Model comparison
Llama 4 Scout vs Qwen1.5-14B
Qwen1.5-14B is the stronger model overall, scoring 32.7 to 27.7 on the Noometry Index.
Last verified . 16 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 16 benchmarks with published results for both. Llama 4 Scout scores higher in 4 categories and Qwen1.5-14B in 4 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in coding, where Qwen1.5-14B leads 33.1 to 20.2.
Side by side
| Llama 4 Scout | Qwen1.5-14B | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 27.7 | 32.7 |
| Released | 2025-04-05 | 2024-02-04 |
| Weights | Open | Open |
| Context window | 128K | — |
| Max output | 4K | — |
| Input $ / M tokens | $0.10 | — |
| Output $ / M tokens | $0.30 | — |
| Results tracked | 43 | 17 |
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Category by category
Coding Qwen1.5-14B leads
Llama 4 Scout: 20.2 (#339), Qwen1.5-14B: 33.1 (#263)
| Benchmark | Llama 4 Scout | Qwen1.5-14B |
|---|---|---|
| LMArena Coding | 1286 | 1138 |
| SWE-bench Verified (bash only) | 9.1% | — |
| SciCode | 17% | — |
| BigCodeBench Complete | 43.1% | — |
Agentic & Tool Use Not comparable
Llama 4 Scout: 24.6 (#119), Qwen1.5-14B: —
| Benchmark | Llama 4 Scout | Qwen1.5-14B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 28.1% | — |
Reasoning Qwen1.5-14B leads
Llama 4 Scout: 9.1 (#345), Qwen1.5-14B: 21.4 (#223)
| Benchmark | Llama 4 Scout | Qwen1.5-14B |
|---|---|---|
| LMArena Hard Prompts | 1266 | 1113 |
| ARC-AGI-2 | 0% | — |
| Kagi LLM Benchmark | 36.9% | — |
| ARC-AGI-1 | 0.5% | — |
| CritPt | 0% | — |
| DTBench | 57.9% | — |
| LMCA | 12% | — |
| Epoch Capabilities Index | 129.64 | — |
| ForecastBench | 57.5 | — |
Math Qwen1.5-14B leads
Llama 4 Scout: 19.6 (#286), Qwen1.5-14B: 32.4 (#215)
| Benchmark | Llama 4 Scout | Qwen1.5-14B |
|---|---|---|
| LMArena Math | 1287 | 1125 |
| OTIS Mock AIME 2024-2025 | 7.8% | — |
| Omni-MATH | 37.3% | — |
| MATH Level 5 | 62.3% | — |
| FrontierMath (Feb 2025 set) | 0% | — |
Knowledge Llama 4 Scout leads
Llama 4 Scout: 31.9 (#217), Qwen1.5-14B: 29.8 (#232)
| Benchmark | Llama 4 Scout | Qwen1.5-14B |
|---|---|---|
| LMArena Expert | 1235 | 1094 |
| GPQA Diamond | 51.8% | — |
| MMLU-Pro | 74.2% | — |
| Vectara Hallucination Rate | 7.7% | — |
| GPQA (HELM) | 50.7% | — |
| MMLU | — | 68.6% |
Multimodal Not comparable
Llama 4 Scout: 32.2 (#102), Qwen1.5-14B: —
| Benchmark | Llama 4 Scout | Qwen1.5-14B |
|---|---|---|
| LMArena Vision | 1118 | — |
| SpatialViz-Bench | 34.2% | — |
Multilingual Llama 4 Scout leads
Llama 4 Scout: 41.0 (#212), Qwen1.5-14B: 30.7 (#262)
| Benchmark | Llama 4 Scout | Qwen1.5-14B |
|---|---|---|
| LMArena Non-English | 1252 | 1095 |
| LMArena Chinese | 1255 | 1147 |
| LMArena French | 1282 | 1116 |
| LMArena German | 1272 | 1043 |
| LMArena Japanese | 1206 | 1019 |
| LMArena Russian | 1263 | 1046 |
| LMArena Spanish | 1278 | 1085 |
| LMArena Korean | 1207 | — |
Instruction Following Llama 4 Scout leads
Llama 4 Scout: 65.8 (#217), Qwen1.5-14B: 56.8 (#271)
| Benchmark | Llama 4 Scout | Qwen1.5-14B |
|---|---|---|
| LMArena Instruction Following | 1248 | 1102 |
| IFEval | 81.8% | — |
Long Context Qwen1.5-14B leads
Llama 4 Scout: 27.5 (#294), Qwen1.5-14B: 33.7 (#257)
| Benchmark | Llama 4 Scout | Qwen1.5-14B |
|---|---|---|
| LMArena Longer Query | 1265 | 1113 |
| Fiction.LiveBench | 36% | — |
Writing & Preference Llama 4 Scout leads
Llama 4 Scout: 37.0 (#261), Qwen1.5-14B: 33.6 (#276)
| Benchmark | Llama 4 Scout | Qwen1.5-14B |
|---|---|---|
| LMArena Text | 1279 | 1128 |
| LMArena Creative Writing | 1249 | 1091 |
| LMArena Multi-Turn | 1280 | 1110 |
| EQ-Bench Creative Writing | 783 | — |
| WildBench | 78% | — |
Frequently asked questions
Is Llama 4 Scout better than Qwen1.5-14B?
Qwen1.5-14B is the stronger model overall, scoring 32.7 to 27.7 on the Noometry Index.
Is Llama 4 Scout or Qwen1.5-14B better for coding?
Qwen1.5-14B scores higher on coding benchmarks: 33.1 versus 20.2 in the Noometry coding category.
How many benchmarks do Llama 4 Scout and Qwen1.5-14B share?
16 benchmarks have published results for both models. Llama 4 Scout has 43 scored results on Noometry and Qwen1.5-14B has 17.