Grok 4.3 vs MiniMax M3
MiniMax M3 leads Grok 4.3 on coding, 39.2 to 37.4 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; 97 benchmarks have a result for both.
Grok 4.3 or MiniMax M3: which to pick
Grok 4.3 and MiniMax M3 are level for coding, 37.4 against 39.2 on the Vibe Coding Index, so price and context decide.
Pick Grok 4.3 for a lower cost per solved task ($0.31 against $0.56) and work measured by LiveCodeBench (Vals AI) or SciCode, where it leads. Pick MiniMax M3 for output tokens 2.1x cheaper ($1.20 vs $2.50 per million) and a larger context window (1.05M against 1M tokens).
- Shared results
- 97
- Grok 4.3 only
- 8
- MiniMax M3 only
- 19
- Like-for-like categories
- 8 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
No call
Level: 37.4 against 39.2, inside 2 points.
3 and 6 benchmarks behind the scores
Intelligence
AA Intelligence Index
MiniMax M3
MiniMax M3 leads, 29.2 against 24.9.
Same board, both measured
Agentic work
AA Agentic Index
MiniMax M3
MiniMax M3 leads, 29.5 against 15.5.
Same board, both measured
Reasoning
GPQA Diamond
MiniMax M3
MiniMax M3 leads, 92.7% against 91.4%.
Same board, both measured
Knowledge
MMLU Pro
Grok 4.3
Grok 4.3 leads, 85.8% against 84.2%.
Same board, both measured
Web design
Design Arena: websites
MiniMax M3
MiniMax M3 leads, 1257 against 1196.
Same board, both measured
Long documents
Listed context window
MiniMax M3
MiniMax M3 takes 1.05M tokens against 1M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiniMax M3
Grok 4.3 $0.0025, MiniMax M3 $0.0009 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Grok 4.3
Grok 4.3 $0.31, MiniMax M3 $0.56.
Published attempt cost and pass rate
At a glance
- Coding index
- Grok 4.3 37.4 from 3 benchmarks, MiniMax M3 39.2 from 6 benchmarks.
- Widest category
- Agentic work, 17.3 points apart on average over 15 shared benchmarks.
- Widest single gap
- SAGE (Vals AI): Grok 4.3 19.7% against MiniMax M3 50.6%, 30.8 points apart on a 0 to 100 scale.
- Output price
- Grok 4.3 $2.50 against MiniMax M3 $1.20 per million output tokens, 2.1x apart.
- Context window
- Grok 4.3 takes 1M 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 4.3 | Bars | MiniMax M3 | Ties |
|---|---|---|---|---|
| Coding | 3 | 13 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 1 | 14 | ||
| Reasoning | 2 | 9 | ||
| Math | 1 | 3 | ||
| Knowledge | 2 | 8 | ||
| Web design | 0 | 8 | ||
| General | 5 | 27 | ||
| All shared boards | 14 | 83 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index313
| Benchmark | Grok 4.3 | MiniMax M3 | Leader |
|---|---|---|---|
| LiveBench coding | Not measured | 70.9% | Only MiniMax M3 measured |
| LMArena WebDev | 1358 | 1482 | MiniMax M3 |
| AA Coding Index | 42.2 | 58.6 | MiniMax M3 |
| LiveCodeBench (Vals AI) | 84.5% | 82.2% | Grok 4.3 |
| SWE-bench Verified (Vals AI) | 71.4% | 75.0% | MiniMax M3 |
| Terminal-Bench 4 (Vals AI) | Not measured | 1.0% | Only MiniMax M3 measured |
| Vibe Code Bench (Vals AI) | 19.4% | 47.6% | MiniMax M3 |
| Code migration (Vals AI) | 6.8% | 19.9% | MiniMax M3 |
| ProgramBench (Vals AI) | 0.0% | Not measured | Only Grok 4.3 measured |
| Terminal-Bench 2.1 (Vals AI) | 42.0% | 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) | 40.6% | 51.5% | MiniMax M3 |
| CyberBench (Vals AI) | Not measured | 65.0% | Only MiniMax M3 measured |
| SciCode | 48.3% | 47.1% | Grok 4.3 |
| Terminal-Bench Hard (Artificial Analysis run) | 37.9% | 42.4% | MiniMax M3 |
| FrontierCode | Not measured | 14.7% | Only MiniMax M3 measured |
| WeirdML | 49.9% | Not measured | Only Grok 4.3 measured |
| ALE-Bench | 944.2 | 640.0 | Grok 4.3 |
| LMArena Text: coding | 1415 | 1470 | MiniMax M3 |
| LMArena Text: software and IT | 1416 | 1466 | MiniMax M3 |
| LMArena WebDev: React | 1353 | 1478 | MiniMax M3 |
| LMArena WebDev: HTML | 1367 | 1455 | MiniMax M3 |
| LMArena WebDev: from an image | 1375 | 1470 | MiniMax M3 |
| 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 4.3 | MiniMax M3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 24.9 | 29.2 | MiniMax M3 |
