# GLM-5.1 vs Spark-X2.6-4B

> Side-by-side benchmark comparison for GLM-5.1 and Spark-X2.6-4B across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/glm-5-1-vs-spark-x2-6-4b
- Last updated: October 20, 2026

- Shared sourced benchmarks: 9
- HTML indexing: indexable
- Ranking lane: BenchAlign v5.8

## Quick Verdict

GLM-5.1 leads by point estimate. Conditional score ranges do not establish rank confidence. Choose using the category evidence and your own workload tests.

## Summary

- GLM-5.1 has the higher overall point estimate 56.27 to 40.14. Conditional score ranges do not establish rank confidence.
- The clearest category separation is in reasoning, where the averages are 75.6 for GLM-5.1 and 48.8 for Spark-X2.6-4B.
- The biggest single benchmark swing is τ³-bench results in Agentic, with scores of 70.6% and 34.7%.
- Spark-X2.6-4B is the cheaper option on output tokens, which matters if you expect large responses or heavy interactive use.
- Spark-X2.6-4B also has the larger context window at 1M.

## Model Snapshot

| Property | GLM-5.1 | Spark-X2.6-4B |
|----------|----------|----------|
| Creator | Z.AI | SparkLLM |
| Type | Open Weight | Open Weight |
| Reasoning | Reasoning | Reasoning |
| Context | 203K | 1M |
| Overall Score | 56.27 | 40.14 |
| Benchmarks Covered | 27 | 20 |
| Pricing (input/output) | $1.40 / $4.40 | $0.00 / $0.00 |

## Category Breakdown

### Agentic

- Winner: Directional only
- GLM-5.1 public-lane score: 43.6 (Estimated · #64/131)
- Spark-X2.6-4B public-lane score: 33 (Estimated · #89/131)

| Benchmark | GLM-5.1 | Spark-X2.6-4B | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 2.0 | 63.5% | Coming soon | Coming soon |
| BrowseComp | 68% | 53.1% | GLM-5.1 |
| τ³-bench results | 70.6% | 34.7% | GLM-5.1 |
| MCP Atlas | 71.8% | 62.4% | GLM-5.1 |
| CyberGym | 68.7% | Coming soon | Coming soon |
| Claw-Eval | 62.3% | 69.9% | Spark-X2.6-4B |
| Gert Labs | 60.11% | Coming soon | Coming soon |
| ResearchClawBench | 18.2% | Coming soon | Coming soon |
| Terminal-Bench 2.1 (Vals) | 56.9% | Coming soon | Coming soon |
| HLE w/ tools | 52.3% | 36.9% | GLM-5.1 |
| BFCL v4 | Coming soon | 71.8% | Coming soon |
| τ²-bench results | Coming soon | 86.9% | Coming soon |

### Coding

- Winner: Directional only
- GLM-5.1 public-lane score: 47.2 (Supported · #51/152)
- Spark-X2.6-4B public-lane score: 30.6 (Estimated · #95/152)

| Benchmark | GLM-5.1 | Spark-X2.6-4B | Winner |
|-----------|-----------|-----------|--------|
| SWE-bench Pro | 58.4% | 54.3% | GLM-5.1 |
| NL2Repo | 42.7% | Coming soon | Coming soon |
| SWE-Rebench | 62.7% | Coming soon | Coming soon |
| Terminal-Bench 2.0 | 63.5% | Coming soon | Coming soon |
| Vibe Code Bench | 31.46% | Coming soon | Coming soon |
| OpenHarmony Bench | 52.3% | Coming soon | Coming soon |
| LiveCodeBench (Vals) | 81.4% | Coming soon | Coming soon |
| SWE-bench (Vals) | 76.4% | Coming soon | Coming soon |
| SWE-bench Verified | Coming soon | 62.8% | Coming soon |
| SWE Multilingual | Coming soon | 64.7% | Coming soon |
| SciCode | Coming soon | 36.8% | Coming soon |

