# GLM-4.6 vs Trinity-Large-Thinking

> Side-by-side benchmark comparison for GLM-4.6 and Trinity-Large-Thinking across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/glm-4-6-vs-trinity-large-thinking
- Last updated: September 4, 2026

- Shared sourced benchmarks: 0
- HTML indexing: indexable
- Ranking lane: BenchAlign v5

## Quick Verdict

No benchmark verdict yet: there is no shared sourced benchmark row for GLM-4.6 and Trinity-Large-Thinking.

## Summary

- GLM-4.6 and Trinity-Large-Thinking do not currently share a sourced benchmark row. The mirror therefore compares metadata, pricing, context windows, and each model's separately reported coverage without naming a benchmark winner.

## Model Snapshot

| Property | GLM-4.6 | Trinity-Large-Thinking |
|----------|----------|----------|
| Creator | Z.AI | Arcee AI |
| Type | Open Weight | Open Weight |
| Reasoning | Reasoning | Reasoning |
| Context | 200K | 512K |
| Independent public score (not head-to-head) | 53.94 | 47.12 |
| Benchmarks Covered | 3 | 5 |
| Pricing (input/output) | N/A | $0.25 / $0.90 |

## Category Breakdown

### Agentic

- Winner: Insufficient shared evidence
- GLM-4.6 public-lane score: Coming soon
- Trinity-Large-Thinking public-lane score: 41.3 (Estimated · #117/151)

| Benchmark | GLM-4.6 | Trinity-Large-Thinking | Winner |
|-----------|-----------|-----------|--------|
| Gert Labs | Coming soon | 32.55% | Coming soon |

### Coding

- Winner: Insufficient shared evidence
- GLM-4.6 public-lane score: 48.8 (Estimated · #84/183)
- Trinity-Large-Thinking public-lane score: 28.1 (Supported · #172/183)

| Benchmark | GLM-4.6 | Trinity-Large-Thinking | Winner |
|-----------|-----------|-----------|--------|
| Vibe Code Bench | 3.09% | Coming soon | Coming soon |
| SWE-bench Verified* | Coming soon | 63.2% | Coming soon |

### Reasoning

- Winner: Insufficient shared evidence
- GLM-4.6 public-lane score: 41.4 (Unranked · 2 rankable rows)
- Trinity-Large-Thinking public-lane score: 48.6 (Unranked · 2 rankable rows)

### Knowledge

- Winner: Insufficient shared evidence
- GLM-4.6 public-lane score: 45.3 (Estimated · #115/181)
- Trinity-Large-Thinking public-lane score: 44.1 (Estimated · #121/181)

| Benchmark | GLM-4.6 | Trinity-Large-Thinking | Winner |
|-----------|-----------|-----------|--------|
| GPQA-D | Coming soon | 76.3% | Coming soon |
| MMLU-Pro (Arcee) | Coming soon | 83.4% | Coming soon |

### Instruction Following

- Winner: Insufficient shared evidence
- GLM-4.6 public-lane score: 42.1 (#98/120)
- Trinity-Large-Thinking public-lane score: 67.5 (#64/120)

### Mathematics

- Winner: Insufficient shared evidence
- GLM-4.6 public-lane score: 27.5 (Unranked · 2 rankable rows)
- Trinity-Large-Thinking public-lane score: Coming soon

| Benchmark | GLM-4.6 | Trinity-Large-Thinking | Winner |
|-----------|-----------|-----------|--------|
| FrontierMath v2 (Tiers 1-3) | 3.819% | Coming soon | Coming soon |
| FrontierMath v2 (Tier 4) | 2.128% | Coming soon | Coming soon |
| AIME25 (Arcee) | Coming soon | 96.3% | Coming soon |

## FAQ

### Can I compare GLM-4.6 and Trinity-Large-Thinking on BenchLM yet?

Not fully yet. BenchLM is tracking both models, but sourced benchmark coverage is still incomplete for a fair score-level comparison.

### Why does this page show "coming soon" values?

BenchLM only calls winners when public benchmark coverage is available on both sides of the comparison.

## Related Comparisons

- [GLM-4.6 vs Trinity-Large-Preview](/compare/glm-4-6-vs-trinity-large-preview)
- [Trinity-Large-Thinking vs Trinity-Large-Preview](/compare/trinity-large-preview-vs-trinity-large-thinking)
- [GLM-4.6 vs Claude Fable 5.1](/compare/claude-fable-5-1-vs-glm-4-6)
- [Trinity-Large-Thinking vs Claude Fable 5.1](/compare/claude-fable-5-1-vs-trinity-large-thinking)

## Explore More

- [GLM-4.6 profile](/models/glm-4-6)
- [Trinity-Large-Thinking profile](/models/trinity-large-thinking)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)