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Llama 3.1 8B vs Magistral Medium

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

Meta (via Together AI)
Llama 3.1 8B
vs
Mistral AI
Magistral Medium

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

Magistral Medium

Per Request:$0.004500
Daily:$0.45
Monthly:$13.50
Yearly:$164.25

Cost Differences

+$0.004230
Per Request
+$0.423
Daily
+$12.69
Monthly
+$154.395
Yearly

Magistral Medium costs more than Llama 3.1 8B

Feature Comparison

FeatureLlama 3.1 8BMagistral Medium
ProviderMeta (via Together AI)Mistral AI
Input Price$0.18/1M tokens$2.00/1M tokens
Output Price$0.18/1M tokens$5.00/1M tokens
Context Window128,000 tokens128,000 tokens
Max Output32,768 tokens32,768 tokens
Categoryefficientreasoning
Capabilities
textcode
textreasoning
Release Date7/23/202412/15/2025

Llama 3.1 8B vs Magistral Medium: Which Should You Choose?

Choosing between Llama 3.1 8B and Magistral Medium depends on your priorities: cost efficiency, context length, or raw capability. Llama 3.1 8B is the more affordable option at $0.18/1M input tokens91% cheaper than Magistral Medium.

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 8B is a efficient model while Magistral Medium is reasoning. This means they're optimized for different workloads. Magistral Medium targets more demanding workloads, while Llama 3.1 8B provides a cost-effective option for everyday tasks.

Output costs matter too. Llama 3.1 8B charges $0.18/1M output tokens vs $5.00 for Magistral Medium. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Llama 3.1 8B has the edge here at $0.18/1M output tokens.

Best Use Cases

Choose Llama 3.1 8B when:

  • • Budget is a primary concern
  • • You're already using Meta (via Together AI)'s API ecosystem
  • • You're running high-volume, latency-sensitive workloads

Choose Magistral Medium when:

  • • You're already using Mistral AI's API ecosystem

Try Different Scenarios

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

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

Magistral Medium (Mistral AI)

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Frequently Asked Questions

Which is cheaper, Llama 3.1 8B or Magistral Medium?
Llama 3.1 8B is cheaper for input tokens at $0.18 per million tokens vs $2.00 for Magistral Medium — that's 91% savings on input costs.
What is the context window difference between Llama 3.1 8B and Magistral Medium?
Llama 3.1 8B supports 128,000 tokens while Magistral Medium 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, Llama 3.1 8B is the lower-cost option, while Llama 3.1 8B offers a larger context window (128,000 vs 128,000 tokens). Choose Llama 3.1 8B 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 Magistral Medium costs about $13.50/month. Overall, Llama 3.1 8B has lower combined input + output rates ($0.18 in, $0.18 out) vs Magistral Medium.

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