Model comparison
Grok 4.3 vs Qwen3-1.7B
Grok 4.3 is the stronger model overall, scoring 43.8 to 26.6 on the Noometry Index.
Last verified . 3 shared benchmarks.
Alibaba (Qwen)Summary
- They share 3 benchmarks with published results for both. Grok 4.3 scores higher in 4 categories and Qwen3-1.7B in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Grok 4.3 leads 52.5 to 19.6.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 93.3% for Grok 4.3 and 8.1% for Qwen3-1.7B.
- Qwen3-1.7B has downloadable open weights; the other is API-only.
Side by side
| Grok 4.3 | Qwen3-1.7B | |
|---|---|---|
| Provider | xAI | Alibaba (Qwen) |
| Noometry Index | 43.8 | 26.6 |
| Released | 2026-04-17 | 2025-04-29 |
| Weights | Proprietary | Open |
| Context window | 1M | — |
| Max output | 30K | — |
| Input $ / M tokens | $1.25 | — |
| Output $ / M tokens | $2.50 | — |
| Results tracked | 40 | 4 |
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Category by category
Coding Not comparable
Grok 4.3: 41.6 (#121), Qwen3-1.7B: —
| Benchmark | Grok 4.3 | Qwen3-1.7B |
|---|---|---|
| LMArena WebDev | 1357 | — |
| SciCode | 47.3% | — |
| WeirdML | 49.9% | — |
| LMArena Coding | 1415 | — |
| ALE-Bench | 944.17 | — |
Agentic & Tool Use Grok 4.3 leads
Grok 4.3: 27.7 (#99), Qwen3-1.7B: 24.7 (#115)
| Benchmark | Grok 4.3 | Qwen3-1.7B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 28.4% |
| GDP.pdf | 8% | — |
| LMArena Search | 1165 | — |
| Vending-Bench 2 | 35.26 | — |
Reasoning Grok 4.3 leads
Grok 4.3: 35.9 (#68), Qwen3-1.7B: 19.2 (#267)
| Benchmark | Grok 4.3 | Qwen3-1.7B |
|---|---|---|
| Chess Puzzles | 25% | 0% |
| NYT Connections (extended) | 55.2% | — |
| CritPt | 8% | — |
| LMArena Hard Prompts | 1396 | — |
| DTBench | 90.7% | — |
| LMCA | 38.3% | — |
| Epoch Capabilities Index | 149.16 | — |
| ForecastBench | 60.3 | — |
Math Grok 4.3 leads
Grok 4.3: 46.0 (#74), Qwen3-1.7B: 16.3 (#294)
| Benchmark | Grok 4.3 | Qwen3-1.7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 93.3% | 8.1% |
| FrontierMath (Tiers 1-3) | 42.8% | — |
| FrontierMath Tier 4 | 14.6% | — |
| ProofBench | 11% | — |
| LMArena Math | 1388 | — |
Knowledge Grok 4.3 leads
Grok 4.3: 52.5 (#62), Qwen3-1.7B: 19.6 (#278)
| Benchmark | Grok 4.3 | Qwen3-1.7B |
|---|---|---|
| GPQA Diamond | 88.8% | 38% |
| SimpleQA Verified | 33.2% | — |
| LMArena Expert | 1385 | — |
Multimodal Not comparable
Grok 4.3: 31.6 (#104), Qwen3-1.7B: —
| Benchmark | Grok 4.3 | Qwen3-1.7B |
|---|---|---|
| LMArena Vision | 1229 | — |
| Blueprint-Bench 2 | 0% | — |
Multilingual Not comparable
Grok 4.3: 50.5 (#120), Qwen3-1.7B: —
| Benchmark | Grok 4.3 | Qwen3-1.7B |
|---|---|---|
| LMArena Non-English | 1385 | — |
| LMArena Chinese | 1422 | — |
| LMArena French | 1412 | — |
| LMArena German | 1395 | — |
| LMArena Japanese | 1379 | — |
| LMArena Korean | 1356 | — |
| LMArena Russian | 1399 | — |
| LMArena Spanish | 1398 | — |
Instruction Following Not comparable
Grok 4.3: 72.1 (#140), Qwen3-1.7B: —
| Benchmark | Grok 4.3 | Qwen3-1.7B |
|---|---|---|
| LMArena Instruction Following | 1366 | — |
Long Context Not comparable
Grok 4.3: 42.5 (#123), Qwen3-1.7B: —
| Benchmark | Grok 4.3 | Qwen3-1.7B |
|---|---|---|
| LMArena Longer Query | 1393 | — |
Writing & Preference Not comparable
Grok 4.3: 58.5 (#118), Qwen3-1.7B: —
| Benchmark | Grok 4.3 | Qwen3-1.7B |
|---|---|---|
| LMArena Text | 1397 | — |
| LMArena Creative Writing | 1380 | — |
| EQ-Bench 4 | 1075 | — |
| LMArena Multi-Turn | 1406 | — |
Frequently asked questions
Is Grok 4.3 better than Qwen3-1.7B?
Grok 4.3 is the stronger model overall, scoring 43.8 to 26.6 on the Noometry Index.
How many benchmarks do Grok 4.3 and Qwen3-1.7B share?
3 benchmarks have published results for both models. Grok 4.3 has 40 scored results on Noometry and Qwen3-1.7B has 4.