Model comparison
Grok 4.20 (Non-Reasoning) vs MiMo-V2.5-Pro
Grok 4.20 (Non-Reasoning) is the stronger model overall, scoring 48.5 to 44.8 on the Noometry Index. MiMo-V2.5-Pro costs 2.9× less per token, which makes it the better buy when Grok 4.20 (Non-Reasoning)'s lead doesn't matter for your workload.
Last verified . 24 shared benchmarks.
Summary
- They share 24 benchmarks with published results for both. Grok 4.20 (Non-Reasoning) scores higher in 5 categories and MiMo-V2.5-Pro in 3 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok 4.20 (Non-Reasoning) leads 52.2 to 25.9.
- The biggest single-benchmark swing is NYT Connections (extended): 85.4% for Grok 4.20 (Non-Reasoning) and 34.4% for MiMo-V2.5-Pro.
- MiMo-V2.5-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $1.25 / $2.50 for Grok 4.20 (Non-Reasoning).
- MiMo-V2.5-Pro accepts more context: 1.05M tokens versus 1M.
- MiMo-V2.5-Pro has downloadable open weights; the other is API-only.
Side by side
| Grok 4.20 (Non-Reasoning) | MiMo-V2.5-Pro | |
|---|---|---|
| Provider | xAI | Xiaomi |
| Noometry Index | 48.5 | 44.8 |
| Released | 2026-02-17 | 2026-04-22 |
| Weights | Proprietary | Open |
| Context window | 1M | 1.05M |
| Max output | 30K | 131K |
| Input $ / M tokens | $1.25 | $0.43 |
| Output $ / M tokens | $2.50 | $0.87 |
| Results tracked | 46 | 27 |
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Category by category
Coding MiMo-V2.5-Pro leads
Grok 4.20 (Non-Reasoning): 41.8 (#104), MiMo-V2.5-Pro: 47.0 (#58)
| Benchmark | Grok 4.20 (Non-Reasoning) | MiMo-V2.5-Pro |
|---|---|---|
| LMArena WebDev | 1374 | 1477 |
| LMArena Coding | 1458 | 1502 |
| ALE-Bench | 1,150 | 899.8 |
| SciCode | — | 50.2% |
| WeirdML | 52.3% | — |
Agentic & Tool Use Not comparable
Grok 4.20 (Non-Reasoning): 34.3 (#43), MiMo-V2.5-Pro: —
| Benchmark | Grok 4.20 (Non-Reasoning) | MiMo-V2.5-Pro |
|---|---|---|
| Terminal-Bench | 57.3% | — |
| τ²-bench Banking | 18% | — |
| LMArena Search | 1189 | — |
| Vending-Bench 2 | 4,663 | — |
Reasoning Grok 4.20 (Non-Reasoning) leads
Grok 4.20 (Non-Reasoning): 52.2 (#30), MiMo-V2.5-Pro: 25.9 (#124)
| Benchmark | Grok 4.20 (Non-Reasoning) | MiMo-V2.5-Pro |
|---|---|---|
| NYT Connections (extended) | 85.4% | 34.4% |
| LMArena Hard Prompts | 1451 | 1487 |
| DTBench | 90.1% | 84.5% |
| LMCA | 38.7% | 29.5% |
| ARC-AGI-2 | 65.1% | — |
| Kagi LLM Benchmark | 75% | — |
| ARC-AGI-1 | 89.5% | — |
| CritPt | — | 4% |
| Chess Puzzles | 24% | — |
| Thematic Generalization | 63.8% | — |
| Epoch Capabilities Index | 152.01 | — |
| ForecastBench | 61.4 | — |
Math Grok 4.20 (Non-Reasoning) leads
Grok 4.20 (Non-Reasoning): 48.0 (#54), MiMo-V2.5-Pro: 38.6 (#84)
| Benchmark | Grok 4.20 (Non-Reasoning) | MiMo-V2.5-Pro |
|---|---|---|
| ProofBench | 14% | 22% |
| LMArena Math | 1455 | 1480 |
| FrontierMath (Tiers 1-3) | 44.9% | — |
| FrontierMath Tier 4 | 17.1% | — |
