Grok 4.5 vs MiMo-V2.6-Pro
Updated October 21, 2026. 67 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick Grok 4.5 for coding: it scores 75.5 on the Vibe Coding Index against 72.6 for MiMo-V2.6-Pro.
Pick MiMo-V2.6-Pro when output tokens cost 6.9x less, or when the context window is larger, 1.05M against 500K tokens.
- Shared results
- 67
- Grok 4.5 only
- 53
- MiMo-V2.6-Pro only
- 6
- 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
Grok 4.5
Grok 4.5 scores 75.5 against 72.6.
2 benchmarks behind each score
Intelligence
AA Intelligence Index
MiMo-V2.6-Pro
MiMo-V2.6-Pro leads, 46.3 against 38.8.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Grok 4.5 has a AA Agentic Index result, 41.2.
Directional only
Reasoning
GPQA Diamond
No call
Only Grok 4.5 has a GPQA Diamond result, 92.9%.
Directional only
Knowledge
MMLU Pro
No call
Only Grok 4.5 has a MMLU Pro result, 89.2%.
Directional only
Web design
Design Arena: websites
MiMo-V2.6-Pro
MiMo-V2.6-Pro leads, 1308 against 1281.
Same board, both measured
General
Vals Index
No call
Only MiMo-V2.6-Pro has a Vals Index result, 57.8%.
Directional only
Long documents
Listed context window
MiMo-V2.6-Pro
MiMo-V2.6-Pro takes 1.05M tokens against 500K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiMo-V2.6-Pro
Grok 4.5 $0.0050, MiMo-V2.6-Pro $0.0009 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Grok 4.5 has the number, $0.62.
Directional only
At a glance
- Coding index
- Grok 4.5 75.5 from 2 benchmarks, MiMo-V2.6-Pro 72.6 from 2 benchmarks.
- Widest category
- Math, 16.9 points apart on average over 3 shared benchmarks.
- Widest single gap
- LiveBench browser: Grok 4.5 44.0% against MiMo-V2.6-Pro 88.0%, 44.0 points apart on a 0 to 100 scale.
- Output price
- Grok 4.5 $6.00 against MiMo-V2.6-Pro $0.87 per million output tokens, 6.9x apart.
- Context window
- Grok 4.5 takes 500K tokens, MiMo-V2.6-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 4.5 | Bars | MiMo-V2.6-Pro | Ties |
|---|---|---|---|---|
| Coding | 3 | 12 | 1 tie | |
| Intelligence | 0 | 1 | ||
| Agentic work | 2 | 8 | ||
| Reasoning | 3 | 4 | ||
| Math | 0 | 3 | ||
| Knowledge | 0 | 5 | ||
| Web design | 0 | 7 | ||
| General | 4 | 14 | ||
| All shared boards | 12 | 54 | 1 tie |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index312
| Benchmark | Grok 4.5 | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| LiveBench coding | 94.3% | 81.5% | Grok 4.5 |
| LMArena WebDev | 1553 | 1625 | MiMo-V2.6-Pro |
| AA Coding Index | 72.4 | Not measured | Only Grok 4.5 measured |
| LiveCodeBench (Vals AI) | 87.3% | Not measured | Only Grok 4.5 measured |
| SWE-bench Verified (Vals AI) | 86.6% | Not measured | Only Grok 4.5 measured |
| Terminal-Bench 4 (Vals AI) | 8.6% | 31.3% | MiMo-V2.6-Pro |
| Vibe Code Bench (Vals AI) | 69.0% | 85.2% | MiMo-V2.6-Pro |
| Code migration (Vals AI) | 36.6% | 43.0% | MiMo-V2.6-Pro |
| ProgramBench (Vals AI) | 0.0% | 0.5% | MiMo-V2.6-Pro |
| IOI (Vals AI) | 40.6% | 39.3% | Grok 4.5 |
| Terminal-Bench 2.1 (Vals AI) | 67.8% | 67.8% | Tie |
| SWE-bench Multimodal (Vals AI) | Not measured | 41.3% | Only MiMo-V2.6-Pro measured |
| SkillsBench (Vals AI) | 66.0% | Not measured | Only Grok 4.5 measured |
| CyberBench (Vals AI) | 71.0% | 72.9% | MiMo-V2.6-Pro |
| SciCode | 55.0% | 60.9% | MiMo-V2.6-Pro |
| FrontierCode | 42.4% | Not measured | Only Grok 4.5 measured |
