Model comparison
Gemini 2.0 Flash (Feb 2025) vs Qwen2.5 7B Instruct
Gemini 2.0 Flash (Feb 2025) is the stronger model overall, scoring 35.1 to 29.0 on the Noometry Index.
Last verified . 12 shared benchmarks.
Google
Alibaba (Qwen)Summary
- They share 12 benchmarks with published results for both. Gemini 2.0 Flash (Feb 2025) scores higher in 6 categories and Qwen2.5 7B Instruct in 1 category; 5 gaps are clear of the uncertainty.
- The widest gap is in math, where Gemini 2.0 Flash (Feb 2025) leads 37.9 to 12.6.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 57.8% for Gemini 2.0 Flash (Feb 2025) and 2.5% for Qwen2.5 7B Instruct.
- Qwen2.5 7B Instruct has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.0 Flash (Feb 2025) | Qwen2.5 7B Instruct | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 35.1 | 29.0 |
| Released | 2024-12-06 | 2024-09 |
| Weights | Proprietary | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $0.17 |
| Output $ / M tokens | — | $0.70 |
| Results tracked | 54 | 15 |
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Category by category
Coding Qwen2.5 7B Instruct leads
Gemini 2.0 Flash (Feb 2025): 28.4 (#315), Qwen2.5 7B Instruct: 36.5 (#208)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen2.5 7B Instruct |
|---|---|---|
| BigCodeBench Instruct | 45.9% | 37.6% |
| BigCodeBench Complete | 59.9% | 46.1% |
| SWE-bench Verified (bash only) | 13.5% | — |
| Aider Polyglot | 38.2% | — |
| WeirdML | 25.8% | — |
| LiveBench Coding | 63.4% | — |
| LMArena Coding | 1350 | — |
| CadEval | 30% | — |
Agentic & Tool Use Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 28.1 (#92), Qwen2.5 7B Instruct: 23.8 (#124)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen2.5 7B Instruct |
|---|---|---|
| TheAgentCompany | 11.4% | — |
| BALROG | — | 7.8% |
Reasoning Too close to call
Gemini 2.0 Flash (Feb 2025): 15.2 (#318), Qwen2.5 7B Instruct: 14.8 (#322)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen2.5 7B Instruct |
|---|---|---|
| DTBench | 63.2% | 47.7% |
| Epoch Capabilities Index | 135.36 | 118.51 |
| ARC-AGI-2 | 1.3% | — |
| SimpleBench | 31.1% | — |
| Kagi LLM Benchmark | 37.8% | — |
| Chess Puzzles | — | 0% |
| EnigmaEval | 1.1% | — |
| LiveBench Reasoning | 78.2% | — |
| LMArena Hard Prompts | 1346 | — |
| LiveBench Data Analysis | 69.4% | — |
| LMCA | — | 6.4% |
| LiveBench | 66.9% | — |
Math Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 37.9 (#146), Qwen2.5 7B Instruct: 12.6 (#306)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen2.5 7B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 57.8% | 2.5% |
| Omni-MATH | 45.9% | 29.4% |
| LiveBench Math | 75.8% | — |
| LMArena Math | 1352 | — |
| MATH Level 5 | 82.2% | — |
| FrontierMath (Feb 2025 set) | 1.7% | — |
Knowledge Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 32.0 (#213), Qwen2.5 7B Instruct: 17.0 (#286)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen2.5 7B Instruct |
|---|---|---|
| GPQA Diamond | 64.1% | 35.5% |
| MMLU-Pro | 73.7% | 53.9% |
| GPQA (HELM) | 55.6% | 34.1% |
| MMLU | 79.7% | 72.9% |
| Humanity's Last Exam | 6.6% | — |
| Confabulations | 12.4% | — |
| LMArena Expert | 1339 | — |
Multimodal Not comparable
Gemini 2.0 Flash (Feb 2025): 36.5 (#79), Qwen2.5 7B Instruct: —
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Vision | 1158 | — |
| GeoBench | 77% | — |
Multilingual Not comparable
Gemini 2.0 Flash (Feb 2025): 47.4 (#149), Qwen2.5 7B Instruct: —
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Non-English | 1342 | — |
| LMArena Chinese | 1373 | — |
| LMArena French | 1391 | — |
| LMArena German | 1353 | — |
| LMArena Japanese | 1294 | — |
| LMArena Korean | 1313 | — |
| LMArena Russian | 1351 | — |
| LMArena Spanish | 1363 | — |
Instruction Following Gemini 2.0 Flash (Feb 2025) leads
Gemini 2.0 Flash (Feb 2025): 74.4 (#97), Qwen2.5 7B Instruct: 63.2 (#231)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen2.5 7B Instruct |
|---|---|---|
| IFEval | 84.1% | 74.1% |
| LiveBench Instruction Following | 85.8% | — |
| LMArena Instruction Following | 1336 | — |
Long Context Not comparable
Gemini 2.0 Flash (Feb 2025): 38.1 (#203), Qwen2.5 7B Instruct: —
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen2.5 7B Instruct |
|---|---|---|
| Fiction.LiveBench | 61.1% | — |
| LMArena Longer Query | 1344 | — |
Writing & Preference Too close to call
Gemini 2.0 Flash (Feb 2025): 49.5 (#190), Qwen2.5 7B Instruct: 48.8 (#195)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | Qwen2.5 7B Instruct |
|---|---|---|
| WildBench | 80% | 73.1% |
| LMArena Text | 1354 | — |
| LMArena Creative Writing | 1340 | — |
| Short-Story Creative Writing | 73.8% | — |
| EQ-Bench Creative Writing | 1128 | — |
| LMArena Multi-Turn | 1350 | — |
| LiveBench Language | 51.3% | — |
Frequently asked questions
Is Gemini 2.0 Flash (Feb 2025) better than Qwen2.5 7B Instruct?
Gemini 2.0 Flash (Feb 2025) is the stronger model overall, scoring 35.1 to 29.0 on the Noometry Index.
Is Gemini 2.0 Flash (Feb 2025) or Qwen2.5 7B Instruct better for coding?
Qwen2.5 7B Instruct scores higher on coding benchmarks: 36.5 versus 28.4 in the Noometry coding category.
How many benchmarks do Gemini 2.0 Flash (Feb 2025) and Qwen2.5 7B Instruct share?
12 benchmarks have published results for both models. Gemini 2.0 Flash (Feb 2025) has 54 scored results on Noometry and Qwen2.5 7B Instruct has 15.