# Claude Opus 5 vs GLM-5

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

- Canonical page: https://benchlm.ai/compare/claude-opus-5-vs-glm-5
- Last updated: September 4, 2026

- Shared sourced benchmarks: 5
- HTML indexing: indexable
- Ranking lane: BenchAlign v5

## Quick Verdict

Pick Claude Opus 5 if you want the stronger benchmark profile. GLM-5 only makes more sense when its price, context window, or workload-specific category wins matter more than the overall score.

## Summary

- Claude Opus 5 leads overall 80.66 to 62.16.
- The clearest category separation is in agentic, where the averages are 77.4 for Claude Opus 5 and 50 for GLM-5.
- The biggest single benchmark swing is MCP Atlas in Agentic, with scores of 85.8% and 31.1%.
- GLM-5 is the cheaper option on output tokens, which matters if you expect large responses or heavy interactive use.
- GLM-5 also has the larger context window at 200K.

## Model Snapshot

| Property | Claude Opus 5 | GLM-5 |
|----------|----------|----------|
| Creator | Anthropic | Z.AI |
| Type | Proprietary | Open Weight |
| Reasoning | Reasoning | Non-Reasoning |
| Context | null | 200K |
| Overall Score | 80.66 | 62.16 |
| Benchmarks Covered | 73 | 36 |
| Pricing (input/output) | $5.00 / $25.00 | $1.00 / $3.20 |

## Category Breakdown

### Agentic

- Winner: Coming soon
- Claude Opus 5 public-lane score: 77.4 (Supported · #2/151)
- GLM-5 public-lane score: 50 (Estimated · #65/151)

| Benchmark | Claude Opus 5 | GLM-5 | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 3.0 | 42.7% | Coming soon | Coming soon |
| BrowseComp | 90.8% | Coming soon | Coming soon |
| HLE w/ tools | 64.7% | Coming soon | Coming soon |
| DeepSearchQA | 95.0% | Coming soon | Coming soon |
| DRACO | 88.6% | Coming soon | Coming soon |
| BrowseComp (10-agent, prerelease) | 93.6% | Coming soon | Coming soon |
| OSWorld 2.0 | 70.6% | Coming soon | Coming soon |
| MCP Atlas | 85.8% | 31.1% | Claude Opus 5 |
| MCP-Atlas claim coverage | 89.1% | Coming soon | Coming soon |
| LAB all-pass (Anthropic harness) | 23.58% | Coming soon | Coming soon |
| LAB criterion-pass (Anthropic harness) | 93.74% | Coming soon | Coming soon |
| LAB all-pass (Harvey held-out) | 11.7% | Coming soon | Coming soon |
| LAB criterion-pass (Harvey held-out) | 94.1% | Coming soon | Coming soon |
| Toolathlon-Verified | 80.6% | Coming soon | Coming soon |
| Toolathlon Verified Pass@3 | 87.0% | Coming soon | Coming soon |
| Toolathlon Verified Pass³ | 73.1% | Coming soon | Coming soon |
| Toolathlon Verified avg. turns | 23.5 turns | Coming soon | Coming soon |
| AutomationBench | 26.0% | Coming soon | Coming soon |
| Terminal-Bench 2.1 (Vals) | 84.6% | Coming soon | Coming soon |
| Terminal-Bench 2.0 | Coming soon | 56.2% | Coming soon |
| Claw-Eval | Coming soon | 57.7% | Coming soon |
| QwenClawBench | Coming soon | 54.1% | Coming soon |
| τ³-bench results | Coming soon | 65.6% | Coming soon |
| DeepPlanning | Coming soon | 14.6% | Coming soon |
| Toolathlon | Coming soon | 38% | Coming soon |
| MCP-Tasks | Coming soon | 60.8% | Coming soon |
| WideResearch | Coming soon | 69.8% | Coming soon |
| CyberGym | Coming soon | 43.2% | Coming soon |
| Gert Labs | Coming soon | 50.99% | Coming soon |

