Directory · Model comparison
GPT-4.1 mini vs Mistral Medium 3.5
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 mini | Mistral Medium 3.5 |
|---|---|---|
| Input cost / 1M | $0.40 | $1.50 |
| Output cost / 1M | $1.60 | $7.50 |
| Context window | 1,047,576 tokens | 256,000 tokens |
| MMLU score | — | — |
Cost verdict
Enter monthly input and output volumes to see total cost savings.
GPT-4.1 mini
- Input: 1M × $0.40 = $0.40
- Output: 1M × $1.60 = $1.60
- Total
- $2.00
Mistral Medium 3.5
- Input: 1M × $1.50 = $1.50
- Output: 1M × $7.50 = $7.50
- Total
- $9.00
Total cost savings
$7.00
GPT-4.1 mini saves $7.00 per month vs the other model at this volume.
Model routing savings
Uses this page's verified rates. Mistral Medium 3.5 is the premium route (higher combined per-1M cost); GPT-4.1 mini handles routine traffic.
All premium
Mistral Medium 3.5
$450.00
100% of input and output on the premium route
Routed stack
80% → GPT-4.1 mini
20% → Mistral Medium 3.5
$170.00
- Routine slice
- $80.00
- Premium slice
- $90.00
Monthly savings
$280.00
62.2% lower
Rates pulled from this page's model database entries (mistral-medium-3-5, gpt-4-1-mini) — same per-1M input/output figures as Tale of the tape. Production routing needs quality gates and monitoring.
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