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Llama 3.1 405B vs Llama 3.3 70B

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

Meta (via Together AI)
Llama 3.1 405B
vs
Meta (via Together AI)
Llama 3.3 70B

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

Llama 3.1 405B

Per Request:$0.005250
Daily:$0.525
Monthly:$15.75
Yearly:$191.625

Llama 3.3 70B

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

Cost Differences

$0.003930
Per Request
$0.393
Daily
$11.79
Monthly
$143.445
Yearly

Llama 3.3 70B costs less than Llama 3.1 405B

Feature Comparison

FeatureLlama 3.1 405BLlama 3.3 70B
ProviderMeta (via Together AI)Meta (via Together AI)
Input Price$3.50/1M tokens$0.88/1M tokens
Output Price$3.50/1M tokens$0.88/1M tokens
Context Window128,000 tokens131,072 tokens
Max Output32,768 tokens4,096 tokens
Categoryflagshipstandard
Capabilities
textcodereasoning
textcode
Release Date7/23/202412/6/2024

Llama 3.1 405B vs Llama 3.3 70B: Which Should You Choose?

Choosing between Llama 3.1 405B 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 tokens75% cheaper than Llama 3.1 405B. Meanwhile, Llama 3.3 70B offers a significantly larger context window at 131,072 tokens vs 128,000 for Llama 3.1 405B.

These models target different tiers: Llama 3.1 405B is a flagship model while Llama 3.3 70B is standard. This means they're optimized for different workloads. Llama 3.1 405B is built for complex tasks that require deeper reasoning, while Llama 3.3 70B offers better value for routine operations.

Output costs matter too. Llama 3.1 405B charges $3.50/1M output tokens vs $0.88 for Llama 3.3 70B. 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 3.1 405B when:

  • • You need more capabilities (reasoning)
  • • 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:

  • • 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

Try Different Scenarios

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

Llama 3.1 405B (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 405B or Llama 3.3 70B?
Llama 3.3 70B is cheaper for input tokens at $0.88 per million tokens vs $3.50 for Llama 3.1 405B — that's 75% savings on input costs.
What is the context window difference between Llama 3.1 405B and Llama 3.3 70B?
Llama 3.1 405B 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 405B costs about $15.75/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 405B.

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