Model comparison
Qwen1.5-14B vs Tulu 3 (Tülu 3) 70B
Qwen1.5-14B and Tulu 3 (Tülu 3) 70B score almost the same on the Noometry Index (32.7 vs 33.0), so choose on price, context window or the category you care about most.
Last verified . 11 shared benchmarks.
Alibaba (Qwen)
Allen Institute for AI (Ai2)Summary
- They share 11 benchmarks with published results for both. Qwen1.5-14B scores higher in 2 categories and Tulu 3 (Tülu 3) 70B in 6 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen1.5-14B leads 32.4 to 14.2.
Side by side
| Qwen1.5-14B | Tulu 3 (Tülu 3) 70B | |
|---|---|---|
| Provider | Alibaba (Qwen) | Allen Institute for AI (Ai2) |
| Noometry Index | 32.7 | 33.0 |
| Released | 2024-02-04 | 2024-11-21 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 17 | 14 |
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Category by category
Coding Tulu 3 (Tülu 3) 70B leads
Qwen1.5-14B: 33.1 (#263), Tulu 3 (Tülu 3) 70B: 36.0 (#214)
| Benchmark | Qwen1.5-14B | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Coding | 1138 | 1235 |
Reasoning Tulu 3 (Tülu 3) 70B leads
Qwen1.5-14B: 21.4 (#223), Tulu 3 (Tülu 3) 70B: 23.9 (#169)
| Benchmark | Qwen1.5-14B | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Hard Prompts | 1113 | 1220 |
Math Qwen1.5-14B leads
Qwen1.5-14B: 32.4 (#215), Tulu 3 (Tülu 3) 70B: 14.2 (#303)
| Benchmark | Qwen1.5-14B | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Math | 1125 | 1242 |
| OTIS Mock AIME 2024-2025 | — | 4.4% |
| MATH Level 5 | — | 42.7% |
Knowledge Qwen1.5-14B leads
Qwen1.5-14B: 29.8 (#232), Tulu 3 (Tülu 3) 70B: 25.0 (#264)
| Benchmark | Qwen1.5-14B | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| GPQA Diamond | — | 46.3% |
| LMArena Expert | 1094 | — |
| MMLU | 68.6% | — |
Multilingual Tulu 3 (Tülu 3) 70B leads
Qwen1.5-14B: 30.7 (#262), Tulu 3 (Tülu 3) 70B: 39.9 (#222)
| Benchmark | Qwen1.5-14B | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Non-English | 1095 | 1236 |
| LMArena Chinese | 1147 | 1249 |
| LMArena Russian | 1046 | 1246 |
| LMArena French | 1116 | — |
| LMArena German | 1043 | — |
| LMArena Japanese | 1019 | — |
| LMArena Spanish | 1085 | — |
Instruction Following Tulu 3 (Tülu 3) 70B leads
Qwen1.5-14B: 56.8 (#271), Tulu 3 (Tülu 3) 70B: 64.8 (#227)
| Benchmark | Qwen1.5-14B | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Instruction Following | 1102 | 1233 |
Long Context Tulu 3 (Tülu 3) 70B leads
Qwen1.5-14B: 33.7 (#257), Tulu 3 (Tülu 3) 70B: 37.1 (#222)
| Benchmark | Qwen1.5-14B | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Longer Query | 1113 | 1224 |
Writing & Preference Tulu 3 (Tülu 3) 70B leads
Qwen1.5-14B: 33.6 (#276), Tulu 3 (Tülu 3) 70B: 45.6 (#223)
| Benchmark | Qwen1.5-14B | Tulu 3 (Tülu 3) 70B |
|---|---|---|
| LMArena Text | 1128 | 1256 |
| LMArena Creative Writing | 1091 | 1231 |
| LMArena Multi-Turn | 1110 | 1252 |
Frequently asked questions
Is Qwen1.5-14B better than Tulu 3 (Tülu 3) 70B?
Qwen1.5-14B and Tulu 3 (Tülu 3) 70B score almost the same on the Noometry Index (32.7 vs 33.0), so choose on price, context window or the category you care about most.
Is Qwen1.5-14B or Tulu 3 (Tülu 3) 70B better for coding?
Tulu 3 (Tülu 3) 70B scores higher on coding benchmarks: 36.0 versus 33.1 in the Noometry coding category.
How many benchmarks do Qwen1.5-14B and Tulu 3 (Tülu 3) 70B share?
11 benchmarks have published results for both models. Qwen1.5-14B has 17 scored results on Noometry and Tulu 3 (Tülu 3) 70B has 14.