Model decision surface
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Start with Trinity Large Thinking and Falcon H1 34B Instruct, or choose any two current ranked language models. Compare capability evidence, price, context, provider availability, and weight access without pretending one field decides every use case.
Current public data
Trinity Large Thinking vs Falcon H1 34B Instruct
Live dataset updated 9/15/2026, 8:34:26 PM UTC
Open 1200×630 evidence receipt| Field | Trinity Large Thinking Arcee AI | Falcon H1 34B Instruct Tiiuae |
|---|---|---|
| ModelCap position | #116 | #120 |
| Index score | 40.8 | 39.8 |
| Evidence | Measured3 public benchmark observations across 3 boards | Estimatedglobal-corpus-prior over 193 held-out anchors (49%); launch card against 5 resolved peers on 11 rows (51%); exceeds every named peer on 3 of 11 rows; optimism haircut 0 from cross-lab-probe; shrunk 12 up toward the measured corpus |
| Input / 1M | $0.25 | Unavailable |
| Output / 1M | $0.80 | Unavailable |
| Pricing status | fresh | unavailable |
| Context | 262K | — |
| Providers | 1 | 0 |
| Weight access | Restricted license | Restricted license |
Decision facts
- Trinity Large Thinking is #116; Falcon H1 34B Instruct is #120 on the same current language board.
- Index scores are 40.8 for Trinity Large Thinking and 39.8 for Falcon H1 34B Instruct. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
- Evidence differs: Trinity Large Thinking is Measured; Falcon H1 34B Instruct is Estimated.
- ModelCap currently lists 1 providers for Trinity Large Thinking and 0 for Falcon H1 34B Instruct.
These are separate published fields, not a synthetic winner. ModelCap does not collapse price, access, context, and capability evidence into a hidden recommendation score.
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Each comparison page is a permanent, shareable URL with the same live figures as this tool: ModelCap Index position, API pricing, context window, provider count, weight access and every shared benchmark board.