Meta-Llama-3-70B-Instruct vs Llama-4-Maverick-17B-128E-Instruct-FP8
Llama-4-Maverick-17B-128E-Instruct-FP8 is cheaper on output tokens, while Llama-4-Maverick-17B-128E-Instruct-FP8 offers a larger context window. Choose Meta-Llama-3-70B-Instruct or Llama-4-Maverick-17B-128E-Instruct-FP8 based on the trade-off between cost, context, and the benchmarks that matter for your use case.
| Spec | Meta-Llama-3-70B-Instruct | Llama-4-Maverick-17B-128E-Instruct-FP8 |
|---|---|---|
| Provider | Azure | Vercel AI Gateway |
| Input / 1M tokens | $2.68 | $0.00 |
| Output / 1M tokens | $3.54 | $0.00 |
| Context window | 8K | 128K |
| Parameters | — | — |
| Open weights | Yes | Yes |
| Released | Apr 2024 | Apr 2025 |
| GPQA Diamond score | 40.6 | 67.0 |
| FrontierMath score | — | 0.7 |
FAQ
Is Meta-Llama-3-70B-Instruct or Llama-4-Maverick-17B-128E-Instruct-FP8 cheaper?
Llama-4-Maverick-17B-128E-Instruct-FP8 is cheaper on output tokens ($0.00 vs $3.54 per 1M).
Which has the larger context window, Meta-Llama-3-70B-Instruct or Llama-4-Maverick-17B-128E-Instruct-FP8?
Llama-4-Maverick-17B-128E-Instruct-FP8 has the larger context window (128K tokens).
Pricing is indicative — confirm with the provider before production use. Highlighted values indicate the better figure for that row.