# GLM-5.3-Flash vs GPT-5.6 Sol

> Side-by-side benchmark comparison for GLM-5.3-Flash and GPT-5.6 Sol across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/glm-5-3-flash-vs-gpt-5-6-sol
- Last updated: October 10, 2026

- Shared sourced benchmarks: 10
- HTML indexing: indexable
- Ranking lane: BenchAlign v5.8

## Quick Verdict

GPT-5.6 Sol leads by point estimate. Conditional score ranges do not establish rank confidence. Choose using the category evidence and your own workload tests.

## Summary

- GPT-5.6 Sol has the higher overall point estimate 77.81 to 57.36. Conditional score ranges do not establish rank confidence.
- The clearest category separation is in coding, where the averages are 49.3 for GLM-5.3-Flash and 68.7 for GPT-5.6 Sol.
- The biggest single benchmark swing is Bug Hunt Bench in Coding, with scores of 17.7 fixes and 42.0 fixes.
- GLM-5.3-Flash is the cheaper option on output tokens, which matters if you expect large responses or heavy interactive use.
- GPT-5.6 Sol also has the larger context window at 1.05M.

## Model Snapshot

| Property | GLM-5.3-Flash | GPT-5.6 Sol |
|----------|----------|----------|
| Creator | Z.AI | OpenAI |
| Type | Open Weight | Proprietary |
| Reasoning | Reasoning | Reasoning |
| Context | 1M | 1.05M |
| Overall Score | 57.36 | 77.81 |
| Benchmarks Covered | 21 | 40 |
| Pricing (input/output) | $0.00 / $0.00 | $4.00 / $20.00 |

## Category Breakdown

### Agentic

- Winner: GPT-5.6 Sol
- GLM-5.3-Flash public-lane score: 55.7 (Supported · #34/123)
- GPT-5.6 Sol public-lane score: 67.8 (Supported · #11/123)

| Benchmark | GLM-5.3-Flash | GPT-5.6 Sol | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 2.1 | 84.3% | 91.9% | GPT-5.6 Sol |
| Toolathlon-Verified | 78.4% | Coming soon | Coming soon |
| AutomationBench | 48.8% | Coming soon | Coming soon |
| Agents' Last Exam | 26.3% | Coming soon | Coming soon |
| HLE w/ tools | 55.3% | Coming soon | Coming soon |
| Terminal-Bench 2.1 (Vals) | 62.9% | 85.8% | GPT-5.6 Sol |
| Terminal-Bench 3.0 | Coming soon | 34.6% | Coming soon |
| BrowseComp | Coming soon | 92.2% | Coming soon |
| OSWorld 2.0 | Coming soon | 62.6% | Coming soon |
| CyberGym | Coming soon | 84.5% | Coming soon |
| ExploitGym | Coming soon | 33.7% | Coming soon |
| Toolathlon | Coming soon | 58% | Coming soon |
| ApprenticeBench | Coming soon | 26% | Coming soon |

### Coding

- Winner: GPT-5.6 Sol
- GLM-5.3-Flash public-lane score: 49.3 (Supported · #42/146)
- GPT-5.6 Sol public-lane score: 68.7 (Supported · #9/146)

| Benchmark | GLM-5.3-Flash | GPT-5.6 Sol | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 2.1 | 84.3% | 91.9% | GPT-5.6 Sol |
| DeepSWE | 63.4% | 72.7% | GPT-5.6 Sol |
| NL2Repo | 56.3% | Coming soon | Coming soon |
| LiveCodeBench (Vals) | 80.5% | 82.6% | GPT-5.6 Sol |
| SWE-bench (Vals) | 92.0% | 96.2% | GPT-5.6 Sol |
| OpenHarmony Bench | 57.3% | Coming soon | Coming soon |
| FrontierSWE v2 | 18.1% | 32.2% | GPT-5.6 Sol |
| Bug Hunt Bench | 17.7 fixes | 42.0 fixes | GPT-5.6 Sol |
| SWE-bench Pro | Coming soon | 64.6% | Coming soon |
| FrontierCode 1.1 Extended | Coming soon | 60.6% | Coming soon |
| CursorBench 3.2 | Coming soon | 67.2% | Coming soon |
| VulcanBench v3 | Coming soon | 87.0% | Coming soon |
| VulcanBench CII v1 | Coming soon | 86.5% | Coming soon |
| CursorBench 4.0 | Coming soon | 41.7% | Coming soon |
| PostTrainBench v1.1 | Coming soon | 36.2% | Coming soon |

