Directory · Model comparison
GPT-4.1 mini vs Mistral Large 3
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 Large 3 |
|---|---|---|
| Input cost / 1M | $0.40 | $0.50 |
| Output cost / 1M | $1.60 | $1.50 |
| 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 Large 3
- Input: 1M × $0.50 = $0.50
- Output: 1M × $1.50 = $1.50
- Total
- $2.00
Total cost savings
$0.00
Same monthly cost for GPT-4.1 mini and Mistral Large 3 at this volume.
Model routing savings
Uses this page's verified rates. GPT-4.1 mini is the premium route (higher combined per-1M cost); Mistral Large 3 handles routine traffic.
All premium
GPT-4.1 mini
$100.00
100% of input and output on the premium route
Routed stack
80% → Mistral Large 3
20% → GPT-4.1 mini
$100.00
- Routine slice
- $80.00
- Premium slice
- $20.00
Monthly savings
$0.00
0% lower
Rates pulled from this page's model database entries (gpt-4-1-mini, mistral-large-3) — same per-1M input/output figures as Tale of the tape. Production routing needs quality gates and monitoring.
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