Grok 4.20 vs MiniMax M3
MiniMax M3 leads Grok 4.20 on coding, 39.2 to 33.3 on the Vibe Coding Index, and MiniMax M3 costs 2.1x less per output token ($1.20 vs $2.50 per million). Updated October 22, 2026; 44 benchmarks have a result for both.
Grok 4.20 or MiniMax M3: which to pick
Pick MiniMax M3 for coding: it scores 39.2 on the Vibe Coding Index against 33.3 for Grok 4.20.
Pick Grok 4.20 for a larger context window (2M against 1.05M tokens) and work measured by LiveCodeBench (Vals AI) or Epoch Capabilities Index, where it leads.
- Shared results
- 44
- Grok 4.20 only
- 11
- MiniMax M3 only
- 72
- Like-for-like categories
- 7 of 9
Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.
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, six public coding benchmarks
MiniMax M3
MiniMax M3 scores 39.2 against 33.3.
2 and 6 benchmarks behind the scores
Intelligence
AA Intelligence Index
MiniMax M3
MiniMax M3 leads, 29.2 against 25.7.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only MiniMax M3 has a AA Agentic Index result, 29.5.
Directional only
Reasoning
GPQA Diamond
MiniMax M3
MiniMax M3 leads, 92.7% against 88.6%.
Same board, both measured
Math
AIME
No call
Only Grok 4.20 has a AIME result, 96.5%.
Directional only
Knowledge
MMLU Pro
Grok 4.20
Grok 4.20 leads, 86.3% against 84.2%.
Same board, both measured
Web design
Design Arena: websites
MiniMax M3
MiniMax M3 leads, 1257 against 1229.
Same board, both measured
Long documents
Listed context window
Grok 4.20
Grok 4.20 takes 2M tokens against 1.05M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiniMax M3
Grok 4.20 $0.0025, MiniMax M3 $0.0009 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
MiniMax M3
Grok 4.20 $0.72, MiniMax M3 $0.56.
Published attempt cost and pass rate
At a glance
- Coding index
- Grok 4.20 33.3 from 2 benchmarks, MiniMax M3 39.2 from 6 benchmarks.
- Widest category
- Agentic work, 14.6 points apart on average over 11 shared benchmarks.
- Widest single gap
- Vibe Code Bench (Vals AI): Grok 4.20 4.1% against MiniMax M3 47.6%, 43.5 points apart on a 0 to 100 scale.
- Output price
- Grok 4.20 $2.50 against MiniMax M3 $1.20 per million output tokens, 2.1x apart.
- Context window
- Grok 4.20 takes 2M tokens, MiniMax M3 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 4.20 | Bars | MiniMax M3 | Ties |
|---|---|---|---|---|
| Coding | 1 | 5 | ||
| Intelligence | 1 | 1 | ||
| Agentic work | 3 | 8 | ||
| Reasoning | 1 | 3 | ||
| Knowledge | 2 | 4 | ||
| Web design | 2 | 6 | ||
| General | 2 | 5 | ||
| All shared boards | 12 | 32 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index15
| Benchmark | Grok 4.20 | MiniMax M3 | Leader |
|---|---|---|---|
| LiveBench coding | Not measured | 70.9% | Only MiniMax M3 measured |
| LMArena WebDev | Not measured | 1482 | Only MiniMax M3 measured |
| AA Coding Index | Not measured | 58.6 | Only MiniMax M3 measured |
| LiveCodeBench (Vals AI) | 84.3% | 82.2% | Grok 4.20 |
| SWE-bench Verified (Vals AI) | 72.2% | 75.0% | MiniMax M3 |
| Terminal-Bench 4 (Vals AI) | Not measured | 1.0% | Only MiniMax M3 measured |
| Vibe Code Bench (Vals AI) | 4.1% | 47.6% | MiniMax M3 |
| Code migration (Vals AI) | 0.3% | 19.9% | MiniMax M3 |
| Terminal-Bench 2.1 (Vals AI) | 44.2% | 53.6% | MiniMax M3 |
| SWE-bench Multimodal (Vals AI) | Not measured | 33.3% | Only MiniMax M3 measured |
| Vibe Code Bench 1-100 (Vals AI) | Not measured | 9.2% | Only MiniMax M3 measured |
| SkillsBench (Vals AI) | Not measured | 51.5% | Only MiniMax M3 measured |
| CyberBench (Vals AI) | Not measured | 65.0% | Only MiniMax M3 measured |
