Directory · Model comparison
Devstral 2 vs GPT-5.6 Luna
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 | Devstral 2 | GPT-5.6 Luna |
|---|---|---|
| Input cost / 1M | $0.40 | $1.00 |
| Output cost / 1M | $2.00 | $6.00 |
| Context window | 256,000 tokens | 1,050,000 tokens |
| MMLU score | — | — |
Cost verdict
Enter monthly input and output volumes to see total cost savings.
Devstral 2
- Input: 1M × $0.40 = $0.40
- Output: 1M × $2.00 = $2.00
- Total
- $2.40
GPT-5.6 Luna
- Input: 1M × $1.00 = $1.00
- Output: 1M × $6.00 = $6.00
- Total
- $7.00
Total cost savings
$4.60
Devstral 2 saves $4.60 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); Devstral 2 handles routine traffic.
All premium
GPT-5.6 Luna
$350.00
100% of input and output on the premium route
Routed stack
80% → Devstral 2
20% → GPT-5.6 Luna
$166.00
- Routine slice
- $96.00
- Premium slice
- $70.00
Monthly savings
$184.00
52.6% lower
Rates pulled from this page's model database entries (gpt-5-6-luna, devstral-2) — same per-1M input/output figures as Tale of the tape. Production routing needs quality gates and monitoring.
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