Model comparison
Grok 3 vs Qwen1.5 4b Chat
Grok 3 is the stronger model overall, scoring 39.6 to 28.3 on the Noometry Index.
Last verified . 13 shared benchmarks.
Summary
- They share 13 benchmarks with published results for both. Grok 3 scores higher in 7 categories and Qwen1.5 4b Chat in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Grok 3 leads 56.0 to 23.9.
- Qwen1.5 4b Chat has downloadable open weights; the other is API-only.
Side by side
| Grok 3 | Qwen1.5 4b Chat | |
|---|---|---|
| Provider | xAI | Alibaba (Qwen) |
| Noometry Index | 39.6 | 28.3 |
| Released | 2025-04-09 | — |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 40 | 13 |
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Category by category
Coding Grok 3 leads
Grok 3: 41.5 (#113), Qwen1.5 4b Chat: 28.6 (#305)
| Benchmark | Grok 3 | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Coding | 1432 | 999 |
| Aider Polyglot | 53.3% | — |
| WeirdML | 37.2% | — |
Agentic & Tool Use Not comparable
Grok 3: 30.2 (#69), Qwen1.5 4b Chat: —
| Benchmark | Grok 3 | Qwen1.5 4b Chat |
|---|---|---|
| BALROG | 29.5% | — |
Reasoning Qwen1.5 4b Chat leads
Grok 3: 13.8 (#322), Qwen1.5 4b Chat: 17.7 (#277)
| Benchmark | Grok 3 | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Hard Prompts | 1433 | 976 |
| ARC-AGI-2 | 0% | — |
| SimpleBench | 36.1% | — |
| Kagi LLM Benchmark | 61.3% | — |
| ARC-AGI-1 | 5.5% | — |
| Epoch Capabilities Index | 138.34 | — |
Math Grok 3 leads
Grok 3: 36.2 (#122), Qwen1.5 4b Chat: 27.9 (#233)
| Benchmark | Grok 3 | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Math | 1390 | 1026 |
| OTIS Mock AIME 2024-2025 | 55.6% | — |
| Omni-MATH | 46.4% | — |
| MATH Level 5 | 88.7% | — |
| FrontierMath (Feb 2025 set) | 3.8% | — |
| FrontierMath Tier 4 (v1) | 0% | — |
Knowledge Grok 3 leads
Grok 3: 46.0 (#76), Qwen1.5 4b Chat: 26.2 (#252)
| Benchmark | Grok 3 | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Expert | 1420 | 980 |
| GPQA Diamond | 75.8% | — |
| MMLU-Pro | 78.8% | — |
| Confabulations | 14.2% | — |
| Vectara Hallucination Rate | 5.8% | — |
| GPQA (HELM) | 65% | — |
Multilingual Grok 3 leads
Grok 3: 52.5 (#81), Qwen1.5 4b Chat: 24.2 (#285)
| Benchmark | Grok 3 | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Non-English | 1411 | 979 |
| LMArena Chinese | 1448 | 1024 |
| LMArena German | 1431 | 902 |
| LMArena Russian | 1416 | 952 |
| LMArena French | 1460 | — |
| LMArena Japanese | 1389 | — |
| LMArena Korean | 1374 | — |
| LMArena Spanish | 1417 | — |
Instruction Following Grok 3 leads
Grok 3: 75.2 (#69), Qwen1.5 4b Chat: 49.3 (#295)
| Benchmark | Grok 3 | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Instruction Following | 1409 | 979 |
| IFEval | 88.4% | — |
Long Context Grok 3 leads
Grok 3: 38.7 (#187), Qwen1.5 4b Chat: 30.1 (#285)
| Benchmark | Grok 3 | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Longer Query | 1439 | 988 |
| Fiction.LiveBench | 58.3% | — |
Writing & Preference Grok 3 leads
Grok 3: 56.0 (#136), Qwen1.5 4b Chat: 23.9 (#304)
| Benchmark | Grok 3 | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Text | 1426 | 997 |
| LMArena Creative Writing | 1414 | 969 |
| LMArena Multi-Turn | 1424 | 977 |
| Short-Story Creative Writing | 76.4% | — |
| EQ-Bench Creative Writing | 1186 | — |
| WildBench | 84.9% | — |
Frequently asked questions
Is Grok 3 better than Qwen1.5 4b Chat?
Grok 3 is the stronger model overall, scoring 39.6 to 28.3 on the Noometry Index.
Is Grok 3 or Qwen1.5 4b Chat better for coding?
Grok 3 scores higher on coding benchmarks: 41.5 versus 28.6 in the Noometry coding category.
How many benchmarks do Grok 3 and Qwen1.5 4b Chat share?
13 benchmarks have published results for both models. Grok 3 has 40 scored results on Noometry and Qwen1.5 4b Chat has 13.