Model comparison
Gemini 1.0 Pro vs Qwen-14B
Qwen-14B is the stronger model overall, scoring 31.4 to 27.3 on the Noometry Index.
Last verified . 12 shared benchmarks.
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Alibaba (Qwen)Summary
- They share 12 benchmarks with published results for both. Gemini 1.0 Pro scores higher in 5 categories and Qwen-14B in 2 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen-14B leads 31.2 to 9.3.
- Qwen-14B has downloadable open weights; the other is API-only.
Side by side
| Gemini 1.0 Pro | Qwen-14B | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 27.3 | 31.4 |
| Released | 2023-12-13 | 2023-09-24 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 24 | 18 |
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Category by category
Coding Gemini 1.0 Pro leads
Gemini 1.0 Pro: 32.2 (#275), Qwen-14B: 31.2 (#288)
| Benchmark | Gemini 1.0 Pro | Qwen-14B |
|---|---|---|
| LMArena Coding | 1108 | 1071 |
| HumanEval+ | 55.5% | — |
| MBPP+ | 61.4% | — |
Reasoning Qwen-14B leads
Gemini 1.0 Pro: 17.1 (#296), Qwen-14B: 19.6 (#257)
| Benchmark | Gemini 1.0 Pro | Qwen-14B |
|---|---|---|
| LMArena Hard Prompts | 1109 | 1027 |
| Epoch Capabilities Index | 117.04 | 113.03 |
| DTBench | 45.9% | — |
| BIG-Bench Hard | — | 55% |
| LAMBADA | — | 71.1% |
| PIQA | — | 79.9% |
Math Qwen-14B leads
Gemini 1.0 Pro: 9.3 (#321), Qwen-14B: 31.2 (#227)
| Benchmark | Gemini 1.0 Pro | Qwen-14B |
|---|---|---|
| LMArena Math | 1132 | 1068 |
| OTIS Mock AIME 2024-2025 | 1.1% | — |
| MATH Level 5 | 11.2% | — |
| GSM8K | — | 61.3% |
Knowledge Not comparable
Gemini 1.0 Pro: 15.6 (#291), Qwen-14B: —
| Benchmark | Gemini 1.0 Pro | Qwen-14B |
|---|---|---|
| MMLU | 70% | 66.3% |
| GPQA Diamond | 34% | — |
| LMArena Expert | 1059 | — |
| ARC (AI2) Challenge | — | 84.4% |
| BoolQ | — | 86.2% |
Multilingual Gemini 1.0 Pro leads
Gemini 1.0 Pro: 33.4 (#252), Qwen-14B: 27.5 (#275)
| Benchmark | Gemini 1.0 Pro | Qwen-14B |
|---|---|---|
| LMArena Non-English | 1138 | 1041 |
| LMArena Chinese | 1124 | 1077 |
| LMArena French | 1145 | — |
| LMArena German | 1125 | — |
| LMArena Japanese | 1023 | — |
| LMArena Russian | 1186 | — |
| LMArena Spanish | 1119 | — |
Instruction Following Gemini 1.0 Pro leads
Gemini 1.0 Pro: 57.6 (#267), Qwen-14B: 52.4 (#289)
| Benchmark | Gemini 1.0 Pro | Qwen-14B |
|---|---|---|
| LMArena Instruction Following | 1114 | 1031 |
Long Context Gemini 1.0 Pro leads
Gemini 1.0 Pro: 34.3 (#249), Qwen-14B: 31.3 (#280)
| Benchmark | Gemini 1.0 Pro | Qwen-14B |
|---|---|---|
| LMArena Longer Query | 1132 | 1028 |
Writing & Preference Gemini 1.0 Pro leads
Gemini 1.0 Pro: 36.0 (#264), Qwen-14B: 27.6 (#299)
| Benchmark | Gemini 1.0 Pro | Qwen-14B |
|---|---|---|
| LMArena Text | 1149 | 1051 |
| LMArena Creative Writing | 1131 | 1028 |
| LMArena Multi-Turn | 1139 | 1022 |
Frequently asked questions
Is Gemini 1.0 Pro better than Qwen-14B?
Qwen-14B is the stronger model overall, scoring 31.4 to 27.3 on the Noometry Index.
Is Gemini 1.0 Pro or Qwen-14B better for coding?
Gemini 1.0 Pro scores higher on coding benchmarks: 32.2 versus 31.2 in the Noometry coding category.
How many benchmarks do Gemini 1.0 Pro and Qwen-14B share?
12 benchmarks have published results for both models. Gemini 1.0 Pro has 24 scored results on Noometry and Qwen-14B has 18.