### Reasoning

- Winner: Directional only
- GLM-5.3-Flash public-lane score: 81.1 (#11/28)
- GPT-5.6 Sol public-lane score: 75.8 (#15/28)

| Benchmark | GLM-5.3-Flash | GPT-5.6 Sol | Winner |
|-----------|-----------|-----------|--------|
| ARC-AGI-2 | Coming soon | 92.5% | Coming soon |
| ARC-AGI-3 | Coming soon | 7.8% | Coming soon |
| GeneBench-Pro | Coming soon | 28.7% | Coming soon |
| ARC-AGI-1 | Coming soon | 96.50% | Coming soon |

### Multimodal & Grounded

- Winner: Directional only
- GLM-5.3-Flash public-lane score: 84 (#14/54)
- GPT-5.6 Sol public-lane score: 89.8 (#6/54)

| Benchmark | GLM-5.3-Flash | GPT-5.6 Sol | Winner |
|-----------|-----------|-----------|--------|
| OfficeQA Pro | 62.4% | Coming soon | Coming soon |
| CharXiv | 89.4% | Coming soon | Coming soon |
| Chartography (tools) | 78.0% | Coming soon | Coming soon |
| BabyVision | 53.4% | Coming soon | Coming soon |
| MMVU | 80.5% | Coming soon | Coming soon |
| MMMU-Pro | Coming soon | 83% | Coming soon |
| MMMU-Pro w/ Python | Coming soon | 84.6% | Coming soon |

### Knowledge

- Winner: GPT-5.6 Sol
- GLM-5.3-Flash public-lane score: 60.5 (Supported · #43/177)
- GPT-5.6 Sol public-lane score: 78.8 (Supported · #9/177)

| Benchmark | GLM-5.3-Flash | GPT-5.6 Sol | Winner |
|-----------|-----------|-----------|--------|
| GPQA Diamond (Vals) | 86.4% | 95.2% | GPT-5.6 Sol |
| MMLU-Pro (Vals) | 86.1% | 89.1% | GPT-5.6 Sol |
| GPQA | Coming soon | 94.6% | Coming soon |
| GPQA-D | Coming soon | 94.6% | Coming soon |
| HLE-Verified | Coming soon | 54.5% | Coming soon |
| LABBench2 | Coming soon | 82.1% | Coming soon |
| HealthBench Professional | Coming soon | 60.5% | Coming soon |
| HealthBench Hard | Coming soon | 33.1% | Coming soon |

### Instruction Following

- Winner: Not comparable
- GLM-5.3-Flash public-lane score: Coming soon
- GPT-5.6 Sol public-lane score: 89.1 (#30/127)

| Benchmark | GLM-5.3-Flash | GPT-5.6 Sol | Winner |
|-----------|-----------|-----------|--------|
| Gray Swan IPI (15 attempts) | Coming soon | 27.0% | Coming soon |

### Mathematics

- Winner: Not comparable
- GLM-5.3-Flash public-lane score: Coming soon
- GPT-5.6 Sol public-lane score: 97.3 (Unranked · 3 rankable rows)

| Benchmark | GLM-5.3-Flash | GPT-5.6 Sol | Winner |
|-----------|-----------|-----------|--------|
| FrontierMath (legacy) | Coming soon | 89% | Coming soon |
| FrontierMath v2 (Tiers 1-3) | Coming soon | 89.000% | Coming soon |
| FrontierMath v2 (Tier 4) | Coming soon | 83.000% | Coming soon |

## FAQ

### Which is better overall, GLM-5.3-Flash or GPT-5.6 Sol?

GPT-5.6 Sol has the higher overall point estimate. Conditional score ranges do not establish rank confidence.

### Where is the biggest gap between GLM-5.3-Flash and GPT-5.6 Sol?

The widest category gap is in coding, where the averages are 49.3 for GLM-5.3-Flash and 68.7 for GPT-5.6 Sol.

### How many benchmarks does GLM-5.3-Flash cover on BenchLM?

GLM-5.3-Flash currently has 21 sourced benchmark scores on BenchLM.

### How many benchmarks does GPT-5.6 Sol cover on BenchLM?

GPT-5.6 Sol currently has 40 sourced benchmark scores on BenchLM.

## Related Comparisons

- [GLM-5.3-Flash vs GLM-5.3](/compare/glm-5-3-vs-glm-5-3-flash)
- [GPT-5.6 Sol vs GLM-5.3](/compare/glm-5-3-vs-gpt-5-6-sol)
- [GLM-5.3-Flash vs GLM-5.2](/compare/glm-5-2-vs-glm-5-3-flash)
- [GPT-5.6 Sol vs GLM-5.2](/compare/glm-5-2-vs-gpt-5-6-sol)

## Explore More

- [GLM-5.3-Flash profile](/models/glm-5-3-flash)
- [GPT-5.6 Sol profile](/models/gpt-5-6-sol)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)