# GLM-5.3 vs Pareto 26.9

> Side-by-side benchmark comparison for GLM-5.3 and Pareto 26.9 across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/glm-5-3-vs-pareto-26-9
- Last updated: September 18, 2026

- Shared sourced benchmarks: 1
- HTML indexing: indexable
- Ranking lane: BenchAlign v5

## Quick Verdict

Evidence is too thin for a benchmark verdict: GLM-5.3 and Pareto 26.9 share only 1 sourced benchmark row.

## Summary

- Only 1 shared sourced benchmark row is available. That is not enough for a broad capability verdict, so this mirror does not name an overall winner.
- GLM-5.3 has the lower published output-token price.
- GLM-5.3 has the larger published context window at 1M.

## Model Snapshot

| Property | GLM-5.3 | Pareto 26.9 |
|----------|----------|----------|
| Creator | Z.AI | Unbiased |
| Type | Open Weight | Proprietary |
| Reasoning | Reasoning | Reasoning |
| Context | 1M | N/A |
| Independent public score (not head-to-head) | 66.93 | null |
| Benchmarks Covered | 24 | 4 |
| Pricing (input/output) | $0.00 / $0.00 | $2.50 / $7.50 |

## Category Breakdown

### Agentic

- Winner: Insufficient shared evidence
- GLM-5.3 public-lane score: 68.4 (Supported · #8/154)
- Pareto 26.9 public-lane score: Coming soon

| Benchmark | GLM-5.3 | Pareto 26.9 | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 2.1 | 88.2% | Coming soon | Coming soon |
| terminalBench3 | 28.3% | Coming soon | Coming soon |
| CyberGym | 84.5% | Coming soon | Coming soon |
| ExploitGym | 15.0% | Coming soon | Coming soon |
| Toolathlon-Verified | 73.0% | Coming soon | Coming soon |
| AutomationBench | 48.2% | Coming soon | Coming soon |
| Agents' Last Exam | 28.5% | Coming soon | Coming soon |
| HLE w/ tools | 62.5% | Coming soon | Coming soon |
| Terminal-Bench 2.1 (Vals) | 71.5% | Coming soon | Coming soon |
| Terminal-Bench 4.0 | Coming soon | 51.00% | Coming soon |

### Coding

- Winner: Insufficient shared evidence
- GLM-5.3 public-lane score: 61.4 (Supported · #18/154)
- Pareto 26.9 public-lane score: Coming soon

| Benchmark | GLM-5.3 | Pareto 26.9 | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 2.1 | 88.2% | Coming soon | Coming soon |
| terminalBench3 | 28.3% | Coming soon | Coming soon |
| DeepSWE | 66.9% | 74.0% | Pareto 26.9 |
| NL2Repo | 58% | Coming soon | Coming soon |
| ProgramBench | 19.0% | Coming soon | Coming soon |
| FrontierSWE | 78.1% | Coming soon | Coming soon |
| sweMarathon | 42.5% | Coming soon | Coming soon |
| PostTrain Bench | 39.8% | Coming soon | Coming soon |
| VulcanBench v3 | 78.3% | Coming soon | Coming soon |
| OpenHarmony Bench | 60.8% | Coming soon | Coming soon |
| FrontierSWE v2 | 30.2% | Coming soon | Coming soon |
| LiveCodeBench (Vals) | 80.5% | Coming soon | Coming soon |
| SWE-bench (Vals) | 95.4% | Coming soon | Coming soon |

### Multimodal & Grounded

- Winner: Insufficient shared evidence
- GLM-5.3 public-lane score: Coming soon
- Pareto 26.9 public-lane score: Coming soon

| Benchmark | GLM-5.3 | Pareto 26.9 | Winner |
|-----------|-----------|-----------|--------|
| MMMU-Pro | Coming soon | 78% | Coming soon |

### Reasoning

- Winner: Insufficient shared evidence
- GLM-5.3 public-lane score: 75.8 (#10/20)
- Pareto 26.9 public-lane score: Coming soon

### Knowledge

- Winner: Insufficient shared evidence
- GLM-5.3 public-lane score: 61.5 (Supported · #30/184)
- Pareto 26.9 public-lane score: Coming soon

| Benchmark | GLM-5.3 | Pareto 26.9 | Winner |
|-----------|-----------|-----------|--------|
| GPQA Diamond (Vals) | 88.1% | Coming soon | Coming soon |
| MMLU-Pro (Vals) | 86.8% | Coming soon | Coming soon |
| HLE w/o tools | Coming soon | 49% | Coming soon |

## FAQ

### Is there enough evidence to pick between GLM-5.3 and Pareto 26.9?

Not yet. The models share only 1 sourced benchmark row, so this mirror reports the available measurements and metadata without naming a broad winner.

### What can I compare safely on this page?

Published pricing, context windows, model type, and individual shared benchmark rows are directly comparable. Independent overall scores and non-overlapping benchmark coverage are labeled separately and should not be read as a controlled head-to-head result.

## Related Comparisons

- [GLM-5.3 vs GLM-5.2](/compare/glm-5-2-vs-glm-5-3)
- [Pareto 26.9 vs GLM-5.2](/compare/glm-5-2-vs-pareto-26-9)
- [GLM-5.3 vs GLM-5.3-Flash](/compare/glm-5-3-vs-glm-5-3-flash)
- [Pareto 26.9 vs GLM-5.3-Flash](/compare/glm-5-3-flash-vs-pareto-26-9)

## Explore More

- [GLM-5.3 profile](/models/glm-5-3)
- [Pareto 26.9 profile](/models/pareto-26-9)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)