Model comparison
Gemini 3.7 Flash vs Qwen-14B
Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 31.4 on the Noometry Index.
Last verified . 11 shared benchmarks.
Summary
- They share 11 benchmarks with published results for both. Gemini 3.7 Flash scores higher in 7 categories and Qwen-14B in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.7 Flash leads 70.0 to 19.6.
- Qwen-14B has downloadable open weights; the other is API-only.
Side by side
| Gemini 3.7 Flash | Qwen-14B | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 59.8 | 31.4 |
| Released | 2026-08-13 | 2023-09-24 |
| Weights | Proprietary | Open |
| Context window | 1.05M | — |
| Max output | 66K | — |
| Input $ / M tokens | $0.75 | — |
| Output $ / M tokens | $3.75 | — |
| Results tracked | 44 | 18 |
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Category by category
Coding Gemini 3.7 Flash leads
Gemini 3.7 Flash: 56.2 (#22), Qwen-14B: 31.2 (#288)
| Benchmark | Gemini 3.7 Flash | Qwen-14B |
|---|---|---|
| LMArena Coding | 1497 | 1071 |
| DeepSWE | 65.5% | — |
| FrontierCode | 43.6% | — |
| LMArena WebDev | 1592 | — |
| FrontierSWE | 20.3% | — |
| SciCode | 59.8% | — |
| ALE-Bench | 904.3 | — |
Agentic & Tool Use Not comparable
Gemini 3.7 Flash: 42.1 (#19), Qwen-14B: —
| Benchmark | Gemini 3.7 Flash | Qwen-14B |
|---|---|---|
| APEX-Agents | 67.8% | — |
| Remote Labor Index | 5% | — |
| GDP.pdf | 23.8% | — |
Reasoning Gemini 3.7 Flash leads
Gemini 3.7 Flash: 70.0 (#15), Qwen-14B: 19.6 (#257)
| Benchmark | Gemini 3.7 Flash | Qwen-14B |
|---|---|---|
| LMArena Hard Prompts | 1494 | 1027 |
| Epoch Capabilities Index | 157.27 | 113.03 |
| ARC-AGI-2 | 84.6% | — |
| NYT Connections (extended) | 94% | — |
| ARC-AGI-1 | 95.5% | — |
| CritPt | 14.3% | — |
| Chess Puzzles | 47% | — |
| Mystery Game Puzzles | 37% | — |
| DTBench | 96.8% | — |
| LMCA | 50.4% | — |
| BIG-Bench Hard | — | 55% |
| LAMBADA | — | 71.1% |
| PIQA | — | 79.9% |
Math Gemini 3.7 Flash leads
Gemini 3.7 Flash: 69.6 (#23), Qwen-14B: 31.2 (#227)
| Benchmark | Gemini 3.7 Flash | Qwen-14B |
|---|---|---|
| LMArena Math | 1507 | 1068 |
| FrontierMath (Tiers 1-3) | 71.6% | — |
| FrontierMath Tier 4 | 36.6% | — |
| OTIS Mock AIME 2024-2025 | 97.2% | — |
| ProofBench | 58% | — |
| GSM8K | — | 61.3% |
Knowledge Not comparable
Gemini 3.7 Flash: 69.7 (#5), Qwen-14B: —
| Benchmark | Gemini 3.7 Flash | Qwen-14B |
|---|---|---|
| GPQA Diamond | 94.8% | — |
| SimpleQA Verified | 69.2% | — |
| LMArena Expert | 1508 | — |
| ARC (AI2) Challenge | — | 84.4% |
| BoolQ | — | 86.2% |
| MMLU | — | 66.3% |
Multimodal Not comparable
Gemini 3.7 Flash: 37.3 (#73), Qwen-14B: —
| Benchmark | Gemini 3.7 Flash | Qwen-14B |
|---|---|---|
| LMArena Vision | 1316 | — |
| Furniture Assembly | 26.7% | — |
Multilingual Gemini 3.7 Flash leads
Gemini 3.7 Flash: 57.6 (#7), Qwen-14B: 27.5 (#275)
| Benchmark | Gemini 3.7 Flash | Qwen-14B |
|---|---|---|
| LMArena Non-English | 1484 | 1041 |
| LMArena Chinese | 1548 | 1077 |
| LMArena French | 1505 | — |
| LMArena German | 1498 | — |
| LMArena Japanese | 1512 | — |
| LMArena Korean | 1483 | — |
| LMArena Russian | 1516 | — |
| LMArena Spanish | 1503 | — |
Instruction Following Gemini 3.7 Flash leads
Gemini 3.7 Flash: 77.7 (#15), Qwen-14B: 52.4 (#289)
| Benchmark | Gemini 3.7 Flash | Qwen-14B |
|---|---|---|
| LMArena Instruction Following | 1483 | 1031 |
Long Context Gemini 3.7 Flash leads
Gemini 3.7 Flash: 45.7 (#30), Qwen-14B: 31.3 (#280)
| Benchmark | Gemini 3.7 Flash | Qwen-14B |
|---|---|---|
| LMArena Longer Query | 1492 | 1028 |
Writing & Preference Gemini 3.7 Flash leads
Gemini 3.7 Flash: 71.2 (#20), Qwen-14B: 27.6 (#299)
| Benchmark | Gemini 3.7 Flash | Qwen-14B |
|---|---|---|
| LMArena Text | 1486 | 1051 |
| LMArena Creative Writing | 1490 | 1028 |
| LMArena Multi-Turn | 1489 | 1022 |
| EQ-Bench Creative Writing | 1723 | — |
Frequently asked questions
Is Gemini 3.7 Flash better than Qwen-14B?
Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 31.4 on the Noometry Index.
Is Gemini 3.7 Flash or Qwen-14B better for coding?
Gemini 3.7 Flash scores higher on coding benchmarks: 56.2 versus 31.2 in the Noometry coding category.
How many benchmarks do Gemini 3.7 Flash and Qwen-14B share?
11 benchmarks have published results for both models. Gemini 3.7 Flash has 44 scored results on Noometry and Qwen-14B has 18.