# Claude Haiku 5.5 vs GLM-5.1

> Claude Haiku 5.5 is the stronger model overall, scoring 49.5 to 47.8 on the Noometry Index.

- Canonical page: https://noometry.com/compare/claude-haiku-5-5-vs-glm-5-1
- Last updated: 2026-10-10
- Shared benchmarks: 6

## Summary

- They share 6 benchmarks with published results for both. Claude Haiku 5.5 scores higher in 2 categories and GLM-5.1 in 2 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Haiku 5.5 leads 73.6 to 49.7.
- The biggest single-benchmark swing is FrontierMath (Tiers 1-3): 75.1% for Claude Haiku 5.5 and 36.8% for GLM-5.1.
- Claude Haiku 5.5 is cheaper at $0.10 / $0.50 per million input/output tokens, against $1.40 / $4.40 for GLM-5.1.
- Claude Haiku 5.5 accepts more context: 1M tokens versus 200K.
- GLM-5.1 has downloadable open weights; the other is API-only.

## Snapshot

| | Claude Haiku 5.5 | GLM-5.1 |
|---|---|---|
| Provider | Anthropic | Z.ai (Zhipu) |
| Noometry Index | 49.5 | 47.8 |
| Rank | 52 | 59 |
| Context | 1M | 200K |
| Input $/M | $0.10 | $1.40 |
| Output $/M | $0.50 | $4.40 |
| Weights | Proprietary | Open |

## Coding

- Claude Haiku 5.5: 49.2 (#50)
- GLM-5.1: 48.7 (#55)

| Benchmark | Claude Haiku 5.5 | GLM-5.1 |
|---|---|---|
| LMArena WebDev | 1587 | 1508 |
| SWE-bench Verified | — | 74.2% |
| SciCode | — | 43.8% |
| WeirdML | — | 57.1% |
| LMArena Coding | — | 1485 |
| ALE-Bench | — | 887.1 |

## Agentic & Tool Use

- Claude Haiku 5.5: —
- GLM-5.1: 24.9 (#113)

| Benchmark | Claude Haiku 5.5 | GLM-5.1 |
|---|---|---|
| APEX-Agents | — | 40.9% |
| ExploitBench | — | 18.1% |
| GBAEval | — | 0% |
| Vending-Bench 2 | — | 5,634 |

## Reasoning

- Claude Haiku 5.5: 35.2 (#69)
- GLM-5.1: 39.1 (#60)

| Benchmark | Claude Haiku 5.5 | GLM-5.1 |
|---|---|---|
| NYT Connections (extended) | 65.7% | 77.7% |
| SimpleBench | — | 55.1% |
| CritPt | — | 4.6% |
| Chess Puzzles | — | 19% |
| Thematic Generalization | — | 69.8% |
| LMArena Hard Prompts | — | 1472 |
| Mystery Game Puzzles | 30% | — |
| Epoch Capabilities Index | — | 149.84 |

## Math

- Claude Haiku 5.5: 73.6 (#18)
- GLM-5.1: 49.7 (#60)

| Benchmark | Claude Haiku 5.5 | GLM-5.1 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 75.1% | 36.8% |
| OTIS Mock AIME 2024-2025 | 98.9% | 93.3% |
| FrontierMath Tier 4 | 46.3% | — |
| MathArena Final-Answer Competitions | — | 67.1% |
| ProofBench | — | 22.2% |
| LMArena Math | — | 1473 |
| FrontierMath (Feb 2025 set) | — | 33.4% |
| FrontierMath Tier 4 (v1) | — | 12.5% |

## Knowledge

- Claude Haiku 5.5: 50.8 (#70)
- GLM-5.1: 54.9 (#50)

| Benchmark | Claude Haiku 5.5 | GLM-5.1 |
|---|---|---|
| GPQA Diamond | 89.6% | 89.9% |
| SimpleQA Verified | 23.8% | 34% |
| LMArena Expert | — | 1476 |

## Multimodal

- Claude Haiku 5.5: 43.7 (#21)
- GLM-5.1: —

| Benchmark | Claude Haiku 5.5 | GLM-5.1 |
|---|---|---|
| Furniture Assembly | 47.5% | — |

## Multilingual

- Claude Haiku 5.5: —
- GLM-5.1: 55.0 (#36)

| Benchmark | Claude Haiku 5.5 | GLM-5.1 |
|---|---|---|
| LMArena Non-English | — | 1447 |
| LMArena Chinese | — | 1515 |
| LMArena French | — | 1474 |
| LMArena German | — | 1465 |
| LMArena Japanese | — | 1434 |
| LMArena Korean | — | 1418 |
| LMArena Russian | — | 1454 |
| LMArena Spanish | — | 1469 |

## Instruction Following

- Claude Haiku 5.5: —
- GLM-5.1: 76.3 (#42)

| Benchmark | Claude Haiku 5.5 | GLM-5.1 |
|---|---|---|
| LMArena Instruction Following | — | 1451 |

## Long Context

- Claude Haiku 5.5: —
- GLM-5.1: 44.9 (#53)

| Benchmark | Claude Haiku 5.5 | GLM-5.1 |
|---|---|---|
| LMArena Longer Query | — | 1466 |

## Writing & Preference

- Claude Haiku 5.5: —
- GLM-5.1: 66.9 (#31)

| Benchmark | Claude Haiku 5.5 | GLM-5.1 |
|---|---|---|
| LMArena Text | — | 1461 |
| LMArena Creative Writing | — | 1453 |
| EQ-Bench Creative Writing | — | 1592 |
| LMArena Multi-Turn | — | 1472 |

## FAQ

### Is Claude Haiku 5.5 better than GLM-5.1?

Claude Haiku 5.5 is the stronger model overall, scoring 49.5 to 47.8 on the Noometry Index.

### Which is cheaper, Claude Haiku 5.5 or GLM-5.1?

Claude Haiku 5.5 is cheaper. It lists at $0.10 per million input tokens and $0.50 per million output tokens; GLM-5.1 lists at $1.40 and $4.40.

### Is Claude Haiku 5.5 or GLM-5.1 better for coding?

They score almost the same on coding (49.2 vs 48.7); test both on your own repository before choosing.

### Which has the bigger context window?

Claude Haiku 5.5 does, with 1M tokens against 200K.

### How many benchmarks do Claude Haiku 5.5 and GLM-5.1 share?

6 benchmarks have published results for both models. Claude Haiku 5.5 has 9 scored results on Noometry and GLM-5.1 has 41.