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Llama 3.3 70B vs Magistral Medium

Llama 3.3 70B vs Magistral Medium: Llama 3.3 70B is cheaper for input-heavy usage ($0.88/M vs $2.00/M input tokens), while Llama 3.3 70B is better for long-context tasks (131,072 tokens).

Direct answer: choose Llama 3.3 70B for lower token spend and choose Llama 3.3 70B 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 3.3 70B
vs
Mistral AI
Magistral Medium

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

Llama 3.3 70B

Per Request:$0.001320
Daily:$0.132
Monthly:$3.96
Yearly:$48.18

Magistral Medium

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

Cost Differences

+$0.003180
Per Request
+$0.318
Daily
+$9.54
Monthly
+$116.07
Yearly

Magistral Medium costs more than Llama 3.3 70B

Feature Comparison

FeatureLlama 3.3 70BMagistral Medium
ProviderMeta (via Together AI)Mistral AI
Input Price$0.88/1M tokens$2.00/1M tokens
Output Price$0.88/1M tokens$5.00/1M tokens
Context Window131,072 tokens128,000 tokens
Max Output4,096 tokens32,768 tokens
Categorystandardreasoning
Capabilities
textcode
textreasoning
Release Date12/6/202412/15/2025

Llama 3.3 70B vs Magistral Medium: Which Should You Choose?

Choosing between Llama 3.3 70B and Magistral Medium depends on your priorities: cost efficiency, context length, or raw capability. Llama 3.3 70B is the more affordable option at $0.88/1M input tokens56% cheaper than Magistral Medium. Meanwhile, Llama 3.3 70B offers a significantly larger context window at 131,072 tokens vs 128,000 for 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 3.3 70B is a standard model while Magistral Medium is reasoning. This means they're optimized for different workloads. Magistral Medium targets more demanding workloads, while Llama 3.3 70B provides a cost-effective option for everyday tasks.

Output costs matter too. Llama 3.3 70B charges $0.88/1M output tokens vs $5.00 for Magistral Medium. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Llama 3.3 70B has the edge here at $0.88/1M output tokens.

Best Use Cases

Choose Llama 3.3 70B when:

  • • Budget is a primary concern
  • • You need a larger context window (131,072 tokens)
  • • You're already using Meta (via Together AI)'s API ecosystem

Choose Magistral Medium when:

  • • You need longer outputs (up to 32,768 tokens)
  • • You're already using Mistral AI's API ecosystem

Pros and Caveats at a Glance

Llama 3.3 70B

  • Input pricing: $0.88/M tokens
  • Output pricing: $0.88/M tokens
  • Context window: 131,072 tokens
  • Max output: 4,096 tokens

Watch out for

  • Trade-offs are minor in this matchup.

Magistral Medium

  • Input pricing: $2.00/M tokens
  • Output pricing: $5.00/M tokens
  • Context window: 128,000 tokens
  • Max output: 32,768 tokens

Watch out for

  • Higher input cost than Llama 3.3 70B
  • Higher output cost than Llama 3.3 70B
  • Smaller context window than Llama 3.3 70B

Try Different Scenarios

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

Llama 3.3 70B (Meta (via Together AI))

Magistral Medium (Mistral AI)

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Frequently Asked Questions

Which is cheaper, Llama 3.3 70B or Magistral Medium?
Llama 3.3 70B is cheaper for input tokens at $0.88 per million tokens vs $2.00 for Magistral Medium — that's 56% savings on input costs.
What is the context window difference between Llama 3.3 70B and Magistral Medium?
Llama 3.3 70B supports 131,072 tokens while Magistral Medium supports 128,000 tokens — a difference of 3,072 tokens in favor of Llama 3.3 70B.
Which model is better for AI Chatbot?
Both models support text. For ai chatbot, Llama 3.3 70B is the lower-cost option, while Llama 3.3 70B offers a larger context window (131,072 vs 128,000 tokens). Choose Llama 3.3 70B for budget sensitivity or Llama 3.3 70B 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 3.3 70B costs about $3.96/month and Magistral Medium costs about $13.50/month. Overall, Llama 3.3 70B has lower combined input + output rates ($0.88 in, $0.88 out) vs Magistral Medium.
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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