Directory · Model comparison
Llama 3.3 70B Instruct vs Qwen3.6-Flash
Side-by-side API economics and benchmarks. Per-1M input and output rates, context window, and verified metrics.
Tale of the tape
Head-to-head specs pulled from each model profile.
| Metric | Llama 3.3 70B Instruct | Qwen3.6-Flash |
|---|---|---|
| Input cost / 1M | $0.10 | $0.25 |
| Output cost / 1M | $0.32 | $1.50 |
| Context window | 128,000 tokens | 1,000,000 tokens |
| MMLU score | 86% | — |
Cost verdict
Enter monthly input and output volumes to see total cost savings.
Llama 3.3 70B Instruct
- Input: 1M × $0.10 = $0.10
- Output: 1M × $0.32 = $0.32
- Total
- $0.42
Qwen3.6-Flash
- Input: 1M × $0.25 = $0.25
- Output: 1M × $1.50 = $1.50
- Total
- $1.75
Total cost savings
$1.33
Llama 3.3 70B Instruct saves $1.33 per month vs the other model at this volume.
Model routing savings
Uses this page's verified rates. Qwen3.6-Flash is the premium route (higher combined per-1M cost); Llama 3.3 70B Instruct handles routine traffic.
All premium
Qwen3.6-Flash
$87.50
100% of input and output on the premium route
Routed stack
80% → Llama 3.3 70B Instruct
20% → Qwen3.6-Flash
$34.30
- Routine slice
- $16.80
- Premium slice
- $17.50
Monthly savings
$53.20
60.8% lower
Rates pulled from this page's model database entries (qwen3-6-flash, llama-3-3-70b-instruct) — same per-1M input/output figures as Tale of the tape. Production routing needs quality gates and monitoring.
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