MiniMax M3 vs Inkling
Updated October 21, 2026. 90 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick MiniMax M3 for coding: it scores 57.8 on the Vibe Coding Index against 49.7 for Inkling.
Pick Inkling when what matters is LiveCodeBench (Vals AI) or SWE-bench Verified (Vals AI), where it leads.
- Shared results
- 90
- MiniMax M3 only
- 26
- Inkling only
- 12
- 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
MiniMax M3
MiniMax M3 scores 57.8 against 49.7.
2 benchmarks behind each score
Intelligence
AA Intelligence Index
MiniMax M3
MiniMax M3 leads, 29.2 against 25.0.
Same board, both measured
Agentic work
AA Agentic Index
MiniMax M3
MiniMax M3 leads, 29.5 against 22.5.
Same board, both measured
Reasoning
GPQA Diamond
MiniMax M3
MiniMax M3 leads, 92.7% against 87.1%.
Same board, both measured
Knowledge
MMLU Pro
Inkling
Inkling leads, 86.3% against 84.2%.
Same board, both measured
Web design
Design Arena: websites
MiniMax M3
MiniMax M3 leads, 1257 against 1224.
Same board, both measured
General
Vals Index
No call
Only Inkling has a Vals Index result, 29.0%.
Directional only
Long documents
Listed context window
MiniMax M3
MiniMax M3 takes 1.05M tokens against 524K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiniMax M3
MiniMax M3 $0.0009, Inkling $0.0030 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
MiniMax M3
MiniMax M3 $0.56, Inkling $0.76.
Published attempt cost and pass rate
At a glance
- Coding index
- MiniMax M3 57.8 from 2 benchmarks, Inkling 49.7 from 2 benchmarks.
- Widest category
- Math, 11.5 points apart on average over 4 shared benchmarks.
- Widest single gap
- Vibe Code Bench (Vals AI): MiniMax M3 47.6% against Inkling 19.2%, 28.4 points apart on a 0 to 100 scale.
- Output price
- MiniMax M3 $1.20 against Inkling $4.05 per million output tokens, 3.4x apart.
- Context window
- MiniMax M3 takes 1.05M tokens, Inkling 524K.
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 | MiniMax M3 | Bars | Inkling | Ties |
|---|---|---|---|---|
| Coding | 15 | 4 | ||
| Intelligence | 1 | 1 | ||
| Agentic work | 8 | 2 | ||
| Reasoning | 6 | 5 | ||
| Math | 1 | 3 | ||
| Knowledge | 3 | 7 | ||
| Web design | 9 | 0 | ||
| General | 13 | 12 | ||
| All shared boards | 56 | 34 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index154
| Benchmark | MiniMax M3 | Inkling | Leader |
|---|---|---|---|
| LiveBench coding | 70.9% | 64.0% | MiniMax M3 |
| LMArena WebDev | 1482 | 1414 | MiniMax M3 |
| AA Coding Index | 58.6 | 52.1 | MiniMax M3 |
| LiveCodeBench (Vals AI) | 82.2% | 85.5% | Inkling |
| SWE-bench Verified (Vals AI) | 75.0% | 77.6% | Inkling |
| Terminal-Bench 4 (Vals AI) | 1.0% | 0.5% | MiniMax M3 |
| Vibe Code Bench (Vals AI) | 47.6% | 19.2% | MiniMax M3 |
| Code migration (Vals AI) | 19.9% | 11.8% | MiniMax M3 |
| ProgramBench (Vals AI) | Not measured | 0.0% | Only Inkling measured |
| IOI (Vals AI) | Not measured | 14.9% | Only Inkling measured |
| Terminal-Bench 2.1 (Vals AI) | 53.6% | 47.6% | MiniMax M3 |
| SWE-bench Multimodal (Vals AI) | 33.3% | Not measured | Only MiniMax M3 measured |
| Vibe Code Bench 1-100 (Vals AI) | 9.2% | 7.3% | MiniMax M3 |
| SkillsBench (Vals AI) | 51.5% | 26.1% | MiniMax M3 |
| CyberBench (Vals AI) | 65.0% | 66.8% | Inkling |
| SciCode | 47.1% | 47.0% | MiniMax M3 |
| Terminal-Bench Hard (Artificial Analysis run) | 42.4% | Not measured | Only MiniMax M3 measured |
| FrontierCode | 14.7% | 14.0% | MiniMax M3 |
| FrontierSWE | Not measured | 4.1% | Only Inkling measured |
| WeirdML | Not measured | 32.3% | Only Inkling measured |
| ALE-Bench | 640.0 | 946.0 | Inkling |
| LMArena Text: coding | 1470 | 1466 | MiniMax M3 |
| LMArena Text: software and IT | 1466 | 1465 | MiniMax M3 |
| LMArena WebDev: React | 1478 | 1404 | MiniMax M3 |
| LMArena WebDev: HTML | 1455 | 1399 | MiniMax M3 |
| LMArena WebDev: from an image | 1470 | Not measured | Only MiniMax M3 measured |
| Neither model has a result on the other 12 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | MiniMax M3 | Inkling | Leader |
