Is Trinity Large Thinking a good deal?
Whether anything in this catalogue beats Trinity Large Thinking on both quality and price, and what you give up if it does. A computation on the current catalogue, not an opinion.
12 undominated of 145 · Oct 6, 2026
As of Oct 6, 2026, Trinity Large Thinking is dominated for Balanced on LMArena. GLM 5.3 Flash scores 129.6 higher and costs 39% less, with a covering envelope. 12 of 145 rated, priced standard models are undominated.
Inspect model evidence Compare differences & requirements
GLM 5.3 Flash is both better and cheaper than Trinity Large Thinking: 129.6 points higher on LMArena and 39% less per million tokens, $0.150 cheaper at this mix.
LMArena Elo · higher is better
Scale starts at 1040 Elo
1340.0
Effective $/M · Balanced · lower is better
$0.388/M
LMArena Elo · higher is better
Scale starts at 1040 Elo
1469.6
Effective $/M · Balanced · lower is better
$0.238/M
Trinity Large Thinking takes text, returns up to 80,000 tokens from a 262,144-token context, and is listed by 1 seller.
Compared against 145 rated, priced models on this lens: 8 models dominate it and give up nothing, 5 more dominate it but give something up. Trinity Large Thinking scores 1340 at $0.388 per million tokens for this mix.
Envelope-safe replacements
Each row scores at least as high, costs no more, and covers this model’s context, output, modalities, tools, and reasoning. A cheaper narrower model is not listed here.
| Model | LMArena | Effective $/M | You save |
|---|---|---|---|
| GLM 5.3 Flash | 1469.6 +129.6 | $0.238/M | 39% |
| DeepSeek V4.1 Flash | 1462.5 +122.5 | $0.182/M | 53% |
| MiMo-V2.6-Flash | 1456.4 +116.4 | $0.175/M | 55% |
| Hy3 | 1440.7 +100.7 | $0.231/M | 40% |
| Gemma 4 26B A4B | 1433.9 +93.9 | $0.127/M | 67% |
| DeepSeek V4 Flash 0423 | 1432.1 +92.1 | $0.113/M | 71% |
| MiMo-V2.5 | 1427.5 +87.5 | $0.175/M | 55% |
| GPT-6 Luna | 1391.5 +51.5 | $0.200/M | 48% |
Higher score, lower price, named losses
Not a drop-in. The loss is why these are not a recommendation.
| Model | LMArena | Effective $/M | You give up |
|---|---|---|---|
| Gemma 4 31B | 1443.4 | $0.205/M | max output |
| DeepSeek V3.2 | 1424.5 | $0.290/M | context, max output |
| DeepSeek V3.2 Exp | 1422.4 | $0.305/M | context |
| Qwen3 VL 235B A22B Instruct | 1420.1 | $0.370/M | max output, reasoning |
| Qwen3 235B A22B Instruct 2507 | 1419.3 | $0.205/M | max output, reasoning |
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Constraint: replacements must preserve the model’s capabilities; any losses remain named trade-offs.
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