Model comparison
Claude 3.5 Haiku vs Llama 3.2 3B
Claude 3.5 Haiku and Llama 3.2 3B score almost the same on the Noometry Index (29.2 vs 28.9), so choose on price, context window or the category you care about most.
Last verified . 17 shared benchmarks.
MetaSummary
- They share 17 benchmarks with published results for both. Claude 3.5 Haiku scores higher in 6 categories and Llama 3.2 3B in 3 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Claude 3.5 Haiku leads 42.7 to 24.7.
- The biggest single-benchmark swing is BigCodeBench Complete: 59% for Claude 3.5 Haiku and 28.3% for Llama 3.2 3B.
- Llama 3.2 3B has downloadable open weights; the other is API-only.
Side by side
| Claude 3.5 Haiku | Llama 3.2 3B | |
|---|---|---|
| Provider | Anthropic | Meta |
| Noometry Index | 29.2 | 28.9 |
| Released | 2024-10-22 | 2024-09-24 |
| Weights | Proprietary | Open |
| Context window | — | 131K |
| Max output | — | 118K |
| Input $ / M tokens | — | $0.05 |
| Output $ / M tokens | — | $0.33 |
| Results tracked | 49 | 18 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Claude 3.5 Haiku leads
Claude 3.5 Haiku: 32.9 (#265), Llama 3.2 3B: 27.6 (#319)
| Benchmark | Claude 3.5 Haiku | Llama 3.2 3B |
|---|---|---|
| BigCodeBench Instruct | 46.1% | 23.4% |
| LMArena Coding | 1286 | 1098 |
| BigCodeBench Complete | 59% | 28.3% |
| Aider Polyglot | 28% | — |
| SciCode | 27.4% | — |
| WeirdML | 30.7% | — |
| LiveBench Coding | 51.4% | — |
| CadEval | 32% | — |
Agentic & Tool Use Claude 3.5 Haiku leads
Claude 3.5 Haiku: 28.0 (#95), Llama 3.2 3B: 20.1 (#143)
| Benchmark | Claude 3.5 Haiku | Llama 3.2 3B |
|---|---|---|
| BALROG | 19.3% | 10.1% |
| Berkeley Function Calling Leaderboard | — | 21.9% |
Reasoning Llama 3.2 3B leads
Claude 3.5 Haiku: 17.7 (#290), Llama 3.2 3B: 21.0 (#228)
| Benchmark | Claude 3.5 Haiku | Llama 3.2 3B |
|---|---|---|
| LMArena Hard Prompts | 1251 | 1095 |
| CritPt | 0% | — |
| LiveBench Reasoning | 28.1% | — |
| DTBench | 56.7% | — |
| LiveBench Data Analysis | 48.5% | — |
| Epoch Capabilities Index | 127.15 | — |
| LiveBench | 43.5% | — |
Math Llama 3.2 3B leads
Claude 3.5 Haiku: 14.7 (#300), Llama 3.2 3B: 32.4 (#214)
| Benchmark | Claude 3.5 Haiku | Llama 3.2 3B |
|---|---|---|
| LMArena Math | 1244 | 1126 |
| OTIS Mock AIME 2024-2025 | 4.3% | — |
| Omni-MATH | 22.4% | — |
| LiveBench Math | 35.5% | — |
| MATH Level 5 | 46.4% | — |
| FrontierMath (Feb 2025 set) | 0.3% | — |
Knowledge Llama 3.2 3B leads
Claude 3.5 Haiku: 18.7 (#281), Llama 3.2 3B: 29.7 (#235)
| Benchmark | Claude 3.5 Haiku | Llama 3.2 3B |
|---|---|---|
| LMArena Expert | 1208 | 1090 |
| GPQA Diamond | 38.1% | — |
| MMLU-Pro | 60.5% | — |
| Confabulations | 36.7% | — |
| GPQA (HELM) | 36.3% | — |
| MMLU | 74.3% | — |
Multimodal Not comparable
Claude 3.5 Haiku: 26.8 (#117), Llama 3.2 3B: —
| Benchmark | Claude 3.5 Haiku | Llama 3.2 3B |
|---|---|---|
| LMArena Vision | 1092 | — |
| GeoBench | 34% | — |
Multilingual Claude 3.5 Haiku leads
Claude 3.5 Haiku: 40.0 (#218), Llama 3.2 3B: 26.2 (#281)
| Benchmark | Claude 3.5 Haiku | Llama 3.2 3B |
|---|---|---|
| LMArena Non-English | 1238 | 1019 |
| LMArena Chinese | 1229 | 1017 |
| LMArena German | 1237 | 1056 |
| LMArena Russian | 1253 | 949 |
| LMArena French | 1264 | — |
| LMArena Japanese | 1175 | — |
| LMArena Korean | 1173 | — |
| LMArena Spanish | 1261 | — |
Instruction Following Claude 3.5 Haiku leads
Claude 3.5 Haiku: 62.9 (#234), Llama 3.2 3B: 56.0 (#275)
| Benchmark | Claude 3.5 Haiku | Llama 3.2 3B |
|---|---|---|
| LMArena Instruction Following | 1241 | 1089 |
| LiveBench Instruction Following | 61.9% | — |
| IFEval | 79.2% | — |
Long Context Claude 3.5 Haiku leads
Claude 3.5 Haiku: 38.3 (#200), Llama 3.2 3B: 33.4 (#261)
| Benchmark | Claude 3.5 Haiku | Llama 3.2 3B |
|---|---|---|
| LMArena Longer Query | 1261 | 1100 |
Writing & Preference Claude 3.5 Haiku leads
Claude 3.5 Haiku: 42.7 (#234), Llama 3.2 3B: 24.7 (#307)
| Benchmark | Claude 3.5 Haiku | Llama 3.2 3B |
|---|---|---|
| LMArena Text | 1255 | 1110 |
| LMArena Creative Writing | 1233 | 1094 |
| EQ-Bench Creative Writing | 1146 | 595 |
| LMArena Multi-Turn | 1265 | 1105 |
| Short-Story Creative Writing | 73.5% | — |
| WildBench | 76% | — |
| LiveBench Language | 35.4% | — |
Frequently asked questions
Is Claude 3.5 Haiku better than Llama 3.2 3B?
Claude 3.5 Haiku and Llama 3.2 3B score almost the same on the Noometry Index (29.2 vs 28.9), so choose on price, context window or the category you care about most.
Is Claude 3.5 Haiku or Llama 3.2 3B better for coding?
Claude 3.5 Haiku scores higher on coding benchmarks: 32.9 versus 27.6 in the Noometry coding category.
How many benchmarks do Claude 3.5 Haiku and Llama 3.2 3B share?
17 benchmarks have published results for both models. Claude 3.5 Haiku has 49 scored results on Noometry and Llama 3.2 3B has 18.