Model comparison
Llama 3.1 Tulu 3 8b vs Qwen1.5-14B
Llama 3.1 Tulu 3 8b is the stronger model overall, scoring 35.7 to 32.7 on the Noometry Index.
Last verified . 11 shared benchmarks.
Allen Institute for AI (Ai2)
Alibaba (Qwen)Summary
- They share 11 benchmarks with published results for both. Llama 3.1 Tulu 3 8b scores higher in 7 categories and Qwen1.5-14B in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Llama 3.1 Tulu 3 8b leads 39.7 to 33.6.
Side by side
| Llama 3.1 Tulu 3 8b | Qwen1.5-14B | |
|---|---|---|
| Provider | Allen Institute for AI (Ai2) | Alibaba (Qwen) |
| Noometry Index | 35.7 | 32.7 |
| Released | — | 2024-02-04 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 11 | 17 |
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Category by category
Coding Llama 3.1 Tulu 3 8b leads
Llama 3.1 Tulu 3 8b: 34.4 (#235), Qwen1.5-14B: 33.1 (#263)
| Benchmark | Llama 3.1 Tulu 3 8b | Qwen1.5-14B |
|---|---|---|
| LMArena Coding | 1183 | 1138 |
Reasoning Llama 3.1 Tulu 3 8b leads
Llama 3.1 Tulu 3 8b: 22.8 (#188), Qwen1.5-14B: 21.4 (#223)
| Benchmark | Llama 3.1 Tulu 3 8b | Qwen1.5-14B |
|---|---|---|
| LMArena Hard Prompts | 1174 | 1113 |
Math Llama 3.1 Tulu 3 8b leads
Llama 3.1 Tulu 3 8b: 33.9 (#198), Qwen1.5-14B: 32.4 (#215)
| Benchmark | Llama 3.1 Tulu 3 8b | Qwen1.5-14B |
|---|---|---|
| LMArena Math | 1195 | 1125 |
Knowledge Not comparable
Llama 3.1 Tulu 3 8b: —, Qwen1.5-14B: 29.8 (#232)
| Benchmark | Llama 3.1 Tulu 3 8b | Qwen1.5-14B |
|---|---|---|
| LMArena Expert | — | 1094 |
| MMLU | — | 68.6% |
Multilingual Llama 3.1 Tulu 3 8b leads
Llama 3.1 Tulu 3 8b: 35.4 (#246), Qwen1.5-14B: 30.7 (#262)
| Benchmark | Llama 3.1 Tulu 3 8b | Qwen1.5-14B |
|---|---|---|
| LMArena Non-English | 1169 | 1095 |
| LMArena Chinese | 1176 | 1147 |
| LMArena Russian | 1193 | 1046 |
| LMArena French | — | 1116 |
| LMArena German | — | 1043 |
| LMArena Japanese | — | 1019 |
| LMArena Spanish | — | 1085 |
Instruction Following Llama 3.1 Tulu 3 8b leads
Llama 3.1 Tulu 3 8b: 61.3 (#246), Qwen1.5-14B: 56.8 (#271)
| Benchmark | Llama 3.1 Tulu 3 8b | Qwen1.5-14B |
|---|---|---|
| LMArena Instruction Following | 1174 | 1102 |
Long Context Llama 3.1 Tulu 3 8b leads
Llama 3.1 Tulu 3 8b: 35.8 (#239), Qwen1.5-14B: 33.7 (#257)
| Benchmark | Llama 3.1 Tulu 3 8b | Qwen1.5-14B |
|---|---|---|
| LMArena Longer Query | 1181 | 1113 |
Writing & Preference Llama 3.1 Tulu 3 8b leads
Llama 3.1 Tulu 3 8b: 39.7 (#245), Qwen1.5-14B: 33.6 (#276)
| Benchmark | Llama 3.1 Tulu 3 8b | Qwen1.5-14B |
|---|---|---|
| LMArena Text | 1193 | 1128 |
| LMArena Creative Writing | 1182 | 1091 |
| LMArena Multi-Turn | 1154 | 1110 |
Frequently asked questions
Is Llama 3.1 Tulu 3 8b better than Qwen1.5-14B?
Llama 3.1 Tulu 3 8b is the stronger model overall, scoring 35.7 to 32.7 on the Noometry Index.
Is Llama 3.1 Tulu 3 8b or Qwen1.5-14B better for coding?
Llama 3.1 Tulu 3 8b scores higher on coding benchmarks: 34.4 versus 33.1 in the Noometry coding category.
How many benchmarks do Llama 3.1 Tulu 3 8b and Qwen1.5-14B share?
11 benchmarks have published results for both models. Llama 3.1 Tulu 3 8b has 11 scored results on Noometry and Qwen1.5-14B has 17.