Model comparison
Grok 4.3 vs Qwen2.5-VL 72B Instruct
Grok 4.3 is the stronger model overall, scoring 43.8 to 29.9 on the Noometry Index.
Last verified . 1 shared benchmarks.
Summary
- They share 1 benchmark with published results for both. Grok 4.3 scores higher in 2 categories and Qwen2.5-VL 72B Instruct in 1 category; 3 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok 4.3 leads 35.9 to 20.7.
- Grok 4.3 is cheaper at $1.25 / $2.50 per million input/output tokens, against $2.80 / $8.40 for Qwen2.5-VL 72B Instruct.
- Grok 4.3 accepts more context: 1M tokens versus 131K.
- Qwen2.5-VL 72B Instruct has downloadable open weights; the other is API-only.
Side by side
| Grok 4.3 | Qwen2.5-VL 72B Instruct | |
|---|---|---|
| Provider | xAI | Alibaba (Qwen) |
| Noometry Index | 43.8 | 29.9 |
| Released | 2026-04-17 | 2024-09 |
| Weights | Proprietary | Open |
| Context window | 1M | 131K |
| Max output | 30K | 8K |
| Input $ / M tokens | $1.25 | $2.80 |
| Output $ / M tokens | $2.50 | $8.40 |
| Results tracked | 40 | 6 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Not comparable
Grok 4.3: 41.6 (#121), Qwen2.5-VL 72B Instruct: —
| Benchmark | Grok 4.3 | Qwen2.5-VL 72B Instruct |
|---|---|---|
| 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), Qwen2.5-VL 72B Instruct: 18.6 (#144)
| Benchmark | Grok 4.3 | Qwen2.5-VL 72B Instruct |
|---|---|---|
| OSWorld | — | 5% |
| GDP.pdf | 8% | — |
| LMArena Search | 1165 | — |
| Vending-Bench 2 | 35.26 | — |
Reasoning Grok 4.3 leads
Grok 4.3: 35.9 (#68), Qwen2.5-VL 72B Instruct: 20.7 (#233)
| Benchmark | Grok 4.3 | Qwen2.5-VL 72B Instruct |
|---|---|---|
| Kagi LLM Benchmark | — | 36% |
| NYT Connections (extended) | 55.2% | — |
| CritPt | 8% | — |
| Chess Puzzles | 25% | — |
| LMArena Hard Prompts | 1396 | — |
| DTBench | 90.7% | — |
| LMCA | 38.3% | — |
| Epoch Capabilities Index | 149.16 | — |
| ForecastBench | 60.3 | — |
Math Not comparable
Grok 4.3: 46.0 (#74), Qwen2.5-VL 72B Instruct: —
| Benchmark | Grok 4.3 | Qwen2.5-VL 72B Instruct |
|---|---|---|
| FrontierMath (Tiers 1-3) | 42.8% | — |
| FrontierMath Tier 4 | 14.6% | — |
| OTIS Mock AIME 2024-2025 | 93.3% | — |
| ProofBench | 11% | — |
| LMArena Math | 1388 | — |
Knowledge Not comparable
Grok 4.3: 52.5 (#62), Qwen2.5-VL 72B Instruct: —
| Benchmark | Grok 4.3 | Qwen2.5-VL 72B Instruct |
|---|---|---|
| GPQA Diamond | 88.8% | — |
| SimpleQA Verified | 33.2% | — |
| LMArena Expert | 1385 | — |
Multimodal Qwen2.5-VL 72B Instruct leads
Grok 4.3: 31.6 (#104), Qwen2.5-VL 72B Instruct: 33.5 (#97)
| Benchmark | Grok 4.3 | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Vision | 1229 | 1107 |
| Video-MME | — | 73.5% |
| GeoBench | — | 62% |
| Blueprint-Bench 2 | 0% | — |
| SpatialViz-Bench | — | 33.3% |
Multilingual Not comparable
Grok 4.3: 50.5 (#120), Qwen2.5-VL 72B Instruct: —
| Benchmark | Grok 4.3 | Qwen2.5-VL 72B Instruct |
|---|---|---|
| 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), Qwen2.5-VL 72B Instruct: —
| Benchmark | Grok 4.3 | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Instruction Following | 1366 | — |
Long Context Not comparable
Grok 4.3: 42.5 (#123), Qwen2.5-VL 72B Instruct: —
| Benchmark | Grok 4.3 | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Longer Query | 1393 | — |
Writing & Preference Not comparable
Grok 4.3: 58.5 (#118), Qwen2.5-VL 72B Instruct: —
| Benchmark | Grok 4.3 | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Text | 1397 | — |
| LMArena Creative Writing | 1380 | — |
| EQ-Bench 4 | 1075 | — |
| LMArena Multi-Turn | 1406 | — |
Frequently asked questions
Is Grok 4.3 better than Qwen2.5-VL 72B Instruct?
Grok 4.3 is the stronger model overall, scoring 43.8 to 29.9 on the Noometry Index.
Which is cheaper, Grok 4.3 or Qwen2.5-VL 72B Instruct?
Grok 4.3 is cheaper. It lists at $1.25 per million input tokens and $2.50 per million output tokens; Qwen2.5-VL 72B Instruct lists at $2.80 and $8.40.
Which has the bigger context window?
Grok 4.3 does, with 1M tokens against 131K.
How many benchmarks do Grok 4.3 and Qwen2.5-VL 72B Instruct share?
1 benchmark has published results for both models. Grok 4.3 has 40 scored results on Noometry and Qwen2.5-VL 72B Instruct has 6.