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Trinity Large Thinking vs DeepSeek V3.2
List-price comparison · Trinity Large Thinking details · DeepSeek V3.2 details
For a typical workload (100,000 requests / mo), DeepSeek V3.2 costs 32% less — $41.18/mo vs $60.40/mo.
| Trinity Large Thinking | DeepSeek V3.2 | |
|---|---|---|
| Input / 1M tokens | $0.220 | $0.229 |
| Output / 1M tokens | $0.850 | $0.343 |
| Typical request (1,200 in + 400 out) | $0.0006 | $0.0004 |
| Context window | 262,144 tokens | 131,072 tokens |
| Max output | 262,144 tokens | 64k tokens |
| Tier | Flash | Balanced |
| Provider | Arcee AI | DeepSeek |
Projected monthly cost
1,000 requests / month$0.604 vs $0.411810,000 requests / month$6.04 vs $4.12100,000 requests / month$60.40 vs $41.18
Rows open both models in the calculator — adjust volume and token counts there.
Trinity Large Thinking
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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.
More comparisons
Vendor list rates · per-request examples assume 1,200 input + 400 output tokens.