Llama 3.1 8B Instruct vs Ministral 3 3B 2512

Pick up to 3 models · pricing, context and capabilities · simulate your product cost

Data updated on November 14, 2026· 230 models

Meta8B Instruct

Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors.

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Reasoning estimated
Speed estimated
Input
Output
Context
131 K tokens
Max output
16 K
Input, $ per 1M tokens
▲$0.020
Output, $ per 1M tokens
▲$0.040
Cache read, $ per 1M
—
Batch (input / output)
—
Tool calling
Yes
Released
07/23/2024
Knowledge cutoff
2024-07
API id
meta-llama/llama-3.1-8b-instruct
Mistral3B 2512

The smallest model in the Ministral 3 family, Ministral 3 3B is a powerful, efficient tiny language model with vision capabilities.

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Reasoning estimated
Speed estimated
Input
Output
Context
131 K tokens
Max output
▲105 K
Input, $ per 1M tokens
$0.100
Output, $ per 1M tokens
$0.100
Cache read, $ per 1M
$0.010
Batch (input / output)
—
Tool calling
Yes
Released
▲12/02/2025
Knowledge cutoff
—
API id
mistralai/ministral-3b-2512
Third model (optional)
text image audio video PDF / file reasoning (1 to 5, estimated by family) speed (1 to 4, estimated by family)▲ best value among the selected

Which is the better API choice: Llama 3.1 8B Instruct vs Ministral 3 3B 2512?

  • Llama 3.1 8B Instruct: cheapest input (80% less than Ministral 3 3B 2512)
  • Llama 3.1 8B Instruct: cheapest output
  • Ministral 3 3B 2512: the newest (12/02/2025)

Llama 3.1 8B Instruct costs 80% less on input and 60% less on output than Ministral 3 3B 2512 ($0.020 / $0.040 versus $0.100 / $0.100 per million tokens). All accept 131 K tokens of context. On capabilities, Ministral 3 3B 2512 accepts images.

What would your product cost?

Estimate the monthly cost with your app's real volume. List prices, no cache or batch discounts.

Llama 3.1 8B Instruct
$0.46/mo
Ministral 3 3B 2512
$1.90/mo

With Llama 3.1 8B Instruct you save $1.44 a month versus Ministral 3 3B 2512 (76% less).

The 6 cheapest for this scenario (chat, last 12 months)

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  4. 4DeepSeek V4.1 Flash DeepSeek$1.57
  5. 5DeepSeek V4 Flash 0731 DeepSeek$1.85
  6. 6Ministral 3 3B 2512 Mistral$1.90

Paste your prompt: tokens and cost per model

Rough estimate (about 4 characters per token). Nothing is sent to any server.

76tokens approx.287 characters

Cost of sending it 1,000 times (input only)

  1. 1Llama 3.1 8B Instruct Meta$0.002
  2. 2Ministral 3 3B 2512 Mistral$0.008
  3. 3Claude Haiku 5.5 Anthropic$0.008
  4. 4Claude Sonnet 5.5 Anthropic$0.152
  5. 5Claude Opus 5.5 Anthropic$0.304
  6. 6Claude Opus 5 Anthropic$0.380
  7. 7Claude Fable 5.2 Anthropic$0.608
  8. 8Claude Fable 5.1 Anthropic$0.760

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Frequently asked questions

Which is the better API choice: Llama 3.1 8B Instruct vs Ministral 3 3B 2512?

Llama 3.1 8B Instruct costs 80% less on input and 60% less on output than Ministral 3 3B 2512 ($0.020 / $0.040 versus $0.100 / $0.100 per million tokens). All accept 131 K tokens of context. On capabilities, Ministral 3 3B 2512 accepts images.

Which is cheaper: Llama 3.1 8B Instruct and Ministral 3 3B 2512?

Llama 3.1 8B Instruct is cheaper: $0.020 per million input tokens and $0.040 per million output tokens, versus $0.100 / $0.100 for Ministral 3 3B 2512.

Which has more context: Llama 3.1 8B Instruct and Ministral 3 3B 2512?

Llama 3.1 8B Instruct and Ministral 3 3B 2512 accept the same context: 131 K tokens.

Which is newer: Llama 3.1 8B Instruct and Ministral 3 3B 2512?

Ministral 3 3B 2512 was released on 12/02/2025; Llama 3.1 8B Instruct on 07/23/2024.

What would 10,000 requests a month cost with Llama 3.1 8B Instruct and Ministral 3 3B 2512?

With 1,500 input and 400 output tokens per request: Llama 3.1 8B Instruct: $0.46; Ministral 3 3B 2512: $1.90 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.