Grok 4.3 vs MiMo-V2.5-Pro
Updated October 21, 2026. 69 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick MiMo-V2.5-Pro for coding: it scores 40.0 on the Vibe Coding Index against 22.5 for Grok 4.3.
Pick Grok 4.3 when what matters is LiveCodeBench (Vals AI) or ALE-Bench, where it leads.
- Shared results
- 69
- Grok 4.3 only
- 35
- MiMo-V2.5-Pro only
- 1
- Like-for-like categories
- 8 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, four public coding benchmarks
MiMo-V2.5-Pro
MiMo-V2.5-Pro scores 40.0 against 22.5.
One benchmark behind each score
Intelligence
AA Intelligence Index
MiMo-V2.5-Pro
MiMo-V2.5-Pro leads, 26.0 against 24.9.
Same board, both measured
Agentic work
AA Agentic Index
MiMo-V2.5-Pro
MiMo-V2.5-Pro leads, 21.3 against 15.5.
Same board, both measured
Reasoning
GPQA Diamond
Grok 4.3
Grok 4.3 leads, 91.4% against 82.6%.
Same board, both measured
Knowledge
MMLU Pro
Grok 4.3
Grok 4.3 leads, 85.8% against 84.6%.
Same board, both measured
Web design
Design Arena: websites
MiMo-V2.5-Pro
MiMo-V2.5-Pro leads, 1267 against 1196.
Same board, both measured
Long documents
Listed context window
MiMo-V2.5-Pro
MiMo-V2.5-Pro takes 1.05M tokens against 1M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiMo-V2.5-Pro
Grok 4.3 $0.0025, MiMo-V2.5-Pro $0.0006 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
MiMo-V2.5-Pro
Grok 4.3 $0.31, MiMo-V2.5-Pro $0.03.
Published attempt cost and pass rate
At a glance
- Coding index
- Grok 4.3 22.5 from 1 benchmark, MiMo-V2.5-Pro 40.0 from 1 benchmark.
- Widest category
- Math, 14.2 points apart on average over 3 shared benchmarks.
- Widest single gap
- Excel Modeling Benchmark (Vals AI): Grok 4.3 18.4% against MiMo-V2.5-Pro 55.2%, 36.8 points apart on a 0 to 100 scale.
- Output price
- Grok 4.3 $2.50 against MiMo-V2.5-Pro $0.609 per million output tokens, 4.1x apart.
- Context window
- Grok 4.3 takes 1M tokens, MiMo-V2.5-Pro 1.05M.
Benchmark by benchmark
First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.
| Category | Grok 4.3 | Bars | MiMo-V2.5-Pro | Ties |
|---|---|---|---|---|
| Coding | 2 | 12 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 1 | 5 | ||
| Reasoning | 3 | 3 | ||
| Math | 0 | 3 | ||
| Knowledge | 4 | 5 | ||
| Web design | 0 | 8 | ||
| General | 3 | 19 | ||
| All shared boards | 13 | 56 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index212
| Benchmark | Grok 4.3 | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| LMArena WebDev | 1358 | 1480 | MiMo-V2.5-Pro |
| AA Coding Index | 42.2 | 60.2 | MiMo-V2.5-Pro |
| LiveCodeBench (Vals AI) | 84.5% | 81.3% | Grok 4.3 |
| SWE-bench Verified (Vals AI) | 71.4% | 74.0% | MiMo-V2.5-Pro |
| Terminal-Bench 4 (Vals AI) | Not measured | 0.5% | Only MiMo-V2.5-Pro measured |
| Vibe Code Bench (Vals AI) | 19.4% | 34.1% | MiMo-V2.5-Pro |
| Code migration (Vals AI) | 6.8% | 21.6% | MiMo-V2.5-Pro |
| ProgramBench (Vals AI) | 0.0% | Not measured | Only Grok 4.3 measured |
| Terminal-Bench 2.1 (Vals AI) | 42.0% | 57.3% | MiMo-V2.5-Pro |
| SkillsBench (Vals AI) | 40.6% | Not measured | Only Grok 4.3 measured |
