# Claude Haiku 5.5 vs GLM-4.7

> Claude Haiku 5.5 is the stronger model overall, scoring 49.5 to 42.0 on the Noometry Index.

- Canonical page: https://noometry.com/compare/claude-haiku-5-5-vs-glm-4-7
- Last updated: 2026-10-12
- Shared benchmarks: 4

## Summary

- They share 4 benchmarks with published results for both. Claude Haiku 5.5 scores higher in 4 categories and GLM-4.7 in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Haiku 5.5 leads 73.6 to 38.6.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 98.9% for Claude Haiku 5.5 and 83.3% for GLM-4.7.
- Claude Haiku 5.5 is cheaper at $0.10 / $0.50 per million input/output tokens, against $0.60 / $2.20 for GLM-4.7.
- Claude Haiku 5.5 accepts more context: 1M tokens versus 205K.
- GLM-4.7 has downloadable open weights; the other is API-only.

## Snapshot

| | Claude Haiku 5.5 | GLM-4.7 |
|---|---|---|
| Provider | Anthropic | Z.ai (Zhipu) |
| Noometry Index | 49.5 | 42.0 |
| Rank | 52 | 124 |
| Context | 1M | 205K |
| Input $/M | $0.10 | $0.60 |
| Output $/M | $0.50 | $2.20 |
| Weights | Proprietary | Open |

## Coding

- Claude Haiku 5.5: 49.2 (#50)
- GLM-4.7: 44.0 (#79)

| Benchmark | Claude Haiku 5.5 | GLM-4.7 |
|---|---|---|
| LMArena WebDev | 1587 | 1435 |
| SciCode | — | 45.1% |
| LMArena Coding | — | 1454 |
| ALE-Bench | — | 399.48 |

## Agentic & Tool Use

- Claude Haiku 5.5: —
- GLM-4.7: 26.5 (#103)

| Benchmark | Claude Haiku 5.5 | GLM-4.7 |
|---|---|---|
| Terminal-Bench | — | 33.4% |
| Vending-Bench 2 | — | 2,377 |

## Reasoning

- Claude Haiku 5.5: 35.2 (#69)
- GLM-4.7: 24.3 (#164)

| Benchmark | Claude Haiku 5.5 | GLM-4.7 |
|---|---|---|
| SimpleBench | — | 47.7% |
| NYT Connections (extended) | 65.7% | — |
| CritPt | — | 1.7% |
| Chess Puzzles | — | 6% |
| LMArena Hard Prompts | — | 1443 |
| Mystery Game Puzzles | 30% | — |
| Epoch Capabilities Index | — | 143.51 |

## Math

- Claude Haiku 5.5: 73.6 (#18)
- GLM-4.7: 38.6 (#135)

| Benchmark | Claude Haiku 5.5 | GLM-4.7 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 98.9% | 83.3% |
| FrontierMath (Tiers 1-3) | 75.1% | — |
| FrontierMath Tier 4 | 46.3% | — |
| ProofBench | — | 6% |
| LMArena Math | — | 1423 |
| FrontierMath (Feb 2025 set) | — | 2.4% |
| FrontierMath Tier 4 (v1) | — | 0% |

## Knowledge

- Claude Haiku 5.5: 50.8 (#70)
- GLM-4.7: 47.0 (#80)

| Benchmark | Claude Haiku 5.5 | GLM-4.7 |
|---|---|---|
| GPQA Diamond | 89.6% | 83.3% |
| SimpleQA Verified | 23.8% | 32.2% |
| Vectara Hallucination Rate | — | 11.7% |
| LMArena Expert | — | 1424 |

## Multimodal

- Claude Haiku 5.5: 43.7 (#21)
- GLM-4.7: —

| Benchmark | Claude Haiku 5.5 | GLM-4.7 |
|---|---|---|
| Furniture Assembly | 47.5% | — |

## Multilingual

- Claude Haiku 5.5: —
- GLM-4.7: 52.8 (#79)

| Benchmark | Claude Haiku 5.5 | GLM-4.7 |
|---|---|---|
| LMArena Non-English | — | 1417 |
| LMArena Chinese | — | 1495 |
| LMArena French | — | 1432 |
| LMArena German | — | 1424 |
| LMArena Japanese | — | 1439 |
| LMArena Korean | — | 1399 |
| LMArena Russian | — | 1423 |
| LMArena Spanish | — | 1434 |

## Instruction Following

- Claude Haiku 5.5: —
- GLM-4.7: 74.4 (#95)

| Benchmark | Claude Haiku 5.5 | GLM-4.7 |
|---|---|---|
| LMArena Instruction Following | — | 1411 |

## Long Context

- Claude Haiku 5.5: —
- GLM-4.7: 42.8 (#116)

| Benchmark | Claude Haiku 5.5 | GLM-4.7 |
|---|---|---|
| CL-bench | — | 15.9% |
| CL-bench Life | — | 10.9% |
| LMArena Longer Query | — | 1432 |

## Writing & Preference

- Claude Haiku 5.5: —
- GLM-4.7: 60.9 (#93)

| Benchmark | Claude Haiku 5.5 | GLM-4.7 |
|---|---|---|
| LMArena Text | — | 1435 |
| LMArena Creative Writing | — | 1401 |
| EQ-Bench Creative Writing | — | 1413 |
| LMArena Multi-Turn | — | 1446 |

## FAQ

### Is Claude Haiku 5.5 better than GLM-4.7?

Claude Haiku 5.5 is the stronger model overall, scoring 49.5 to 42.0 on the Noometry Index.

### Which is cheaper, Claude Haiku 5.5 or GLM-4.7?

Claude Haiku 5.5 is cheaper. It lists at $0.10 per million input tokens and $0.50 per million output tokens; GLM-4.7 lists at $0.60 and $2.20.

### Is Claude Haiku 5.5 or GLM-4.7 better for coding?

Claude Haiku 5.5 scores higher on coding benchmarks: 49.2 versus 44.0 in the Noometry coding category.

### Which has the bigger context window?

Claude Haiku 5.5 does, with 1M tokens against 205K.

### How many benchmarks do Claude Haiku 5.5 and GLM-4.7 share?

4 benchmarks have published results for both models. Claude Haiku 5.5 has 9 scored results on Noometry and GLM-4.7 has 36.