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Trinity Large Thinking vs Claude Opus 4.8
List-price comparison · Trinity Large Thinking details · Claude Opus 4.8 details
For a typical workload (100,000 requests / mo), Trinity Large Thinking costs 96% less — $60.40/mo vs $1,600.00/mo.
| Trinity Large Thinking | Claude Opus 4.8 | |
|---|---|---|
| Input / 1M tokens | $0.220 | $5.00 |
| Output / 1M tokens | $0.850 | $25.00 |
| Typical request (1,200 in + 400 out) | $0.0006 | $0.016 |
| Context window | 262,144 tokens | 1M tokens |
| Max output | 262,144 tokens | 128k tokens |
| Tier | Flash | Flagship |
| Provider | Arcee AI | Anthropic |
Projected monthly cost
1,000 requests / month$0.604 vs $16.0010,000 requests / month$6.04 vs $160.00100,000 requests / month$60.40 vs $1,600.00
Rows open both models in the calculator — adjust volume and token counts there.
Trinity Large Thinking
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Claude Opus 4.8
Best-in-class for complex multi-step agentic workflows, long-horizon planning, and large codebase refactors. Strong instruction-following on ambiguous, open-ended tasks.
Highest per-token cost in the catalog and noticeably higher latency — reserve for tasks that genuinely need top-tier reasoning rather than routine completions.
More comparisons
Vendor list rates · per-request examples assume 1,200 input + 400 output tokens.