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Llama 3.1 70B vs Llama 3.3 70B

Llama 3.1 70B vs Llama 3.3 70B: Llama 3.1 70B is cheaper for input-heavy usage ($0.88/M vs $0.88/M input tokens), while Llama 3.3 70B is better for long-context tasks (131,072 tokens).

Direct answer: choose Llama 3.1 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 3.1 70B
vs
Meta (via Together AI)
Llama 3.3 70B

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

Llama 3.1 70B

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

Llama 3.3 70B

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

Cost Differences

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$0.00
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Monthly
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Llama 3.3 70B costs less than Llama 3.1 70B

Quick Recommendation

Winner for direct API pricing: Llama 3.1 70B. At the default workload, Llama 3.1 70B saves about $0.00/month ($0.00/year) versus Llama 3.3 70B.

Feature Comparison

FeatureLlama 3.1 70BLlama 3.3 70B
ProviderMeta (via Together AI)Meta (via Together AI)
Input Price$0.88/1M tokens$0.88/1M tokens
Output Price$0.88/1M tokens$0.88/1M tokens
Context Window128,000 tokens131,072 tokens
Max Output32,768 tokens4,096 tokens
Categorybalancedstandard
Capabilities
textcode
textcode
Release Date7/23/202412/6/2024

Llama 3.1 70B vs Llama 3.3 70B: Which Should You Choose?

Choosing between Llama 3.1 70B and Llama 3.3 70B 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 Llama 3.1 70B.

These models target different tiers: Llama 3.1 70B is a balanced model while Llama 3.3 70B is standard. This means they're optimized for different workloads. Llama 3.3 70B targets more demanding workloads, while Llama 3.1 70B provides a cost-effective option for everyday tasks.

Output costs matter too. Llama 3.1 70B charges $0.88/1M output tokens vs $0.88 for Llama 3.3 70B.

Best Use Cases

Choose Llama 3.1 70B when:

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

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

Pros and Caveats at a Glance

Llama 3.1 70B

  • Input pricing: $0.88/M tokens
  • Output pricing: $0.88/M tokens
  • Context window: 128,000 tokens
  • Max output: 32,768 tokens

Watch out for

  • Smaller context window than Llama 3.3 70B

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.

Try Different Scenarios

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

Llama 3.1 70B (Meta (via Together AI))

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

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Frequently Asked Questions

Which is cheaper, Llama 3.1 70B or Llama 3.3 70B?
Llama 3.3 70B is cheaper for input tokens at $0.88 per million tokens vs $0.88 for Llama 3.1 70B.
What is the context window difference between Llama 3.1 70B and Llama 3.3 70B?
Llama 3.1 70B supports 128,000 tokens while Llama 3.3 70B supports 131,072 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 3.1 70B costs about $3.96/month and Llama 3.3 70B costs about $3.96/month. Overall, Llama 3.3 70B has lower combined input + output rates ($0.88 in, $0.88 out) vs Llama 3.1 70B.

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