DeepSeek V3.2 vs Mistral Large 3
List-price comparison · DeepSeek V3.2 details · Mistral Large 3 details
For a typical workload (100,000 requests / mo), DeepSeek V3.2 costs 66% less — $41.18/mo vs $120.00/mo.
| DeepSeek V3.2 | Mistral Large 3 | |
|---|---|---|
| Input / 1M tokens | $0.229 | $0.500 |
| Output / 1M tokens | $0.343 | $1.50 |
| Typical request (1,200 in + 400 out) | $0.0004 | $0.0012 |
| Context window | 131,072 tokens | 262,144 tokens |
| Max output | 64k tokens | — |
| Tier | Balanced | Balanced |
| Provider | DeepSeek | Mistral AI |
Projected monthly cost
Rows open both models in the calculator — adjust volume and token counts there.
DeepSeek V3.2
Extremely competitive coding and reasoning benchmarks at a fraction of commercial-API pricing — strong default for cost-sensitive batch workloads.
Open-weight hosting means latency and uptime vary by inference provider (DeepInfra, Fireworks, etc.) — pin a provider or add fallbacks for production SLAs.
Mistral Large 3
Solid multilingual and coding performance with a 256K context window — popular for European-data-residency deployments via self-hosting.
Ecosystem and tooling support is smaller than OpenAI/Anthropic — fewer turnkey integrations and community examples.
More comparisons
Vendor list rates · per-request examples assume 1,200 input + 400 output tokens.