Mistral Large 3 vs GPT-3.5 Turbo: cost comparison
Prices updated 2026-10-28 · computed from live provider data
Short answer: GPT-3.5 Turbo is cheaper on a
3:1 input/output blend — $0.750 per million tokens versus
$0.750, a 0% difference.
Mistral Large 3 offers the larger context window at 262,144 tokens, against 16,385 for GPT-3.5 Turbo.
Head to head
| Mistral Large 3 | GPT-3.5 Turbo | |
|---|---|---|
| Input, per 1M tokens | $0.500 | $0.500 |
| Output, per 1M tokens | $1.50 | $1.50 |
| Blended 3:1, per 1M | $0.750 | $0.750 |
| Context window | 262,144 | 16,385 |
| Vendor | mistral | vercel_ai_gateway |
Monthly cost at real volumes
| Workload (input / output) | Mistral Large 3 | GPT-3.5 Turbo |
|---|---|---|
| 1M in / 250K out | $0.875 | $0.875 |
| 10M in / 2.5M out | $8.75 | $8.75 |
| 100M in / 25M out | $87.50 | $87.50 |
Which should you pick?
Pick Mistral Large 3 when you need the longer context window (262,144 vs 16,385 tokens). Pick GPT-3.5 Turbo when price per token dominates your workload — high-volume classification, extraction, or batch summarisation.