### Reasoning

- Winner: Not comparable
- GLM-5.1 public-lane score: 75.6 (Unranked · 2 rankable rows)
- Spark-X2.6-4B public-lane score: 48.8 (Unranked · 2 rankable rows)

| Benchmark | GLM-5.1 | Spark-X2.6-4B | Winner |
|-----------|-----------|-----------|--------|
| LongBench v2 | Coming soon | 53.3% | Coming soon |

### Knowledge

- Winner: Directional only
- GLM-5.1 public-lane score: 52.7 (Supported · #72/187)
- Spark-X2.6-4B public-lane score: 43 (Estimated · #109/187)

| Benchmark | GLM-5.1 | Spark-X2.6-4B | Winner |
|-----------|-----------|-----------|--------|
| GPQA-D | 86.2% | 77.1% | GLM-5.1 |
| HLE | 31% | Coming soon | Coming soon |
| GPQA Diamond (Vals) | 84.5% | Coming soon | Coming soon |
| MMLU-Pro (Vals) | 86.9% | Coming soon | Coming soon |
| HLE w/o tools | Coming soon | 17.9% | Coming soon |
| GPQA | Coming soon | 69.9% | Coming soon |

### Instruction Following

- Winner: Directional only
- GLM-5.1 public-lane score: 93.8 (#6/149)
- Spark-X2.6-4B public-lane score: 78.2 (#62/149)

| Benchmark | GLM-5.1 | Spark-X2.6-4B | Winner |
|-----------|-----------|-----------|--------|
| IFEval | Coming soon | 93.6% | Coming soon |
| IFBench | Coming soon | 75.8% | Coming soon |

### Mathematics

- Winner: Not comparable
- GLM-5.1 public-lane score: 66.7 (#7/12)
- Spark-X2.6-4B public-lane score: 76.4 (Unranked · 3 rankable rows)

| Benchmark | GLM-5.1 | Spark-X2.6-4B | Winner |
|-----------|-----------|-----------|--------|
| AIME26 | 95.3% | 91.2% | GLM-5.1 |
| HMMT Nov 2025 | 94.0% | Coming soon | Coming soon |
| HMMT Feb 2026 | 82.6% | 81.3% | GLM-5.1 |
| MMAnswerBench | 83.8% | Coming soon | Coming soon |
| FrontierMath v2 (Tiers 1-3) | 36.842% | Coming soon | Coming soon |
| IMOAnswerBench | Coming soon | 75.2% | Coming soon |

## FAQ

### Which is better overall, GLM-5.1 or Spark-X2.6-4B?

GLM-5.1 has the higher overall point estimate. Conditional score ranges do not establish rank confidence.

### Where is the biggest gap between GLM-5.1 and Spark-X2.6-4B?

The widest category gap is in reasoning, where the averages are 75.6 for GLM-5.1 and 48.8 for Spark-X2.6-4B.

### How many benchmarks does GLM-5.1 cover on BenchLM?

GLM-5.1 currently has 27 sourced benchmark scores on BenchLM.

### How many benchmarks does Spark-X2.6-4B cover on BenchLM?

Spark-X2.6-4B currently has 20 sourced benchmark scores on BenchLM.

## Related Comparisons

- [GLM-5.1 vs GLM-5.3](/compare/glm-5-1-vs-glm-5-3)
- [Spark-X2.6-4B vs GLM-5.3](/compare/glm-5-3-vs-spark-x2-6-4b)
- [GLM-5.1 vs GLM-5.2](/compare/glm-5-1-vs-glm-5-2)
- [Spark-X2.6-4B vs GLM-5.2](/compare/glm-5-2-vs-spark-x2-6-4b)

## Explore More

- [GLM-5.1 profile](/models/glm-5-1)
- [Spark-X2.6-4B profile](/models/spark-x2-6-4b)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)