| SciCode | 48.3% | 50.6% | MiMo-V2.5-Pro |
| Terminal-Bench Hard (Artificial Analysis run) | 37.9% | 43.2% | MiMo-V2.5-Pro |
| WeirdML | 49.9% | Not measured | Only Grok 4.3 measured |
| ALE-Bench | 944.2 | 899.8 | Grok 4.3 |
| LMArena Text: coding | 1415 | 1501 | MiMo-V2.5-Pro |
| LMArena Text: software and IT | 1416 | 1495 | MiMo-V2.5-Pro |
| LMArena WebDev: React | 1353 | 1469 | MiMo-V2.5-Pro |
| LMArena WebDev: HTML | 1367 | 1473 | MiMo-V2.5-Pro |
| LMArena WebDev: from an image | 1375 | Not measured | Only Grok 4.3 measured |
| Neither model has a result on the other 19 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Grok 4.3 | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| AA Intelligence Index | 24.9 | 26.0 | MiMo-V2.5-Pro |
| Neither model has a result on the other 1 board here | |||
Agentic workLike-for-likePublic boards, shown as published, kept out of the index15
| Benchmark | Grok 4.3 | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| AA Agentic Index | 15.5 | 21.3 | MiMo-V2.5-Pro |
| Design Arena: agents building web apps | 1126 | Not measured | Only Grok 4.3 measured |
| Design Arena: agents building full-stack apps | 1006 | Not measured | Only Grok 4.3 measured |
| Design Arena: agents building mobile apps | 1059 | Not measured | Only Grok 4.3 measured |
| Design Arena: agents building Android apps | 967 | Not measured | Only Grok 4.3 measured |
| Design Arena: agents building Godot games | 914 | Not measured | Only Grok 4.3 measured |
| Design Arena: agents building games | 1007 | Not measured | Only Grok 4.3 measured |
| Design Arena: HTML slides | 1008 | Not measured | Only Grok 4.3 measured |
| Design Arena: PowerPoint slides | 1012 | Not measured | Only Grok 4.3 measured |
| Finance Agent (Vals AI) | 37.7% | 41.5% | MiMo-V2.5-Pro |
| Tax Agent Bench (Vals AI) | 6.2% | 11.5% | MiMo-V2.5-Pro |
| Legal Research Bench (Vals AI) | 15.4% | 15.9% | MiMo-V2.5-Pro |
| Excel Modeling Benchmark (Vals AI) | 18.4% | 55.2% | MiMo-V2.5-Pro |
| τ²-Bench Telecom | 97.7% | 94.2% | Grok 4.3 |
| Vending-Bench 2 | $35 | Not measured | Only Grok 4.3 measured |
| LMArena Search | 1166 | Not measured | Only Grok 4.3 measured |
| Neither model has a result on the other 23 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index33
| Benchmark | Grok 4.3 | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| GPQA Diamond | 91.4% | 82.6% | Grok 4.3 |
| MMMU Pro (Vals AI) | 83.1% | Not measured | Only Grok 4.3 measured |
| GPQA Diamond (Artificial Analysis run) | 90.1% | 86.6% | Grok 4.3 |
| Humanity's Last Exam (Artificial Analysis run) | 37.2% | 35.7% | Grok 4.3 |
| GPQA Diamond (Epoch AI run) | 88.8% | Not measured | Only Grok 4.3 measured |
| Chess puzzles | 18.0% | Not measured | Only Grok 4.3 measured |
| LMArena Text: hard prompts | 1396 | 1486 | MiMo-V2.5-Pro |
| LMArena Text: expert | 1384 | 1501 | MiMo-V2.5-Pro |
| LMArena Text: hard prompts in English | 1402 | 1494 | MiMo-V2.5-Pro |
| LMArena Vision: diagrams | 1241 | Not measured | Only Grok 4.3 measured |