| WeirdML | 46.4% | Not measured | Only Grok 4.5 measured |
| ALE-Bench | 1309.3 | 1158.1 | Grok 4.5 |
| LMArena Text: coding | 1474 | 1533 | MiMo-V2.6-Pro |
| LMArena Text: software and IT | 1471 | 1528 | MiMo-V2.6-Pro |
| LMArena WebDev: React | 1556 | 1639 | MiMo-V2.6-Pro |
| LMArena WebDev: HTML | 1567 | 1616 | MiMo-V2.6-Pro |
| LMArena WebDev: from an image | 1562 | 1598 | MiMo-V2.6-Pro |
| Neither model has a result on the other 15 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Grok 4.5 | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| AA Intelligence Index | 38.8 | 46.3 | MiMo-V2.6-Pro |
| Epoch Capabilities Index | 154.1 | Not measured | Only Grok 4.5 measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index28
| Benchmark | Grok 4.5 | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| AA Agentic Index | 41.2 | Not measured | Only Grok 4.5 measured |
| Design Arena: agents building web apps | 1217 | 1291 | MiMo-V2.6-Pro |
| Design Arena: agents building full-stack apps | 1249 | Not measured | Only Grok 4.5 measured |
| Design Arena: agents building mobile apps | 1221 | Not measured | Only Grok 4.5 measured |
| Design Arena: agents building Android apps | 1242 | Not measured | Only Grok 4.5 measured |
| Design Arena: agents building Godot games | 1229 | Not measured | Only Grok 4.5 measured |
| Design Arena: agents building games | 1235 | Not measured | Only Grok 4.5 measured |
| Design Arena: HTML slides | 1204 | Not measured | Only Grok 4.5 measured |
| Design Arena: PowerPoint slides | 1232 | Not measured | Only Grok 4.5 measured |
| LiveBench research | 85.9% | 76.7% | Grok 4.5 |
| LiveBench browser | 44.0% | 88.0% | MiMo-V2.6-Pro |
| LiveBench long agentic | 27.9% | 47.5% | MiMo-V2.6-Pro |
| SREBench (Vals AI) | 0.8% | 3.0% | MiMo-V2.6-Pro |
| Finance Agent (Vals AI) | 48.4% | 57.3% | MiMo-V2.6-Pro |
| Tax Agent Bench (Vals AI) | 24.9% | 32.4% | MiMo-V2.6-Pro |
| Legal Research Bench (Vals AI) | 38.0% | 47.1% | MiMo-V2.6-Pro |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 13.8% | Only MiMo-V2.6-Pro measured |
| Excel Modeling Benchmark (Vals AI) | 52.9% | 62.9% | MiMo-V2.6-Pro |
| Terminal-Bench-Science (Vals AI) | Not measured | 2.9% | Only MiMo-V2.6-Pro measured |
| Time Horizon Index (Vals AI) | 6.3% | Not measured | Only Grok 4.5 measured |
| APEX-Agents | 56.2% | 54.4% | Grok 4.5 |
| PostTrainBench | 23.4% | Not measured | Only Grok 4.5 measured |
| Vending-Bench 2 | $3,887 | Not measured | Only Grok 4.5 measured |
| LMArena Search | 1216 | Not measured | Only Grok 4.5 measured |
| Neither model has a result on the other 15 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index34
| Benchmark | Grok 4.5 | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| GPQA Diamond | 92.9% | Not measured | Only Grok 4.5 measured |
| LiveBench reasoning | 87.2% | 79.6% | Grok 4.5 |
| MysteryMechanism (Vals AI) | Not measured | 15.3% | Only MiMo-V2.6-Pro measured |
| MMMU Pro (Vals AI) | 61.8% | Not measured | Only Grok 4.5 measured |
| GPQA Diamond (Artificial Analysis run) | 93.1% | Not measured | Only Grok 4.5 measured |
| Humanity's Last Exam (Artificial Analysis run) | 42.7% | 49.4% | MiMo-V2.6-Pro |
| GPQA Diamond (Epoch AI run) | 93.4% | Not measured | Only Grok 4.5 measured |
| ARC-AGI | 87.2% | Not measured | Only Grok 4.5 measured |
