# Agents-A1 vs GLM-5.1

> Side-by-side benchmark comparison for Agents-A1 and GLM-5.1 across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/agents-a1-vs-glm-5-1
- Last updated: October 5, 2026

- Shared sourced benchmarks: 2
- HTML indexing: indexable
- Ranking lane: BenchAlign v5.8

## Quick Verdict

Evidence is too thin for a benchmark verdict: Agents-A1 and GLM-5.1 share only 2 sourced benchmark rows.

## Summary

- Only 2 shared sourced benchmark rows are available. That is not enough for a broad capability verdict, so this mirror does not name an overall winner.
- Agents-A1 has the larger published context window at 262K.

## Model Snapshot

| Property | Agents-A1 | GLM-5.1 |
|----------|----------|----------|
| Creator | InternScience | Z.AI |
| Type | Open Weight | Open Weight |
| Reasoning | Reasoning | Reasoning |
| Context | 262K | 203K |
| Independent public score (not head-to-head) | 53.24 | 56.13 |
| Benchmarks Covered | 6 | 26 |
| Pricing (input/output) | N/A | $1.40 / $4.40 |

## Category Breakdown

### Agentic

- Winner: Insufficient shared evidence
- Agents-A1 public-lane score: 44.9 (Estimated · #46/119)
- GLM-5.1 public-lane score: 42.7 (Estimated · #56/119)

| Benchmark | Agents-A1 | GLM-5.1 | Winner |
|-----------|-----------|-----------|--------|
| BrowseComp | 75.5% | 68% | Agents-A1 |
| HLE w/ tools | 47.6% | Coming soon | Coming soon |
| VITA-Bench | 38.8% | Coming soon | Coming soon |
| Terminal-Bench 2.0 | Coming soon | 63.5% | Coming soon |
| τ³-bench results | Coming soon | 70.6% | Coming soon |
| MCP Atlas | Coming soon | 71.8% | Coming soon |
| CyberGym | Coming soon | 68.7% | Coming soon |
| Claw-Eval | Coming soon | 62.3% | Coming soon |
| Gert Labs | Coming soon | 60.11% | Coming soon |
| ResearchClawBench | Coming soon | 18.2% | Coming soon |
| Terminal-Bench 2.1 (Vals) | Coming soon | 56.9% | Coming soon |

### Coding

- Winner: Insufficient shared evidence
- Agents-A1 public-lane score: Coming soon
- GLM-5.1 public-lane score: 49 (Supported · #43/144)

| Benchmark | Agents-A1 | GLM-5.1 | Winner |
|-----------|-----------|-----------|--------|
| SWE-bench Pro | Coming soon | 58.4% | Coming soon |
| NL2Repo | Coming soon | 42.7% | Coming soon |
| SWE-Rebench | Coming soon | 62.7% | Coming soon |
| Vibe Code Bench | Coming soon | 31.46% | Coming soon |
| OpenHarmony Bench | Coming soon | 52.3% | Coming soon |
| LiveCodeBench (Vals) | Coming soon | 81.4% | Coming soon |
| SWE-bench (Vals) | Coming soon | 76.4% | Coming soon |

### Reasoning

- Winner: Insufficient shared evidence
- Agents-A1 public-lane score: 35.2 (Unranked · 1 rankable row)
- GLM-5.1 public-lane score: 73 (Unranked · 2 rankable rows)

| Benchmark | Agents-A1 | GLM-5.1 | Winner |
|-----------|-----------|-----------|--------|
| LongBench v2 | 60.2% | Coming soon | Coming soon |

### Knowledge

- Winner: Insufficient shared evidence
- Agents-A1 public-lane score: Coming soon
- GLM-5.1 public-lane score: 52.6 (Supported · #59/171)

| Benchmark | Agents-A1 | GLM-5.1 | Winner |
|-----------|-----------|-----------|--------|
| HLE | 47.6% | 52.3% | GLM-5.1 |
| GPQA-D | Coming soon | 86.2% | Coming soon |
| GPQA Diamond (Vals) | Coming soon | 84.5% | Coming soon |
| MMLU-Pro (Vals) | Coming soon | 86.9% | Coming soon |

### Instruction Following

- Winner: Insufficient shared evidence
- Agents-A1 public-lane score: Coming soon
- GLM-5.1 public-lane score: 92.4 (#4/125)

| Benchmark | Agents-A1 | GLM-5.1 | Winner |
|-----------|-----------|-----------|--------|
| IFEval | 94.8% | Coming soon | Coming soon |

### Mathematics

- Winner: Insufficient shared evidence
- Agents-A1 public-lane score: Coming soon
- GLM-5.1 public-lane score: 63.8 (#3/7)

| Benchmark | Agents-A1 | GLM-5.1 | Winner |
|-----------|-----------|-----------|--------|
| AIME26 | Coming soon | 95.3% | Coming soon |
| HMMT Nov 2025 | Coming soon | 94.0% | Coming soon |
| HMMT Feb 2026 | Coming soon | 82.6% | Coming soon |
| MMAnswerBench | Coming soon | 83.8% | Coming soon |
| FrontierMath v2 (Tiers 1-3) | Coming soon | 33.448% | Coming soon |
| FrontierMath v2 (Tier 4) | Coming soon | 12.500% | Coming soon |

## FAQ

### Is there enough evidence to pick between Agents-A1 and GLM-5.1?

Not yet. The models share only 2 sourced benchmark rows, 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

- [Agents-A1 vs Agents-A1-F16-GGUF](/compare/agents-a1-vs-agents-a1-f16-gguf)
- [GLM-5.1 vs Agents-A1-F16-GGUF](/compare/agents-a1-f16-gguf-vs-glm-5-1)
- [Agents-A1 vs Agents-A1-FP8](/compare/agents-a1-vs-agents-a1-fp8)
- [GLM-5.1 vs Agents-A1-FP8](/compare/agents-a1-fp8-vs-glm-5-1)

## Explore More

- [Agents-A1 profile](/models/agents-a1)
- [GLM-5.1 profile](/models/glm-5-1)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)