Model comparison · Updated 10 Oct 2026
Llama 3.3 70B Instruct vs Ministral 3 3B 2512
Ministral 3 3B 2512 is about 2.2× cheaper on input ($0.10 against $0.22 per 1M tokens) and on output. Both have a 131K-token context window. For a support chatbot at 10,000 chats a day, the standard-tier bill is about $144 a month for Llama 3.3 70B Instruct and $54.00 for Ministral 3 3B 2512.
Cite
Cite this page
ModelsAtlas. “Llama 3.3 70B Instruct vs Ministral 3 3B 2512”. Retrieved 10 Oct 2026. https://modelsatlas.com/compare/meta/llama-3-3-70b-instruct/vs/mistralai/ministral-3b
Model A
by Meta · weights not marked open · GRIDC3
$0.22
- Source
- Our catalogue
- Retrieved
- 10 Oct 2026
Model B
by Mistral AI · weights not marked open · GRIDC3
$0.10
- Source
- Our catalogue
- Retrieved
- 17 Aug 2026
Key numbers
Standard tier · highlighted = better
What it costs for real workloads
Monthly, standard tier, 30 days
Llama 3.3 70B Instruct Ministral 3 3B 2512 · 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 3.3 70B Instruct and Ministral 3 3B 2512 share C3.
Same square as Llama 3.3 70B Instruct: Llama Guard 4 12B ($0.18), Nemotron 3.5 Content Safety ($0.20), MiniMax M2.7 ($0.21). Open C3
View the map as a table (1 squares)
| Square | Price band | Context band | Models |
|---|---|---|---|
| GRIDC3 | $0.10–0.30 | 128–256K | Llama 3.3 70B Instruct, Ministral 3 3B 2512, MiniMax M2.7, Nemotron 3.5 Content Safety, DeepSeek V3.1, DeepSeek V3.2, Llama Guard 4 12B, DeepSeek V3.1 Terminus |
Capabilities side by side
Only what our records list
Neither record lists input types, so we do not claim any.
Which should you choose?
EditorialChoose Llama 3.3 70B Instruct if…
Nothing in the recorded numbers favours Llama 3.3 70B Instruct over Ministral 3 3B 2512. Pick it for what our records do not cover — your own tests, or an account you already have with Meta.
Choose Ministral 3 3B 2512 if…
- you pay by the token: it costs $0.10 per 1M input against $0.22
- output dominates your bill: $0.10 per 1M output against $0.50
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 3.3 70B Instruct better than Ministral 3 3B 2512?
Which is cheaper, Llama 3.3 70B Instruct or Ministral 3 3B 2512?
How much does each cost per 1M tokens?
Which has the larger context window?
Do both offer batch pricing?
Can both read images or audio?
Is either model open-weight?
What would each cost for a support chatbot?
About the two models
Llama 3.3 70B Instruct
By Meta. $0.22 input and $0.50 output per 1M tokens, 131K context, atlas square C3. Tiers listed: standard.
Full specs & pricing →Ministral 3 3B 2512
By Mistral AI. $0.10 input and $0.10 output per 1M tokens, 131K context, atlas square C3. Tiers listed: standard.
Full specs & pricing →Compare Llama 3.3 70B Instruct with…
Compare Ministral 3 3B 2512 with…
Keep going in your AI
Opens with this page as the source. We add nothing else to the prompt.
- Is Llama 3.3 70B Instruct better than Ministral 3 3B 2512?
- Which is cheaper, Llama 3.3 70B Instruct or Ministral 3 3B 2512?
- How much does each cost per 1M tokens?