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Model comparison · Updated 2 Nov 2026

MiniMax M2 vs gpt-oss-120b

gpt-oss-120b is about 1.7× cheaper on input ($0.15 against $0.26 per 1M tokens) and on output. MiniMax M2 has the larger context window (205K against 131K tokens). For a support chatbot at 10,000 chats a day, the standard-tier bill is about $207 a month for MiniMax M2 and $122 for gpt-oss-120b.

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ModelsAtlas. “MiniMax M2 vs gpt-oss-120b”. Retrieved 2 Nov 2026. https://modelsatlas.com/compare/minimax/m2/vs/openai/gpt-oss-120b

Model A

MiniMax M2

by MiniMax · weights not marked open · GRIDC3

Input / 1M
$0.26
observed We measured
Source
Our catalogue
Retrieved
2 Nov 2026
Output / 1M$1.02
Context205K
vs

Model B

gpt-oss-120b

by OpenAI · weights not marked open · GRIDC3

Input / 1M
$0.15
observed We measured
Source
Our catalogue
Retrieved
2 Nov 2026
Output / 1M$0.60
Context131K

Key numbers

Standard tier · highlighted = better

MiniMax M2
gpt-oss-120b
Input / 1M tokens
$0.26
$0.15
Output / 1M tokens
$1.02
$0.60
Batch input / output
Not listed
$0.03 / $0.14
Context window
204,800
131,072
Input types
Not disclosed
Not disclosed
Weights
Not marked open
Not marked open
Tiers listed
standard
batch, standard
Prices checked
2026-11-02
2026-11-02

What it costs for real workloads

Monthly, standard tier, 30 days

Support chatbot10k chats/day · 1.5k in, 300 out
$207/mo
$122/mo
RAG over documents2k queries/day · 12k in, 500 out
$214/mo
$126/mo
Coding agent300 tasks/day · 60k in, 8k out
$211/mo
$124/mo

MiniMax M2   gpt-oss-120b · 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 and gpt-oss-120b share C3.

Same square as MiniMax M2: Llama 3.3 70B Instruct ($0.10), Ministral 3 3B 2512 ($0.10), Llama Guard 4 12B ($0.18). Open C3

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 valueDeepSeek V3 · C3DeepSeek V3.2 · C3DeepSeek V3.1 · C3DeepSeek V3.1 Terminus · C3MiniMax M2.5 · C3DeepSeek V3 0324 · C3Llama Guard 4 12B · C3Nemotron 3.5 Content Safety · C3Llama 3.3 70B Instruct · C3Ministral 3 3B 2512 · C3MiniMax M2MiniMax M2gpt-oss-120bgpt-oss-120b
MiniMax M2gpt-oss-120bNearest neighboursOpen weights
View the map as a table (1 squares)
SquarePrice bandContext bandModels
GRIDC3$0.10–0.30128–256KMiniMax M2, gpt-oss-120b, DeepSeek V3, DeepSeek V3.2, DeepSeek V3.1, DeepSeek V3.1 Terminus, MiniMax M2.5, DeepSeek V3 0324, Llama Guard 4 12B, Nemotron 3.5 Content Safety, Llama 3.3 70B Instruct, Ministral 3 3B 2512

Capabilities side by side

Only what our records list

MiniMax M2
gpt-oss-120b
Vision input
Not disclosed
Not disclosed
Audio input
Not disclosed
Not disclosed
Open weights
Not marked open
Not marked open
Batch tier
Not listed
Supported
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 if…

  • your prompts are long: it takes 204,800 tokens against 131,072

Choose gpt-oss-120b if…

  • you pay by the token: it costs $0.15 per 1M input against $0.26
  • output dominates your bill: $0.60 per 1M output against $1.02
  • work can wait: it lists a batch tier and the other does not

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 better than gpt-oss-120b?
We do not benchmark quality, so we cannot say. On the recorded numbers: gpt-oss-120b is about 1.7× cheaper on input ($0.15 against $0.26 per 1M tokens) and on output. MiniMax M2 has the larger context window (205K against 131K tokens). For a support chatbot at 10,000 chats a day, the standard-tier bill is about $207 a month for MiniMax M2 and $122 for gpt-oss-120b. Which is better for you depends on your task; test both on your own prompts.
Which is cheaper, MiniMax M2 or gpt-oss-120b?
gpt-oss-120b: $0.15 against $0.26 per 1M input tokens, and $0.60 against $1.02 per 1M output, on standard pricing.
How much does each cost per 1M tokens?
MiniMax M2: $0.26 input and $1.02 output. gpt-oss-120b: $0.15 input and $0.60 output. Standard tier, USD.
Which has the larger context window?
MiniMax M2, with 204,800 tokens. gpt-oss-120b has 131,072 tokens.
Do both offer batch pricing?
MiniMax M2 lists no batch tier. gpt-oss-120b lists a batch tier, at 20% of its standard price.
Can both read images or audio?
Input types recorded for MiniMax M2: none recorded. For gpt-oss-120b: 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: not marked open-weight in our records. gpt-oss-120b: 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 $207 a month for MiniMax M2 and $122 for gpt-oss-120b. This is our calculation from the listed prices, not a quote.

About the two models

MiniMax M2

By MiniMax. $0.26 input and $1.02 output per 1M tokens, 205K context, atlas square C3. Tiers listed: standard.

Full specs & pricing →

gpt-oss-120b

By OpenAI. $0.15 input and $0.60 output per 1M tokens, 131K context, atlas square C3. Tiers listed: batch, standard.

Full specs & pricing →

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