Model comparison
Grok 4.5 vs Qwen2.5-Max
Grok 4.5 is the stronger model overall, scoring 55.0 to 40.1 on the Noometry Index.
Last verified . 18 shared benchmarks.
Summary
- They share 18 benchmarks with published results for both. Grok 4.5 scores higher in 8 categories and Qwen2.5-Max in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok 4.5 leads 56.0 to 24.6.
Side by side
| Grok 4.5 | Qwen2.5-Max | |
|---|---|---|
| Provider | xAI | Alibaba (Qwen) |
| Noometry Index | 55.0 | 40.1 |
| Released | 2026-07-08 | 2025-01-25 |
| Weights | Proprietary | Proprietary |
| Context window | 500K | — |
| Max output | 500K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $6 | — |
| Results tracked | 52 | 27 |
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Category by category
Coding Grok 4.5 leads
Grok 4.5: 51.7 (#34), Qwen2.5-Max: 41.2 (#118)
| Benchmark | Grok 4.5 | Qwen2.5-Max |
|---|---|---|
| LMArena Coding | 1473 | 1359 |
| DeepSWE | 53.8% | — |
| FrontierCode | 42.4% | — |
| LMArena WebDev | 1552 | — |
| SciCode | 54.1% | — |
| WeirdML | 46.4% | — |
| LiveBench Coding | — | 64.4% |
| ALE-Bench | 1,309 | — |
Agentic & Tool Use Not comparable
Grok 4.5: 44.4 (#15), Qwen2.5-Max: —
| Benchmark | Grok 4.5 | Qwen2.5-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: 56.0 (#23), Qwen2.5-Max: 24.6 (#144)
| Benchmark | Grok 4.5 | Qwen2.5-Max |
|---|---|---|
| LMArena Hard Prompts | 1462 | 1360 |
| Epoch Capabilities Index | 154.02 | 132.54 |
| 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% | — |
| LiveBench Reasoning | — | 51.4% |
| DTBench | 96.5% | — |
| LiveBench Data Analysis | — | 67.9% |
| LMCA | 45.2% | — |
| Surface Evolver Bench | 74.4% | — |
| LiveBench | — | 62.3% |
Math Grok 4.5 leads
Grok 4.5: 60.7 (#29), Qwen2.5-Max: 34.3 (#162)
| Benchmark | Grok 4.5 | Qwen2.5-Max |
|---|---|---|
| LMArena Math | 1457 | 1369 |
| FrontierMath (Tiers 1-3) | 57.2% | — |
| FrontierMath Tier 4 | 24.4% | — |
| OTIS Mock AIME 2024-2025 | 97.8% | — |
| ProofBench | 31% | — |
| LiveBench Math | — | 58.4% |
Knowledge Grok 4.5 leads
Grok 4.5: 62.3 (#21), Qwen2.5-Max: 34.8 (#181)
| Benchmark | Grok 4.5 | Qwen2.5-Max |
|---|---|---|
| LMArena Expert | 1466 | 1337 |
| GPQA Diamond | 93.4% | — |
| SimpleQA Verified | 48.3% | — |
| Confabulations | — | 21.8% |
Multimodal Not comparable
Grok 4.5: 37.8 (#63), Qwen2.5-Max: —
| Benchmark | Grok 4.5 | Qwen2.5-Max |
|---|---|---|
| LMArena Vision | 1287 | — |
| Blueprint-Bench 2 | 27.3% | — |
| Furniture Assembly | 22.5% | — |
| LMArena Document | 1452 | — |
Multilingual Grok 4.5 leads
Grok 4.5: 54.5 (#43), Qwen2.5-Max: 48.3 (#140)
| Benchmark | Grok 4.5 | Qwen2.5-Max |
|---|---|---|
| LMArena Non-English | 1439 | 1352 |
| LMArena Chinese | 1497 | 1382 |
| LMArena French | 1458 | 1396 |
| LMArena German | 1448 | 1350 |
| LMArena Japanese | 1425 | 1299 |
| LMArena Korean | 1402 | 1304 |
| LMArena Russian | 1447 | 1353 |
| LMArena Spanish | 1452 | 1377 |
Instruction Following Grok 4.5 leads
Grok 4.5: 76.3 (#45), Qwen2.5-Max: 71.5 (#147)
| Benchmark | Grok 4.5 | Qwen2.5-Max |
|---|---|---|
| LMArena Instruction Following | 1446 | 1335 |
| LiveBench Instruction Following | — | 75.3% |
Long Context Grok 4.5 leads
Grok 4.5: 44.8 (#54), Qwen2.5-Max: 41.3 (#137)
| Benchmark | Grok 4.5 | Qwen2.5-Max |
|---|---|---|
| LMArena Longer Query | 1463 | 1358 |
Writing & Preference Grok 4.5 leads
Grok 4.5: 65.9 (#40), Qwen2.5-Max: 55.6 (#141)
| Benchmark | Grok 4.5 | Qwen2.5-Max |
|---|---|---|
| LMArena Text | 1448 | 1367 |
| LMArena Creative Writing | 1442 | 1339 |
| LMArena Multi-Turn | 1457 | 1364 |
| Short-Story Creative Writing | — | 72.9% |
| EQ-Bench Creative Writing | 1579 | — |
| LiveBench Language | — | 56.3% |
Frequently asked questions
Is Grok 4.5 better than Qwen2.5-Max?
Grok 4.5 is the stronger model overall, scoring 55.0 to 40.1 on the Noometry Index.
Is Grok 4.5 or Qwen2.5-Max better for coding?
Grok 4.5 scores higher on coding benchmarks: 51.7 versus 41.2 in the Noometry coding category.
How many benchmarks do Grok 4.5 and Qwen2.5-Max share?
18 benchmarks have published results for both models. Grok 4.5 has 52 scored results on Noometry and Qwen2.5-Max has 27.