← Compare models
Open all in the calculator — adjust volume and token counts →
DeepSeek V3.2 vs GPT-6.1 Terra Pro (batch)
List-price comparison ·DeepSeek V3.2 details ·GPT-6.1 Terra Pro (batch) details
For a typical workload (100,000 requests / mo), DeepSeek V3.2 is the cheapest — 69% less than the priciest here ($50.40/mo vs $160.00/mo).
| DeepSeek V3.2 | GPT-6.1 Terra Pro (batch) | |
|---|---|---|
| Input / 1M tokens | $0.280 | $0.500 |
| Output / 1M tokens | $0.420 | $2.50 |
| Typical request (1,200 in + 400 out) | $0.0005 | $0.0016 |
| Context window | 163,840 tokens | 1050k tokens |
| Max output | 65,536 tokens | 128k tokens |
| Quality score | 79/100 | 88/100 |
| Tier | Balanced | Balanced |
| Provider | DeepSeek | OpenAI |
Projected monthly cost
| Requests / mo | DeepSeek V3.2 | GPT-6.1 Terra Pro (batch) |
|---|---|---|
| 1,000 | $0.504 | $1.60 |
| 10,000 | $5.04 | $16.00 |
| 100,000 | $50.40 | $160.00 |
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.
GPT-6.1 Terra Pro (batch)
Auto-synced from OpenRouter — no editorial write-up yet.
More comparisons
Vendor list rates · per-request examples assume 1,200 input + 400 output tokens.