# Claude 3 Haiku vs GLM-5.1

> GLM-5.1 is the stronger model overall, scoring 47.6 to 25.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/claude-3-haiku-vs-glm-5-1
- Last updated: 2026-10-10
- Shared benchmarks: 22

## Summary

- They share 22 benchmarks with published results for both. Claude 3 Haiku scores higher in 0 categories and GLM-5.1 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where GLM-5.1 leads 49.0 to 9.2.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 1.8% for Claude 3 Haiku and 93.3% for GLM-5.1.
- GLM-5.1 has downloadable open weights; the other is API-only.

## Snapshot

| | Claude 3 Haiku | GLM-5.1 |
|---|---|---|
| Provider | Anthropic | Z.ai (Zhipu) |
| Noometry Index | 25.7 | 47.6 |
| Rank | 333 | 51 |
| Context | — | 200K |
| Input $/M | — | $1.40 |
| Output $/M | — | $4.40 |
| Weights | Proprietary | Open |

## Coding

- Claude 3 Haiku: 26.1 (#320)
- GLM-5.1: 48.5 (#52)

| Benchmark | Claude 3 Haiku | GLM-5.1 |
|---|---|---|
| WeirdML | 9.8% | 57.1% |
| LMArena Coding | 1199 | 1486 |
| SWE-bench Verified | — | 74.2% |
| LMArena WebDev | — | 1509 |
| SciCode | — | 43.8% |
| BigCodeBench Instruct | 39.4% | — |
| BigCodeBench Complete | 50.1% | — |
| CadEval | 12% | — |
| ALE-Bench | — | 887.1 |
| HumanEval+ | 68.9% | — |
| MBPP+ | 68.8% | — |

## Agentic & Tool Use

- Claude 3 Haiku: —
- GLM-5.1: 24.8 (#106)

| Benchmark | Claude 3 Haiku | GLM-5.1 |
|---|---|---|
| APEX-Agents | — | 40.9% |
| ExploitBench | — | 18.1% |
| GBAEval | — | 0% |
| Vending-Bench 2 | — | 5,634 |

## Reasoning

- Claude 3 Haiku: 15.7 (#303)
- GLM-5.1: 38.2 (#57)

| Benchmark | Claude 3 Haiku | GLM-5.1 |
|---|---|---|
| LMArena Hard Prompts | 1174 | 1472 |
| Epoch Capabilities Index | 118.3 | 149.86 |
| SimpleBench | — | 55.1% |
| Kagi LLM Benchmark | 34.2% | — |
| NYT Connections (extended) | — | 77.7% |
| CritPt | — | 4.6% |
| Chess Puzzles | — | 19% |
| Thematic Generalization | — | 69.8% |
| DTBench | 50.1% | — |
| LMCA | 8.8% | — |
| ForecastBench | 53.2 | — |
| WinoGrande | 74.2% | — |

## Math

- Claude 3 Haiku: 9.2 (#313)
- GLM-5.1: 49.0 (#48)

| Benchmark | Claude 3 Haiku | GLM-5.1 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.8% | 93.3% |
| LMArena Math | 1188 | 1472 |
| FrontierMath (Tiers 1-3) | — | 36.8% |
| MathArena Final-Answer Competitions | — | 67.1% |
| ProofBench | — | 22.2% |
| MATH Level 5 | 14.9% | — |
| FrontierMath (Feb 2025 set) | — | 33.4% |
| FrontierMath Tier 4 (v1) | — | 12.5% |

## Knowledge

- Claude 3 Haiku: 17.3 (#280)
- GLM-5.1: 55.0 (#45)

| Benchmark | Claude 3 Haiku | GLM-5.1 |
|---|---|---|
| GPQA Diamond | 36.3% | 89.9% |
| LMArena Expert | 1148 | 1477 |
| SimpleQA Verified | — | 34% |
| Confabulations | 34.2% | — |
| MMLU | 73.8% | — |

## Multimodal

- Claude 3 Haiku: 23.1 (#123)
- GLM-5.1: —

| Benchmark | Claude 3 Haiku | GLM-5.1 |
|---|---|---|
| LMArena Vision | 950 | — |
| ScienceQA | 72% | — |

## Multilingual

- Claude 3 Haiku: 36.1 (#238)
- GLM-5.1: 55.2 (#34)

| Benchmark | Claude 3 Haiku | GLM-5.1 |
|---|---|---|
| LMArena Non-English | 1178 | 1448 |
| LMArena Chinese | 1155 | 1516 |
| LMArena French | 1194 | 1478 |
| LMArena German | 1174 | 1466 |
| LMArena Japanese | 1102 | 1436 |
| LMArena Korean | 1108 | 1423 |
| LMArena Russian | 1204 | 1453 |
| LMArena Spanish | 1165 | 1467 |

## Instruction Following

- Claude 3 Haiku: 61.5 (#242)
- GLM-5.1: 76.5 (#41)

| Benchmark | Claude 3 Haiku | GLM-5.1 |
|---|---|---|
| LMArena Instruction Following | 1174 | 1451 |

## Long Context

- Claude 3 Haiku: 36.1 (#232)
- GLM-5.1: 44.9 (#51)

| Benchmark | Claude 3 Haiku | GLM-5.1 |
|---|---|---|
| LMArena Longer Query | 1191 | 1467 |

## Writing & Preference

- Claude 3 Haiku: 29.8 (#286)
- GLM-5.1: 67.2 (#29)

| Benchmark | Claude 3 Haiku | GLM-5.1 |
|---|---|---|
| LMArena Text | 1195 | 1462 |
| LMArena Creative Writing | 1157 | 1454 |
| EQ-Bench Creative Writing | 717 | 1592 |
| LMArena Multi-Turn | 1190 | 1473 |

## FAQ

### Is Claude 3 Haiku better than GLM-5.1?

GLM-5.1 is the stronger model overall, scoring 47.6 to 25.7 on the Noometry Index.

### Is Claude 3 Haiku or GLM-5.1 better for coding?

GLM-5.1 scores higher on coding benchmarks: 48.5 versus 26.1 in the Noometry coding category.

### How many benchmarks do Claude 3 Haiku and GLM-5.1 share?

22 benchmarks have published results for both models. Claude 3 Haiku has 37 scored results on Noometry and GLM-5.1 has 41.