Model comparison
GLM-5V-Turbo vs Trinity Large Thinking
GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 38.6 on the Noometry Index. Trinity Large Thinking costs 4.9× less per token, which makes it the better buy when GLM-5V-Turbo's lead doesn't matter for your workload.
Last verified . 17 shared benchmarks.
Arcee AISummary
- They share 17 benchmarks with published results for both. GLM-5V-Turbo scores higher in 7 categories and Trinity Large Thinking in 1 category; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GLM-5V-Turbo leads 29.7 to 16.9.
- Trinity Large Thinking is cheaper at $0.25 / $0.80 per million input/output tokens, against $1.20 / $4 for GLM-5V-Turbo.
- Trinity Large Thinking accepts more context: 262K tokens versus 200K.
- Trinity Large Thinking has downloadable open weights; the other is API-only.
Side by side
| GLM-5V-Turbo | Trinity Large Thinking | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Arcee AI |
| Noometry Index | 43.8 | 38.6 |
| Released | 2026-04-01 | 2026-04-01 |
| Weights | Proprietary | Open |
| Context window | 200K | 262K |
| Max output | 131K | 80K |
| Input $ / M tokens | $1.20 | $0.25 |
| Output $ / M tokens | $4 | $0.80 |
| Results tracked | 19 | 24 |
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Category by category
Coding GLM-5V-Turbo leads
GLM-5V-Turbo: 42.1 (#111), Trinity Large Thinking: 34.1 (#244)
| Benchmark | GLM-5V-Turbo | Trinity Large Thinking |
|---|---|---|
| LMArena WebDev | 1401 | 1238 |
| LMArena Coding | 1466 | 1381 |
| SciCode | — | 36.1% |
Reasoning GLM-5V-Turbo leads
GLM-5V-Turbo: 29.7 (#89), Trinity Large Thinking: 16.9 (#298)
| Benchmark | GLM-5V-Turbo | Trinity Large Thinking |
|---|---|---|
| LMArena Hard Prompts | 1443 | 1350 |
| NYT Connections (extended) | — | 16.5% |
| CritPt | — | 0.9% |
| Thematic Generalization | — | 41.6% |
| Surface Evolver Bench | — | 15.6% |
Math GLM-5V-Turbo leads
GLM-5V-Turbo: 39.4 (#106), Trinity Large Thinking: 37.6 (#149)
| Benchmark | GLM-5V-Turbo | Trinity Large Thinking |
|---|---|---|
| LMArena Math | 1441 | 1366 |
Knowledge Too close to call
GLM-5V-Turbo: 40.6 (#117), Trinity Large Thinking: 40.9 (#113)
| Benchmark | GLM-5V-Turbo | Trinity Large Thinking |
|---|---|---|
| LMArena Expert | 1452 | 1360 |
| Vectara Hallucination Rate | — | 6.9% |
Multimodal Not comparable
GLM-5V-Turbo: 40.9 (#42), Trinity Large Thinking: —
| Benchmark | GLM-5V-Turbo | Trinity Large Thinking |
|---|---|---|
| LMArena Vision | 1264 | — |
| LMArena Document | 1416 | — |
Multilingual GLM-5V-Turbo leads
GLM-5V-Turbo: 53.0 (#73), Trinity Large Thinking: 46.2 (#160)
| Benchmark | GLM-5V-Turbo | Trinity Large Thinking |
|---|---|---|
| LMArena Non-English | 1420 | 1325 |
| LMArena Chinese | 1488 | 1373 |
| LMArena French | 1444 | 1374 |
| LMArena German | 1423 | 1356 |
| LMArena Korean | 1396 | 1306 |
| LMArena Russian | 1431 | 1337 |
| LMArena Spanish | 1450 | 1357 |
| LMArena Japanese | — | 1311 |
Instruction Following GLM-5V-Turbo leads
GLM-5V-Turbo: 75.0 (#80), Trinity Large Thinking: 70.5 (#162)
| Benchmark | GLM-5V-Turbo | Trinity Large Thinking |
|---|---|---|
| LMArena Instruction Following | 1423 | 1334 |
Long Context GLM-5V-Turbo leads
GLM-5V-Turbo: 44.0 (#80), Trinity Large Thinking: 41.3 (#144)
| Benchmark | GLM-5V-Turbo | Trinity Large Thinking |
|---|---|---|
| LMArena Longer Query | 1438 | 1355 |
Writing & Preference GLM-5V-Turbo leads
GLM-5V-Turbo: 62.5 (#73), Trinity Large Thinking: 53.8 (#158)
| Benchmark | GLM-5V-Turbo | Trinity Large Thinking |
|---|---|---|
| LMArena Text | 1437 | 1340 |
| LMArena Creative Writing | 1416 | 1320 |
| LMArena Multi-Turn | 1432 | 1342 |
Frequently asked questions
Is GLM-5V-Turbo better than Trinity Large Thinking?
GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 38.6 on the Noometry Index. Trinity Large Thinking costs 4.9× less per token, which makes it the better buy when GLM-5V-Turbo's lead doesn't matter for your workload.
Which is cheaper, GLM-5V-Turbo or Trinity Large Thinking?
Trinity Large Thinking is cheaper. It lists at $0.25 per million input tokens and $0.80 per million output tokens; GLM-5V-Turbo lists at $1.20 and $4.
Is GLM-5V-Turbo or Trinity Large Thinking better for coding?
GLM-5V-Turbo scores higher on coding benchmarks: 42.1 versus 34.1 in the Noometry coding category.
Which has the bigger context window?
Trinity Large Thinking does, with 262K tokens against 200K.
How many benchmarks do GLM-5V-Turbo and Trinity Large Thinking share?
17 benchmarks have published results for both models. GLM-5V-Turbo has 19 scored results on Noometry and Trinity Large Thinking has 24.