Model comparison
Grok 4.3 vs Qwen-14B
Grok 4.3 is the stronger model overall, scoring 43.8 to 31.4 on the Noometry Index.
Last verified . 11 shared benchmarks.
Alibaba (Qwen)Summary
- They share 11 benchmarks with published results for both. Grok 4.3 scores higher in 7 categories and Qwen-14B in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Grok 4.3 leads 58.5 to 27.6.
- Qwen-14B has downloadable open weights; the other is API-only.
Side by side
| Grok 4.3 | Qwen-14B | |
|---|---|---|
| Provider | xAI | Alibaba (Qwen) |
| Noometry Index | 43.8 | 31.4 |
| Released | 2026-04-17 | 2023-09-24 |
| Weights | Proprietary | Open |
| Context window | 1M | — |
| Max output | 30K | — |
| Input $ / M tokens | $1.25 | — |
| Output $ / M tokens | $2.50 | — |
| Results tracked | 40 | 18 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Grok 4.3 leads
Grok 4.3: 41.6 (#121), Qwen-14B: 31.2 (#288)
| Benchmark | Grok 4.3 | Qwen-14B |
|---|---|---|
| LMArena Coding | 1415 | 1071 |
| LMArena WebDev | 1357 | — |
| SciCode | 47.3% | — |
| WeirdML | 49.9% | — |
| ALE-Bench | 944.17 | — |
Agentic & Tool Use Not comparable
Grok 4.3: 27.7 (#99), Qwen-14B: —
| Benchmark | Grok 4.3 | Qwen-14B |
|---|---|---|
| GDP.pdf | 8% | — |
| LMArena Search | 1165 | — |
| Vending-Bench 2 | 35.26 | — |
Reasoning Grok 4.3 leads
Grok 4.3: 35.9 (#68), Qwen-14B: 19.6 (#257)
| Benchmark | Grok 4.3 | Qwen-14B |
|---|---|---|
| LMArena Hard Prompts | 1396 | 1027 |
| Epoch Capabilities Index | 149.16 | 113.03 |
| NYT Connections (extended) | 55.2% | — |
| CritPt | 8% | — |
| Chess Puzzles | 25% | — |
| DTBench | 90.7% | — |
| LMCA | 38.3% | — |
| BIG-Bench Hard | — | 55% |
| ForecastBench | 60.3 | — |
| LAMBADA | — | 71.1% |
| PIQA | — | 79.9% |
Math Grok 4.3 leads
Grok 4.3: 46.0 (#74), Qwen-14B: 31.2 (#227)
| Benchmark | Grok 4.3 | Qwen-14B |
|---|---|---|
| LMArena Math | 1388 | 1068 |
| FrontierMath (Tiers 1-3) | 42.8% | — |
| FrontierMath Tier 4 | 14.6% | — |
| OTIS Mock AIME 2024-2025 | 93.3% | — |
| ProofBench | 11% | — |
| GSM8K | — | 61.3% |
Knowledge Not comparable
Grok 4.3: 52.5 (#62), Qwen-14B: —
| Benchmark | Grok 4.3 | Qwen-14B |
|---|---|---|
| GPQA Diamond | 88.8% | — |
| SimpleQA Verified | 33.2% | — |
| LMArena Expert | 1385 | — |
| ARC (AI2) Challenge | — | 84.4% |
| BoolQ | — | 86.2% |
| MMLU | — | 66.3% |
Multimodal Not comparable
Grok 4.3: 31.6 (#104), Qwen-14B: —
| Benchmark | Grok 4.3 | Qwen-14B |
|---|---|---|
| LMArena Vision | 1229 | — |
| Blueprint-Bench 2 | 0% | — |
Multilingual Grok 4.3 leads
Grok 4.3: 50.5 (#120), Qwen-14B: 27.5 (#275)
| Benchmark | Grok 4.3 | Qwen-14B |
|---|---|---|
| LMArena Non-English | 1385 | 1041 |
| LMArena Chinese | 1422 | 1077 |
| LMArena French | 1412 | — |
| LMArena German | 1395 | — |
| LMArena Japanese | 1379 | — |
| LMArena Korean | 1356 | — |
| LMArena Russian | 1399 | — |
| LMArena Spanish | 1398 | — |
Instruction Following Grok 4.3 leads
Grok 4.3: 72.1 (#140), Qwen-14B: 52.4 (#289)
| Benchmark | Grok 4.3 | Qwen-14B |
|---|---|---|
| LMArena Instruction Following | 1366 | 1031 |
Long Context Grok 4.3 leads
Grok 4.3: 42.5 (#123), Qwen-14B: 31.3 (#280)
| Benchmark | Grok 4.3 | Qwen-14B |
|---|---|---|
| LMArena Longer Query | 1393 | 1028 |
Writing & Preference Grok 4.3 leads
Grok 4.3: 58.5 (#118), Qwen-14B: 27.6 (#299)
| Benchmark | Grok 4.3 | Qwen-14B |
|---|---|---|
| LMArena Text | 1397 | 1051 |
| LMArena Creative Writing | 1380 | 1028 |
| LMArena Multi-Turn | 1406 | 1022 |
| EQ-Bench 4 | 1075 | — |
Frequently asked questions
Is Grok 4.3 better than Qwen-14B?
Grok 4.3 is the stronger model overall, scoring 43.8 to 31.4 on the Noometry Index.
Is Grok 4.3 or Qwen-14B better for coding?
Grok 4.3 scores higher on coding benchmarks: 41.6 versus 31.2 in the Noometry coding category.
How many benchmarks do Grok 4.3 and Qwen-14B share?
11 benchmarks have published results for both models. Grok 4.3 has 40 scored results on Noometry and Qwen-14B has 18.