Model comparison
Gemini 1.0 Pro vs Qwen2.5 72B Instruct
Qwen2.5 72B Instruct is the stronger model overall, scoring 31.9 to 27.3 on the Noometry Index.
Last verified . 22 shared benchmarks.
Summary
- They share 22 benchmarks with published results for both. Gemini 1.0 Pro scores higher in 0 categories and Qwen2.5 72B Instruct in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen2.5 72B Instruct leads 27.0 to 15.6.
- The biggest single-benchmark swing is MATH Level 5: 11.2% for Gemini 1.0 Pro and 63.2% for Qwen2.5 72B Instruct.
- Qwen2.5 72B Instruct has downloadable open weights; the other is API-only.
Side by side
| Gemini 1.0 Pro | Qwen2.5 72B Instruct | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 27.3 | 31.9 |
| Released | 2023-12-13 | 2024-09 |
| Weights | Proprietary | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $1.40 |
| Output $ / M tokens | — | $5.60 |
| Results tracked | 24 | 43 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Qwen2.5 72B Instruct leads
Gemini 1.0 Pro: 32.2 (#275), Qwen2.5 72B Instruct: 33.2 (#260)
| Benchmark | Gemini 1.0 Pro | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Coding | 1108 | 1292 |
| WeirdML | — | 16% |
| BigCodeBench Instruct | — | 45.8% |
| BigCodeBench Complete | — | 55.9% |
| HumanEval+ | 55.5% | — |
| MBPP+ | 61.4% | — |
Agentic & Tool Use Not comparable
Gemini 1.0 Pro: —, Qwen2.5 72B Instruct: 22.1 (#133)
| Benchmark | Gemini 1.0 Pro | Qwen2.5 72B Instruct |
|---|---|---|
| TheAgentCompany | — | 5.7% |
| BALROG | — | 16.2% |
| METR Time Horizons | — | 35.8% |
Reasoning Qwen2.5 72B Instruct leads
Gemini 1.0 Pro: 17.1 (#296), Qwen2.5 72B Instruct: 22.3 (#199)
| Benchmark | Gemini 1.0 Pro | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1109 | 1271 |
| DTBench | 45.9% | 62.9% |
| Epoch Capabilities Index | 117.04 | 129 |
| LMCA | — | 13.4% |
| BIG-Bench Hard | — | 79.8% |
| ForecastBench | — | 57.5 |
| HellaSwag | — | 84.8% |
| PIQA | — | 82.6% |
| WinoGrande | — | 82.3% |
Math Qwen2.5 72B Instruct leads
Gemini 1.0 Pro: 9.3 (#321), Qwen2.5 72B Instruct: 19.3 (#287)
| Benchmark | Gemini 1.0 Pro | Qwen2.5 72B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.1% | 8.1% |
| LMArena Math | 1132 | 1283 |
| MATH Level 5 | 11.2% | 63.2% |
| Omni-MATH | — | 33% |
Knowledge Qwen2.5 72B Instruct leads
Gemini 1.0 Pro: 15.6 (#291), Qwen2.5 72B Instruct: 27.0 (#253)
| Benchmark | Gemini 1.0 Pro | Qwen2.5 72B Instruct |
|---|---|---|
| GPQA Diamond | 34% | 49.1% |
| LMArena Expert | 1059 | 1245 |
| MMLU | 70% | 85.3% |
| MMLU-Pro | — | 63.1% |
| Confabulations | — | 19.1% |
| GPQA (HELM) | — | 42.6% |
| ARC (AI2) Challenge | — | 94.5% |
| TriviaQA | — | 71.9% |
Multilingual Qwen2.5 72B Instruct leads
Gemini 1.0 Pro: 33.4 (#252), Qwen2.5 72B Instruct: 41.0 (#213)
| Benchmark | Gemini 1.0 Pro | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Non-English | 1138 | 1252 |
| LMArena Chinese | 1124 | 1272 |
| LMArena French | 1145 | 1280 |
| LMArena German | 1125 | 1234 |
| LMArena Japanese | 1023 | 1180 |
| LMArena Russian | 1186 | 1264 |
| LMArena Spanish | 1119 | 1256 |
| LMArena Korean | — | 1188 |
Instruction Following Qwen2.5 72B Instruct leads
Gemini 1.0 Pro: 57.6 (#267), Qwen2.5 72B Instruct: 65.5 (#221)
| Benchmark | Gemini 1.0 Pro | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Instruction Following | 1114 | 1254 |
| IFEval | — | 80.6% |
Long Context Qwen2.5 72B Instruct leads
Gemini 1.0 Pro: 34.3 (#249), Qwen2.5 72B Instruct: 38.9 (#188)
| Benchmark | Gemini 1.0 Pro | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Longer Query | 1132 | 1282 |
Writing & Preference Qwen2.5 72B Instruct leads
Gemini 1.0 Pro: 36.0 (#264), Qwen2.5 72B Instruct: 46.7 (#215)
| Benchmark | Gemini 1.0 Pro | Qwen2.5 72B Instruct |
|---|---|---|
| LMArena Text | 1149 | 1269 |
| LMArena Creative Writing | 1131 | 1221 |
| LMArena Multi-Turn | 1139 | 1272 |
| WildBench | — | 80.2% |
Frequently asked questions
Is Gemini 1.0 Pro better than Qwen2.5 72B Instruct?
Qwen2.5 72B Instruct is the stronger model overall, scoring 31.9 to 27.3 on the Noometry Index.
Is Gemini 1.0 Pro or Qwen2.5 72B Instruct better for coding?
Qwen2.5 72B Instruct scores higher on coding benchmarks: 33.2 versus 32.2 in the Noometry coding category.
How many benchmarks do Gemini 1.0 Pro and Qwen2.5 72B Instruct share?
22 benchmarks have published results for both models. Gemini 1.0 Pro has 24 scored results on Noometry and Qwen2.5 72B Instruct has 43.