Meta-Llama-3-70B-Instruct vs Qwen3 235B A22B Thinking 2507
Qwen3 235B A22B Thinking 2507 is cheaper on output tokens, while Qwen3 235B A22B Thinking 2507 offers a larger context window. Choose Meta-Llama-3-70B-Instruct or Qwen3 235B A22B Thinking 2507 based on the trade-off between cost, context, and the benchmarks that matter for your use case.
| Spec | Meta-Llama-3-70B-Instruct | Qwen3 235B A22B Thinking 2507 |
|---|---|---|
| Provider | Azure | Qwen |
| Input / 1M tokens | $2.68 | $0.45 |
| Output / 1M tokens | $3.54 | $3.50 |
| Context window | 8K | 128K |
| Parameters | — | — |
| Open weights | Yes | — |
| Released | Apr 2024 | — |
| GPQA Diamond score | 40.6 | — |
| LiveBench score | — | 52.9 |
FAQ
Is Meta-Llama-3-70B-Instruct or Qwen3 235B A22B Thinking 2507 cheaper?
Qwen3 235B A22B Thinking 2507 is cheaper on output tokens ($3.50 vs $3.54 per 1M).
Which has the larger context window, Meta-Llama-3-70B-Instruct or Qwen3 235B A22B Thinking 2507?
Qwen3 235B A22B Thinking 2507 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.