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Llama 3.1 8B vs Llama 3.3 70B

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

Meta (via Together AI)
Llama 3.1 8B
vs
Meta (via Together AI)
Llama 3.3 70B

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

Llama 3.3 70B

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

Cost Differences

+$0.001050
Per Request
+$0.105
Daily
+$3.15
Monthly
+$38.325
Yearly

Llama 3.3 70B costs more than Llama 3.1 8B

Feature Comparison

FeatureLlama 3.1 8BLlama 3.3 70B
ProviderMeta (via Together AI)Meta (via Together AI)
Input Price$0.18/1M tokens$0.88/1M tokens
Output Price$0.18/1M tokens$0.88/1M tokens
Context Window128,000 tokens131,072 tokens
Max Output32,768 tokens4,096 tokens
Categoryefficientstandard
Capabilities
textcode
textcode
Release Date7/23/202412/6/2024

Llama 3.1 8B vs Llama 3.3 70B: Which Should You Choose?

Choosing between Llama 3.1 8B and Llama 3.3 70B 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 tokens80% cheaper than Llama 3.3 70B. Meanwhile, Llama 3.3 70B offers a significantly larger context window at 131,072 tokens vs 128,000 for Llama 3.1 8B.

These models target different tiers: Llama 3.1 8B is a efficient 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 8B provides a cost-effective option for everyday tasks.

Output costs matter too. Llama 3.1 8B charges $0.18/1M 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 3.1 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 need longer outputs (up to 32,768 tokens)
  • • You're already using Meta (via Together AI)'s API ecosystem
  • • You're running high-volume, latency-sensitive workloads

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

Try Different Scenarios

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

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

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

Start using Llama 3.1 8B today

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Start using Llama 3.3 70B today

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Frequently Asked Questions

Which is cheaper, Llama 3.1 8B or Llama 3.3 70B?
Llama 3.1 8B is cheaper for input tokens at $0.18 per million tokens vs $0.88 for Llama 3.3 70B — that's 80% savings on input costs.
What is the context window difference between Llama 3.1 8B and Llama 3.3 70B?
Llama 3.1 8B 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 3.1 8B is the lower-cost option, while Llama 3.3 70B offers a larger context window (131,072 vs 128,000 tokens). Choose Llama 3.1 8B 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 8B costs about $0.81/month and Llama 3.3 70B costs about $3.96/month. Overall, Llama 3.1 8B has lower combined input + output rates ($0.18 in, $0.18 out) vs Llama 3.3 70B.

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