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Llama 3.1 8B vs Mistral Small 3.2

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

Meta (via Together AI)
Llama 3.1 8B
vs
Mistral AI
Mistral Small 3.2

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

Llama 3.1 8B

Per Request:$0.000270
Daily:$0.027
Monthly:$0.81
Yearly:$9.855

Mistral Small 3.2

Per Request:$0.000150
Daily:$0.015
Monthly:$0.45
Yearly:$5.475

Cost Differences

$0.000120
Per Request
$0.012
Daily
$0.36
Monthly
$4.38
Yearly

Mistral Small 3.2 costs less than Llama 3.1 8B

Feature Comparison

FeatureLlama 3.1 8BMistral Small 3.2
ProviderMeta (via Together AI)Mistral AI
Input Price$0.18/1M tokens$0.06/1M tokens
Output Price$0.18/1M tokens$0.18/1M tokens
Context Window128,000 tokens128,000 tokens
Max Output32,768 tokens8,192 tokens
Categoryefficientefficient
Capabilities
textcode
textcode
Release Date7/23/202412/2/2025

Llama 3.1 8B vs Mistral Small 3.2: Which Should You Choose?

Choosing between Llama 3.1 8B 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 $0.06/1M input tokens67% cheaper than Llama 3.1 8B.

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.

Both models are in the efficient category, making this a direct head-to-head comparison. At scale — say 10,000 requests per day — the cost difference adds up: Mistral Small 3.2 would save you roughly $36.00/month compared to Llama 3.1 8B. For startups and indie developers, that difference can be significant.

Output costs matter too. Llama 3.1 8B charges $0.18/1M output tokens vs $0.18 for Mistral Small 3.2.

Best Use Cases

Choose Llama 3.1 8B when:

  • • You need longer outputs (up to 32,768 tokens)
  • • You're already using Meta (via Together AI)'s API ecosystem
  • • You're running high-volume, latency-sensitive workloads

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

Try Different Scenarios

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

Llama 3.1 8B (Meta (via Together AI))

Mistral Small 3.2 (Mistral AI)

Start using Llama 3.1 8B today

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Start using Mistral Small 3.2 today

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Frequently Asked Questions

Which is cheaper, Llama 3.1 8B or Mistral Small 3.2?
Mistral Small 3.2 is cheaper for input tokens at $0.06 per million tokens vs $0.18 for Llama 3.1 8B — that's 67% savings on input costs.
What is the context window difference between Llama 3.1 8B and Mistral Small 3.2?
Llama 3.1 8B supports 128,000 tokens while Mistral Small 3.2 supports 128,000 tokens — a difference of 0 tokens in favor of Llama 3.1 8B.
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 8B offers a larger context window (128,000 vs 128,000 tokens). Choose Mistral Small 3.2 for budget sensitivity or Llama 3.1 8B 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 8B costs about $0.81/month and Mistral Small 3.2 costs about $0.45/month. Overall, Mistral Small 3.2 has lower combined input + output rates ($0.06 in, $0.18 out) vs Llama 3.1 8B.

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