| SciCode | Not measured | 47.1% | Only MiniMax M3 measured |
| Terminal-Bench Hard (Artificial Analysis run) | 37.9% | 42.4% | MiniMax M3 |
| Terminal-Bench | 57.3% | Not measured | Only Grok 4.20 measured |
| FrontierCode | Not measured | 14.7% | Only MiniMax M3 measured |
| WeirdML | 52.3% | Not measured | Only Grok 4.20 measured |
| ALE-Bench | Not measured | 640.0 | Only MiniMax M3 measured |
| LMArena Text: coding | Not measured | 1470 | Only MiniMax M3 measured |
| LMArena Text: software and IT | Not measured | 1466 | Only MiniMax M3 measured |
| LMArena WebDev: React | Not measured | 1478 | Only MiniMax M3 measured |
| LMArena WebDev: HTML | Not measured | 1455 | Only MiniMax M3 measured |
| LMArena WebDev: from an image | Not measured | 1470 | Only MiniMax M3 measured |
| Neither model has a result on the other 15 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | Grok 4.20 | MiniMax M3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 25.7 | 29.2 | MiniMax M3 |
| Epoch Capabilities Index | 152.1 | 146.9 | Grok 4.20 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index38
| Benchmark | Grok 4.20 | MiniMax M3 | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 29.5 | Only MiniMax M3 measured |
| Design Arena: agents building web apps | 1144 | 1200 | MiniMax M3 |
| Design Arena: agents building full-stack apps | 1054 | 1197 | MiniMax M3 |
| Design Arena: agents building mobile apps | 1090 | 1169 | MiniMax M3 |
| Design Arena: agents building Android apps | 1045 | 1159 | MiniMax M3 |
| Design Arena: agents building Godot games | 1089 | Not measured | Only Grok 4.20 measured |
| Design Arena: agents building games | Not measured | 1158 | Only MiniMax M3 measured |
| Design Arena: HTML slides | 1180 | 1130 | Grok 4.20 |
| Design Arena: PowerPoint slides | Not measured | 1181 | Only MiniMax M3 measured |
| Design Arena: spreadsheets | Not measured | 1028 | Only MiniMax M3 measured |
| LiveBench research | Not measured | 68.0% | Only MiniMax M3 measured |
| LiveBench browser | Not measured | 8.0% | Only MiniMax M3 measured |
| LiveBench long agentic | Not measured | 12.4% | Only MiniMax M3 measured |
| Finance Agent (Vals AI) | 28.5% | 48.3% | MiniMax M3 |
| Tax Agent Bench (Vals AI) | 7.0% | 20.6% | MiniMax M3 |
| Legal Research Bench (Vals AI) | 13.9% | 29.8% | MiniMax M3 |
| Excel Modeling Benchmark (Vals AI) | 11.7% | 47.8% | MiniMax M3 |
| τ²-Bench Telecom | 93.0% | 88.9% | Grok 4.20 |
| APEX-Agents | Not measured | 37.7% | Only MiniMax M3 measured |
| OSWorld 2.0 | Not measured | 4.6% | Only MiniMax M3 measured |
| Vending-Bench 2 | $4,663 | $2,158 | Grok 4.20 |
| Neither model has a result on the other 20 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index13
| Benchmark | Grok 4.20 | MiniMax M3 | Leader |
|---|---|---|---|
| GPQA Diamond | 88.6% | 92.7% | MiniMax M3 |
| LiveBench reasoning | Not measured | 74.5% | Only MiniMax M3 measured |
| MMMU Pro (Vals AI) | 83.5% | 81.2% | Grok 4.20 |
| GPQA Diamond (Artificial Analysis run) | 91.1% | 92.9% | MiniMax M3 |
| Humanity's Last Exam (Artificial Analysis run) | 34.5% | 39.0% | MiniMax M3 |
| GPQA Diamond (Epoch AI run) | Not measured | 90.9% | Only MiniMax M3 measured |
| ARC-AGI | 89.5% | Not measured | Only Grok 4.20 measured |
| ARC-AGI-2 | 65.1% | Not measured | Only Grok 4.20 measured |
| SimpleBench | Not measured | 45.8% | Only MiniMax M3 measured |
| Chess puzzles | Not measured | 13.0% | Only MiniMax M3 measured |
| Mystery game puzzles | Not measured | 8.0% | Only MiniMax M3 measured |