### Coding

- Winner: Claude Opus 5
- Claude Opus 5 public-lane score: 75.6 (Supported · #3/183)
- GLM-5 public-lane score: 49.1 (Supported · #80/183)

| Benchmark | Claude Opus 5 | GLM-5 | Winner |
|-----------|-----------|-----------|--------|
| Bug Hunt Bench | 27 fixes | Coming soon | Coming soon |
| SWE-bench Verified | 96% | 77.8% | Claude Opus 5 |
| SWE-bench Pro | 79.2% | 55.1% | Claude Opus 5 |
| SWE Multilingual | 89.5% | 73.3% | Claude Opus 5 |
| SWE Multimodal | 59.4% | Coming soon | Coming soon |
| deepSwe | 68.8% | Coming soon | Coming soon |
| FrontierCode 1.1 Main | 53.4% | Coming soon | Coming soon |
| FrontierCode 1.1 Extended | 63.6% | Coming soon | Coming soon |
| FrontierSWE v2 | 52.0% | Coming soon | Coming soon |
| ProgramBench (episode 1) | 83.0% | Coming soon | Coming soon |
| ProgramBench | 93.0% | Coming soon | Coming soon |
| cursorBench32 | 70.0% | Coming soon | Coming soon |
| VulcanBench v3 | 87.0% | Coming soon | Coming soon |
| VulcanBench CII v1 | 96.4% | Coming soon | Coming soon |
| LiveCodeBench (Vals) | 89.0% | Coming soon | Coming soon |
| SWE-bench (Vals) | 97.0% | Coming soon | Coming soon |
| SWE-bench Verified* | Coming soon | 72.8% | Coming soon |
| SWE-Rebench | Coming soon | 62.8% | Coming soon |
| React Native Evals | Coming soon | 74.8% | Coming soon |

### Multimodal & Grounded

- Winner: Coming soon
- Claude Opus 5 public-lane score: 88.7 (#2/48)
- GLM-5 public-lane score: Coming soon

| Benchmark | Claude Opus 5 | GLM-5 | Winner |
|-----------|-----------|-----------|--------|
| Chartography (no tools) | 29.6% | Coming soon | Coming soon |
| Chartography (tools) | 83.0% | Coming soon | Coming soon |
| BenchCAD Vision2Code (no tools) | 0.366 | Coming soon | Coming soon |
| BenchCAD Vision2Code (tools) | 0.821 | Coming soon | Coming soon |
| GDP.pdf (no tools) | 83.4% | Coming soon | Coming soon |
| GDP.pdf (tools) | 85.5% | Coming soon | Coming soon |
| OfficeQA | 78.1% | Coming soon | Coming soon |
| OfficeQA Pro | 66.9% | Coming soon | Coming soon |

### Reasoning

- Winner: Coming soon
- Claude Opus 5 public-lane score: 75.6 (#13/22)
- GLM-5 public-lane score: 51.6 (Unranked · 4 rankable rows)

| Benchmark | Claude Opus 5 | GLM-5 | Winner |
|-----------|-----------|-----------|--------|
| ARC-AGI-1 | 97.50% | Coming soon | Coming soon |
| ARC-AGI-2 | 90.4% | Coming soon | Coming soon |
| ARC-AGI-3 | 30.2% | Coming soon | Coming soon |
| LongBench v2 | Coming soon | 60.8% | Coming soon |
| AI-Needle | Coming soon | 63.3% | Coming soon |

### Knowledge

- Winner: Coming soon
- Claude Opus 5 public-lane score: 82.1 (Supported · #3/181)
- GLM-5 public-lane score: 54.9 (Estimated · #62/181)

| Benchmark | Claude Opus 5 | GLM-5 | Winner |
|-----------|-----------|-----------|--------|
| HLE | 64.7% | 50.4% | Claude Opus 5 |
| HLE w/o tools | 56.3% | Coming soon | Coming soon |
| HLE-Verified | 54.4% | Coming soon | Coming soon |
| LABBench2 | 84.2% | Coming soon | Coming soon |
| HealthBench (raw) | 67.1% | Coming soon | Coming soon |
| HealthBench (length-adjusted) | 57.8% | Coming soon | Coming soon |
| HealthBench Professional | 59.8% | Coming soon | Coming soon |
| HealthBench Professional (raw) | 73.4% | Coming soon | Coming soon |
| BioMysteryBench (human-solvable) | 90.1% | Coming soon | Coming soon |
| BioMysteryBench (human-difficult) | 49.4% | Coming soon | Coming soon |
| SpatialBench Verified | 72.5% | Coming soon | Coming soon |
| SingleCellBench | 60.6% | Coming soon | Coming soon |
| ProteinGym Hard | 47.7% | Coming soon | Coming soon |
| Protein Design | 42.5% | Coming soon | Coming soon |
| Organic chemistry V2 | 61.6% | Coming soon | Coming soon |
| Protocols (troubleshooting) | 61.1% | Coming soon | Coming soon |
| Protocols (understanding) | 78.4% | Coming soon | Coming soon |
| GPQA Diamond (Vals) | 93.4% | Coming soon | Coming soon |
| MMLU-Pro (Vals) | 91.6% | Coming soon | Coming soon |
| GPQA | Coming soon | 86% | Coming soon |
| GPQA-D | Coming soon | 86.0% | Coming soon |
| SuperGPQA | Coming soon | 66.8% | Coming soon |
| MMLU-Pro | Coming soon | 85.7% | Coming soon |
| MMLU-Pro (Arcee) | Coming soon | 85.8% | Coming soon |

