Codestral vs Llama 3.1 405B

Compare Mistral AI and Meta (via Together AI) AI models

Mistral AI

Codestral

Meta (via Together AI)

Llama 3.1 405B

Try Mistral AI →Try Meta (via Together AI) →

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 3.1 405B

Per Request:$0.005250

Daily:$0.525

Monthly:$15.75

Yearly:$191.625

Cost Differences

+$0.004500

Per Request

+$0.45

Daily

+$13.50

Monthly

+$164.25

Yearly

Llama 3.1 405B costs more than Codestral

Feature Comparison

Feature	Codestral	Llama 3.1 405B
Provider	Mistral AI	Meta (via Together AI)
Input Price	$0.30/1M tokens	$3.50/1M tokens
Output Price	$0.90/1M tokens	$3.50/1M tokens
Context Window	128,000 tokens	128,000 tokens
Max Output	32,768 tokens	32,768 tokens
Category	balanced	flagship
Capabilities	textcode	textcodereasoning
Release Date	7/30/2025	7/23/2024

Codestral vs Llama 3.1 405B: Which Should You Choose?

Choosing between Codestral and Llama 3.1 405B depends on your priorities: cost efficiency, context length, or raw capability. Codestral is the more affordable option at $0.30/1M input tokens — 91% cheaper than Llama 3.1 405B.

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 3.1 405B is flagship. This means they're optimized for different workloads. Llama 3.1 405B 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 $3.50 for Llama 3.1 405B. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Codestral has the edge here at $0.90/1M output tokens.

Best Use Cases

Choose Codestral when:

• Budget is a primary concern
• You're already using Mistral AI's API ecosystem

Choose Llama 3.1 405B when:

• You need more capabilities (reasoning)
• You're already using Meta (via Together AI)'s API ecosystem

Try Different Scenarios

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

Codestral (Mistral AI)

Cost Calculator

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Model

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Output Tokens

Requests/Day

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Llama 3.1 405B (Meta (via Together AI))

Cost Calculator

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Input Tokens

Output Tokens

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Start using Codestral today

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Frequently Asked Questions

Which is cheaper, Codestral or Llama 3.1 405B?▼

Codestral is cheaper for input tokens at $0.30 per million tokens vs $3.50 for Llama 3.1 405B — that's 91% savings on input costs.

What is the context window difference between Codestral and Llama 3.1 405B?▼

Codestral supports 128,000 tokens while Llama 3.1 405B supports 128,000 tokens — a difference of 0 tokens in favor of Codestral.

Which model is better for AI Chatbot?▼

Both models support text. For ai chatbot, Codestral is the lower-cost option, while Codestral offers a larger context window (128,000 vs 128,000 tokens). Choose Codestral for budget sensitivity or Codestral 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 3.1 405B costs about $15.75/month. Overall, Codestral has lower combined input + output rates ($0.30 in, $0.90 out) vs Llama 3.1 405B.