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Llama 4 Scout vs Ministral 3 8B

Llama 4 Scout vs Ministral 3 8B: Llama 4 Scout is cheaper for input-heavy usage ($0.08/M vs $0.15/M input tokens), while Llama 4 Scout is better for long-context tasks (10,000,000 tokens).

Direct answer: choose Llama 4 Scout for lower token spend and choose Llama 4 Scout 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 4 Scout
vs
Mistral AI
Ministral 3 8B

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

Llama 4 Scout

Per Request:$0.000230
Daily:$0.023
Monthly:$0.69
Yearly:$8.395

Ministral 3 8B

Per Request:$0.000225
Daily:$0.0225
Monthly:$0.675
Yearly:$8.2125

Cost Differences

$0.000005
Per Request
$0.000500
Daily
$0.015
Monthly
$0.1825
Yearly

Ministral 3 8B costs less than Llama 4 Scout

Feature Comparison

FeatureLlama 4 ScoutMinistral 3 8B
ProviderMeta (via Together AI)Mistral AI
Input Price$0.08/1M tokens$0.15/1M tokens
Output Price$0.30/1M tokens$0.15/1M tokens
Context Window10,000,000 tokens256,000 tokens
Max Output32,768 tokens32,768 tokens
Categoryefficientefficient
Capabilities
textvisioncode
textvision
Release Date4/5/202512/2/2025

Llama 4 Scout vs Ministral 3 8B: Which Should You Choose?

Choosing between Llama 4 Scout and Ministral 3 8B depends on your priorities: cost efficiency, context length, or raw capability. Ministral 3 8B is the more affordable option at $0.15/1M input tokens. Meanwhile, Llama 4 Scout offers a significantly larger context window at 10,000,000 tokens vs 256,000 for Ministral 3 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 8B would save you roughly $1.50/month compared to Llama 4 Scout. For startups and indie developers, that difference can be significant.

Output costs matter too. Llama 4 Scout charges $0.30/1M output tokens vs $0.15 for Ministral 3 8B. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Ministral 3 8B has the edge here at $0.15/1M output tokens.

Multimodal capabilities: Both models support vision (image understanding), so you can send images alongside text prompts with either option.

Best Use Cases

Choose Llama 4 Scout when:

  • • Budget is a primary concern
  • • You need a larger context window (10,000,000 tokens)
  • • You need more capabilities (code)
  • • You're already using Meta (via Together AI)'s API ecosystem
  • • You're running high-volume, latency-sensitive workloads

Choose Ministral 3 8B when:

  • • You're already using Mistral AI's API ecosystem
  • • You're running high-volume, latency-sensitive workloads

Pros and Caveats at a Glance

Llama 4 Scout

  • Input pricing: $0.08/M tokens
  • Output pricing: $0.30/M tokens
  • Context window: 10,000,000 tokens
  • Max output: 32,768 tokens

Watch out for

  • Higher output cost than Ministral 3 8B

Ministral 3 8B

  • Input pricing: $0.15/M tokens
  • Output pricing: $0.15/M tokens
  • Context window: 256,000 tokens
  • Max output: 32,768 tokens

Watch out for

  • Higher input cost than Llama 4 Scout
  • Smaller context window than Llama 4 Scout

Try Different Scenarios

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

Llama 4 Scout (Meta (via Together AI))

Ministral 3 8B (Mistral AI)

Start using Llama 4 Scout today

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Start using Ministral 3 8B today

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Frequently Asked Questions

Which is cheaper, Llama 4 Scout or Ministral 3 8B?
Ministral 3 8B is cheaper for input tokens at $0.15 per million tokens vs $0.08 for Llama 4 Scout.
What is the context window difference between Llama 4 Scout and Ministral 3 8B?
Llama 4 Scout supports 10,000,000 tokens while Ministral 3 8B supports 256,000 tokens — a difference of 9,744,000 tokens in favor of Llama 4 Scout.
Which model is better for AI Chatbot?
Both models support text. For ai chatbot, Ministral 3 8B is the lower-cost option, while Llama 4 Scout offers a larger context window (10,000,000 vs 256,000 tokens). Choose Ministral 3 8B for budget sensitivity or Llama 4 Scout 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 4 Scout costs about $0.69/month and Ministral 3 8B costs about $0.675/month. Overall, Ministral 3 8B has lower combined input + output rates ($0.15 in, $0.15 out) vs Llama 4 Scout.
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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