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Llama 3.3 70B vs Mistral Medium 3

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

Meta (via Together AI)
Llama 3.3 70B
vs
Mistral AI
Mistral Medium 3

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

Mistral Medium 3

Per Request:$0.001400
Daily:$0.14
Monthly:$4.20
Yearly:$51.10

Cost Differences

+$0.000080
Per Request
+$0.008000
Daily
+$0.24
Monthly
+$2.92
Yearly

Mistral Medium 3 costs more than Llama 3.3 70B

Feature Comparison

FeatureLlama 3.3 70BMistral Medium 3
ProviderMeta (via Together AI)Mistral AI
Input Price$0.88/1M tokens$0.40/1M tokens
Output Price$0.88/1M tokens$2.00/1M tokens
Context Window131,072 tokens128,000 tokens
Max Output4,096 tokens16,384 tokens
Categorystandardbalanced
Capabilities
textcode
textcode
Release Date12/6/20245/7/2025

Llama 3.3 70B vs Mistral Medium 3: Which Should You Choose?

Choosing between Llama 3.3 70B and Mistral Medium 3 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 tokens. Meanwhile, Llama 3.3 70B offers a significantly larger context window at 131,072 tokens vs 128,000 for Mistral Medium 3.

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 Mistral Medium 3 is balanced. This means they're optimized for different workloads. Mistral Medium 3 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 $2.00 for Mistral Medium 3. 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:

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

Choose Mistral Medium 3 when:

  • • Budget is a primary concern
  • • You need longer outputs (up to 16,384 tokens)
  • • 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 3.3 70B (Meta (via Together AI))

Mistral Medium 3 (Mistral AI)

Start using Llama 3.3 70B today

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Start using Mistral Medium 3 today

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Frequently Asked Questions

Which is cheaper, Llama 3.3 70B or Mistral Medium 3?
Llama 3.3 70B is cheaper for input tokens at $0.88 per million tokens vs $0.40 for Mistral Medium 3.
What is the context window difference between Llama 3.3 70B and Mistral Medium 3?
Llama 3.3 70B supports 131,072 tokens while Mistral Medium 3 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 Mistral Medium 3 costs about $4.20/month. Overall, Llama 3.3 70B has lower combined input + output rates ($0.88 in, $0.88 out) vs Mistral Medium 3.

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