Model comparison
Gemini 1.5 Flash (May 2024) vs Qwen3.7 Max
Qwen3.7 Max is the stronger model overall, scoring 51.4 to 32.9 on the Noometry Index.
Last verified . 16 shared benchmarks.
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Alibaba (Qwen)Summary
- They share 16 benchmarks with published results for both. Gemini 1.5 Flash (May 2024) scores higher in 1 category and Qwen3.7 Max in 8 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen3.7 Max leads 62.3 to 20.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 16.3% for Gemini 1.5 Flash (May 2024) and 95.6% for Qwen3.7 Max.
Side by side
| Gemini 1.5 Flash (May 2024) | Qwen3.7 Max | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 32.9 | 51.4 |
| Released | 2024-05-14 | 2026-05-19 |
| Weights | Proprietary | Proprietary |
| Context window | — | 1M |
| Max output | — | 131K |
| Input $ / M tokens | — | $2.50 |
| Output $ / M tokens | — | $7.50 |
| Results tracked | 42 | 33 |
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Category by category
Coding Qwen3.7 Max leads
Gemini 1.5 Flash (May 2024): 33.9 (#233), Qwen3.7 Max: 50.2 (#43)
| Benchmark | Gemini 1.5 Flash (May 2024) | Qwen3.7 Max |
|---|---|---|
| LMArena Coding | 1262 | 1498 |
| SWE-bench Verified | — | 77.3% |
| LMArena WebDev | — | 1515 |
| SciCode | — | 48.8% |
| WeirdML | 24.9% | — |
| BigCodeBench Instruct | 43.5% | — |
| BigCodeBench Complete | 55.1% | — |
| ALE-Bench | — | 1,189 |
| HumanEval+ | 75.6% | — |
| MBPP+ | 67.5% | — |
Agentic & Tool Use Gemini 1.5 Flash (May 2024) leads
Gemini 1.5 Flash (May 2024): 26.3 (#97), Qwen3.7 Max: 21.8 (#129)
| Benchmark | Gemini 1.5 Flash (May 2024) | Qwen3.7 Max |
|---|---|---|
| BALROG | 14.6% | — |
| GBAEval | — | 0.4% |
Reasoning Qwen3.7 Max leads
Gemini 1.5 Flash (May 2024): 20.8 (#212), Qwen3.7 Max: 48.4 (#36)
| Benchmark | Gemini 1.5 Flash (May 2024) | Qwen3.7 Max |
|---|---|---|
| LMArena Hard Prompts | 1257 | 1483 |
| DTBench | 53.8% | 92.3% |
| Epoch Capabilities Index | 129.37 | 153.74 |
| SimpleBench | — | 70.4% |
| NYT Connections (extended) | — | 85.1% |
| CritPt | — | 13.4% |
| Chess Puzzles | — | 19% |
| EBR-Bench | — | 9.5% |
| Mystery Game Puzzles | — | 32% |
| LMCA | — | 44% |
| ForecastBench | 53.9 | — |
| PIQA | 87.5% | — |
Math Qwen3.7 Max leads
Gemini 1.5 Flash (May 2024): 20.8 (#274), Qwen3.7 Max: 62.3 (#26)
| Benchmark | Gemini 1.5 Flash (May 2024) | Qwen3.7 Max |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 16.3% | 95.6% |
| LMArena Math | 1269 | 1488 |
| FrontierMath (Tiers 1-3) | — | 64.6% |
| FrontierMath Tier 4 | — | 34.1% |
| ProofBench | — | 26% |
| Omni-MATH | 30.4% | — |
| MATH Level 5 | 61.9% | — |
| FrontierMath (Feb 2025 set) | 0% | — |
| GSM8K | 82.4% | — |
Knowledge Qwen3.7 Max leads
Gemini 1.5 Flash (May 2024): 26.2 (#253), Qwen3.7 Max: 61.7 (#24)
| Benchmark | Gemini 1.5 Flash (May 2024) | Qwen3.7 Max |
|---|---|---|
| GPQA Diamond | 47.3% | 90.9% |
| LMArena Expert | 1233 | 1488 |
| SimpleQA Verified | — | 55.8% |
| MMLU-Pro | 67.8% | — |
| GPQA (HELM) | 43.7% | — |
| BoolQ | 85.8% | — |
| MMLU | 77.9% | — |
Multimodal Not comparable
Gemini 1.5 Flash (May 2024): 35.3 (#76), Qwen3.7 Max: —
| Benchmark | Gemini 1.5 Flash (May 2024) | Qwen3.7 Max |
|---|---|---|
| LMArena Vision | 1141 | — |
| Video-MME | 70.3% | — |
| GeoBench | 76% | — |
Multilingual Qwen3.7 Max leads
Gemini 1.5 Flash (May 2024): 43.1 (#184), Qwen3.7 Max: 57.1 (#13)
| Benchmark | Gemini 1.5 Flash (May 2024) | Qwen3.7 Max |
|---|---|---|
| LMArena Non-English | 1278 | 1475 |
| LMArena Chinese | 1295 | 1533 |
| LMArena Russian | 1288 | 1482 |
| LMArena French | 1257 | — |
| LMArena German | 1262 | — |
| LMArena Japanese | 1252 | — |
| LMArena Korean | 1220 | — |
| LMArena Spanish | 1242 | — |
Instruction Following Qwen3.7 Max leads
Gemini 1.5 Flash (May 2024): 67.0 (#199), Qwen3.7 Max: 76.9 (#34)
| Benchmark | Gemini 1.5 Flash (May 2024) | Qwen3.7 Max |
|---|---|---|
| LMArena Instruction Following | 1258 | 1460 |
| IFEval | 83.1% | — |
Long Context Qwen3.7 Max leads
Gemini 1.5 Flash (May 2024): 39.0 (#182), Qwen3.7 Max: 45.4 (#34)
| Benchmark | Gemini 1.5 Flash (May 2024) | Qwen3.7 Max |
|---|---|---|
| LMArena Longer Query | 1284 | 1484 |
Writing & Preference Qwen3.7 Max leads
Gemini 1.5 Flash (May 2024): 48.9 (#190), Qwen3.7 Max: 65.2 (#52)
| Benchmark | Gemini 1.5 Flash (May 2024) | Qwen3.7 Max |
|---|---|---|
| LMArena Text | 1287 | 1476 |
| LMArena Creative Writing | 1285 | 1450 |
| LMArena Multi-Turn | 1253 | 1482 |
| WildBench | 79.2% | — |
| EQ-Bench 4 | — | 1110 |
Frequently asked questions
Is Gemini 1.5 Flash (May 2024) better than Qwen3.7 Max?
Qwen3.7 Max is the stronger model overall, scoring 51.4 to 32.9 on the Noometry Index.
Is Gemini 1.5 Flash (May 2024) or Qwen3.7 Max better for coding?
Qwen3.7 Max scores higher on coding benchmarks: 50.2 versus 33.9 in the Noometry coding category.
How many benchmarks do Gemini 1.5 Flash (May 2024) and Qwen3.7 Max share?
16 benchmarks have published results for both models. Gemini 1.5 Flash (May 2024) has 42 scored results on Noometry and Qwen3.7 Max has 33.