Directory · Model comparison
GPT-4.1 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 | GPT-4.1 | Qwen3.6-Flash |
|---|---|---|
| Input cost / 1M | $2.00 | $0.25 |
| Output cost / 1M | $8.00 | $1.50 |
| Context window | 1,047,576 tokens | 1,000,000 tokens |
| MMLU score | — | — |
Cost verdict
Enter monthly input and output volumes to see total cost savings.
GPT-4.1
- Input: 1M × $2.00 = $2.00
- Output: 1M × $8.00 = $8.00
- Total
- $10.00
Qwen3.6-Flash
- Input: 1M × $0.25 = $0.25
- Output: 1M × $1.50 = $1.50
- Total
- $1.75
Total cost savings
$8.25
Qwen3.6-Flash saves $8.25 per month vs the other model at this volume.
Model routing savings
Uses this page's verified rates. GPT-4.1 is the premium route (higher combined per-1M cost); Qwen3.6-Flash handles routine traffic.
All premium
GPT-4.1
$500.00
100% of input and output on the premium route
Routed stack
80% → Qwen3.6-Flash
20% → GPT-4.1
$170.00
- Routine slice
- $70.00
- Premium slice
- $100.00
Monthly savings
$330.00
66% lower
Rates pulled from this page's model database entries (gpt-4-1, qwen3-6-flash) — same per-1M input/output figures as Tale of the tape. Production routing needs quality gates and monitoring.
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