Llama 3.1 405B vs Llama 3.3 70B
Llama 3.1 405B vs Llama 3.3 70B: Llama 3.3 70B is cheaper for input-heavy usage ($0.88/M vs $3.50/M input tokens), while Llama 3.3 70B is better for long-context tasks (131,072 tokens).
Direct answer: choose Llama 3.3 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.
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Llama 3.1 405B
Llama 3.3 70B
Cost Differences
Llama 3.3 70B costs less than Llama 3.1 405B
Quick Recommendation
Winner for direct API pricing: Llama 3.3 70B. At the default workload, Llama 3.3 70B saves about $11.79/month ($143.445/year) versus Llama 3.1 405B.
Feature Comparison
| Feature | Llama 3.1 405B | Llama 3.3 70B |
|---|---|---|
| Provider | Meta (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 Window | 128,000 tokens | 131,072 tokens |
| Max Output | 32,768 tokens | 4,096 tokens |
| Category | flagship | standard |
| Capabilities | textcodereasoning | textcode |
| Release Date | 7/23/2024 | 12/6/2024 |
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 tokens — 75% 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
Pros and Caveats at a Glance
Llama 3.1 405B
- • Input pricing: $3.50/M tokens
- • Output pricing: $3.50/M tokens
- • Context window: 128,000 tokens
- • Max output: 32,768 tokens
Watch out for
- • Higher input cost than Llama 3.3 70B
- • Higher output cost than Llama 3.3 70B
- • 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 405B (Meta (via Together AI))
Llama 3.3 70B (Meta (via Together AI))
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Sign Up for Meta (via Together AI) →Frequently Asked Questions
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