Directory · Model comparison
GPT-5.6 Luna vs Mistral Small 4
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 Luna | Mistral Small 4 |
|---|---|---|
| Input cost / 1M | $1.00 | $0.15 |
| Output cost / 1M | $6.00 | $0.60 |
| Context window | 1,050,000 tokens | — |
| MMLU score | — | — |
Cost verdict
Enter monthly input and output volumes to see total cost savings.
GPT-5.6 Luna
- Input: 1M × $1.00 = $1.00
- Output: 1M × $6.00 = $6.00
- Total
- $7.00
Mistral Small 4
- Input: 1M × $0.15 = $0.15
- Output: 1M × $0.60 = $0.60
- Total
- $0.75
Total cost savings
$6.25
Mistral Small 4 saves $6.25 per month vs the other model at this volume.
Model routing savings
Uses this page's verified rates. GPT-5.6 Luna is the premium route (higher combined per-1M cost); Mistral Small 4 handles routine traffic.
All premium
GPT-5.6 Luna
$350.00
100% of input and output on the premium route
Routed stack
80% → Mistral Small 4
20% → GPT-5.6 Luna
$100.00
- Routine slice
- $30.00
- Premium slice
- $70.00
Monthly savings
$250.00
71.4% lower
Rates pulled from this page's model database entries (gpt-5-6-luna, mistral-small-4) — same per-1M input/output figures as Tale of the tape. Production routing needs quality gates and monitoring.
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