Directory · Model comparison
GPT-5.6 Terra vs Qwen3-235B-A22B
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-5.6 Terra | Qwen3-235B-A22B |
|---|---|---|
| Input cost / 1M | $2.00 | $0.70 |
| Output cost / 1M | $12.00 | $2.80 |
| Context window | 1,050,000 tokens | 32,768 tokens |
| MMLU score | — | — |
Cost verdict
Enter monthly input and output volumes to see total cost savings.
GPT-5.6 Terra
- Input: 1M × $2.00 = $2.00
- Output: 1M × $12.00 = $12.00
- Total
- $14.00
Qwen3-235B-A22B
- Input: 1M × $0.70 = $0.70
- Output: 1M × $2.80 = $2.80
- Total
- $3.50
Total cost savings
$10.50
Qwen3-235B-A22B saves $10.50 per month vs the other model at this volume.
Model routing savings
Uses this page's verified rates. GPT-5.6 Terra is the premium route (higher combined per-1M cost); Qwen3-235B-A22B handles routine traffic.
All premium
GPT-5.6 Terra
$700.00
100% of input and output on the premium route
Routed stack
80% → Qwen3-235B-A22B
20% → GPT-5.6 Terra
$280.00
- Routine slice
- $140.00
- Premium slice
- $140.00
Monthly savings
$420.00
60% lower
Rates pulled from this page's model database entries (gpt-5-6-terra, qwen3-235b-a22b) — same per-1M input/output figures as Tale of the tape. Production routing needs quality gates and monitoring.
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