Model comparison
Claude 3 Haiku vs GLM-5.1
GLM-5.1 is the stronger model overall, scoring 47.8 to 25.9 on the Noometry Index.
Last verified . 22 shared benchmarks.
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 49.7 to 9.8.
- 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.
Side by side
| Claude 3 Haiku | GLM-5.1 | |
|---|---|---|
| Provider | Anthropic | Z.ai (Zhipu) |
| Noometry Index | 25.9 | 47.8 |
| Released | 2024-03-07 | 2026-04-07 |
| Weights | Proprietary | Open |
| Context window | — | 200K |
| Max output | — | 131K |
| Input $ / M tokens | — | $1.40 |
| Output $ / M tokens | — | $4.40 |
| Results tracked | 37 | 41 |
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Category by category
Coding GLM-5.1 leads
Claude 3 Haiku: 26.4 (#325), GLM-5.1: 48.7 (#55)
| Benchmark | Claude 3 Haiku | GLM-5.1 |
|---|---|---|
| WeirdML | 9.8% | 57.1% |
| LMArena Coding | 1199 | 1485 |
| SWE-bench Verified | — | 74.2% |
| LMArena WebDev | — | 1508 |
| 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 Not comparable
Claude 3 Haiku: —, GLM-5.1: 24.9 (#113)
| Benchmark | Claude 3 Haiku | GLM-5.1 |
|---|---|---|
| APEX-Agents | — | 40.9% |
| ExploitBench | — | 18.1% |
| GBAEval | — | 0% |
| Vending-Bench 2 | — | 5,634 |
Reasoning GLM-5.1 leads
Claude 3 Haiku: 16.3 (#307), GLM-5.1: 39.1 (#60)
| Benchmark | Claude 3 Haiku | GLM-5.1 |
|---|---|---|
| LMArena Hard Prompts | 1174 | 1472 |
| Epoch Capabilities Index | 118.35 | 149.84 |
| 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 GLM-5.1 leads
Claude 3 Haiku: 9.8 (#319), GLM-5.1: 49.7 (#60)
| Benchmark | Claude 3 Haiku | GLM-5.1 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.8% | 93.3% |
| LMArena Math | 1188 | 1473 |
| 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 GLM-5.1 leads
Claude 3 Haiku: 17.3 (#285), GLM-5.1: 54.9 (#50)
| Benchmark | Claude 3 Haiku | GLM-5.1 |
|---|---|---|
| GPQA Diamond | 36.3% | 89.9% |
| LMArena Expert | 1148 | 1476 |
| SimpleQA Verified | — | 34% |
| Confabulations | 34.2% | — |
| MMLU | 73.8% | — |
Multimodal Not comparable
Claude 3 Haiku: 23.6 (#128), GLM-5.1: —
| Benchmark | Claude 3 Haiku | GLM-5.1 |
|---|---|---|
| LMArena Vision | 950 | — |
| ScienceQA | 72% | — |
Multilingual GLM-5.1 leads
Claude 3 Haiku: 36.0 (#243), GLM-5.1: 55.0 (#36)
| Benchmark | Claude 3 Haiku | GLM-5.1 |
|---|---|---|
| LMArena Non-English | 1178 | 1447 |
| LMArena Chinese | 1155 | 1515 |
| LMArena French | 1195 | 1474 |
| LMArena German | 1174 | 1465 |
| LMArena Japanese | 1102 | 1434 |
| LMArena Korean | 1109 | 1418 |
| LMArena Russian | 1204 | 1454 |
| LMArena Spanish | 1166 | 1469 |
Instruction Following GLM-5.1 leads
Claude 3 Haiku: 61.3 (#247), GLM-5.1: 76.3 (#42)
| Benchmark | Claude 3 Haiku | GLM-5.1 |
|---|---|---|
| LMArena Instruction Following | 1173 | 1451 |
Long Context GLM-5.1 leads
Claude 3 Haiku: 36.1 (#237), GLM-5.1: 44.9 (#53)
| Benchmark | Claude 3 Haiku | GLM-5.1 |
|---|---|---|
| LMArena Longer Query | 1190 | 1466 |
Writing & Preference GLM-5.1 leads
Claude 3 Haiku: 29.7 (#291), GLM-5.1: 66.9 (#31)
| Benchmark | Claude 3 Haiku | GLM-5.1 |
|---|---|---|
| LMArena Text | 1195 | 1461 |
| LMArena Creative Writing | 1157 | 1453 |
| EQ-Bench Creative Writing | 717 | 1592 |
| LMArena Multi-Turn | 1190 | 1472 |
Frequently asked questions
Is Claude 3 Haiku better than GLM-5.1?
GLM-5.1 is the stronger model overall, scoring 47.8 to 25.9 on the Noometry Index.
Is Claude 3 Haiku or GLM-5.1 better for coding?
GLM-5.1 scores higher on coding benchmarks: 48.7 versus 26.4 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.