|---|---|---|---|
| AA Intelligence Index | 29.2 | 25.0 | MiniMax M3 |
| Epoch Capabilities Index | 146.9 | 148.4 | Inkling |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index82
| Benchmark | MiniMax M3 | Inkling | Leader |
|---|---|---|---|
| AA Agentic Index | 29.5 | 22.5 | MiniMax M3 |
| Design Arena: agents building web apps | 1200 | 1196 | MiniMax M3 |
| Design Arena: agents building full-stack apps | 1197 | Not measured | Only MiniMax M3 measured |
| Design Arena: agents building mobile apps | 1169 | Not measured | Only MiniMax M3 measured |
| Design Arena: agents building Android apps | 1164 | Not measured | Only MiniMax M3 measured |
| Design Arena: agents building games | 1158 | Not measured | Only MiniMax M3 measured |
| Design Arena: HTML slides | 1180 | Not measured | Only MiniMax M3 measured |
| Design Arena: PowerPoint slides | 1205 | Not measured | Only MiniMax M3 measured |
| Design Arena: spreadsheets | 1021 | Not measured | Only MiniMax M3 measured |
| LiveBench research | 68.0% | 59.9% | MiniMax M3 |
| LiveBench browser | 8.0% | 16.0% | Inkling |
| LiveBench long agentic | 12.4% | 14.1% | Inkling |
| SREBench (Vals AI) | Not measured | 0.0% | Only Inkling measured |
| Finance Agent (Vals AI) | 48.3% | 46.6% | MiniMax M3 |
| Tax Agent Bench (Vals AI) | 20.6% | 15.3% | MiniMax M3 |
| Legal Research Bench (Vals AI) | 29.8% | 28.4% | MiniMax M3 |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 3.8% | Only Inkling measured |
| Excel Modeling Benchmark (Vals AI) | 47.8% | 38.4% | MiniMax M3 |
| τ²-Bench Telecom | 88.9% | Not measured | Only MiniMax M3 measured |
| APEX-Agents | 37.7% | 33.8% | MiniMax M3 |
| OSWorld 2.0 | 4.6% | Not measured | Only MiniMax M3 measured |
| Vending-Bench 2 | $2,158 | Not measured | Only MiniMax M3 measured |
| Neither model has a result on the other 17 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index65
| Benchmark | MiniMax M3 | Inkling | Leader |
|---|---|---|---|
| GPQA Diamond | 92.7% | 87.1% | MiniMax M3 |
| LiveBench reasoning | 74.5% | 78.3% | Inkling |
| MMMU Pro (Vals AI) | 81.2% | 78.5% | MiniMax M3 |
| GPQA Diamond (Artificial Analysis run) | 92.9% | 87.2% | MiniMax M3 |
| Humanity's Last Exam (Artificial Analysis run) | 39.0% | 31.9% | MiniMax M3 |
| GPQA Diamond (Epoch AI run) | 90.9% | 88.3% | MiniMax M3 |
| ARC-AGI | Not measured | 79.5% | Only Inkling measured |
| ARC-AGI-2 | Not measured | 36.5% | Only Inkling measured |
| SimpleBench | 45.8% | 50.0% | Inkling |
| Chess puzzles | 13.0% | 21.0% | Inkling |
| Mystery game puzzles | 8.0% | Not measured | Only MiniMax M3 measured |
| LMArena Text: hard prompts | 1447 | 1451 | Inkling |
| LMArena Text: expert | 1461 | 1466 | Inkling |
| LMArena Text: hard prompts in English | 1455 | 1448 | MiniMax M3 |
| LMArena Vision: diagrams | 1266 | Not measured | Only MiniMax M3 measured |
| LMArena Vision: homework | 1268 | Not measured | Only MiniMax M3 measured |
| Neither model has a result on the other 5 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index13
| Benchmark | MiniMax M3 | Inkling | Leader |
|---|---|---|---|
| OTIS Mock AIME | 71.1% | 88.9% | Inkling |
| FrontierMath, tiers 1 to 3 | Not measured | 33.3% | Only Inkling measured |
| FrontierMath, tier 4 | Not measured | 4.9% | Only Inkling measured |
| ProofBench | 18.0% | 0.0% | MiniMax M3 |
| LMArena Text: math | 1429 | 1479 | Inkling |
| LMArena Text: mathematical work | 1448 | 1460 | Inkling |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index37
| Benchmark | MiniMax M3 | Inkling | Leader |
|---|---|---|---|
| MMLU Pro | 84.2% | 86.3% | Inkling |
| LegalBench (Vals AI) | 85.4% | 83.0% | MiniMax M3 |
| CorpFin (Vals AI) | 68.1% | 68.6% | Inkling |
| TaxEval (Vals AI) | 72.7% | 75.3% | Inkling |
| MortgageTax (Vals AI) | 68.4% | 64.0% | MiniMax M3 |
| MedCode (Vals AI) | 46.3% | 41.2% | MiniMax M3 |
| SimpleQA Verified | Not measured | 40.3% | Only Inkling measured |
