Model comparison
Claude 3.5 Haiku vs Llama 3.1 Tulu 3 8b
Llama 3.1 Tulu 3 8b is the stronger model overall, scoring 35.7 to 29.2 on the Noometry Index.
Last verified . 11 shared benchmarks.
Allen Institute for AI (Ai2)Summary
- They share 11 benchmarks with published results for both. Claude 3.5 Haiku scores higher in 4 categories and Llama 3.1 Tulu 3 8b in 3 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where Llama 3.1 Tulu 3 8b leads 33.9 to 14.7.
- Llama 3.1 Tulu 3 8b has downloadable open weights; the other is API-only.
Side by side
| Claude 3.5 Haiku | Llama 3.1 Tulu 3 8b | |
|---|---|---|
| Provider | Anthropic | Allen Institute for AI (Ai2) |
| Noometry Index | 29.2 | 35.7 |
| Released | 2024-10-22 | — |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 49 | 11 |
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Category by category
Coding Llama 3.1 Tulu 3 8b leads
Claude 3.5 Haiku: 32.9 (#265), Llama 3.1 Tulu 3 8b: 34.4 (#235)
| Benchmark | Claude 3.5 Haiku | Llama 3.1 Tulu 3 8b |
|---|---|---|
| LMArena Coding | 1286 | 1183 |
| Aider Polyglot | 28% | — |
| SciCode | 27.4% | — |
| WeirdML | 30.7% | — |
| BigCodeBench Instruct | 46.1% | — |
| LiveBench Coding | 51.4% | — |
| BigCodeBench Complete | 59% | — |
| CadEval | 32% | — |
Agentic & Tool Use Not comparable
Claude 3.5 Haiku: 28.0 (#95), Llama 3.1 Tulu 3 8b: —
| Benchmark | Claude 3.5 Haiku | Llama 3.1 Tulu 3 8b |
|---|---|---|
| BALROG | 19.3% | — |
Reasoning Llama 3.1 Tulu 3 8b leads
Claude 3.5 Haiku: 17.7 (#290), Llama 3.1 Tulu 3 8b: 22.8 (#188)
| Benchmark | Claude 3.5 Haiku | Llama 3.1 Tulu 3 8b |
|---|---|---|
| LMArena Hard Prompts | 1251 | 1174 |
| CritPt | 0% | — |
| LiveBench Reasoning | 28.1% | — |
| DTBench | 56.7% | — |
| LiveBench Data Analysis | 48.5% | — |
| Epoch Capabilities Index | 127.15 | — |
| LiveBench | 43.5% | — |
Math Llama 3.1 Tulu 3 8b leads
Claude 3.5 Haiku: 14.7 (#300), Llama 3.1 Tulu 3 8b: 33.9 (#198)
| Benchmark | Claude 3.5 Haiku | Llama 3.1 Tulu 3 8b |
|---|---|---|
| LMArena Math | 1244 | 1195 |
| 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 Not comparable
Claude 3.5 Haiku: 18.7 (#281), Llama 3.1 Tulu 3 8b: —
| Benchmark | Claude 3.5 Haiku | Llama 3.1 Tulu 3 8b |
|---|---|---|
| GPQA Diamond | 38.1% | — |
| MMLU-Pro | 60.5% | — |
| Confabulations | 36.7% | — |
| GPQA (HELM) | 36.3% | — |
| LMArena Expert | 1208 | — |
| MMLU | 74.3% | — |
Multimodal Not comparable
Claude 3.5 Haiku: 26.8 (#117), Llama 3.1 Tulu 3 8b: —
| Benchmark | Claude 3.5 Haiku | Llama 3.1 Tulu 3 8b |
|---|---|---|
| LMArena Vision | 1092 | — |
| GeoBench | 34% | — |
Multilingual Claude 3.5 Haiku leads
Claude 3.5 Haiku: 40.0 (#218), Llama 3.1 Tulu 3 8b: 35.4 (#246)
| Benchmark | Claude 3.5 Haiku | Llama 3.1 Tulu 3 8b |
|---|---|---|
| LMArena Non-English | 1238 | 1169 |
| LMArena Chinese | 1229 | 1176 |
| LMArena Russian | 1253 | 1193 |
| LMArena French | 1264 | — |
| LMArena German | 1237 | — |
| LMArena Japanese | 1175 | — |
| LMArena Korean | 1173 | — |
| LMArena Spanish | 1261 | — |
Instruction Following Claude 3.5 Haiku leads
Claude 3.5 Haiku: 62.9 (#234), Llama 3.1 Tulu 3 8b: 61.3 (#246)
| Benchmark | Claude 3.5 Haiku | Llama 3.1 Tulu 3 8b |
|---|---|---|
| LMArena Instruction Following | 1241 | 1174 |
| LiveBench Instruction Following | 61.9% | — |
| IFEval | 79.2% | — |
Long Context Claude 3.5 Haiku leads
Claude 3.5 Haiku: 38.3 (#200), Llama 3.1 Tulu 3 8b: 35.8 (#239)
| Benchmark | Claude 3.5 Haiku | Llama 3.1 Tulu 3 8b |
|---|---|---|
| LMArena Longer Query | 1261 | 1181 |
Writing & Preference Claude 3.5 Haiku leads
Claude 3.5 Haiku: 42.7 (#234), Llama 3.1 Tulu 3 8b: 39.7 (#245)
| Benchmark | Claude 3.5 Haiku | Llama 3.1 Tulu 3 8b |
|---|---|---|
| LMArena Text | 1255 | 1193 |
| LMArena Creative Writing | 1233 | 1182 |
| LMArena Multi-Turn | 1265 | 1154 |
| Short-Story Creative Writing | 73.5% | — |
| EQ-Bench Creative Writing | 1146 | — |
| WildBench | 76% | — |
| LiveBench Language | 35.4% | — |
Frequently asked questions
Is Claude 3.5 Haiku better than Llama 3.1 Tulu 3 8b?
Llama 3.1 Tulu 3 8b is the stronger model overall, scoring 35.7 to 29.2 on the Noometry Index.
Is Claude 3.5 Haiku or Llama 3.1 Tulu 3 8b better for coding?
Llama 3.1 Tulu 3 8b scores higher on coding benchmarks: 34.4 versus 32.9 in the Noometry coding category.
How many benchmarks do Claude 3.5 Haiku and Llama 3.1 Tulu 3 8b share?
11 benchmarks have published results for both models. Claude 3.5 Haiku has 49 scored results on Noometry and Llama 3.1 Tulu 3 8b has 11.