Llama 3.1 70B vs Llama 3.3 70B
Compare Meta (via Together AI) and Meta (via Together AI) AI models
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Llama 3.1 70B
Llama 3.3 70B
Cost Differences
Llama 3.3 70B costs less than Llama 3.1 70B
Feature Comparison
| Feature | Llama 3.1 70B | Llama 3.3 70B |
|---|---|---|
| Provider | Meta (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 Window | 128,000 tokens | 131,072 tokens |
| Max Output | 32,768 tokens | 4,096 tokens |
| Category | balanced | standard |
| Capabilities | textcode | textcode |
| Release Date | 7/23/2024 | 12/6/2024 |
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
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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