| ARC-AGI-2 | 52.6% | Not measured | Only Grok 4.5 measured |
| SimpleBench | 70.0% | Not measured | Only Grok 4.5 measured |
| Chess puzzles | 35.0% | Not measured | Only Grok 4.5 measured |
| LMArena Text: hard prompts | 1462 | 1511 | MiMo-V2.6-Pro |
| LMArena Text: expert | 1465 | 1541 | MiMo-V2.6-Pro |
| LMArena Text: hard prompts in English | 1464 | 1520 | MiMo-V2.6-Pro |
| LMArena Vision: diagrams | 1304 | 1281 | Grok 4.5 |
| LMArena Vision: homework | 1295 | 1264 | Grok 4.5 |
| Neither model has a result on the other 5 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | Grok 4.5 | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| OTIS Mock AIME | 97.8% | Not measured | Only Grok 4.5 measured |
| FrontierMath, tiers 1 to 3 | 57.2% | Not measured | Only Grok 4.5 measured |
| FrontierMath, tier 4 | 24.4% | Not measured | Only Grok 4.5 measured |
| ProofBench | 31.0% | 70.0% | MiMo-V2.6-Pro |
| LMArena Text: math | 1460 | 1500 | MiMo-V2.6-Pro |
| LMArena Text: mathematical work | 1482 | 1511 | MiMo-V2.6-Pro |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | Grok 4.5 | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| MMLU Pro | 89.2% | Not measured | Only Grok 4.5 measured |
| LegalBench (Vals AI) | 86.0% | Not measured | Only Grok 4.5 measured |
| CorpFin (Vals AI) | 67.4% | Not measured | Only Grok 4.5 measured |
| TaxEval (Vals AI) | 71.7% | Not measured | Only Grok 4.5 measured |
| MortgageTax (Vals AI) | 61.8% | Not measured | Only Grok 4.5 measured |
| MedCode (Vals AI) | 43.3% | 45.0% | MiMo-V2.6-Pro |
| SimpleQA Verified | 48.3% | Not measured | Only Grok 4.5 measured |
| LMArena Text: science | 1464 | 1506 | MiMo-V2.6-Pro |
| LMArena Text: medicine and healthcare | 1440 | 1497 | MiMo-V2.6-Pro |
| LMArena Text: legal and government | 1463 | 1485 | MiMo-V2.6-Pro |
| LMArena Text: business and finance | 1441 | 1468 | MiMo-V2.6-Pro |
| Neither model has a result on the other 6 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index07
| Benchmark | Grok 4.5 | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| Design Arena: websites | 1281 | 1308 | MiMo-V2.6-Pro |
| Design Arena: UI components | 1279 | 1338 | MiMo-V2.6-Pro |
| Design Arena: game dev | 1263 | 1314 | MiMo-V2.6-Pro |
| Design Arena: data viz | 1267 | 1337 | MiMo-V2.6-Pro |
| Design Arena: 3D | 1257 | 1330 | MiMo-V2.6-Pro |
| Design Arena: all code categories | 1276 | 1317 | MiMo-V2.6-Pro |
| Design Arena: SVG | 1215 | Not measured | Only Grok 4.5 measured |
| Design Arena: ASCII art | 1257 | Not measured | Only Grok 4.5 measured |
| LiveBench design | 78.1% | 78.5% | MiMo-V2.6-Pro |
GeneralLike-for-likePublic boards, shown as published, kept out of the index414
| Benchmark | Grok 4.5 | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| Vals Index | Not measured | 57.8% | Only MiMo-V2.6-Pro measured |
| LiveBench data analysis | 73.0% | 72.3% | Grok 4.5 |
| Public Benefits Bench (Vals AI) | Not measured | 68.9% | Only MiMo-V2.6-Pro measured |
| SAGE (Vals AI) | 35.0% | 45.0% | MiMo-V2.6-Pro |
| MedScribe (Vals AI) | 86.9% | 88.3% | MiMo-V2.6-Pro |
| Vals Multimodal Index | 63.4% | Not measured | Only Grok 4.5 measured |
| Long context reasoning (AA-LCR) | 79.3% | 86.3% | MiMo-V2.6-Pro |
| DTBench | 96.5% | Not measured | Only Grok 4.5 measured |
| LMCA | 45.2% | Not measured | Only Grok 4.5 measured |
| Surface Evolver Bench | 74.4% | Not measured | Only Grok 4.5 measured |
