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Llama 3.1 8B vs Ministral 3 3B

Llama 3.1 8B vs Ministral 3 3B: Ministral 3 3B is cheaper for input-heavy usage ($0.10/M vs $0.18/M input tokens), while Ministral 3 3B is better for long-context tasks (256,000 tokens).

Direct answer: choose Ministral 3 3B for lower token spend and choose Ministral 3 3B when your workload needs longer context.

Compare input and output token pricing, context windows, and monthly cost estimates on one page so you can pick the cheaper model fast.

Meta (via Together AI)
Llama 3.1 8B
vs
Mistral AI
Ministral 3 3B

Cost Comparison (1000 input + 500 output tokens, 100 requests/day)

Llama 3.1 8B

Per Request:$0.000270
Daily:$0.027
Monthly:$0.81
Yearly:$9.855

Ministral 3 3B

Per Request:$0.000150
Daily:$0.015
Monthly:$0.45
Yearly:$5.475

Cost Differences

$0.000120
Per Request
$0.012
Daily
$0.36
Monthly
$4.38
Yearly

Ministral 3 3B costs less than Llama 3.1 8B

Feature Comparison

FeatureLlama 3.1 8BMinistral 3 3B
ProviderMeta (via Together AI)Mistral AI
Input Price$0.18/1M tokens$0.10/1M tokens
Output Price$0.18/1M tokens$0.10/1M tokens
Context Window128,000 tokens256,000 tokens
Max Output32,768 tokens32,768 tokens
Categoryefficientefficient
Capabilities
textcode
textvision
Release Date7/23/202412/2/2025

Llama 3.1 8B vs Ministral 3 3B: Which Should You Choose?

Choosing between Llama 3.1 8B and Ministral 3 3B depends on your priorities: cost efficiency, context length, or raw capability. Ministral 3 3B is the more affordable option at $0.10/1M input tokens44% cheaper than Llama 3.1 8B. Meanwhile, Ministral 3 3B offers a significantly larger context window at 256,000 tokens vs 128,000 for Llama 3.1 8B.

These models come from different providers — Meta (via Together AI) and Mistral AI — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with Meta (via Together AI), switching to Mistral AIinvolves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.

Both models are in the efficient category, making this a direct head-to-head comparison. At scale — say 10,000 requests per day — the cost difference adds up: Ministral 3 3B would save you roughly $36.00/month compared to Llama 3.1 8B. For startups and indie developers, that difference can be significant.

Output costs matter too. Llama 3.1 8B charges $0.18/1M output tokens vs $0.10 for Ministral 3 3B. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Ministral 3 3B has the edge here at $0.10/1M output tokens.

Multimodal capabilities: Ministral 3 3B supports vision (image inputs) while Llama 3.1 8B is text-only. If your application needs image understanding, this narrows your choice.

Best Use Cases

Choose Llama 3.1 8B when:

  • • You're already using Meta (via Together AI)'s API ecosystem
  • • You're running high-volume, latency-sensitive workloads

Choose Ministral 3 3B when:

  • • Budget is a primary concern
  • • You need a larger context window (256,000 tokens)
  • • You're already using Mistral AI's API ecosystem
  • • You're running high-volume, latency-sensitive workloads

Pros and Caveats at a Glance

Llama 3.1 8B

  • Input pricing: $0.18/M tokens
  • Output pricing: $0.18/M tokens
  • Context window: 128,000 tokens
  • Max output: 32,768 tokens

Watch out for

  • Higher input cost than Ministral 3 3B
  • Higher output cost than Ministral 3 3B
  • Smaller context window than Ministral 3 3B

Ministral 3 3B

  • Input pricing: $0.10/M tokens
  • Output pricing: $0.10/M tokens
  • Context window: 256,000 tokens
  • Max output: 32,768 tokens

Watch out for

  • Trade-offs are minor in this matchup.

Try Different Scenarios

Use the calculator below to see how costs change with different usage patterns

Llama 3.1 8B (Meta (via Together AI))

Ministral 3 3B (Mistral AI)

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Frequently Asked Questions

Which is cheaper, Llama 3.1 8B or Ministral 3 3B?
Ministral 3 3B is cheaper for input tokens at $0.10 per million tokens vs $0.18 for Llama 3.1 8B — that's 44% savings on input costs.
What is the context window difference between Llama 3.1 8B and Ministral 3 3B?
Llama 3.1 8B supports 128,000 tokens while Ministral 3 3B supports 256,000 tokens — a difference of 128,000 tokens in favor of Ministral 3 3B.
Which model is better for AI Chatbot?
Both models support text. For ai chatbot, Ministral 3 3B is the lower-cost option, while Ministral 3 3B offers a larger context window (256,000 vs 128,000 tokens). Choose Ministral 3 3B for budget sensitivity or Ministral 3 3B for longer context tasks.
Which model has better overall pricing for heavy usage?
At 100 requests/day with 1,000 input and 500 output tokens each, Llama 3.1 8B costs about $0.81/month and Ministral 3 3B costs about $0.45/month. Overall, Ministral 3 3B has lower combined input + output rates ($0.10 in, $0.10 out) vs Llama 3.1 8B.
Where can I compare Meta (via Together AI) and Mistral AI API pricing beyond this model matchup?
See the Meta (via Together AI) vs Mistral AI provider comparison page for lineup-level averages, then review each model page for exact per-token rates.

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