Model comparison
Grok 4 vs MiMo-V2.5
Grok 4 is the stronger model overall, scoring 48.1 to 43.4 on the Noometry Index.
Last verified . 18 shared benchmarks.
Summary
- They share 18 benchmarks with published results for both. Grok 4 scores higher in 6 categories and MiMo-V2.5 in 3 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in long context, where Grok 4 leads 63.1 to 44.2.
- MiMo-V2.5 has downloadable open weights; the other is API-only.
Side by side
| Grok 4 | MiMo-V2.5 | |
|---|---|---|
| Provider | xAI | Xiaomi |
| Noometry Index | 48.1 | 43.4 |
| Released | 2025-07-09 | 2026-04-22 |
| Weights | Proprietary | Open |
| Context window | — | 1.05M |
| Max output | — | 131K |
| Input $ / M tokens | — | $0.14 |
| Output $ / M tokens | — | $0.28 |
| Results tracked | 48 | 23 |
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Category by category
Coding Grok 4 leads
Grok 4: 50.3 (#46), MiMo-V2.5: 43.9 (#81)
| Benchmark | Grok 4 | MiMo-V2.5 |
|---|---|---|
| LMArena Coding | 1408 | 1469 |
| Aider Polyglot | 79.6% | — |
| LMArena WebDev | — | 1438 |
| SciCode | — | 43.1% |
| WeirdML | 45.7% | — |
| ALE-Bench | — | 513.95 |
Agentic & Tool Use Not comparable
Grok 4: 32.3 (#68), MiMo-V2.5: —
| Benchmark | Grok 4 | MiMo-V2.5 |
|---|---|---|
| Terminal-Bench | 27.2% | — |
| Berkeley Function Calling Leaderboard | 63% | — |
| GDPval | 21.1% | — |
| Cybench | 43% | — |
| DeepResearch Bench | 47.3% | — |
| BALROG | 43.6% | — |
| LMArena Search | 1142 | — |
| METR Time Horizons | 66.6% | — |
Reasoning Grok 4 leads
Grok 4: 36.7 (#65), MiMo-V2.5: 28.6 (#101)
| Benchmark | Grok 4 | MiMo-V2.5 |
|---|---|---|
| LMArena Hard Prompts | 1409 | 1450 |
| ARC-AGI-2 | 16% | — |
| SimpleBench | 60.5% | — |
| Kagi LLM Benchmark | 73.6% | — |
| ARC-AGI-1 | 66.7% | — |
| CritPt | — | 3.7% |
| Chess Puzzles | 28% | — |
| Epoch Capabilities Index | 146.44 | — |
| ForecastBench | 60.9 | — |
Math Grok 4 leads
Grok 4: 48.4 (#64), MiMo-V2.5: 36.8 (#163)
| Benchmark | Grok 4 | MiMo-V2.5 |
|---|---|---|
| LMArena Math | 1422 | 1436 |
| OTIS Mock AIME 2024-2025 | 84% | — |
| ProofBench | — | 16% |
| Omni-MATH | 60.3% | — |
| FrontierMath (Feb 2025 set) | 19.7% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |
Knowledge Grok 4 leads
Grok 4: 53.8 (#55), MiMo-V2.5: 40.8 (#115)
| Benchmark | Grok 4 | MiMo-V2.5 |
|---|---|---|
| LMArena Expert | 1415 | 1460 |
| GPQA Diamond | 87% | — |
| MMLU-Pro | 85.1% | — |
| Confabulations | 12.4% | — |
| GPQA (HELM) | 72.7% | — |
Multimodal MiMo-V2.5 leads
Grok 4: 33.7 (#94), MiMo-V2.5: 39.8 (#54)
| Benchmark | Grok 4 | MiMo-V2.5 |
|---|---|---|
| LMArena Vision | 1210 | 1247 |
| GeoBench | 45% | — |
Multilingual Too close to call
Grok 4: 51.8 (#103), MiMo-V2.5: 51.9 (#99)
| Benchmark | Grok 4 | MiMo-V2.5 |
|---|---|---|
| LMArena Non-English | 1403 | 1404 |
| LMArena Chinese | 1427 | 1468 |
| LMArena French | 1418 | 1447 |
| LMArena German | 1429 | 1421 |
| LMArena Japanese | 1394 | 1306 |
| LMArena Korean | 1377 | 1363 |
| LMArena Russian | 1410 | 1395 |
| LMArena Spanish | 1420 | 1416 |
Instruction Following Grok 4 leads
Grok 4: 79.2 (#5), MiMo-V2.5: 75.5 (#60)
| Benchmark | Grok 4 | MiMo-V2.5 |
|---|---|---|
| LMArena Instruction Following | 1387 | 1434 |
| IFEval | 94.9% | — |
Long Context Grok 4 leads
Grok 4: 63.1 (#4), MiMo-V2.5: 44.2 (#73)
| Benchmark | Grok 4 | MiMo-V2.5 |
|---|---|---|
| LMArena Longer Query | 1409 | 1445 |
| Fiction.LiveBench | 94.4% | — |
Writing & Preference MiMo-V2.5 leads
Grok 4: 58.5 (#116), MiMo-V2.5: 61.6 (#86)
| Benchmark | Grok 4 | MiMo-V2.5 |
|---|---|---|
| LMArena Text | 1411 | 1428 |
| LMArena Creative Writing | 1397 | 1393 |
| LMArena Multi-Turn | 1416 | 1445 |
| Short-Story Creative Writing | 76.9% | — |
| WildBench | 79.7% | — |
Frequently asked questions
Is Grok 4 better than MiMo-V2.5?
Grok 4 is the stronger model overall, scoring 48.1 to 43.4 on the Noometry Index.
Is Grok 4 or MiMo-V2.5 better for coding?
Grok 4 scores higher on coding benchmarks: 50.3 versus 43.9 in the Noometry coding category.
How many benchmarks do Grok 4 and MiMo-V2.5 share?
18 benchmarks have published results for both models. Grok 4 has 48 scored results on Noometry and MiMo-V2.5 has 23.