Llama 4 Scout vs Ministral 3 14B

Llama 4 Scout vs Ministral 3 14B: Llama 4 Scout is cheaper for input-heavy usage ($0.08/M vs $0.20/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

Mistral AI

Ministral 3 14B

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Llama 4 Scout pricing page Ministral 3 14B pricing page Meta (via Together AI) provider overview Mistral AI provider overview

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 14B

Per Request:$0.000300

Daily:$0.03

Monthly:$0.90

Yearly:$10.95

Cost Differences

+$0.000070

Per Request

+$0.007000

Daily

+$0.21

Monthly

+$2.555

Yearly

Ministral 3 14B costs more than Llama 4 Scout

Quick Recommendation

Winner for direct API pricing: Llama 4 Scout. At the default workload, Llama 4 Scout saves about $0.21/month ($2.555/year) versus Ministral 3 14B.

Llama 4 Scout full pricing breakdown Ministral 3 14B full pricing breakdown Meta (via Together AI) API pricing details Mistral AI API pricing details Meta (via Together AI) vs Mistral AI API pricing Codex Mini vs Mistral Medium 3.5 Codex Mini vs Mistral Large 3

Feature Comparison

Feature	Llama 4 Scout	Ministral 3 14B
Provider	Meta (via Together AI)	Mistral AI
Input Price	$0.08/1M tokens	$0.20/1M tokens
Output Price	$0.30/1M tokens	$0.20/1M tokens
Context Window	10,000,000 tokens	256,000 tokens
Max Output	32,768 tokens	32,768 tokens
Category	efficient	balanced
Capabilities	textvisioncode	textvision
Release Date	4/5/2025	12/2/2025

Llama 4 Scout vs Ministral 3 14B: Which Should You Choose?

Choosing between Llama 4 Scout and Ministral 3 14B 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 — 60% cheaper than Ministral 3 14B. Meanwhile, Llama 4 Scout offers a significantly larger context window at 10,000,000 tokens vs 256,000 for Ministral 3 14B.

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 Ministral 3 14B is balanced. This means they're optimized for different workloads. Ministral 3 14B 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 $0.20 for Ministral 3 14B. 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: 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 14B 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

• Higher output cost than Ministral 3 14B

Ministral 3 14B

• Input pricing: $0.20/M tokens
• Output pricing: $0.20/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))

Cost Calculator

Provider

Model

Input Tokens

Output Tokens

Requests/Day

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Ministral 3 14B (Mistral AI)

Cost Calculator

Provider

Model

Input Tokens

Output Tokens

Requests/Day

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Start using Llama 4 Scout today

Start using Ministral 3 14B today

Frequently Asked Questions

Which is cheaper, Llama 4 Scout or Ministral 3 14B?▼

Llama 4 Scout is cheaper for input tokens at $0.08 per million tokens vs $0.20 for Ministral 3 14B — that's 60% savings on input costs.

What is the context window difference between Llama 4 Scout and Ministral 3 14B?▼

Llama 4 Scout supports 10,000,000 tokens while Ministral 3 14B 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, Llama 4 Scout is the lower-cost option, while Llama 4 Scout offers a larger context window (10,000,000 vs 256,000 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 Ministral 3 14B costs about $0.90/month. Overall, Llama 4 Scout has lower combined input + output rates ($0.08 in, $0.30 out) vs Ministral 3 14B.

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.