# GLM-4.7-Flash vs Trinity Large Thinking

> GLM-4.7-Flash and Trinity Large Thinking score almost the same on the Noometry Index (38.8 vs 38.6), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/glm-4-7-flash-vs-trinity-large-thinking
- Last updated: 2026-10-10
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. GLM-4.7-Flash scores higher in 3 categories and Trinity Large Thinking in 5 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in coding, where GLM-4.7-Flash leads 40.6 to 34.1.
- GLM-4.7-Flash is cheaper at $0.06 / $0.40 per million input/output tokens, against $0.25 / $0.80 for Trinity Large Thinking.
- Trinity Large Thinking accepts more context: 262K tokens versus 200K.

## Snapshot

| | GLM-4.7-Flash | Trinity Large Thinking |
|---|---|---|
| Provider | Z.ai (Zhipu) | Arcee AI |
| Noometry Index | 38.8 | 38.6 |
| Rank | 180 | 185 |
| Context | 200K | 262K |
| Input $/M | $0.06 | $0.25 |
| Output $/M | $0.40 | $0.80 |
| Weights | Open | Open |

## Coding

- GLM-4.7-Flash: 40.6 (#135)
- Trinity Large Thinking: 34.1 (#244)

| Benchmark | GLM-4.7-Flash | Trinity Large Thinking |
|---|---|---|
| LMArena Coding | 1383 | 1381 |
| LMArena WebDev | — | 1238 |
| SciCode | — | 36.1% |

## Reasoning

- GLM-4.7-Flash: 20.9 (#229)
- Trinity Large Thinking: 16.9 (#298)

| Benchmark | GLM-4.7-Flash | Trinity Large Thinking |
|---|---|---|
| LMArena Hard Prompts | 1356 | 1350 |
| NYT Connections (extended) | — | 16.5% |
| CritPt | — | 0.9% |
| Chess Puzzles | 0% | — |
| Thematic Generalization | — | 41.6% |
| Surface Evolver Bench | — | 15.6% |

## Math

- GLM-4.7-Flash: 36.1 (#173)
- Trinity Large Thinking: 37.6 (#149)

| Benchmark | GLM-4.7-Flash | Trinity Large Thinking |
|---|---|---|
| LMArena Math | 1355 | 1366 |
| OTIS Mock AIME 2024-2025 | 58.3% | — |

## Knowledge

- GLM-4.7-Flash: 35.5 (#184)
- Trinity Large Thinking: 40.9 (#113)

| Benchmark | GLM-4.7-Flash | Trinity Large Thinking |
|---|---|---|
| Vectara Hallucination Rate | 9.3% | 6.9% |
| LMArena Expert | 1357 | 1360 |
| GPQA Diamond | 60.5% | — |

## Multilingual

- GLM-4.7-Flash: 46.5 (#158)
- Trinity Large Thinking: 46.2 (#160)

| Benchmark | GLM-4.7-Flash | Trinity Large Thinking |
|---|---|---|
| LMArena Non-English | 1330 | 1325 |
| LMArena Chinese | 1403 | 1373 |
| LMArena French | 1332 | 1374 |
| LMArena German | 1337 | 1356 |
| LMArena Korean | 1283 | 1306 |
| LMArena Russian | 1332 | 1337 |
| LMArena Spanish | 1350 | 1357 |
| LMArena Japanese | — | 1311 |

## Instruction Following

- GLM-4.7-Flash: 70.1 (#167)
- Trinity Large Thinking: 70.5 (#162)

| Benchmark | GLM-4.7-Flash | Trinity Large Thinking |
|---|---|---|
| LMArena Instruction Following | 1327 | 1334 |

## Long Context

- GLM-4.7-Flash: 40.9 (#148)
- Trinity Large Thinking: 41.3 (#144)

| Benchmark | GLM-4.7-Flash | Trinity Large Thinking |
|---|---|---|
| LMArena Longer Query | 1345 | 1355 |

## Writing & Preference

- GLM-4.7-Flash: 47.4 (#210)
- Trinity Large Thinking: 53.8 (#158)

| Benchmark | GLM-4.7-Flash | Trinity Large Thinking |
|---|---|---|
| LMArena Text | 1351 | 1340 |
| LMArena Creative Writing | 1297 | 1320 |
| LMArena Multi-Turn | 1342 | 1342 |
| EQ-Bench Creative Writing | 1125 | — |

## FAQ

### Is GLM-4.7-Flash better than Trinity Large Thinking?

GLM-4.7-Flash and Trinity Large Thinking score almost the same on the Noometry Index (38.8 vs 38.6), so choose on price, context window or the category you care about most.

### Which is cheaper, GLM-4.7-Flash or Trinity Large Thinking?

GLM-4.7-Flash is cheaper. It lists at $0.06 per million input tokens and $0.40 per million output tokens; Trinity Large Thinking lists at $0.25 and $0.80.

### Is GLM-4.7-Flash or Trinity Large Thinking better for coding?

GLM-4.7-Flash scores higher on coding benchmarks: 40.6 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-4.7-Flash and Trinity Large Thinking share?

17 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and Trinity Large Thinking has 24.