Qwen3 Embedding 0.6B 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 Qwen3 Embedding 0.6B 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 | Qwen3 Embedding 0.6B | Llama-4-Maverick-17B-128E-Instruct-FP8 |
|---|---|---|
| Provider | NEAR AI Cloud | Vercel AI Gateway |
| Input / 1M tokens | $0.01 | $0.00 |
| Output / 1M tokens | $0.01 | $0.00 |
| Context window | 33K | 128K |
| Parameters | — | — |
| Open weights | Yes | Yes |
| Released | Jun 2025 | Apr 2025 |
| GPQA Diamond score | — | 67.0 |
| FrontierMath score | — | 0.7 |
FAQ
Is Qwen3 Embedding 0.6B or Llama-4-Maverick-17B-128E-Instruct-FP8 cheaper?
Llama-4-Maverick-17B-128E-Instruct-FP8 is cheaper on output tokens ($0.00 vs $0.01 per 1M).
Which has the larger context window, Qwen3 Embedding 0.6B 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.