72B Instruct ($0.36). Open D2

AFreeB<$0.10C$0.10–0.30D$0.30–1E$1–3F$3–10G$10–30H$30+1<32K232–128K3128–256K4256K–1M51M6>1MINPUT PRICE PER 1M TOKENS →CONTEXT WINDOW ↑ · position within a square follows the real valueNano Banana (Gemini 2.5 Flash Image) · D2Mistral Small 3.1 24B · D2Qwen2.5 72B Instruct · D2WizardLM-2 8x22B · D2Qwen2.5 Coder 32B Instruct · D2MiniMax M2-herMiniMax M2-herQwen2.5 VL 72B InstructQwen2.5 VL 72B Instruct
MiniMax M2-herQwen2.5 VL 72B InstructNearest neighboursOpen weights
View the map as a table (1 squares)
SquarePrice bandContext bandModels
GRIDD2$0.30–132–128KMiniMax M2-her, Qwen2.5 VL 72B Instruct, Nano Banana (Gemini 2.5 Flash Image), Mistral Small 3.1 24B, Qwen2.5 72B Instruct, WizardLM-2 8x22B, Qwen2.5 Coder 32B Instruct

Capabilities side by side

Only what our records list

MiniMax M2-her
Qwen2.5 VL 72B Instruct
Vision input
Not disclosed
Not disclosed
Audio input
Not disclosed
Not disclosed
Open weights
Not marked open
Not marked open
Batch tier
Not listed
Not listed
Free tier
Not listed
Not listed
Thinking tier
Not listed
Not listed

Neither record lists input types, so we do not claim any.

Which should you choose?

Editorial

Choose MiniMax M2-her if…

  • you pay by the token: it costs $0.30 per 1M input against $0.80

Choose Qwen2.5 VL 72B Instruct if…

  • output dominates your bill: $1.00 per 1M output against $1.20
  • your prompts are long: it takes 128,000 tokens against 65,536

Each reason is a fact from the tables above. Picking between them is our judgement, and we do not benchmark quality: price and context are what we can measure, so test both on your own prompts before you commit.

Questions

Is MiniMax M2-her better than Qwen2.5 VL 72B Instruct?
We do not benchmark quality, so we cannot say. On the recorded numbers: MiniMax M2-her is about 2.7× cheaper on input ($0.30 against $0.80 per 1M tokens), though Qwen2.5 VL 72B Instruct is cheaper on output. Qwen2.5 VL 72B Instruct has the larger context window (128K against 66K tokens). For a support chatbot at 10,000 chats a day, the standard-tier bill is about $243 a month for MiniMax M2-her and $450 for Qwen2.5 VL 72B Instruct. Which is better for you depends on your task; test both on your own prompts.
Which is cheaper, MiniMax M2-her or Qwen2.5 VL 72B Instruct?
MiniMax M2-her: $0.30 against $0.80 per 1M input tokens, and $1.20 against $1.00 per 1M output, on standard pricing.
How much does each cost per 1M tokens?
MiniMax M2-her: $0.30 input and $1.20 output. Qwen2.5 VL 72B Instruct: $0.80 input and $1.00 output. Standard tier, USD.
Which has the larger context window?
Qwen2.5 VL 72B Instruct, with 128,000 tokens. MiniMax M2-her has 65,536 tokens.
Do both offer batch pricing?
Neither lists a batch tier in our catalogue.
Can both read images or audio?
Input types recorded for MiniMax M2-her: none recorded. For Qwen2.5 VL 72B Instruct: none recorded. Where a record lists none we say so rather than guess; check each vendor's documentation before relying on a capability.
Is either model open-weight?
MiniMax M2-her: not marked open-weight in our records. Qwen2.5 VL 72B Instruct: not marked open-weight in our records.
What would each cost for a support chatbot?
At 10,000 chats a day, 1,500 input and 300 output tokens each, 30 days, standard tier: about $243 a month for MiniMax M2-her and $450 for Qwen2.5 VL 72B Instruct. This is our calculation from the listed prices, not a quote.

About the two models

MiniMax M2-her

By MiniMax. $0.30 input and $1.20 output per 1M tokens, 66K context, atlas square D2. Tiers listed: standard.

Full specs & pricing →

Qwen2.5 VL 72B Instruct

By Qwen (Alibaba). $0.80 input and $1.00 output per 1M tokens, 128K context, atlas square D2. Tiers listed: standard.

Full specs & pricing →

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