# GLM-4.7 vs Qwen3.5-122B-A10B

> Side-by-side benchmark comparison for GLM-4.7 and Qwen3.5-122B-A10B across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/glm-4-7-vs-qwen3-5-122b-a10b
- Last updated: September 27, 2026

- Shared sourced benchmarks: 5
- HTML indexing: indexable
- Ranking lane: BenchAlign v5.7

## Quick Verdict

Pick GLM-4.7 if you want the stronger benchmark profile. Qwen3.5-122B-A10B only makes more sense when its price, context window, or workload-specific category wins matter more than the overall score.

## Summary

- GLM-4.7 leads overall 49.23 to 40.06.
- The clearest category separation is in reasoning, where the averages are 70.9 for GLM-4.7 and 49.8 for Qwen3.5-122B-A10B.
- The biggest single benchmark swing is BrowseComp in Agentic, with scores of 52% and 63.8%.
- Qwen3.5-122B-A10B also has the larger context window at 262K.

## Model Snapshot

| Property | GLM-4.7 | Qwen3.5-122B-A10B |
|----------|----------|----------|
| Creator | Z.AI | Alibaba |
| Type | Open Weight | Open Weight |
| Reasoning | Reasoning | Reasoning |
| Context | 200K | 262K |
| Overall Score | 49.23 | 40.06 |
| Benchmarks Covered | 17 | 15 |
| Pricing (input/output) | $0.00 / $0.00 | $0.00 / $0.00 |

## Category Breakdown

### Agentic

- Winner: Directional only
- GLM-4.7 public-lane score: 27 (Estimated · #75/105)
- Qwen3.5-122B-A10B public-lane score: 23.1 (Estimated · #84/105)

| Benchmark | GLM-4.7 | Qwen3.5-122B-A10B | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 2.0 | 41% | 49.4% | Qwen3.5-122B-A10B |
| BrowseComp | 52% | 63.8% | Qwen3.5-122B-A10B |
| VITA-Bench | 15.5% | Coming soon | Coming soon |
| Gert Labs | 39.95% | Coming soon | Coming soon |
| OSWorld-Verified | Coming soon | 58% | Coming soon |

### Coding

- Winner: GLM-4.7
- GLM-4.7 public-lane score: 39.6 (Supported · #56/135)
- Qwen3.5-122B-A10B public-lane score: 35.7 (Supported · #73/135)

| Benchmark | GLM-4.7 | Qwen3.5-122B-A10B | Winner |
|-----------|-----------|-----------|--------|
| SWE-bench Verified | 73.8% | 72% | GLM-4.7 |
| LiveCodeBench | 84.9% | Coming soon | Coming soon |
| SWE-Rebench | 58.7% | Coming soon | Coming soon |
| LiveCodeBench (Vals) | 82.2% | Coming soon | Coming soon |
| SWE-bench (Vals) | 69.4% | Coming soon | Coming soon |

### Reasoning

- Winner: Not comparable
- GLM-4.7 public-lane score: 70.9 (Unranked · 2 rankable rows)
- Qwen3.5-122B-A10B public-lane score: 49.8 (Unranked · 3 rankable rows)

| Benchmark | GLM-4.7 | Qwen3.5-122B-A10B | Winner |
|-----------|-----------|-----------|--------|
| LongBench v2 | Coming soon | 60.2% | Coming soon |

### Multimodal & Grounded

- Winner: Not comparable
- GLM-4.7 public-lane score: Coming soon
- Qwen3.5-122B-A10B public-lane score: 57 (#34/50)

| Benchmark | GLM-4.7 | Qwen3.5-122B-A10B | Winner |
|-----------|-----------|-----------|--------|
| MMMU | Coming soon | 83.9% | Coming soon |
| MMVU | Coming soon | 74.7% | Coming soon |
| MathVision | Coming soon | 86.2% | Coming soon |
| CharXiv | Coming soon | 77.2% | Coming soon |
| V* | Coming soon | 93.2% | Coming soon |

### Knowledge

- Winner: Qwen3.5-122B-A10B
- GLM-4.7 public-lane score: 40.6 (Supported · #89/158)
- Qwen3.5-122B-A10B public-lane score: 41.5 (Supported · #86/158)

| Benchmark | GLM-4.7 | Qwen3.5-122B-A10B | Winner |
|-----------|-----------|-----------|--------|
| GPQA | 85.7% | 86.6% | Qwen3.5-122B-A10B |
| MMLU-Pro | 84.3% | 86.7% | Qwen3.5-122B-A10B |
| HLE | 24.8% | Coming soon | Coming soon |
| GPQA Diamond (Vals) | 80.1% | Coming soon | Coming soon |
| MMLU-Pro (Vals) | 82.7% | Coming soon | Coming soon |
| SuperGPQA | Coming soon | 67.1% | Coming soon |

### Multilingual

- Winner: Not comparable
- GLM-4.7 public-lane score: Coming soon
- Qwen3.5-122B-A10B public-lane score: 36.8 (#10/12)

| Benchmark | GLM-4.7 | Qwen3.5-122B-A10B | Winner |
|-----------|-----------|-----------|--------|
| MMLU-ProX | Coming soon | 82.2% | Coming soon |

### Instruction Following

- Winner: Directional only
- GLM-4.7 public-lane score: 81.4 (#51/124)
- Qwen3.5-122B-A10B public-lane score: 91.6 (#11/124)

| Benchmark | GLM-4.7 | Qwen3.5-122B-A10B | Winner |
|-----------|-----------|-----------|--------|
| IFEval | Coming soon | 93.4% | Coming soon |

### Mathematics

- Winner: Not comparable
- GLM-4.7 public-lane score: 25.8 (Unranked · 2 rankable rows)
- Qwen3.5-122B-A10B public-lane score: Coming soon

| Benchmark | GLM-4.7 | Qwen3.5-122B-A10B | Winner |
|-----------|-----------|-----------|--------|
| AIME 2025 | 95.7% | Coming soon | Coming soon |
| FrontierMath v2 (Tiers 1-3) | 2.439% | Coming soon | Coming soon |
| FrontierMath v2 (Tier 4) | 0.000% | Coming soon | Coming soon |

## FAQ

### Which is better overall, GLM-4.7 or Qwen3.5-122B-A10B?

GLM-4.7 is ahead overall on BenchLM right now.

### Where is the biggest gap between GLM-4.7 and Qwen3.5-122B-A10B?

The widest category gap is in reasoning, where the averages are 70.9 for GLM-4.7 and 49.8 for Qwen3.5-122B-A10B.

### How many benchmarks does GLM-4.7 cover on BenchLM?

GLM-4.7 currently has 17 sourced benchmark scores on BenchLM.

### How many benchmarks does Qwen3.5-122B-A10B cover on BenchLM?

Qwen3.5-122B-A10B currently has 15 sourced benchmark scores on BenchLM.

## Related Comparisons

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- [Qwen3.5-122B-A10B vs GPT-6 Astra](/compare/gpt-6-astra-vs-qwen3-5-122b-a10b)
- [GLM-4.7 vs Claude Opus 5.5](/compare/claude-opus-5-5-vs-glm-4-7)
- [Qwen3.5-122B-A10B vs Claude Opus 5.5](/compare/claude-opus-5-5-vs-qwen3-5-122b-a10b)

## Explore More

- [GLM-4.7 profile](/models/glm-4-7)
- [Qwen3.5-122B-A10B profile](/models/qwen3-5-122b-a10b)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)