Model comparison
Qwen3 14B vs Qwen3.7 Flash
Qwen3.7 Flash is the stronger model overall, scoring 39.9 to 35.5 on the Noometry Index.
Last verified . 4 shared benchmarks.
Alibaba (Qwen)Summary
- They share 4 benchmarks with published results for both. Qwen3 14B scores higher in 1 category and Qwen3.7 Flash in 2 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Qwen3.7 Flash leads 28.2 to 18.5.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 66.4% for Qwen3 14B and 86.7% for Qwen3.7 Flash.
- Qwen3.7 Flash is cheaper at $0.03 / $0.13 per million input/output tokens, against $0.35 / $1.40 for Qwen3 14B.
- Qwen3.7 Flash accepts more context: 1M tokens versus 131K.
- Qwen3 14B has downloadable open weights; the other is API-only.
Side by side
| Qwen3 14B | Qwen3.7 Flash | |
|---|---|---|
| Provider | Alibaba (Qwen) | Alibaba (Qwen) |
| Noometry Index | 35.5 | 39.9 |
| Released | 2025-04 | 2026-07-15 |
| Weights | Open | Proprietary |
| Context window | 131K | 1M |
| Max output | 8K | 131K |
| Input $ / M tokens | $0.35 | $0.03 |
| Output $ / M tokens | $1.40 | $0.13 |
| Results tracked | 12 | 7 |
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Category by category
Coding Not comparable
Qwen3 14B: 37.3 (#195), Qwen3.7 Flash: —
| Benchmark | Qwen3 14B | Qwen3.7 Flash |
|---|---|---|
| SciCode | 31.6% | — |
Agentic & Tool Use Not comparable
Qwen3 14B: 29.6 (#83), Qwen3.7 Flash: —
| Benchmark | Qwen3 14B | Qwen3.7 Flash |
|---|---|---|
| Berkeley Function Calling Leaderboard | 41% | — |
Reasoning Qwen3.7 Flash leads
Qwen3 14B: 18.5 (#280), Qwen3.7 Flash: 28.2 (#108)
| Benchmark | Qwen3 14B | Qwen3.7 Flash |
|---|---|---|
| Chess Puzzles | 4% | 23% |
| Epoch Capabilities Index | 138.23 | 144.64 |
| Kagi LLM Benchmark | 49.1% | — |
| NYT Connections (extended) | — | 43.8% |
| CritPt | 0% | — |
| Mystery Game Puzzles | — | 15% |
| DTBench | 64% | — |
| LMCA | 18.2% | — |
Math Too close to call
Qwen3 14B: 38.6 (#133), Qwen3.7 Flash: 38.3 (#140)
| Benchmark | Qwen3 14B | Qwen3.7 Flash |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 66.4% | 86.7% |
| FrontierMath (Tiers 1-3) | — | 19.3% |
Knowledge Qwen3.7 Flash leads
Qwen3 14B: 39.3 (#134), Qwen3.7 Flash: 48.9 (#75)
| Benchmark | Qwen3 14B | Qwen3.7 Flash |
|---|---|---|
| GPQA Diamond | 63.8% | 82.3% |
| Vectara Hallucination Rate | 5.4% | — |
Long Context Not comparable
Qwen3 14B: 38.1 (#204), Qwen3.7 Flash: —
| Benchmark | Qwen3 14B | Qwen3.7 Flash |
|---|---|---|
| Fiction.LiveBench | 62.5% | — |
Frequently asked questions
Is Qwen3 14B better than Qwen3.7 Flash?
Qwen3.7 Flash is the stronger model overall, scoring 39.9 to 35.5 on the Noometry Index.
Which is cheaper, Qwen3 14B or Qwen3.7 Flash?
Qwen3.7 Flash is cheaper. It lists at $0.03 per million input tokens and $0.13 per million output tokens; Qwen3 14B lists at $0.35 and $1.40.
Which has the bigger context window?
Qwen3.7 Flash does, with 1M tokens against 131K.
How many benchmarks do Qwen3 14B and Qwen3.7 Flash share?
4 benchmarks have published results for both models. Qwen3 14B has 12 scored results on Noometry and Qwen3.7 Flash has 7.