Model comparison
Claude 3 Haiku vs Phi-1.5
Claude 3 Haiku has enough public results to be ranked (#340); Phi-1.5 does not yet, so treat this comparison as directional.
Last verified . 3 shared benchmarks.
Summary
- They share 3 benchmarks with published results for both.
- Phi-1.5 has downloadable open weights; the other is API-only.
Side by side
| Claude 3 Haiku | Phi-1.5 | |
|---|---|---|
| Provider | Anthropic | Microsoft |
| Noometry Index | 25.9 | — |
| Released | 2024-03-07 | 2023-09-11 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 37 | 7 |
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Category by category
Coding Not comparable
Claude 3 Haiku: 26.4 (#325), Phi-1.5: —
| Benchmark | Claude 3 Haiku | Phi-1.5 |
|---|---|---|
| WeirdML | 9.8% | — |
| BigCodeBench Instruct | 39.4% | — |
| LMArena Coding | 1199 | — |
| BigCodeBench Complete | 50.1% | — |
| CadEval | 12% | — |
| HumanEval+ | 68.9% | — |
| MBPP+ | 68.8% | — |
Reasoning Not comparable
Claude 3 Haiku: 16.3 (#307), Phi-1.5: —
| Benchmark | Claude 3 Haiku | Phi-1.5 |
|---|---|---|
| Epoch Capabilities Index | 118.35 | 91.53 |
| WinoGrande | 74.2% | 73.4% |
| Kagi LLM Benchmark | 34.2% | — |
| LMArena Hard Prompts | 1174 | — |
| DTBench | 50.1% | — |
| LMCA | 8.8% | — |
| ForecastBench | 53.2 | — |
| HellaSwag | — | 47.6% |
Math Not comparable
Claude 3 Haiku: 9.8 (#319), Phi-1.5: —
| Benchmark | Claude 3 Haiku | Phi-1.5 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.8% | — |
| LMArena Math | 1188 | — |
| MATH Level 5 | 14.9% | — |
Knowledge Not comparable
Claude 3 Haiku: 17.3 (#285), Phi-1.5: —
| Benchmark | Claude 3 Haiku | Phi-1.5 |
|---|---|---|
| MMLU | 73.8% | 37.6% |
| GPQA Diamond | 36.3% | — |
| Confabulations | 34.2% | — |
| LMArena Expert | 1148 | — |
| ARC (AI2) Challenge | — | 44.4% |
| BoolQ | — | 75.8% |
| OpenBookQA | — | 37.2% |
Multimodal Not comparable
Claude 3 Haiku: 23.6 (#128), Phi-1.5: —
| Benchmark | Claude 3 Haiku | Phi-1.5 |
|---|---|---|
| LMArena Vision | 950 | — |
| ScienceQA | 72% | — |
Multilingual Not comparable
Claude 3 Haiku: 36.0 (#243), Phi-1.5: —
| Benchmark | Claude 3 Haiku | Phi-1.5 |
|---|---|---|
| LMArena Non-English | 1178 | — |
| LMArena Chinese | 1155 | — |
| LMArena French | 1195 | — |
| LMArena German | 1174 | — |
| LMArena Japanese | 1102 | — |
| LMArena Korean | 1109 | — |
| LMArena Russian | 1204 | — |
| LMArena Spanish | 1166 | — |
Instruction Following Not comparable
Claude 3 Haiku: 61.3 (#247), Phi-1.5: —
| Benchmark | Claude 3 Haiku | Phi-1.5 |
|---|---|---|
| LMArena Instruction Following | 1173 | — |
Long Context Not comparable
Claude 3 Haiku: 36.1 (#237), Phi-1.5: —
| Benchmark | Claude 3 Haiku | Phi-1.5 |
|---|---|---|
| LMArena Longer Query | 1190 | — |
Writing & Preference Not comparable
Claude 3 Haiku: 29.7 (#291), Phi-1.5: —
| Benchmark | Claude 3 Haiku | Phi-1.5 |
|---|---|---|
| LMArena Text | 1195 | — |
| LMArena Creative Writing | 1157 | — |
| EQ-Bench Creative Writing | 717 | — |
| LMArena Multi-Turn | 1190 | — |
Frequently asked questions
Is Claude 3 Haiku better than Phi-1.5?
Claude 3 Haiku has enough public results to be ranked (#340); Phi-1.5 does not yet, so treat this comparison as directional.
How many benchmarks do Claude 3 Haiku and Phi-1.5 share?
3 benchmarks have published results for both models. Claude 3 Haiku has 37 scored results on Noometry and Phi-1.5 has 7.