Model comparison
Gemini 1.5 Pro (May 2024) vs Qwen2.5 7B Instruct
Gemini 1.5 Pro (May 2024) is the stronger model overall, scoring 32.1 to 29.0 on the Noometry Index.
Last verified . 13 shared benchmarks.
Google
Alibaba (Qwen)Summary
- They share 13 benchmarks with published results for both. Gemini 1.5 Pro (May 2024) scores higher in 4 categories and Qwen2.5 7B Instruct in 3 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemini 1.5 Pro (May 2024) leads 25.8 to 12.6.
- The biggest single-benchmark swing is GPQA Diamond: 57.2% for Gemini 1.5 Pro (May 2024) and 35.5% for Qwen2.5 7B Instruct.
- Qwen2.5 7B Instruct has downloadable open weights; the other is API-only.
Side by side
| Gemini 1.5 Pro (May 2024) | Qwen2.5 7B Instruct | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 32.1 | 29.0 |
| Released | 2024-02-15 | 2024-09 |
| Weights | Proprietary | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $0.17 |
| Output $ / M tokens | — | $0.70 |
| Results tracked | 45 | 15 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Qwen2.5 7B Instruct leads
Gemini 1.5 Pro (May 2024): 34.2 (#241), Qwen2.5 7B Instruct: 36.5 (#208)
| Benchmark | Gemini 1.5 Pro (May 2024) | Qwen2.5 7B Instruct |
|---|---|---|
| BigCodeBench Instruct | 43.8% | 37.6% |
| BigCodeBench Complete | 57.5% | 46.1% |
| WeirdML | 22.2% | — |
| LMArena Coding | 1294 | — |
| CadEval | 34% | — |
| HumanEval+ | 79.3% | — |
| MBPP+ | 74.6% | — |
Agentic & Tool Use Qwen2.5 7B Instruct leads
Gemini 1.5 Pro (May 2024): 17.9 (#145), Qwen2.5 7B Instruct: 23.8 (#124)
| Benchmark | Gemini 1.5 Pro (May 2024) | Qwen2.5 7B Instruct |
|---|---|---|
| BALROG | 21% | 7.8% |
| TheAgentCompany | 3.4% | — |
| Cybench | 7.5% | — |
Reasoning Qwen2.5 7B Instruct leads
Gemini 1.5 Pro (May 2024): 12.3 (#338), Qwen2.5 7B Instruct: 14.8 (#322)
| Benchmark | Gemini 1.5 Pro (May 2024) | Qwen2.5 7B Instruct |
|---|---|---|
| DTBench | 59% | 47.7% |
| Epoch Capabilities Index | 131.73 | 118.51 |
| ARC-AGI-2 | 0.8% | — |
| SimpleBench | 27.1% | — |
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | 1296 | — |
| LMCA | — | 6.4% |
| BIG-Bench Hard | 89.2% | — |
| ForecastBench | 58.4 | — |
Math Gemini 1.5 Pro (May 2024) leads
Gemini 1.5 Pro (May 2024): 25.8 (#266), Qwen2.5 7B Instruct: 12.6 (#306)
| Benchmark | Gemini 1.5 Pro (May 2024) | Qwen2.5 7B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 23.1% | 2.5% |
| Omni-MATH | 36.4% | 29.4% |
| LMArena Math | 1315 | — |
| MATH Level 5 | 70.4% | — |
Knowledge Gemini 1.5 Pro (May 2024) leads
Gemini 1.5 Pro (May 2024): 29.4 (#239), Qwen2.5 7B Instruct: 17.0 (#286)
| Benchmark | Gemini 1.5 Pro (May 2024) | Qwen2.5 7B Instruct |
|---|---|---|
| GPQA Diamond | 57.2% | 35.5% |
| MMLU-Pro | 73.7% | 53.9% |
| GPQA (HELM) | 53.4% | 34.1% |
| MMLU | 86.9% | 72.9% |
| Humanity's Last Exam | 4.6% | — |
| Confabulations | 13.5% | — |
| LMArena Expert | 1279 | — |
Multimodal Not comparable
Gemini 1.5 Pro (May 2024): 36.8 (#77), Qwen2.5 7B Instruct: —
| Benchmark | Gemini 1.5 Pro (May 2024) | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Vision | 1161 | — |
| Video-MME | 75% | — |
Multilingual Not comparable
Gemini 1.5 Pro (May 2024): 45.3 (#174), Qwen2.5 7B Instruct: —
| Benchmark | Gemini 1.5 Pro (May 2024) | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Non-English | 1312 | — |
| LMArena Chinese | 1331 | — |
| LMArena French | 1302 | — |
| LMArena German | 1286 | — |
| LMArena Japanese | 1292 | — |
| LMArena Korean | 1298 | — |
| LMArena Russian | 1320 | — |
| LMArena Spanish | 1311 | — |
Instruction Following Gemini 1.5 Pro (May 2024) leads
Gemini 1.5 Pro (May 2024): 68.6 (#185), Qwen2.5 7B Instruct: 63.2 (#231)
| Benchmark | Gemini 1.5 Pro (May 2024) | Qwen2.5 7B Instruct |
|---|---|---|
| IFEval | 83.7% | 74.1% |
| LMArena Instruction Following | 1297 | — |
Long Context Not comparable
Gemini 1.5 Pro (May 2024): 39.8 (#169), Qwen2.5 7B Instruct: —
| Benchmark | Gemini 1.5 Pro (May 2024) | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Longer Query | 1308 | — |
Writing & Preference Gemini 1.5 Pro (May 2024) leads
Gemini 1.5 Pro (May 2024): 52.4 (#172), Qwen2.5 7B Instruct: 48.8 (#195)
| Benchmark | Gemini 1.5 Pro (May 2024) | Qwen2.5 7B Instruct |
|---|---|---|
| WildBench | 81.3% | 73.1% |
| LMArena Text | 1319 | — |
| LMArena Creative Writing | 1333 | — |
| LMArena Multi-Turn | 1296 | — |
Frequently asked questions
Is Gemini 1.5 Pro (May 2024) better than Qwen2.5 7B Instruct?
Gemini 1.5 Pro (May 2024) is the stronger model overall, scoring 32.1 to 29.0 on the Noometry Index.
Is Gemini 1.5 Pro (May 2024) or Qwen2.5 7B Instruct better for coding?
Qwen2.5 7B Instruct scores higher on coding benchmarks: 36.5 versus 34.2 in the Noometry coding category.
How many benchmarks do Gemini 1.5 Pro (May 2024) and Qwen2.5 7B Instruct share?
13 benchmarks have published results for both models. Gemini 1.5 Pro (May 2024) has 45 scored results on Noometry and Qwen2.5 7B Instruct has 15.