| LMArena Vision: homework | 1241 | Not measured | Only Grok 4.3 measured |
| Neither model has a result on the other 10 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | Grok 4.3 | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| OTIS Mock AIME | 93.3% | Not measured | Only Grok 4.3 measured |
| FrontierMath, tiers 1 to 3 | 42.8% | Not measured | Only Grok 4.3 measured |
| FrontierMath, tier 4 | 14.6% | Not measured | Only Grok 4.3 measured |
| ProofBench | 11.0% | 22.0% | MiMo-V2.5-Pro |
| LMArena Text: math | 1387 | 1481 | MiMo-V2.5-Pro |
| LMArena Text: mathematical work | 1396 | 1491 | MiMo-V2.5-Pro |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index45
| Benchmark | Grok 4.3 | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| MMLU Pro | 85.8% | 84.6% | Grok 4.3 |
| LegalBench (Vals AI) | 84.5% | 77.1% | Grok 4.3 |
| CaseLaw (Vals AI) | 79.3% | Not measured | Only Grok 4.3 measured |
| CorpFin (Vals AI) | 68.5% | 61.4% | Grok 4.3 |
| TaxEval (Vals AI) | 70.8% | 73.8% | MiMo-V2.5-Pro |
| MortgageTax (Vals AI) | 48.3% | Not measured | Only Grok 4.3 measured |
| MedCode (Vals AI) | 38.1% | 32.5% | Grok 4.3 |
| SimpleQA Verified | 33.2% | Not measured | Only Grok 4.3 measured |
| LMArena Text: science | 1399 | 1482 | MiMo-V2.5-Pro |
| LMArena Text: medicine and healthcare | 1384 | 1473 | MiMo-V2.5-Pro |
| LMArena Text: legal and government | 1386 | 1474 | MiMo-V2.5-Pro |
| LMArena Text: business and finance | 1381 | 1466 | MiMo-V2.5-Pro |
| Neither model has a result on the other 5 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index08
| Benchmark | Grok 4.3 | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| Design Arena: websites | 1196 | 1267 | MiMo-V2.5-Pro |
| Design Arena: UI components | 1192 | 1248 | MiMo-V2.5-Pro |
| Design Arena: game dev | 1174 | 1261 | MiMo-V2.5-Pro |
| Design Arena: data viz | 1180 | 1257 | MiMo-V2.5-Pro |
| Design Arena: 3D | 1125 | 1244 | MiMo-V2.5-Pro |
| Design Arena: all code categories | 1187 | 1266 | MiMo-V2.5-Pro |
| Design Arena: SVG | 1081 | 1181 | MiMo-V2.5-Pro |
| Design Arena: ASCII art | 1125 | 1157 | MiMo-V2.5-Pro |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index319
| Benchmark | Grok 4.3 | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| Public Benefits Bench (Vals AI) | 51.7% | Not measured | Only Grok 4.3 measured |
| SAGE (Vals AI) | 19.7% | Not measured | Only Grok 4.3 measured |
| MedScribe (Vals AI) | 74.4% | 83.7% | MiMo-V2.5-Pro |
| Vals Multimodal Index | 43.3% | Not measured | Only Grok 4.3 measured |
| IFBench | 83.3% | 79.9% | Grok 4.3 |
| Long context reasoning (AA-LCR) | 75.0% | 79.7% | MiMo-V2.5-Pro |
| DTBench | 90.7% | 84.5% | Grok 4.3 |
| LMCA | 38.3% | 29.5% | Grok 4.3 |
| LMArena Text | 1397 | 1464 | MiMo-V2.5-Pro |
| LMArena Text: instruction following | 1366 | 1475 | MiMo-V2.5-Pro |
| LMArena Text: creative writing | 1380 | 1438 | MiMo-V2.5-Pro |
| LMArena Vision | 1229 | Not measured | Only Grok 4.3 measured |
| LMArena Text: English | 1404 | 1477 | MiMo-V2.5-Pro |
