Codestral vs Llama 4 Scout

Codestral vs Llama 4 Scout: Llama 4 Scout is cheaper for input-heavy usage ($0.08/M vs $0.30/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.

Mistral AI

Codestral

Meta (via Together AI)

Llama 4 Scout

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Codestral pricing page Llama 4 Scout pricing page Mistral AI provider overview Meta (via Together AI) provider overview

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

Codestral

Per Request:$0.000750

Daily:$0.075

Monthly:$2.25

Yearly:$27.375

Llama 4 Scout

Per Request:$0.000230

Daily:$0.023

Monthly:$0.69

Yearly:$8.395

Cost Differences

$0.000520

Per Request

$0.052

Daily

$1.56

Monthly

$18.98

Yearly

Llama 4 Scout costs less than Codestral

Quick Recommendation

Winner for direct API pricing: Llama 4 Scout. At the default workload, Llama 4 Scout saves about $1.56/month ($18.98/year) versus Codestral.

Codestral full pricing breakdown Llama 4 Scout full pricing breakdown Mistral AI API pricing details Meta (via Together AI) API pricing details Mistral AI vs Meta (via Together AI) API pricing Codex Mini vs Mistral Medium 3.5 Codex Mini vs Mistral Large 3

Feature Comparison

Feature	Codestral	Llama 4 Scout
Provider	Mistral AI	Meta (via Together AI)
Input Price	$0.30/1M tokens	$0.08/1M tokens
Output Price	$0.90/1M tokens	$0.30/1M tokens
Context Window	128,000 tokens	10,000,000 tokens
Max Output	32,768 tokens	32,768 tokens
Category	balanced	efficient
Capabilities	textcode	textvisioncode
Release Date	7/30/2025	4/5/2025

Codestral vs Llama 4 Scout: Which Should You Choose?

Choosing between Codestral and Llama 4 Scout depends on your priorities: cost efficiency, context length, or raw capability. Llama 4 Scout is the more affordable option at $0.08/1M input tokens — 73% cheaper than Codestral. Meanwhile, Llama 4 Scout offers a significantly larger context window at 10,000,000 tokens vs 128,000 for Codestral.

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

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

Output costs matter too. Codestral charges $0.90/1M output tokens vs $0.30 for Llama 4 Scout. 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 Codestral is text-only. If your application needs image understanding, this narrows your choice.

Best Use Cases

Choose Codestral when:

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

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

Pros and Caveats at a Glance

Codestral

• Input pricing: $0.30/M tokens
• Output pricing: $0.90/M tokens
• Context window: 128,000 tokens
• Max output: 32,768 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

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.

Try Different Scenarios

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

Codestral (Mistral AI)

Cost Calculator

Provider

Model

Input Tokens

Output Tokens

Requests/Day

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Llama 4 Scout (Meta (via Together AI))

Cost Calculator

Provider

Model

Input Tokens

Output Tokens

Requests/Day

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Start using Codestral today

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Frequently Asked Questions

Which is cheaper, Codestral or Llama 4 Scout?▼

Llama 4 Scout is cheaper for input tokens at $0.08 per million tokens vs $0.30 for Codestral — that's 73% savings on input costs.

What is the context window difference between Codestral and Llama 4 Scout?▼

Codestral supports 128,000 tokens while Llama 4 Scout supports 10,000,000 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, Codestral costs about $2.25/month and Llama 4 Scout costs about $0.69/month. Overall, Llama 4 Scout has lower combined input + output rates ($0.08 in, $0.30 out) vs Codestral.

Where can I compare Mistral AI and Meta (via Together AI) API pricing beyond this model matchup?▼

See the Mistral AI vs Meta (via Together AI) provider comparison page for lineup-level averages, then review each model page for exact per-token rates.