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Llama 3.1 405B vs Voxtral Small

Pricing verdict: Llama 3.1 405B vs Voxtral Small: Voxtral Small 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 Voxtral Small for lower token spend and choose Llama 3.1 405B when your workload needs longer context.

Compare API pricing, input and output token costs, context windows, and monthly estimates on one page so you can pick the right model fast.

Meta (via Together AI)
Llama 3.1 405B
vs
Mistral AI
Voxtral Small

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

Voxtral Small

Per Request:$0.000300
Daily:$0.03
Monthly:$0.90
Yearly:$10.95

Cost Differences

$0.004950
Per Request
$0.495
Daily
$14.85
Monthly
$180.675
Yearly

Voxtral Small costs less than Llama 3.1 405B

Feature Comparison

FeatureLlama 3.1 405BVoxtral Small
ProviderMeta (via Together AI)Mistral AI
Input Price$3.50/1M tokens$0.10/1M tokens
Output Price$3.50/1M tokens$0.40/1M tokens
Context Window128,000 tokens32,000 tokens
Max Output32,768 tokens8,192 tokens
Categoryflagshipefficient
Capabilities
textcodereasoning
textaudiotranscription
Release Date7/23/20247/15/2026

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

Choosing between Llama 3.1 405B and Voxtral Small depends on your priorities: cost efficiency, context length, or raw capability. Voxtral Small is the more affordable option at $0.10/1M input tokens — 97% cheaper than Llama 3.1 405B. Meanwhile, Llama 3.1 405B offers a significantly larger context window at 128,000 tokens vs 32,000 for Voxtral 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 3.1 405B is a flagship model while Voxtral Small is efficient. This means they're optimized for different workloads. Llama 3.1 405B is built for complex tasks that require deeper reasoning, while Voxtral Small offers better value for routine operations.

Output costs matter too. Llama 3.1 405B charges $3.50/1M output tokens vs $0.40 for Voxtral Small. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Voxtral Small has the edge here at $0.40/1M output tokens.

Best Use Cases

Choose Llama 3.1 405B when:

  • • You need a larger context window (128,000 tokens)
  • • You need longer outputs (up to 32,768 tokens)
  • • You're already using Meta (via Together AI)'s API ecosystem

Choose Voxtral Small 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 Voxtral Small
  • Higher output cost than Voxtral Small

Voxtral Small

  • Input pricing: $0.10/M tokens
  • Output pricing: $0.40/M tokens
  • Context window: 32,000 tokens
  • Max output: 8,192 tokens

Watch out for

  • Smaller context window than Llama 3.1 405B

Try Different Scenarios

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

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

Voxtral Small (Mistral AI)

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Start using Voxtral Small today

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Frequently Asked Questions

Which is cheaper, Llama 3.1 405B or Voxtral Small?
Voxtral Small 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 Voxtral Small?
Llama 3.1 405B supports 128,000 tokens while Voxtral Small supports 32,000 tokens — a difference of 96,000 tokens in favor of Llama 3.1 405B.
Which model is better for AI Chatbot?
Both models support text. For ai chatbot, Voxtral Small is the lower-cost option, while Llama 3.1 405B offers a larger context window (128,000 vs 32,000 tokens). Choose Voxtral Small 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 Voxtral Small costs about $0.90/month. Overall, Voxtral Small has lower combined input + output rates ($0.10 in, $0.40 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.

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