| OTIS Mock AIME 2024-2025 | 92.2% | — |
Knowledge Grok 4.20 (Non-Reasoning) leads
Grok 4.20 (Non-Reasoning): 52.8 (#54), MiMo-V2.5-Pro: 41.5 (#100)
| Benchmark | Grok 4.20 (Non-Reasoning) | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Expert | 1440 | 1501 |
| GPQA Diamond | 89.3% | — |
| SimpleQA Verified | 30.2% | — |
Multimodal Not comparable
Grok 4.20 (Non-Reasoning): 33.2 (#88), MiMo-V2.5-Pro: —
| Benchmark | Grok 4.20 (Non-Reasoning) | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Vision | 1263 | — |
| Blueprint-Bench 2 | 0% | — |
| LMArena Document | 1416 | — |
Multilingual Too close to call
Grok 4.20 (Non-Reasoning): 54.7 (#38), MiMo-V2.5-Pro: 55.3 (#33)
| Benchmark | Grok 4.20 (Non-Reasoning) | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Non-English | 1440 | 1449 |
| LMArena Chinese | 1481 | 1507 |
| LMArena French | 1477 | 1489 |
| LMArena German | 1463 | 1455 |
| LMArena Japanese | 1450 | 1418 |
| LMArena Korean | 1417 | 1436 |
| LMArena Russian | 1457 | 1450 |
| LMArena Spanish | 1442 | 1470 |
Instruction Following MiMo-V2.5-Pro leads
Grok 4.20 (Non-Reasoning): 75.0 (#79), MiMo-V2.5-Pro: 77.6 (#21)
| Benchmark | Grok 4.20 (Non-Reasoning) | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Instruction Following | 1420 | 1477 |
Long Context Too close to call
Grok 4.20 (Non-Reasoning): 45.4 (#33), MiMo-V2.5-Pro: 45.4 (#38)
| Benchmark | Grok 4.20 (Non-Reasoning) | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Longer Query | 1436 | 1482 |
| CL-bench | 22.2% | — |
| CL-bench Life | 11.9% | — |
Writing & Preference Too close to call
Grok 4.20 (Non-Reasoning): 65.9 (#42), MiMo-V2.5-Pro: 65.5 (#47)
| Benchmark | Grok 4.20 (Non-Reasoning) | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Text | 1451 | 1465 |
| LMArena Creative Writing | 1439 | 1440 |
| EQ-Bench Creative Writing | 1574 | 1493 |
| LMArena Multi-Turn | 1456 | 1477 |
| EQ-Bench 4 | — | 1208 |
Frequently asked questions
Is Grok 4.20 (Non-Reasoning) better than MiMo-V2.5-Pro?
Grok 4.20 (Non-Reasoning) is the stronger model overall, scoring 48.5 to 44.8 on the Noometry Index. MiMo-V2.5-Pro costs 2.9× less per token, which makes it the better buy when Grok 4.20 (Non-Reasoning)'s lead doesn't matter for your workload.
Which is cheaper, Grok 4.20 (Non-Reasoning) or MiMo-V2.5-Pro?
MiMo-V2.5-Pro is cheaper. It lists at $0.43 per million input tokens and $0.87 per million output tokens; Grok 4.20 (Non-Reasoning) lists at $1.25 and $2.50.
Is Grok 4.20 (Non-Reasoning) or MiMo-V2.5-Pro better for coding?
MiMo-V2.5-Pro scores higher on coding benchmarks: 47.0 versus 41.8 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2.5-Pro does, with 1.05M tokens against 1M.
How many benchmarks do Grok 4.20 (Non-Reasoning) and MiMo-V2.5-Pro share?
24 benchmarks have published results for both models. Grok 4.20 (Non-Reasoning) has 46 scored results on Noometry and MiMo-V2.5-Pro has 27.