| Epoch Capabilities Index | Not measured | 146.9 | Only MiniMax M3 measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index114
| Benchmark | Grok 4.3 | MiniMax M3 | Leader |
|---|---|---|---|
| AA Agentic Index | 15.5 | 29.5 | MiniMax M3 |
| Design Arena: agents building web apps | 1126 | 1200 | MiniMax M3 |
| Design Arena: agents building full-stack apps | 1006 | 1197 | MiniMax M3 |
| Design Arena: agents building mobile apps | 1058 | 1169 | MiniMax M3 |
| Design Arena: agents building Android apps | 962 | 1159 | MiniMax M3 |
| Design Arena: agents building Godot games | 914 | Not measured | Only Grok 4.3 measured |
| Design Arena: agents building games | 1007 | 1158 | MiniMax M3 |
| Design Arena: HTML slides | 959 | 1130 | MiniMax M3 |
| Design Arena: PowerPoint slides | 988 | 1181 | MiniMax M3 |
| Design Arena: spreadsheets | 879 | 1028 | MiniMax M3 |
| 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) | 37.7% | 48.3% | MiniMax M3 |
| Tax Agent Bench (Vals AI) | 6.2% | 20.6% | MiniMax M3 |
| Legal Research Bench (Vals AI) | 15.4% | 29.8% | MiniMax M3 |
| Excel Modeling Benchmark (Vals AI) | 18.4% | 47.8% | MiniMax M3 |
| τ²-Bench Telecom | 97.7% | 88.9% | Grok 4.3 |
| APEX-Agents | Not measured | 37.7% | Only MiniMax M3 measured |
| OSWorld 2.0 | Not measured | 4.6% | Only MiniMax M3 measured |
| Vending-Bench 2 | $35 | $2,158 | MiniMax M3 |
| LMArena Search | 1166 | Not measured | Only Grok 4.3 measured |
| Neither model has a result on the other 19 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index29
| Benchmark | Grok 4.3 | MiniMax M3 | Leader |
|---|---|---|---|
| GPQA Diamond | 91.4% | 92.7% | MiniMax M3 |
| LiveBench reasoning | Not measured | 74.5% | Only MiniMax M3 measured |
| MMMU Pro (Vals AI) | 83.1% | 81.2% | Grok 4.3 |
| GPQA Diamond (Artificial Analysis run) | 90.1% | 92.9% | MiniMax M3 |
| Humanity's Last Exam (Artificial Analysis run) | 37.2% | 39.0% | MiniMax M3 |
| GPQA Diamond (Epoch AI run) | 88.8% | 90.9% | MiniMax M3 |
| SimpleBench | Not measured | 45.8% | Only MiniMax M3 measured |
| Chess puzzles | 18.0% | 13.0% | Grok 4.3 |
| Mystery game puzzles | Not measured | 8.0% | Only MiniMax M3 measured |
| LMArena Text: hard prompts | 1396 | 1447 | MiniMax M3 |
| LMArena Text: expert | 1384 | 1461 | MiniMax M3 |
| LMArena Text: hard prompts in English | 1402 | 1455 | MiniMax M3 |
| LMArena Vision: diagrams | 1241 | 1266 | MiniMax M3 |
| LMArena Vision: homework | 1241 | 1268 | MiniMax M3 |
| Neither model has a result on the other 8 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index13
| Benchmark | Grok 4.3 | MiniMax M3 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 93.3% | 71.1% | Grok 4.3 |
| 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% | 18.0% | MiniMax M3 |
| LMArena Text: math | 1387 | 1429 | MiniMax M3 |
| LMArena Text: mathematical work | 1396 | 1448 | MiniMax M3 |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index28
| Benchmark | Grok 4.3 | MiniMax M3 | Leader |
|---|---|---|---|
| MMLU Pro | 85.8% | 84.2% | Grok 4.3 |
| LegalBench (Vals AI) | 84.5% | 85.4% | MiniMax M3 |
| CaseLaw (Vals AI) | 79.3% | Not measured | Only Grok 4.3 measured |
| CorpFin (Vals AI) | 68.5% | 68.1% | Grok 4.3 |
| TaxEval (Vals AI) | 70.8% | 72.7% | MiniMax M3 |
| MortgageTax (Vals AI) | 48.3% | 68.4% | MiniMax M3 |
| MedCode (Vals AI) | 38.1% | 46.3% | MiniMax M3 |
| SimpleQA Verified | 33.2% | Not measured | Only Grok 4.3 measured |
| LMArena Text: science | 1399 | 1452 | MiniMax M3 |
| LMArena Text: medicine and healthcare | 1384 | 1441 | MiniMax M3 |
| LMArena Text: legal and government | 1386 | 1437 | MiniMax M3 |
| LMArena Text: business and finance | 1381 | 1434 | MiniMax M3 |
| Neither model has a result on the other 6 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index08
| Benchmark | Grok 4.3 | MiniMax M3 | Leader |
|---|---|---|---|
| Design Arena: websites | 1196 | 1257 | MiniMax M3 |
| Design Arena: UI components | 1190 | 1242 | MiniMax M3 |
