# GLM-5 vs GPT-5.1-Codex

> Side-by-side benchmark comparison for GLM-5 and GPT-5.1-Codex across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/glm-5-vs-gpt-5-1-codex
- 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 and GPT-5.1-Codex 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 has the lower published output-token price.
- GPT-5.1-Codex has the larger published context window at 400K.

## Model Snapshot

| Property | GLM-5 | GPT-5.1-Codex |
|----------|----------|----------|
| Creator | Z.AI | OpenAI |
| Type | Open Weight | Proprietary |
| Reasoning | Non-Reasoning | Reasoning |
| Context | 200K | 400K |
| Independent public score (not head-to-head) | 61.47 | 48.16 |
| Benchmarks Covered | 36 | 3 |
| Pricing (input/output) | $1.00 / $3.20 | $1.25 / $10.00 |

## Category Breakdown

### Agentic

- Winner: Insufficient shared evidence
- GLM-5 public-lane score: 51 (Estimated · #48/154)
- GPT-5.1-Codex public-lane score: 49 (Estimated · #65/154)

| Benchmark | GLM-5 | GPT-5.1-Codex | 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% | Coming soon | Coming soon |
| 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% | 49.68% | GLM-5 |
| JobBench | Coming soon | 26.2% | Coming soon |

### Coding

- Winner: Insufficient shared evidence
- GLM-5 public-lane score: 56 (Estimated · #39/154)
- GPT-5.1-Codex public-lane score: 45.1 (Estimated · #92/154)

| Benchmark | GLM-5 | GPT-5.1-Codex | 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 |
| Vibe Code Bench | Coming soon | 13.12% | Coming soon |

### Multimodal & Grounded

- Winner: Insufficient shared evidence
- GLM-5 public-lane score: Coming soon
- GPT-5.1-Codex public-lane score: 66.9 (Unranked · 1 rankable row)

### Reasoning

- Winner: Insufficient shared evidence
- GLM-5 public-lane score: 52.1 (Unranked · 4 rankable rows)
- GPT-5.1-Codex public-lane score: 68.6 (Unranked · 2 rankable rows)

| Benchmark | GLM-5 | GPT-5.1-Codex | 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: 54.1 (Estimated · #58/184)
- GPT-5.1-Codex public-lane score: 51.8 (Estimated · #70/184)

| Benchmark | GLM-5 | GPT-5.1-Codex | Winner |
|-----------|-----------|-----------|--------|
| GPQA | 86% | Coming soon | Coming soon |
| GPQA-D | 86.0% | Coming soon | Coming soon |
| 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: 87.2 (#32/124)
- GPT-5.1-Codex public-lane score: 84.2 (#42/124)

| Benchmark | GLM-5 | GPT-5.1-Codex | Winner |
|-----------|-----------|-----------|--------|
| IFEval | 92.6% | Coming soon | Coming soon |

### Multilingual

- Winner: Insufficient shared evidence
- GLM-5 public-lane score: 48.7 (#6/12)
- GPT-5.1-Codex public-lane score: Coming soon

| Benchmark | GLM-5 | GPT-5.1-Codex | 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: 56.5 (#7/7)
- GPT-5.1-Codex public-lane score: Coming soon

| Benchmark | GLM-5 | GPT-5.1-Codex | 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 GPT-5.1-Codex?

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 vs GLM-5.3](/compare/glm-5-vs-glm-5-3)
- [GPT-5.1-Codex vs GLM-5.3](/compare/glm-5-3-vs-gpt-5-1-codex)
- [GLM-5 vs GLM-5.2](/compare/glm-5-vs-glm-5-2)
- [GPT-5.1-Codex vs GLM-5.2](/compare/glm-5-2-vs-gpt-5-1-codex)

## Explore More

- [GLM-5 profile](/models/glm-5)
- [GPT-5.1-Codex profile](/models/gpt-5-1-codex)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)