| LMArena Text: non-English | 1385 | 1448 | MiMo-V2.5-Pro |
| LMArena Text: Chinese | 1422 | 1507 | MiMo-V2.5-Pro |
| LMArena Text: German | 1395 | 1459 | MiMo-V2.5-Pro |
| LMArena Text: Japanese | 1379 | 1410 | MiMo-V2.5-Pro |
| LMArena Text: Korean | 1354 | 1435 | MiMo-V2.5-Pro |
| LMArena Text: French | 1411 | 1487 | MiMo-V2.5-Pro |
| LMArena Text: Spanish | 1399 | 1469 | MiMo-V2.5-Pro |
| LMArena Text: Russian | 1399 | 1449 | MiMo-V2.5-Pro |
| LMArena Text: Polish | 1398 | 1464 | MiMo-V2.5-Pro |
| LMArena Text: multi-turn | 1406 | 1476 | MiMo-V2.5-Pro |
| LMArena Text: longer queries | 1393 | 1481 | MiMo-V2.5-Pro |
| LMArena Text: writing and language | 1385 | 1451 | MiMo-V2.5-Pro |
| LMArena Text: entertainment and media | 1370 | 1438 | MiMo-V2.5-Pro |
| LMArena Vision: English | 1235 | Not measured | Only Grok 4.3 measured |
| LMArena Vision: Chinese | 1257 | Not measured | Only Grok 4.3 measured |
| LMArena Vision: reading text | 1235 | Not measured | Only Grok 4.3 measured |
| LMArena Vision: humor | 1222 | Not measured | Only Grok 4.3 measured |
| LMArena Vision: recognizing things | 1217 | Not measured | Only Grok 4.3 measured |
| LMArena Vision: creative writing | 1237 | Not measured | Only Grok 4.3 measured |
| Neither model has a result on the other 14 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Grok 4.3 | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| Neither model has a result on 5 boards here | |||
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
MiMo-V2.5-Pro costs less
Repository review
50K input + 3K output tokens
MiMo-V2.5-Pro costs less
Agent loop
200K input + 10K output tokens
MiMo-V2.5-Pro costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | SpaceXAI Grok 4.3 | Xiaomi MiMo-V2.5-Pro |
|---|---|---|
| Maker | xAI | Xiaomi |
| Weights | No public weights listed | Open weights |
| Released | April 30, 2026 | April 22, 2026 |
| Context window | 1M | 1.05M |
| Input $/Mtok | $1.25 | $0.3045 |
| Output $/Mtok | $2.50 | $0.609 |
| Coding index | 22.5 | 40.0 |
| Independent measurements behind it | 1 | 1 |
| Cost per solved task | $0.31 | $0.03 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Grok 4.3 better than MiMo-V2.5-Pro for coding?
Pick MiMo-V2.5-Pro for coding: it scores 40.0 on the Vibe Coding Index against 22.5 for Grok 4.3. Pick Grok 4.3 when what matters is LiveCodeBench (Vals AI) or ALE-Bench, where it leads.
Which is cheaper, Grok 4.3 or MiMo-V2.5-Pro?
Grok 4.3 costs $1.25 per million input tokens and $2.50 per million output tokens; MiMo-V2.5-Pro costs $0.3045 and $0.609. Per solved SWE-bench Verified task, Grok 4.3 costs $0.31 and MiMo-V2.5-Pro $0.03.
Which has the bigger context window, Grok 4.3 or MiMo-V2.5-Pro?
MiMo-V2.5-Pro, with 1.05M tokens against 1M.
How many benchmarks is the Grok 4.3 vs MiMo-V2.5-Pro comparison based on?
69 benchmarks have a result for both models as of October 21, 2026. Grok 4.3's coding index rests on 1 independent benchmark and MiMo-V2.5-Pro's on 1. Where only one model has a result, the page says so instead of naming a winner.