Llama 3.1 405B vs Mistral Small 3.2

Llama 3.1 405B vs Mistral Small 3.2: Mistral Small 3.2 is cheaper for input-heavy usage ($0.10/M vs $3.50/M input tokens), while Llama 3.1 405B is better for long-context tasks (128,000 tokens).

Direct answer: choose Mistral Small 3.2 for lower token spend and choose Llama 3.1 405B 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 3.1 405B

Mistral AI

Mistral Small 3.2

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Llama 3.1 405B pricing page Mistral Small 3.2 pricing page Meta (via Together AI) provider overview Mistral AI provider overview

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

Llama 3.1 405B

Per Request:$0.005250

Daily:$0.525

Monthly:$15.75

Yearly:$191.625

Mistral Small 3.2

Per Request:$0.000250

Daily:$0.025

Monthly:$0.75

Yearly:$9.125

Cost Differences

$0.005000

Per Request

$0.50

Daily

$15.00

Monthly

$182.50

Yearly

Mistral Small 3.2 costs less than Llama 3.1 405B

Quick Recommendation

Winner for direct API pricing: Mistral Small 3.2. At the default workload, Mistral Small 3.2 saves about $15.00/month ($182.50/year) versus Llama 3.1 405B.

Llama 3.1 405B full pricing breakdown Mistral Small 3.2 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 3.1 405B	Mistral Small 3.2
Provider	Meta (via Together AI)	Mistral AI
Input Price	$3.50/1M tokens	$0.10/1M tokens
Output Price	$3.50/1M tokens	$0.30/1M tokens
Context Window	128,000 tokens	128,000 tokens
Max Output	32,768 tokens	8,192 tokens
Category	flagship	efficient
Capabilities	textcodereasoning	textcode
Release Date	7/23/2024	12/2/2025

Llama 3.1 405B vs Mistral Small 3.2: Which Should You Choose?

Choosing between Llama 3.1 405B and Mistral Small 3.2 depends on your priorities: cost efficiency, context length, or raw capability. Mistral Small 3.2 is the more affordable option at $0.10/1M input tokens — 97% cheaper than Llama 3.1 405B.

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 3.1 405B is a flagship model while Mistral Small 3.2 is efficient. This means they're optimized for different workloads. Llama 3.1 405B is built for complex tasks that require deeper reasoning, while Mistral Small 3.2 offers better value for routine operations.

Output costs matter too. Llama 3.1 405B charges $3.50/1M output tokens vs $0.30 for Mistral Small 3.2. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Mistral Small 3.2 has the edge here at $0.30/1M output tokens.

Best Use Cases

Choose Llama 3.1 405B when:

• You need more capabilities (reasoning)
• You need longer outputs (up to 32,768 tokens)
• You're already using Meta (via Together AI)'s API ecosystem

Choose Mistral Small 3.2 when:

• Budget is a primary concern
• You're already using Mistral AI's API ecosystem
• You're running high-volume, latency-sensitive workloads

Pros and Caveats at a Glance

Llama 3.1 405B

• Input pricing: $3.50/M tokens
• Output pricing: $3.50/M tokens
• Context window: 128,000 tokens
• Max output: 32,768 tokens

Watch out for

• Higher input cost than Mistral Small 3.2
• Higher output cost than Mistral Small 3.2

Mistral Small 3.2

• Input pricing: $0.10/M tokens
• Output pricing: $0.30/M tokens
• Context window: 128,000 tokens
• Max output: 8,192 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

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

Cost Calculator

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Mistral Small 3.2 (Mistral AI)

Cost Calculator

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Frequently Asked Questions

Which is cheaper, Llama 3.1 405B or Mistral Small 3.2?▼

Mistral Small 3.2 is cheaper for input tokens at $0.10 per million tokens vs $3.50 for Llama 3.1 405B — that's 97% savings on input costs.

What is the context window difference between Llama 3.1 405B and Mistral Small 3.2?▼

Llama 3.1 405B supports 128,000 tokens while Mistral Small 3.2 supports 128,000 tokens — a difference of 0 tokens in favor of Llama 3.1 405B.

Which model is better for AI Chatbot?▼

Both models support text. For ai chatbot, Mistral Small 3.2 is the lower-cost option, while Llama 3.1 405B offers a larger context window (128,000 vs 128,000 tokens). Choose Mistral Small 3.2 for budget sensitivity or Llama 3.1 405B 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 3.1 405B costs about $15.75/month and Mistral Small 3.2 costs about $0.75/month. Overall, Mistral Small 3.2 has lower combined input + output rates ($0.10 in, $0.30 out) vs Llama 3.1 405B.

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.