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Llama 3.1 70B vs Llama 3.3 70B

Pricing verdict: Llama 3.1 70B vs Llama 3.3 70B: pricing is a tie at $0.88/M input and $0.88/M output. The real choice is context: Llama 3.3 70B is better for long-context tasks (131,072 tokens vs 128,000).

Direct answer: pricing is a tie. Choose Llama 3.3 70B for the larger 131.1K context window, or pick Llama 3.1 70B if 128K is already enough for your workload.

Compare API pricing, input and output token costs, context windows, and monthly estimates on one page so you can pick the right 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

$0.00
Per Request
$0.00
Daily
$0.00
Monthly
$0.00
Yearly

Both models cost the same at the default workload.

Quick Recommendation

Direct API pricing is a tie at the default workload: both land around $3.96/month. Pick Llama 3.3 70B if you need the larger 131.1K context window; otherwise choose the model that better fits your workflow.

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. Both models cost the same on input and output tokens, so raw price is a tie. 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?
They are priced the same at $0.88 per million input tokens and $0.88 per million output tokens. The real difference is context and workload fit: Llama 3.3 70B gives you 131,072 tokens of context vs 128,000 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, and direct token pricing is tied. For ai chatbot, start with Llama 3.3 70B if you need the larger 131,072-token context window; otherwise choose the model whose provider, tools, or latency profile fits better.
Which model has better overall pricing for heavy usage?
At 100 requests/day with 1,000 input and 500 output tokens each, both models land at about $3.96/month. There is no direct price winner at this workload, so decide based on context window, capabilities, and provider fit.

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