Model comparison
Grok 4.3 vs MiMo-V2-Pro
Grok 4.3 is the stronger model overall, scoring 43.6 to 42.4 on the Noometry Index. MiMo-V2-Pro costs 2.9× less per token, which makes it the better buy when Grok 4.3's lead doesn't matter for your workload.
Last verified . 20 shared benchmarks.
Summary
- They share 20 benchmarks with published results for both. Grok 4.3 scores higher in 4 categories and MiMo-V2-Pro in 4 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok 4.3 leads 34.9 to 21.3.
- The biggest single-benchmark swing is NYT Connections (extended): 55.2% for Grok 4.3 and 25.8% for MiMo-V2-Pro.
- MiMo-V2-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $1.25 / $2.50 for Grok 4.3.
- MiMo-V2-Pro accepts more context: 1.05M tokens versus 1M.
Side by side
| Grok 4.3 | MiMo-V2-Pro | |
|---|---|---|
| Provider | xAI | Xiaomi |
| Noometry Index | 43.6 | 42.4 |
| Released | 2026-04-17 | 2026-03-18 |
| Weights | Proprietary | Proprietary |
| 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 | 40 | 23 |
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Category by category
Coding MiMo-V2-Pro leads
Grok 4.3: 41.3 (#117), MiMo-V2-Pro: 43.4 (#76)
| Benchmark | Grok 4.3 | MiMo-V2-Pro |
|---|---|---|
| LMArena WebDev | 1357 | 1433 |
| LMArena Coding | 1415 | 1476 |
| ALE-Bench | 944.17 | 785.17 |
| SciCode | 47.3% | — |
| WeirdML | 49.9% | — |
Agentic & Tool Use Not comparable
Grok 4.3: 27.6 (#93), MiMo-V2-Pro: —
| Benchmark | Grok 4.3 | MiMo-V2-Pro |
|---|---|---|
| GDP.pdf | 8% | — |
| LMArena Search | 1165 | — |
| Vending-Bench 2 | 35.26 | — |
Reasoning Grok 4.3 leads
Grok 4.3: 34.9 (#60), MiMo-V2-Pro: 21.3 (#200)
| Benchmark | Grok 4.3 | MiMo-V2-Pro |
|---|---|---|
| NYT Connections (extended) | 55.2% | 25.8% |
| LMArena Hard Prompts | 1397 | 1457 |
| CritPt | 8% | — |
| Chess Puzzles | 25% | — |
| Thematic Generalization | — | 45.9% |
| DTBench | 90.7% | — |
| LMCA | 38.3% | — |
| Epoch Capabilities Index | 149.13 | — |
| ForecastBench | 60.3 | — |
Math Grok 4.3 leads
Grok 4.3: 45.8 (#60), MiMo-V2-Pro: 36.7 (#104)
| Benchmark | Grok 4.3 | MiMo-V2-Pro |
|---|---|---|
| LMArena Math | 1388 | 1447 |
| FrontierMath (Tiers 1-3) | 42.8% | — |
| FrontierMath Tier 4 | 14.6% | — |
| OTIS Mock AIME 2024-2025 | 93.3% | — |
| ProofBench | 11% | — |
Knowledge Grok 4.3 leads
Grok 4.3: 52.5 (#57), MiMo-V2-Pro: 40.8 (#106)
| Benchmark | Grok 4.3 | MiMo-V2-Pro |
|---|---|---|
| LMArena Expert | 1385 | 1479 |
| GPQA Diamond | 88.8% | — |
| SimpleQA Verified | 33.2% | — |
Multimodal Not comparable
Grok 4.3: 31.6 (#96), MiMo-V2-Pro: —
| Benchmark | Grok 4.3 | MiMo-V2-Pro |
|---|---|---|
| LMArena Vision | 1231 | — |
| Blueprint-Bench 2 | 0% | — |
Multilingual MiMo-V2-Pro leads
Grok 4.3: 50.7 (#114), MiMo-V2-Pro: 52.9 (#77)
| Benchmark | Grok 4.3 | MiMo-V2-Pro |
|---|---|---|
| LMArena Non-English | 1385 | 1416 |
| LMArena Chinese | 1423 | 1455 |
| LMArena French | 1412 | 1470 |
| LMArena German | 1395 | 1417 |
| LMArena Japanese | 1379 | 1366 |
| LMArena Korean | 1357 | 1401 |
| LMArena Russian | 1399 | 1427 |
| LMArena Spanish | 1402 | 1458 |
Instruction Following MiMo-V2-Pro leads
Grok 4.3: 72.3 (#135), MiMo-V2-Pro: 76.2 (#46)
| Benchmark | Grok 4.3 | MiMo-V2-Pro |
|---|---|---|
| LMArena Instruction Following | 1366 | 1444 |
Long Context Too close to call
Grok 4.3: 42.5 (#118), MiMo-V2-Pro: 41.5 (#133)
| Benchmark | Grok 4.3 | MiMo-V2-Pro |
|---|---|---|
| LMArena Longer Query | 1393 | 1455 |
| CL-bench | — | 15.7% |
| CL-bench Life | — | 6.9% |
Writing & Preference MiMo-V2-Pro leads
Grok 4.3: 58.6 (#112), MiMo-V2-Pro: 62.9 (#67)
| Benchmark | Grok 4.3 | MiMo-V2-Pro |
|---|---|---|
| LMArena Text | 1397 | 1436 |
| LMArena Creative Writing | 1380 | 1415 |
| LMArena Multi-Turn | 1406 | 1456 |
| EQ-Bench 4 | 1075 | — |
Frequently asked questions
Is Grok 4.3 better than MiMo-V2-Pro?
Grok 4.3 is the stronger model overall, scoring 43.6 to 42.4 on the Noometry Index. MiMo-V2-Pro costs 2.9× less per token, which makes it the better buy when Grok 4.3's lead doesn't matter for your workload.
Which is cheaper, Grok 4.3 or MiMo-V2-Pro?
MiMo-V2-Pro is cheaper. It lists at $0.43 per million input tokens and $0.87 per million output tokens; Grok 4.3 lists at $1.25 and $2.50.
Is Grok 4.3 or MiMo-V2-Pro better for coding?
MiMo-V2-Pro scores higher on coding benchmarks: 43.4 versus 41.3 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2-Pro does, with 1.05M tokens against 1M.
How many benchmarks do Grok 4.3 and MiMo-V2-Pro share?
20 benchmarks have published results for both models. Grok 4.3 has 40 scored results on Noometry and MiMo-V2-Pro has 23.