### Instruction Following

- Winner: Coming soon
- Claude Opus 5 public-lane score: Coming soon
- GLM-5 public-lane score: 88.3 (#31/120)

| Benchmark | Claude Opus 5 | GLM-5 | Winner |
|-----------|-----------|-----------|--------|
| IFEval | Coming soon | 92.6% | Coming soon |

### Multilingual

- Winner: Coming soon
- Claude Opus 5 public-lane score: Coming soon
- GLM-5 public-lane score: 48.7 (#6/12)

| Benchmark | Claude Opus 5 | GLM-5 | Winner |
|-----------|-----------|-----------|--------|
| GMMLU | 92.5% | Coming soon | Coming soon |
| MILU | 92.1% | Coming soon | Coming soon |
| INCLUDE | 89.8% | Coming soon | Coming soon |
| MMLU-ProX | Coming soon | 83.1% | Coming soon |
| NOVA-63 | Coming soon | 55.1% | Coming soon |

### Mathematics

- Winner: Coming soon
- Claude Opus 5 public-lane score: Coming soon
- GLM-5 public-lane score: 56.9 (#7/7)

| Benchmark | Claude Opus 5 | GLM-5 | Winner |
|-----------|-----------|-----------|--------|
| IMO 2026 | 42/42 | Coming soon | Coming soon |
| RiemannBench (no tools) | 60.0% | Coming soon | Coming soon |
| RiemannBench (tools) | 79.0% | Coming soon | Coming soon |
| ArXivMath Jun. 2026 (no tools) | 90.8% | Coming soon | Coming soon |
| ArXivMath Jun. 2026 (tools) | 91.3% | Coming soon | Coming soon |
| AIME26 | Coming soon | 95.8% | Coming soon |
| AIME25 (Arcee) | Coming soon | 93.3% | Coming soon |
| HMMT Feb 2025 | Coming soon | 97.5% | Coming soon |
| HMMT Nov 2025 | Coming soon | 96.9% | Coming soon |
| HMMT Feb 2026 | Coming soon | 86.4% | Coming soon |
| MMAnswerBench | Coming soon | 82.5% | Coming soon |
| FrontierMath v2 (Tiers 1-3) | Coming soon | 16.434% | Coming soon |
| FrontierMath v2 (Tier 4) | Coming soon | 2.100% | Coming soon |

## FAQ

### Which is better overall, Claude Opus 5 or GLM-5?

Claude Opus 5 is ahead overall on BenchLM right now.

### Where is the biggest gap between Claude Opus 5 and GLM-5?

The widest category gap is in agentic, where the averages are 77.4 for Claude Opus 5 and 50 for GLM-5.

### How many benchmarks does Claude Opus 5 cover on BenchLM?

Claude Opus 5 currently has 73 sourced benchmark scores on BenchLM.

### How many benchmarks does GLM-5 cover on BenchLM?

GLM-5 currently has 36 sourced benchmark scores on BenchLM.

## Related Comparisons

- [Claude Opus 5 vs GLM-5.3](/compare/claude-opus-5-vs-glm-5-3)
- [GLM-5 vs GLM-5.3](/compare/glm-5-vs-glm-5-3)
- [Claude Opus 5 vs GLM-5.2](/compare/claude-opus-5-vs-glm-5-2)
- [GLM-5 vs GLM-5.2](/compare/glm-5-vs-glm-5-2)

## Explore More

- [Claude Opus 5 profile](/models/claude-opus-5)
- [GLM-5 profile](/models/glm-5)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)