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Model comparison · Updated 10 Oct 2026

Llama 3.1 70B Instruct vs MiniMax M2

MiniMax M2 is about 1.3× cheaper on input ($0.30 against $0.40 per 1M tokens), though Llama 3.1 70B Instruct is cheaper 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 $216 a month for Llama 3.1 70B Instruct and $243 for MiniMax M2.

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ModelsAtlas. “Llama 3.1 70B Instruct vs MiniMax M2”. Retrieved 10 Oct 2026. https://modelsatlas.com/compare/meta/llama-3-1-70b-instruct/vs/minimax/m2

Model A

Llama 3.1 70B Instruct

by Meta · weights not marked open · GRIDD3

Input / 1M
$0.40
observed We measured
Source
Our catalogue
Retrieved
17 Aug 2026
Output / 1M$0.40
Context131K
vs

Model B

MiniMax M2

by MiniMax · weights not marked open · GRIDD3

Input / 1M
$0.30
observed We measured
Source
Our catalogue
Retrieved
10 Oct 2026
Output / 1M$1.20
Context205K

Key numbers

Standard tier · highlighted = better

Llama 3.1 70B Instruct
MiniMax M2
Input / 1M tokens
$0.40
$0.30
Output / 1M tokens
$0.40
$1.20
Batch input / output
Not listed
Not listed
Context window
131,072
204,800
Input types
Not disclosed
Not disclosed
Weights
Not marked open
Not marked open
Tiers listed
standard
standard
Prices checked
2026-08-17
2026-10-10

What it costs for real workloads

Monthly, standard tier, 30 days

Support chatbot10k chats/day · 1.5k in, 300 out
$216/mo
$243/mo
RAG over documents2k queries/day · 12k in, 500 out
$300/mo
$252/mo
Coding agent300 tasks/day · 60k in, 8k out
$245/mo
$248/mo

Llama 3.1 70B Instruct   MiniMax M2 · 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. Llama 3.1 70B Instruct and MiniMax M2 share D3.

Same square as Llama 3.1 70B Instruct: Codestral 2508 ($0.30), Command A+ ($0.30), MiniMax M2.1 ($0.30). Open D3

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 valueMistral Medium 3 · D3Mistral Medium 3.1 · D3Nano Banana 2 (Gemini 3.1 Flash Image) · D3DeepSeek V3 · D3Command A+ · D3Muse Glimmer 30B · D3MiniMax M2.1 · D3Codestral 2508 · D3Llama 3.1 70B InstructLlama 3.1 70B InstructMiniMax M2MiniMax M2
Llama 3.1 70B InstructMiniMax M2Nearest neighboursOpen weights
View the map as a table (1 squares)
SquarePrice bandContext bandModels
GRIDD3$0.30–1128–256KLlama 3.1 70B Instruct, MiniMax M2, Mistral Medium 3, Mistral Medium 3.1, Nano Banana 2 (Gemini 3.1 Flash Image), DeepSeek V3, Command A+, Muse Glimmer 30B, MiniMax M2.1, Codestral 2508

Capabilities side by side

Only what our records list

Llama 3.1 70B Instruct
MiniMax M2
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 Llama 3.1 70B Instruct if…

  • output dominates your bill: $0.40 per 1M output against $1.20

Choose MiniMax M2 if…

  • you pay by the token: it costs $0.30 per 1M input against $0.40
  • your prompts are long: it takes 204,800 tokens against 131,072

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 Llama 3.1 70B Instruct better than MiniMax M2?
We do not benchmark quality, so we cannot say. On the recorded numbers: MiniMax M2 is about 1.3× cheaper on input ($0.30 against $0.40 per 1M tokens), though Llama 3.1 70B Instruct is cheaper 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 $216 a month for Llama 3.1 70B Instruct and $243 for MiniMax M2. Which is better for you depends on your task; test both on your own prompts.
Which is cheaper, Llama 3.1 70B Instruct or MiniMax M2?
MiniMax M2: $0.30 against $0.40 per 1M input tokens, and $1.20 against $0.40 per 1M output, on standard pricing.
How much does each cost per 1M tokens?
Llama 3.1 70B Instruct: $0.40 input and $0.40 output. MiniMax M2: $0.30 input and $1.20 output. Standard tier, USD.
Which has the larger context window?
MiniMax M2, with 204,800 tokens. Llama 3.1 70B Instruct has 131,072 tokens.
Do both offer batch pricing?
Neither lists a batch tier in our catalogue.
Can both read images or audio?
Input types recorded for Llama 3.1 70B Instruct: none recorded. For MiniMax M2: 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?
Llama 3.1 70B Instruct: not marked open-weight in our records. MiniMax M2: 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 $216 a month for Llama 3.1 70B Instruct and $243 for MiniMax M2. This is our calculation from the listed prices, not a quote.

About the two models

Llama 3.1 70B Instruct

By Meta. $0.40 input and $0.40 output per 1M tokens, 131K context, atlas square D3. Tiers listed: standard.

Full specs & pricing →

MiniMax M2

By MiniMax. $0.30 input and $1.20 output per 1M tokens, 205K context, atlas square D3. Tiers listed: standard.

Full specs & pricing →

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