| Furniture assembly | 22.5% | Not measured | Only Grok 4.5 measured |
| LMArena Text | 1448 | 1491 | MiMo-V2.6-Pro |
| LMArena Text: instruction following | 1445 | 1491 | MiMo-V2.6-Pro |
| LMArena Text: creative writing | 1442 | 1466 | MiMo-V2.6-Pro |
| LMArena Vision | 1287 | 1263 | Grok 4.5 |
| LMArena Text: English | 1453 | 1504 | MiMo-V2.6-Pro |
| LMArena Text: non-English | 1440 | 1474 | MiMo-V2.6-Pro |
| LMArena Text: Chinese | 1495 | 1529 | MiMo-V2.6-Pro |
| LMArena Text: German | 1448 | Not measured | Only Grok 4.5 measured |
| LMArena Text: Japanese | 1430 | Not measured | Only Grok 4.5 measured |
| LMArena Text: Korean | 1406 | Not measured | Only Grok 4.5 measured |
| LMArena Text: French | 1457 | Not measured | Only Grok 4.5 measured |
| LMArena Text: Spanish | 1451 | Not measured | Only Grok 4.5 measured |
| LMArena Text: Russian | 1449 | 1479 | MiMo-V2.6-Pro |
| LMArena Text: Polish | 1432 | Not measured | Only Grok 4.5 measured |
| LMArena Text: multi-turn | 1456 | 1466 | MiMo-V2.6-Pro |
| LMArena Text: longer queries | 1462 | 1501 | MiMo-V2.6-Pro |
| LMArena Text: writing and language | 1445 | 1470 | MiMo-V2.6-Pro |
| LMArena Text: entertainment and media | 1434 | 1465 | MiMo-V2.6-Pro |
| LMArena Vision: English | 1285 | 1268 | Grok 4.5 |
| LMArena Vision: Chinese | 1345 | Not measured | Only Grok 4.5 measured |
| LMArena Vision: reading text | 1293 | 1270 | Grok 4.5 |
| LMArena Vision: humor | 1276 | Not measured | Only Grok 4.5 measured |
| LMArena Vision: creative writing | 1293 | Not measured | Only Grok 4.5 measured |
| LMArena Document | 1452 | Not measured | Only Grok 4.5 measured |
| Neither model has a result on the other 11 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Grok 4.5 | MiMo-V2.6-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-V2.6-Pro costs less
Repository review
50K input + 3K output tokens
MiMo-V2.6-Pro costs less
Agent loop
200K input + 10K output tokens
MiMo-V2.6-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 4.5 | Xiaomi MiMo-V2.6-Pro |
|---|---|---|
| Maker | xAI | Xiaomi |
| Weights | No public weights listed | Open weights |
| Released | July 8, 2026 | September 21, 2026 |
| Context window | 500K | 1.05M |
| Input $/Mtok | $2.00 | $0.435 |
| Output $/Mtok | $6.00 | $0.87 |
| Coding index | 75.5 | 72.6 |
| Independent measurements behind it | 2 | 2 |
| Cost per solved task | $0.62 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Grok 4.5 better than MiMo-V2.6-Pro for coding?
Pick Grok 4.5 for coding: it scores 75.5 on the Vibe Coding Index against 72.6 for MiMo-V2.6-Pro. Pick MiMo-V2.6-Pro when output tokens cost 6.9x less, or when the context window is larger, 1.05M against 500K tokens.
Which is cheaper, Grok 4.5 or MiMo-V2.6-Pro?
Grok 4.5 costs $2.00 per million input tokens and $6.00 per million output tokens; MiMo-V2.6-Pro costs $0.435 and $0.87. Cost per solved task is known for Grok 4.5 only.
Which has the bigger context window, Grok 4.5 or MiMo-V2.6-Pro?
MiMo-V2.6-Pro, with 1.05M tokens against 500K.
How many benchmarks is the Grok 4.5 vs MiMo-V2.6-Pro comparison based on?
67 benchmarks have a result for both models as of October 21, 2026. Grok 4.5's coding index rests on 2 independent benchmarks and MiMo-V2.6-Pro's on 2. Where only one model has a result, the page says so instead of naming a winner.