# GLM-5 vs Mercury 2.5

> Side-by-side benchmark comparison for GLM-5 and Mercury 2.5 across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/glm-5-vs-mercury-2-5
- Last updated: September 8, 2026

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

## Quick Verdict

Evidence is too thin for a benchmark verdict: GLM-5 and Mercury 2.5 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.
- Mercury 2.5 has the lower published output-token price.
- Mercury 2.5 has the larger published context window at 260K.

## Model Snapshot

| Property | GLM-5 | Mercury 2.5 |
|----------|----------|----------|
| Creator | Z.AI | Inception |
| Type | Open Weight | Proprietary |
| Reasoning | Non-Reasoning | Reasoning |
| Context | 200K | 260K |
| Independent public score (not head-to-head) | 61.45 | null |
| Benchmarks Covered | 36 | 5 |
| Pricing (input/output) | $1.00 / $3.20 | $0.04 / $0.15 |

## Category Breakdown

### Agentic

- Winner: Insufficient shared evidence
- GLM-5 public-lane score: 51.1 (Estimated · #47/152)
- Mercury 2.5 public-lane score: 44.5 (Estimated · #91/152)

| Benchmark | GLM-5 | Mercury 2.5 | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 2.0 | 56.2% | Coming soon | Coming soon |
| Claw-Eval | 57.7% | Coming soon | Coming soon |
| QwenClawBench | 54.1% | Coming soon | Coming soon |
| τ³-bench results | 65.6% | 96.0% | Mercury 2.5 |
| DeepPlanning | 14.6% | Coming soon | Coming soon |
| Toolathlon | 38% | Coming soon | Coming soon |
| MCP Atlas | 31.1% | Coming soon | Coming soon |
| MCP-Tasks | 60.8% | Coming soon | Coming soon |
| WideResearch | 69.8% | Coming soon | Coming soon |
| CyberGym | 43.2% | Coming soon | Coming soon |
| Gert Labs | 50.99% | Coming soon | Coming soon |
| DeepSearchQA | Coming soon | 34.0% | Coming soon |

### Coding

- Winner: Insufficient shared evidence
- GLM-5 public-lane score: 56.3 (Estimated · #39/151)
- Mercury 2.5 public-lane score: 47.8 (Estimated · #73/151)

| Benchmark | GLM-5 | Mercury 2.5 | Winner |
|-----------|-----------|-----------|--------|
| SWE-bench Verified | 77.8% | Coming soon | Coming soon |
| SWE-bench Verified* | 72.8% | Coming soon | Coming soon |
| SWE-bench Pro | 55.1% | Coming soon | Coming soon |
| SWE Multilingual | 73.3% | Coming soon | Coming soon |
| SWE-Rebench | 62.8% | Coming soon | Coming soon |
| React Native Evals | 74.8% | Coming soon | Coming soon |
| SciCode | Coming soon | 38% | Coming soon |

### Reasoning

- Winner: Insufficient shared evidence
- GLM-5 public-lane score: 52.1 (Unranked · 4 rankable rows)
- Mercury 2.5 public-lane score: 67.7 (Unranked · 1 rankable row)

| Benchmark | GLM-5 | Mercury 2.5 | Winner |
|-----------|-----------|-----------|--------|
| LongBench v2 | 60.8% | Coming soon | Coming soon |
| AI-Needle | 63.3% | Coming soon | Coming soon |

### Knowledge

- Winner: Insufficient shared evidence
- GLM-5 public-lane score: 54.2 (Estimated · #58/182)
- Mercury 2.5 public-lane score: 48.3 (Estimated · #94/182)

| Benchmark | GLM-5 | Mercury 2.5 | Winner |
|-----------|-----------|-----------|--------|
| GPQA | 86% | Coming soon | Coming soon |
| GPQA-D | 86.0% | 79.0% | GLM-5 |
| SuperGPQA | 66.8% | Coming soon | Coming soon |
| MMLU-Pro | 85.7% | Coming soon | Coming soon |
| MMLU-Pro (Arcee) | 85.8% | Coming soon | Coming soon |
| HLE | 50.4% | Coming soon | Coming soon |

### Instruction Following

- Winner: Insufficient shared evidence
- GLM-5 public-lane score: 88.5 (#31/121)
- Mercury 2.5 public-lane score: 80.1 (#53/121)

| Benchmark | GLM-5 | Mercury 2.5 | Winner |
|-----------|-----------|-----------|--------|
| IFEval | 92.6% | Coming soon | Coming soon |
| IFBench | Coming soon | 77% | Coming soon |

### Multilingual

- Winner: Insufficient shared evidence
- GLM-5 public-lane score: 48.7 (#6/12)
- Mercury 2.5 public-lane score: Coming soon

| Benchmark | GLM-5 | Mercury 2.5 | Winner |
|-----------|-----------|-----------|--------|
| MMLU-ProX | 83.1% | Coming soon | Coming soon |
| NOVA-63 | 55.1% | Coming soon | Coming soon |

### Mathematics

- Winner: Insufficient shared evidence
- GLM-5 public-lane score: 56.9 (#7/7)
- Mercury 2.5 public-lane score: Coming soon

| Benchmark | GLM-5 | Mercury 2.5 | Winner |
|-----------|-----------|-----------|--------|
| AIME26 | 95.8% | Coming soon | Coming soon |
| AIME25 (Arcee) | 93.3% | Coming soon | Coming soon |
| HMMT Feb 2025 | 97.5% | Coming soon | Coming soon |
| HMMT Nov 2025 | 96.9% | Coming soon | Coming soon |
| HMMT Feb 2026 | 86.4% | Coming soon | Coming soon |
| MMAnswerBench | 82.5% | Coming soon | Coming soon |
| FrontierMath v2 (Tiers 1-3) | 16.434% | Coming soon | Coming soon |
| FrontierMath v2 (Tier 4) | 2.100% | Coming soon | Coming soon |

## FAQ

### Is there enough evidence to pick between GLM-5 and Mercury 2.5?

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

- [GLM-5 vs GLM-5.3](/compare/glm-5-vs-glm-5-3)
- [Mercury 2.5 vs GLM-5.3](/compare/glm-5-3-vs-mercury-2-5)
- [GLM-5 vs GLM-5.2](/compare/glm-5-vs-glm-5-2)
- [Mercury 2.5 vs GLM-5.2](/compare/glm-5-2-vs-mercury-2-5)

## Explore More

- [GLM-5 profile](/models/glm-5)
- [Mercury 2.5 profile](/models/mercury-2-5)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)