| LMArena Text: hard prompts | Not measured | 1447 | Only MiniMax M3 measured |
| LMArena Text: expert | Not measured | 1461 | Only MiniMax M3 measured |
| LMArena Text: hard prompts in English | Not measured | 1455 | Only MiniMax M3 measured |
| LMArena Vision: diagrams | Not measured | 1266 | Only MiniMax M3 measured |
| LMArena Vision: homework | Not measured | 1268 | Only MiniMax M3 measured |
| Kagi LLM Benchmark | 75.0% | Not measured | Only Grok 4.20 measured |
| Neither model has a result on the other 5 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
| Benchmark | Grok 4.20 | MiniMax M3 | Leader |
|---|---|---|---|
| AIME | 96.5% | Not measured | Only Grok 4.20 measured |
| OTIS Mock AIME | Not measured | 71.1% | Only MiniMax M3 measured |
| ProofBench | Not measured | 18.0% | Only MiniMax M3 measured |
| LMArena Text: math | Not measured | 1429 | Only MiniMax M3 measured |
| LMArena Text: mathematical work | Not measured | 1448 | Only MiniMax M3 measured |
| Neither model has a result on the other 8 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index24
| Benchmark | Grok 4.20 | MiniMax M3 | Leader |
|---|---|---|---|
| MMLU Pro | 86.3% | 84.2% | Grok 4.20 |
| LegalBench (Vals AI) | 77.7% | 85.4% | MiniMax M3 |
| CaseLaw (Vals AI) | 54.4% | Not measured | Only Grok 4.20 measured |
| CorpFin (Vals AI) | 63.7% | 68.1% | MiniMax M3 |
| TaxEval (Vals AI) | 74.1% | 72.7% | Grok 4.20 |
| MortgageTax (Vals AI) | 45.4% | 68.4% | MiniMax M3 |
| MedQA (Vals AI) | 94.5% | Not measured | Only Grok 4.20 measured |
| MedCode (Vals AI) | 32.2% | 46.3% | MiniMax M3 |
| LMArena Text: science | Not measured | 1452 | Only MiniMax M3 measured |
| LMArena Text: medicine and healthcare | Not measured | 1441 | Only MiniMax M3 measured |
| LMArena Text: legal and government | Not measured | 1437 | Only MiniMax M3 measured |
| LMArena Text: business and finance | Not measured | 1434 | Only MiniMax M3 measured |
| Neither model has a result on the other 6 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index26
| Benchmark | Grok 4.20 | MiniMax M3 | Leader |
|---|---|---|---|
| Design Arena: websites | 1229 | 1257 | MiniMax M3 |
| Design Arena: UI components | 1200 | 1242 | MiniMax M3 |
| Design Arena: game dev | 1193 | 1210 | MiniMax M3 |
| Design Arena: data viz | 1217 | 1236 | MiniMax M3 |
| Design Arena: 3D | 1193 | 1208 | MiniMax M3 |
| Design Arena: all code categories | 1221 | 1247 | MiniMax M3 |
| Design Arena: SVG | 1165 | 1161 | Grok 4.20 |
| Design Arena: ASCII art | 1175 | 1161 | Grok 4.20 |
| LiveBench design | Not measured | 66.2% | Only MiniMax M3 measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index25
| Benchmark | Grok 4.20 | MiniMax M3 | Leader |
|---|---|---|---|
| LiveBench data analysis | Not measured | 76.2% | Only MiniMax M3 measured |
| Public Benefits Bench (Vals AI) | Not measured | 64.1% | Only MiniMax M3 measured |
| SAGE (Vals AI) | 38.2% | 50.6% | MiniMax M3 |
| MedScribe (Vals AI) | 63.4% | 87.3% | MiniMax M3 |
| Vals Multimodal Index | 39.1% | 60.0% | MiniMax M3 |
| IFBench | 81.2% | 82.9% | MiniMax M3 |
| Long context reasoning (AA-LCR) | 69.0% | 83.0% | MiniMax M3 |
| DTBench | 90.1% | 78.9% | Grok 4.20 |
| LMCA | 38.7% | 33.7% | Grok 4.20 |
| CL-bench | 22.2% | Not measured | Only Grok 4.20 measured |
| Surface Evolver Bench | Not measured | 55.0% | Only MiniMax M3 measured |
| CL-bench Life | 11.9% | Not measured | Only Grok 4.20 measured |
| LMArena Text | Not measured | 1433 | Only MiniMax M3 measured |
| LMArena Text: instruction following | Not measured | 1433 | Only MiniMax M3 measured |
