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Llama 4 Scout vs Magistral Small

Llama 4 Scout vs Magistral Small: Llama 4 Scout is cheaper for input-heavy usage ($0.08/M vs $0.50/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
Magistral Small

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

Magistral Small

Per Request:$0.001250
Daily:$0.125
Monthly:$3.75
Yearly:$45.625

Cost Differences

+$0.001020
Per Request
+$0.102
Daily
+$3.06
Monthly
+$37.23
Yearly

Magistral Small costs more than Llama 4 Scout

Feature Comparison

FeatureLlama 4 ScoutMagistral Small
ProviderMeta (via Together AI)Mistral AI
Input Price$0.08/1M tokens$0.50/1M tokens
Output Price$0.30/1M tokens$1.50/1M tokens
Context Window10,000,000 tokens128,000 tokens
Max Output32,768 tokens16,384 tokens
Categoryefficientreasoning
Capabilities
textvisioncode
textreasoning
Release Date4/5/202512/15/2025

Llama 4 Scout vs Magistral Small: Which Should You Choose?

Choosing between Llama 4 Scout and Magistral Small depends on your priorities: cost efficiency, context length, or raw capability. Llama 4 Scout is the more affordable option at $0.08/1M input tokens84% cheaper than Magistral Small. Meanwhile, Llama 4 Scout offers a significantly larger context window at 10,000,000 tokens vs 128,000 for Magistral Small.

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.

These models target different tiers: Llama 4 Scout is a efficient model while Magistral Small is reasoning. This means they're optimized for different workloads. Magistral Small targets more demanding workloads, while Llama 4 Scout provides a cost-effective option for everyday tasks.

Output costs matter too. Llama 4 Scout charges $0.30/1M output tokens vs $1.50 for Magistral Small. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Llama 4 Scout has the edge here at $0.30/1M output tokens.

Multimodal capabilities: Llama 4 Scout supports vision (image inputs) while Magistral Small is text-only. If your application needs image understanding, this narrows your choice.

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 (vision, code)
  • • You need longer outputs (up to 32,768 tokens)
  • • You're already using Meta (via Together AI)'s API ecosystem
  • • You're running high-volume, latency-sensitive workloads

Choose Magistral Small when:

  • • You're already using Mistral AI's API ecosystem

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

  • Trade-offs are minor in this matchup.

Magistral Small

  • Input pricing: $0.50/M tokens
  • Output pricing: $1.50/M tokens
  • Context window: 128,000 tokens
  • Max output: 16,384 tokens

Watch out for

  • Higher input cost than Llama 4 Scout
  • Higher output 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))

Magistral Small (Mistral AI)

Start using Llama 4 Scout today

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Start using Magistral Small today

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Frequently Asked Questions

Which is cheaper, Llama 4 Scout or Magistral Small?
Llama 4 Scout is cheaper for input tokens at $0.08 per million tokens vs $0.50 for Magistral Small — that's 84% savings on input costs.
What is the context window difference between Llama 4 Scout and Magistral Small?
Llama 4 Scout supports 10,000,000 tokens while Magistral Small supports 128,000 tokens — a difference of 9,872,000 tokens in favor of Llama 4 Scout.
Which model is better for AI Chatbot?
Both models support text. For ai chatbot, Llama 4 Scout is the lower-cost option, while Llama 4 Scout offers a larger context window (10,000,000 vs 128,000 tokens). Choose Llama 4 Scout 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 Magistral Small costs about $3.75/month. Overall, Llama 4 Scout has lower combined input + output rates ($0.08 in, $0.30 out) vs Magistral Small.
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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