| Design Arena: game dev | 1173 | 1210 | MiniMax M3 |
| Design Arena: data viz | 1179 | 1236 | MiniMax M3 |
| Design Arena: 3D | 1124 | 1208 | MiniMax M3 |
| Design Arena: all code categories | 1186 | 1247 | MiniMax M3 |
| Design Arena: SVG | 1080 | 1161 | MiniMax M3 |
| Design Arena: ASCII art | 1125 | 1161 | MiniMax M3 |
| LiveBench design | Not measured | 66.2% | Only MiniMax M3 measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index527
| Benchmark | Grok 4.3 | MiniMax M3 | Leader |
|---|---|---|---|
| LiveBench data analysis | Not measured | 76.2% | Only MiniMax M3 measured |
| Public Benefits Bench (Vals AI) | 51.7% | 64.1% | MiniMax M3 |
| SAGE (Vals AI) | 19.7% | 50.6% | MiniMax M3 |
| MedScribe (Vals AI) | 74.4% | 87.3% | MiniMax M3 |
| Vals Multimodal Index | 43.3% | 60.0% | MiniMax M3 |
| IFBench | 83.3% | 82.9% | Grok 4.3 |
| Long context reasoning (AA-LCR) | 75.0% | 83.0% | MiniMax M3 |
| DTBench | 90.7% | 78.9% | Grok 4.3 |
| LMCA | 38.3% | 33.7% | Grok 4.3 |
| Surface Evolver Bench | Not measured | 55.0% | Only MiniMax M3 measured |
| LMArena Text | 1397 | 1433 | MiniMax M3 |
| LMArena Text: instruction following | 1366 | 1433 | MiniMax M3 |
| LMArena Text: creative writing | 1380 | 1404 | MiniMax M3 |
| LMArena Vision | 1229 | 1251 | MiniMax M3 |
| LMArena Text: English | 1404 | 1443 | MiniMax M3 |
| LMArena Text: non-English | 1385 | 1420 | MiniMax M3 |
| LMArena Text: Chinese | 1422 | 1466 | MiniMax M3 |
| LMArena Text: German | 1395 | 1428 | MiniMax M3 |
| LMArena Text: Japanese | 1379 | 1380 | MiniMax M3 |
| LMArena Text: Korean | 1354 | 1373 | MiniMax M3 |
| LMArena Text: French | 1411 | 1444 | MiniMax M3 |
| LMArena Text: Spanish | 1399 | 1433 | MiniMax M3 |
| LMArena Text: Russian | 1399 | 1426 | MiniMax M3 |
| LMArena Text: Polish | 1398 | 1423 | MiniMax M3 |
| LMArena Text: multi-turn | 1406 | 1443 | MiniMax M3 |
| LMArena Text: longer queries | 1393 | 1446 | MiniMax M3 |
| LMArena Text: writing and language | 1385 | 1419 | MiniMax M3 |
| LMArena Text: entertainment and media | 1370 | 1403 | MiniMax M3 |
| LMArena Vision: English | 1235 | 1263 | MiniMax M3 |
| LMArena Vision: Chinese | 1257 | 1311 | MiniMax M3 |
| LMArena Vision: reading text | 1235 | 1259 | MiniMax M3 |
| LMArena Vision: humor | 1222 | 1235 | MiniMax M3 |
| LMArena Vision: recognizing things | 1217 | 1197 | Grok 4.3 |
| LMArena Vision: creative writing | 1237 | 1234 | Grok 4.3 |
| LMArena Document | Not measured | 1435 | Only MiniMax M3 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 4.3 | 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 4.3 | MiniMax M3 |
|---|---|---|
| Maker | xAI | MiniMax |
| Weights | No public weights listed | Open weights |
| Released | April 30, 2026 | May 31, 2026 |
| Context window | 1M | 1.05M |
| Input $/Mtok | $1.25 | $0.30 |
| Output $/Mtok | $2.50 | $1.20 |
| Coding index | 37.4 | 39.2 |
| Independent measurements behind it | 3 | 6 |
| Cost per solved task | $0.31 | $0.56 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Grok 4.3 better than MiniMax M3 for coding?
Grok 4.3 and MiniMax M3 are level for coding, 37.4 against 39.2 on the Vibe Coding Index, so price and context decide. Pick Grok 4.3 for a lower cost per solved task ($0.31 against $0.56) and work measured by LiveCodeBench (Vals AI) or SciCode, where it leads. Pick MiniMax M3 for output tokens 2.1x cheaper ($1.20 vs $2.50 per million) and a larger context window (1.05M against 1M tokens).
Which is cheaper, Grok 4.3 or MiniMax M3?
Grok 4.3 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 4.3 costs $0.31 and MiniMax M3 $0.56.
Which has the bigger context window, Grok 4.3 or MiniMax M3?
MiniMax M3, with 1.05M tokens against 1M.
How many benchmarks is the Grok 4.3 vs MiniMax M3 comparison based on?
97 benchmarks have a result for both models as of October 22, 2026. Grok 4.3's coding index rests on 3 independent benchmarks and MiniMax M3's on 6. Where only one model has a result, the page says so instead of naming a winner.