Model comparison
Grok 4.3 vs Qwen3 32B
Grok 4.3 is the stronger model overall, scoring 43.6 to 38.8 on the Noometry Index.
Last verified . 21 shared benchmarks.
Summary
- They share 21 benchmarks with published results for both. Grok 4.3 scores higher in 7 categories and Qwen3 32B in 2 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok 4.3 leads 34.9 to 19.6.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 93.3% for Grok 4.3 and 66.9% for Qwen3 32B.
- Qwen3 32B is cheaper at $0.70 / $2.80 per million input/output tokens, against $1.25 / $2.50 for Grok 4.3.
- Grok 4.3 accepts more context: 1M tokens versus 131K.
- Qwen3 32B has downloadable open weights; the other is API-only.
Side by side
| Grok 4.3 | Qwen3 32B | |
|---|---|---|
| Provider | xAI | Alibaba (Qwen) |
| Noometry Index | 43.6 | 38.8 |
| Released | 2026-04-17 | 2025-04 |
| Weights | Proprietary | Open |
| Context window | 1M | 131K |
| Max output | 30K | 16K |
| Input $ / M tokens | $1.25 | $0.70 |
| Output $ / M tokens | $2.50 | $2.80 |
| Results tracked | 40 | 26 |
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Category by category
Coding Grok 4.3 leads
Grok 4.3: 41.3 (#117), Qwen3 32B: 37.3 (#184)
| Benchmark | Grok 4.3 | Qwen3 32B |
|---|---|---|
| SciCode | 47.3% | 35.4% |
| LMArena Coding | 1415 | 1358 |
| Aider Polyglot | — | 40% |
| LMArena WebDev | 1357 | — |
| WeirdML | 49.9% | — |
| ALE-Bench | 944.17 | — |
Agentic & Tool Use Qwen3 32B leads
Grok 4.3: 27.6 (#93), Qwen3 32B: 32.3 (#58)
| Benchmark | Grok 4.3 | Qwen3 32B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 48.7% |
| GDP.pdf | 8% | — |
| LMArena Search | 1165 | — |
| Vending-Bench 2 | 35.26 | — |
Reasoning Grok 4.3 leads
Grok 4.3: 34.9 (#60), Qwen3 32B: 19.6 (#233)
| Benchmark | Grok 4.3 | Qwen3 32B |
|---|---|---|
| CritPt | 8% | 0.3% |
| Chess Puzzles | 25% | 5% |
| LMArena Hard Prompts | 1397 | 1335 |
| DTBench | 90.7% | 67.5% |
| LMCA | 38.3% | 17.3% |
| Epoch Capabilities Index | 149.13 | 138.51 |
| Kagi LLM Benchmark | — | 54.9% |
| NYT Connections (extended) | 55.2% | — |
| ForecastBench | 60.3 | — |
Math Grok 4.3 leads
Grok 4.3: 45.8 (#60), Qwen3 32B: 37.9 (#89)
| Benchmark | Grok 4.3 | Qwen3 32B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 93.3% | 66.9% |
| LMArena Math | 1388 | 1399 |
| FrontierMath (Tiers 1-3) | 42.8% | — |
| FrontierMath Tier 4 | 14.6% | — |
| ProofBench | 11% | — |
Knowledge Grok 4.3 leads
Grok 4.3: 52.5 (#57), Qwen3 32B: 40.0 (#112)
| Benchmark | Grok 4.3 | Qwen3 32B |
|---|---|---|
| GPQA Diamond | 88.8% | 65.7% |
| LMArena Expert | 1385 | 1362 |
| SimpleQA Verified | 33.2% | — |
| Vectara Hallucination Rate | — | 5.9% |
Multimodal Not comparable
Grok 4.3: 31.6 (#96), Qwen3 32B: —
| Benchmark | Grok 4.3 | Qwen3 32B |
|---|---|---|
| LMArena Vision | 1231 | — |
| Blueprint-Bench 2 | 0% | — |
Multilingual Grok 4.3 leads
Grok 4.3: 50.7 (#114), Qwen3 32B: 45.8 (#162)
| Benchmark | Grok 4.3 | Qwen3 32B |
|---|---|---|
| LMArena Non-English | 1385 | 1317 |
| LMArena Chinese | 1423 | 1357 |
| LMArena German | 1395 | 1341 |
| LMArena Russian | 1399 | 1311 |
| LMArena French | 1412 | — |
| LMArena Japanese | 1379 | — |
| LMArena Korean | 1357 | — |
| LMArena Spanish | 1402 | — |
Instruction Following Grok 4.3 leads
Grok 4.3: 72.3 (#135), Qwen3 32B: 69.1 (#174)
| Benchmark | Grok 4.3 | Qwen3 32B |
|---|---|---|
| LMArena Instruction Following | 1366 | 1305 |
Long Context Qwen3 32B leads
Grok 4.3: 42.5 (#118), Qwen3 32B: 43.7 (#83)
| Benchmark | Grok 4.3 | Qwen3 32B |
|---|---|---|
| LMArena Longer Query | 1393 | 1327 |
| Fiction.LiveBench | — | 74.2% |
Writing & Preference Grok 4.3 leads
Grok 4.3: 58.6 (#112), Qwen3 32B: 53.1 (#158)
| Benchmark | Grok 4.3 | Qwen3 32B |
|---|---|---|
| LMArena Text | 1397 | 1340 |
| LMArena Creative Writing | 1380 | 1297 |
| LMArena Multi-Turn | 1406 | 1331 |
| EQ-Bench 4 | 1075 | — |
Frequently asked questions
Is Grok 4.3 better than Qwen3 32B?
Grok 4.3 is the stronger model overall, scoring 43.6 to 38.8 on the Noometry Index.
Which is cheaper, Grok 4.3 or Qwen3 32B?
Qwen3 32B is cheaper. It lists at $0.70 per million input tokens and $2.80 per million output tokens; Grok 4.3 lists at $1.25 and $2.50.
Is Grok 4.3 or Qwen3 32B better for coding?
Grok 4.3 scores higher on coding benchmarks: 41.3 versus 37.3 in the Noometry coding category.
Which has the bigger context window?
Grok 4.3 does, with 1M tokens against 131K.
How many benchmarks do Grok 4.3 and Qwen3 32B share?
21 benchmarks have published results for both models. Grok 4.3 has 40 scored results on Noometry and Qwen3 32B has 26.