Ministral 3 14B 2512 vs Ministral 3 8B 2512
Pick up to 3 models · pricing, context and capabilities · simulate your product cost
Data updated on September 30, 2026· 217 models
The largest model in the Ministral 3 family, Ministral 3 14B offers frontier capabilities and performance comparable to its larger Mistral Small 3.2 24B counterpart.
- Reasoning estimated
- Speed estimated
- Input
- Output
- Context
- 262 K tokens
- Max output
- 210 K
- Input, $ per 1M tokens
- $0.200
- Output, $ per 1M tokens
- $0.200
- Cache read, $ per 1M
- $0.020
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- 12/03/2025
- Knowledge cutoff
- —
- API id
- mistralai/ministral-14b-2512
A balanced model in the Ministral 3 family, Ministral 3 8B is a powerful, efficient tiny language model with vision capabilities.
- Reasoning estimated
- Speed estimated
- Input
- Output
- Context
- 262 K tokens
- Max output
- 210 K
- Input, $ per 1M tokens
- ▲$0.150
- Output, $ per 1M tokens
- ▲$0.150
- Cache read, $ per 1M
- $0.015
- Batch (input / output)
- $0.075 / $0.075
- Tool calling
- Yes
- Released
- 12/03/2025
- Knowledge cutoff
- —
- API id
- mistralai/ministral-8b-2512
Which is the better API choice: Ministral 3 14B 2512 vs Ministral 3 8B 2512?
- Ministral 3 8B 2512: cheapest input (25% less than Ministral 3 14B 2512)
- Ministral 3 8B 2512: cheapest output
Ministral 3 8B 2512 costs 25% less on input and 25% less on output than Ministral 3 14B 2512 ($0.150 / $0.150 versus $0.200 / $0.200 per million tokens). All accept 262 K tokens of context. Ministral 3 8B 2512 offers a batch tier at half price for jobs that do not need an immediate answer.
What would your product cost?
Estimate the monthly cost with your app's real volume. List prices, no cache or batch discounts.
With Ministral 3 8B 2512 you save $0.95 a month versus Ministral 3 14B 2512 (25% less).
The 6 cheapest for this scenario (chat, last 12 months)
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- 2Lyria 3 Clip Preview Google$0.00
- 3Qwen3.7 Flash Qwen$0.97
- 4DeepSeek V4 Flash 0731 DeepSeek$1.55
- 5Ministral 3 3B 2512 Mistral$1.90
- 6Qwen3.5-Flash Qwen$2.02
Paste your prompt: tokens and cost per model
Rough estimate (about 4 characters per token). Nothing is sent to any server.
Cost of sending it 1,000 times (input only)
- 1Ministral 3 8B 2512 Mistral$0.011
- 2Ministral 3 14B 2512 Mistral$0.015
- 3Claude Sonnet 5.5 Anthropic$0.152
- 4Claude Sonnet 5 Anthropic$0.152
- 5Claude Opus 5.5 Anthropic$0.304
- 6Claude Opus 5 Anthropic$0.380
- 7Claude Fable 5.1 Anthropic$0.760
- 8Claude Fable 5 Anthropic$0.760
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Frequently asked questions
Which is the better API choice: Ministral 3 14B 2512 vs Ministral 3 8B 2512?
Ministral 3 8B 2512 costs 25% less on input and 25% less on output than Ministral 3 14B 2512 ($0.150 / $0.150 versus $0.200 / $0.200 per million tokens). All accept 262 K tokens of context. Ministral 3 8B 2512 offers a batch tier at half price for jobs that do not need an immediate answer.
Which is cheaper: Ministral 3 14B 2512 and Ministral 3 8B 2512?
Ministral 3 8B 2512 is cheaper: $0.150 per million input tokens and $0.150 per million output tokens, versus $0.200 / $0.200 for Ministral 3 14B 2512.
Which has more context: Ministral 3 14B 2512 and Ministral 3 8B 2512?
Ministral 3 14B 2512 and Ministral 3 8B 2512 accept the same context: 262 K tokens.
What would 10,000 requests a month cost with Ministral 3 14B 2512 and Ministral 3 8B 2512?
With 1,500 input and 400 output tokens per request: Ministral 3 14B 2512: $3.80; Ministral 3 8B 2512: $2.85 a month, at list price.
Where do the prices come from and how often are they updated?
From the public catalogs of OpenRouter, models.dev and LiteLLM, which publish each provider's list prices. They sync once a day and the last update date is shown above the comparison.
What does price per million tokens mean?
It is what the provider charges per million tokens you send (input) or the model generates (output). A token is roughly 4 characters. Output almost always costs more than input.
Sources: OpenRouter, models.dev and LiteLLM. Prices in USD per million tokens, list price, no volume discounts. Prompt tokens are an estimate; each provider's tokenizer may differ.