Model comparison
Grok 4.5 vs Qwen Max
Grok 4.5 is the stronger model overall, scoring 55.0 to 34.7 on the Noometry Index.
Last verified . 19 shared benchmarks.
Alibaba (Qwen)Summary
- They share 19 benchmarks with published results for both. Grok 4.5 scores higher in 8 categories and Qwen Max in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Grok 4.5 leads 60.9 to 22.3.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 97.8% for Grok 4.5 and 16.1% for Qwen Max.
- Qwen Max is cheaper at $1.60 / $6.40 per million input/output tokens, against $2 / $6 for Grok 4.5.
- Grok 4.5 accepts more context: 500K tokens versus 33K.
Side by side
| Grok 4.5 | Qwen Max | |
|---|---|---|
| Provider | xAI | Alibaba (Qwen) |
| Noometry Index | 55.0 | 34.7 |
| Released | 2026-07-08 | 2024-04-03 |
| Weights | Proprietary | Proprietary |
| Context window | 500K | 33K |
| Max output | 500K | 8K |
| Input $ / M tokens | $2 | $1.60 |
| Output $ / M tokens | $6 | $6.40 |
| Results tracked | 52 | 23 |
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Category by category
Coding Grok 4.5 leads
Grok 4.5: 52.2 (#35), Qwen Max: 30.7 (#292)
| Benchmark | Grok 4.5 | Qwen Max |
|---|---|---|
| LMArena Coding | 1474 | 1288 |
| DeepSWE | 53.8% | — |
| FrontierCode | 42.4% | — |
| Aider Polyglot | — | 21.8% |
| LMArena WebDev | 1553 | — |
| SciCode | 54.1% | — |
| WeirdML | 46.4% | — |
| ALE-Bench | 1,309 | — |
Agentic & Tool Use Not comparable
Grok 4.5: 44.4 (#17), Qwen Max: —
| Benchmark | Grok 4.5 | Qwen Max |
|---|---|---|
| APEX-Agents | 56.2% | — |
| τ²-bench Banking | 47.9% | — |
| PostTrainBench | 23.4% | — |
| GBAEval | 65.4% | — |
| GDP.pdf | 14% | — |
| LMArena Search | 1213 | — |
| Vending-Bench 2 | 3,887 | — |
Reasoning Grok 4.5 leads
Grok 4.5: 56.1 (#25), Qwen Max: 25.1 (#151)
| Benchmark | Grok 4.5 | Qwen Max |
|---|---|---|
| LMArena Hard Prompts | 1462 | 1269 |
| ARC-AGI-2 | 52.6% | — |
| SimpleBench | 70% | — |
| Kagi LLM Benchmark | 83.5% | — |
| NYT Connections (extended) | 79.9% | — |
| ARC-AGI-1 | 87.2% | — |
| CritPt | 15.4% | — |
| Chess Puzzles | 36% | — |
| DTBench | 96.5% | — |
| LMCA | 45.2% | — |
| Surface Evolver Bench | 74.4% | — |
| Epoch Capabilities Index | 153.92 | — |
Math Grok 4.5 leads
Grok 4.5: 60.9 (#35), Qwen Max: 22.3 (#276)
| Benchmark | Grok 4.5 | Qwen Max |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 97.8% | 16.1% |
| LMArena Math | 1459 | 1275 |
| FrontierMath (Tiers 1-3) | 57.2% | — |
| FrontierMath Tier 4 | 24.4% | — |
| ProofBench | 31% | — |
| MATH Level 5 | — | 67.2% |
| FrontierMath (Feb 2025 set) | — | 1% |
Knowledge Grok 4.5 leads
Grok 4.5: 62.3 (#24), Qwen Max: 30.3 (#228)
| Benchmark | Grok 4.5 | Qwen Max |
|---|---|---|
| GPQA Diamond | 93.4% | 56.1% |
| LMArena Expert | 1466 | 1248 |
| SimpleQA Verified | 48.3% | — |
Multimodal Not comparable
Grok 4.5: 37.6 (#72), Qwen Max: —
| Benchmark | Grok 4.5 | Qwen Max |
|---|---|---|
| LMArena Vision | 1288 | — |
| Blueprint-Bench 2 | 27.3% | — |
| Furniture Assembly | 22.5% | — |
| LMArena Document | 1452 | — |
Multilingual Grok 4.5 leads
Grok 4.5: 54.4 (#42), Qwen Max: 41.8 (#202)
| Benchmark | Grok 4.5 | Qwen Max |
|---|---|---|
| LMArena Non-English | 1440 | 1263 |
| LMArena Chinese | 1496 | 1254 |
| LMArena French | 1456 | 1330 |
| LMArena German | 1446 | 1254 |
| LMArena Japanese | 1428 | 1205 |
| LMArena Korean | 1404 | 1142 |
| LMArena Russian | 1448 | 1274 |
| LMArena Spanish | 1450 | 1290 |
Instruction Following Grok 4.5 leads
Grok 4.5: 76.0 (#48), Qwen Max: 66.5 (#208)
| Benchmark | Grok 4.5 | Qwen Max |
|---|---|---|
| LMArena Instruction Following | 1446 | 1262 |
Long Context Grok 4.5 leads
Grok 4.5: 44.8 (#56), Qwen Max: 39.4 (#180)
| Benchmark | Grok 4.5 | Qwen Max |
|---|---|---|
| LMArena Longer Query | 1463 | 1288 |
| Fiction.LiveBench | — | 66.7% |
Writing & Preference Grok 4.5 leads
Grok 4.5: 65.8 (#42), Qwen Max: 47.8 (#205)
| Benchmark | Grok 4.5 | Qwen Max |
|---|---|---|
| LMArena Text | 1448 | 1282 |
| LMArena Creative Writing | 1442 | 1248 |
| LMArena Multi-Turn | 1456 | 1277 |
| EQ-Bench Creative Writing | 1579 | — |
Frequently asked questions
Is Grok 4.5 better than Qwen Max?
Grok 4.5 is the stronger model overall, scoring 55.0 to 34.7 on the Noometry Index.
Which is cheaper, Grok 4.5 or Qwen Max?
Qwen Max is cheaper. It lists at $1.60 per million input tokens and $6.40 per million output tokens; Grok 4.5 lists at $2 and $6.
Is Grok 4.5 or Qwen Max better for coding?
Grok 4.5 scores higher on coding benchmarks: 52.2 versus 30.7 in the Noometry coding category.
Which has the bigger context window?
Grok 4.5 does, with 500K tokens against 33K.
How many benchmarks do Grok 4.5 and Qwen Max share?
19 benchmarks have published results for both models. Grok 4.5 has 52 scored results on Noometry and Qwen Max has 23.