| LMArena Text: creative writing | Not measured | 1404 | Only MiniMax M3 measured |
| LMArena Vision | Not measured | 1251 | Only MiniMax M3 measured |
| LMArena Text: English | Not measured | 1443 | Only MiniMax M3 measured |
| LMArena Text: non-English | Not measured | 1420 | Only MiniMax M3 measured |
| LMArena Text: Chinese | Not measured | 1466 | Only MiniMax M3 measured |
| LMArena Text: German | Not measured | 1428 | Only MiniMax M3 measured |
| LMArena Text: Japanese | Not measured | 1380 | Only MiniMax M3 measured |
| LMArena Text: Korean | Not measured | 1373 | Only MiniMax M3 measured |
| LMArena Text: French | Not measured | 1444 | Only MiniMax M3 measured |
| LMArena Text: Spanish | Not measured | 1433 | Only MiniMax M3 measured |
| LMArena Text: Russian | Not measured | 1426 | Only MiniMax M3 measured |
| LMArena Text: Polish | Not measured | 1423 | Only MiniMax M3 measured |
| LMArena Text: multi-turn | Not measured | 1443 | Only MiniMax M3 measured |
| LMArena Text: longer queries | Not measured | 1446 | Only MiniMax M3 measured |
| LMArena Text: writing and language | Not measured | 1419 | Only MiniMax M3 measured |
| LMArena Text: entertainment and media | Not measured | 1403 | Only MiniMax M3 measured |
| LMArena Vision: English | Not measured | 1263 | Only MiniMax M3 measured |
| LMArena Vision: Chinese | Not measured | 1311 | Only MiniMax M3 measured |
| LMArena Vision: reading text | Not measured | 1259 | Only MiniMax M3 measured |
| LMArena Vision: humor | Not measured | 1235 | Only MiniMax M3 measured |
| LMArena Vision: recognizing things | Not measured | 1197 | Only MiniMax M3 measured |
| LMArena Vision: creative writing | Not measured | 1234 | Only MiniMax M3 measured |
| LMArena Document | Not measured | 1435 | Only MiniMax M3 measured |
| Neither model has a result on the other 9 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Grok 4.20 | MiniMax M3 | 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
MiniMax M3 costs less
Repository review
50K input + 3K output tokens
MiniMax M3 costs less
Agent loop
200K input + 10K output tokens
MiniMax M3 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 4.20 | MiniMax M3 |
|---|---|---|
| Maker | xAI | MiniMax |
| Weights | No public weights listed | Open weights |
| Released | March 31, 2026 | May 31, 2026 |
| Context window | 2M | 1.05M |
| Input $/Mtok | $1.25 | $0.30 |
| Output $/Mtok | $2.50 | $1.20 |
| Coding index | 33.3 | 39.2 |
| Independent measurements behind it | 2 | 6 |
| Cost per solved task | $0.72 | $0.56 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Grok 4.20 better than MiniMax M3 for coding?
Pick MiniMax M3 for coding: it scores 39.2 on the Vibe Coding Index against 33.3 for Grok 4.20. Pick Grok 4.20 for a larger context window (2M against 1.05M tokens) and work measured by LiveCodeBench (Vals AI) or Epoch Capabilities Index, where it leads.
Which is cheaper, Grok 4.20 or MiniMax M3?
Grok 4.20 costs $1.25 per million input tokens and $2.50 per million output tokens; MiniMax M3 costs $0.30 and $1.20. Per solved SWE-bench Verified task, Grok 4.20 costs $0.72 and MiniMax M3 $0.56.
Which has the bigger context window, Grok 4.20 or MiniMax M3?
Grok 4.20, with 2M tokens against 1.05M.
How many benchmarks is the Grok 4.20 vs MiniMax M3 comparison based on?
44 benchmarks have a result for both models as of October 22, 2026. Grok 4.20's coding index rests on 2 independent benchmarks and MiniMax M3's on 6. Where only one model has a result, the page says so instead of naming a winner.