Model comparison
Mercury vs Qwen1.5-72B
Mercury is the stronger model overall, scoring 37.6 to 30.8 on the Noometry Index.
Last verified . 8 shared benchmarks.
Alibaba (Qwen)Summary
- They share 8 benchmarks with published results for both. Mercury scores higher in 5 categories and Qwen1.5-72B in 1 category; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Mercury leads 46.2 to 37.3.
- Qwen1.5-72B has downloadable open weights; the other is API-only.
Side by side
| Mercury | Qwen1.5-72B | |
|---|---|---|
| Provider | Inception | Alibaba (Qwen) |
| Noometry Index | 37.6 | 30.8 |
| Released | — | 2024-02-04 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 9 | 22 |
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Category by category
Coding Mercury leads
Mercury: 38.7 (#170), Qwen1.5-72B: 31.9 (#277)
| Benchmark | Mercury | Qwen1.5-72B |
|---|---|---|
| LMArena Coding | 1322 | 1165 |
| BigCodeBench Instruct | — | 33.2% |
| BigCodeBench Complete | — | 40.3% |
| HumanEval+ | — | 59.1% |
| MBPP+ | — | 61.6% |
Reasoning Qwen1.5-72B leads
Mercury: 17.5 (#293), Qwen1.5-72B: 22.2 (#203)
| Benchmark | Mercury | Qwen1.5-72B |
|---|---|---|
| LMArena Hard Prompts | 1285 | 1148 |
| Kagi LLM Benchmark | 21.6% | — |
Math Not comparable
Mercury: —, Qwen1.5-72B: 33.2 (#205)
| Benchmark | Mercury | Qwen1.5-72B |
|---|---|---|
| LMArena Math | — | 1164 |
Knowledge Not comparable
Mercury: —, Qwen1.5-72B: 11.5 (#300)
| Benchmark | Mercury | Qwen1.5-72B |
|---|---|---|
| GPQA Diamond | — | 28.8% |
| LMArena Expert | — | 1136 |
Multilingual Mercury leads
Mercury: 41.6 (#206), Qwen1.5-72B: 33.2 (#253)
| Benchmark | Mercury | Qwen1.5-72B |
|---|---|---|
| LMArena Non-English | 1260 | 1135 |
| LMArena Chinese | — | 1186 |
| LMArena French | — | 1159 |
| LMArena German | — | 1084 |
| LMArena Japanese | — | 1061 |
| LMArena Korean | — | 1050 |
| LMArena Russian | — | 1104 |
| LMArena Spanish | — | 1110 |
Instruction Following Mercury leads
Mercury: 65.2 (#224), Qwen1.5-72B: 59.3 (#256)
| Benchmark | Mercury | Qwen1.5-72B |
|---|---|---|
| LMArena Instruction Following | 1239 | 1141 |
Long Context Mercury leads
Mercury: 38.4 (#198), Qwen1.5-72B: 35.1 (#243)
| Benchmark | Mercury | Qwen1.5-72B |
|---|---|---|
| LMArena Longer Query | 1266 | 1157 |
Writing & Preference Mercury leads
Mercury: 46.2 (#221), Qwen1.5-72B: 37.3 (#258)
| Benchmark | Mercury | Qwen1.5-72B |
|---|---|---|
| LMArena Text | 1282 | 1166 |
| LMArena Creative Writing | 1191 | 1137 |
| LMArena Multi-Turn | 1282 | 1160 |
Frequently asked questions
Is Mercury better than Qwen1.5-72B?
Mercury is the stronger model overall, scoring 37.6 to 30.8 on the Noometry Index.
Is Mercury or Qwen1.5-72B better for coding?
Mercury scores higher on coding benchmarks: 38.7 versus 31.9 in the Noometry coding category.
How many benchmarks do Mercury and Qwen1.5-72B share?
8 benchmarks have published results for both models. Mercury has 9 scored results on Noometry and Qwen1.5-72B has 22.