| LMArena Text: science | 1452 | 1455 | Inkling |
| LMArena Text: medicine and healthcare | 1441 | 1447 | Inkling |
| LMArena Text: legal and government | 1437 | 1448 | Inkling |
| LMArena Text: business and finance | 1434 | 1438 | Inkling |
| Neither model has a result on the other 6 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index90
| Benchmark | MiniMax M3 | Inkling | Leader |
|---|---|---|---|
| Design Arena: websites | 1257 | 1224 | MiniMax M3 |
| Design Arena: UI components | 1246 | 1200 | MiniMax M3 |
| Design Arena: game dev | 1210 | 1166 | MiniMax M3 |
| Design Arena: data viz | 1235 | 1160 | MiniMax M3 |
| Design Arena: 3D | 1209 | 1161 | MiniMax M3 |
| Design Arena: all code categories | 1247 | 1206 | MiniMax M3 |
| Design Arena: SVG | 1161 | 1109 | MiniMax M3 |
| Design Arena: ASCII art | 1161 | 1089 | MiniMax M3 |
| LiveBench design | 66.2% | 58.3% | MiniMax M3 |
GeneralLike-for-likePublic boards, shown as published, kept out of the index1312
| Benchmark | MiniMax M3 | Inkling | Leader |
|---|---|---|---|
| Vals Index | Not measured | 29.0% | Only Inkling measured |
| LiveBench data analysis | 76.2% | 72.8% | MiniMax M3 |
| Public Benefits Bench (Vals AI) | 64.1% | 58.5% | MiniMax M3 |
| SAGE (Vals AI) | 50.6% | 36.5% | MiniMax M3 |
| MedScribe (Vals AI) | 87.3% | 85.4% | MiniMax M3 |
| Vals Multimodal Index | 60.0% | 49.4% | MiniMax M3 |
| IFBench | 82.9% | Not measured | Only MiniMax M3 measured |
| Long context reasoning (AA-LCR) | 83.0% | 77.3% | MiniMax M3 |
| DTBench | 78.9% | 87.5% | Inkling |
| LMCA | 33.7% | 37.6% | Inkling |
| Surface Evolver Bench | 55.0% | Not measured | Only MiniMax M3 measured |
| LMArena Text | 1433 | 1442 | Inkling |
| LMArena Text: instruction following | 1433 | 1425 | MiniMax M3 |
| LMArena Text: creative writing | 1404 | 1390 | MiniMax M3 |
| LMArena Vision | 1251 | Not measured | Only MiniMax M3 measured |
| LMArena Text: English | 1443 | 1442 | MiniMax M3 |
| LMArena Text: non-English | 1420 | 1434 | Inkling |
| LMArena Text: Chinese | 1466 | 1493 | Inkling |
| LMArena Text: German | 1428 | 1445 | Inkling |
| LMArena Text: Japanese | 1380 | 1429 | Inkling |
| LMArena Text: Korean | 1373 | 1403 | Inkling |
| LMArena Text: French | 1444 | 1455 | Inkling |
| LMArena Text: Spanish | 1433 | 1449 | Inkling |
| LMArena Text: Russian | 1426 | 1430 | Inkling |
| LMArena Text: Polish | 1423 | 1450 | Inkling |
| LMArena Text: multi-turn | 1443 | 1437 | MiniMax M3 |
| LMArena Text: longer queries | 1446 | 1435 | MiniMax M3 |
| LMArena Text: writing and language | 1419 | 1404 | MiniMax M3 |
| LMArena Text: entertainment and media | 1403 | 1394 | MiniMax M3 |
| LMArena Vision: English | 1263 | Not measured | Only MiniMax M3 measured |
| LMArena Vision: Chinese | 1311 | Not measured | Only MiniMax M3 measured |
| LMArena Vision: reading text | 1259 | Not measured | Only MiniMax M3 measured |
| LMArena Vision: humor | 1235 | Not measured | Only MiniMax M3 measured |
| LMArena Vision: recognizing things | 1197 | Not measured | Only MiniMax M3 measured |
| LMArena Vision: creative writing | 1234 | Not measured | Only MiniMax M3 measured |
| LMArena Document | 1435 | Not measured | Only MiniMax M3 measured |
| Neither model has a result on the other 10 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | MiniMax M3 | Inkling | 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 | MiniMax M3 | Thinking Machines Inkling |
|---|---|---|
| Maker | MiniMax | Thinking Machines |
| Weights | Open weights | Open weights |
| Released | May 31, 2026 | July 17, 2026 |
| Context window | 1.05M | 524K |
| Input $/Mtok | $0.30 | $1.00 |
| Output $/Mtok | $1.20 | $4.05 |
| Coding index | 57.8 | 49.7 |
| Independent measurements behind it | 2 | 2 |
| Cost per solved task | $0.56 | $0.76 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is MiniMax M3 better than Inkling for coding?
Pick MiniMax M3 for coding: it scores 57.8 on the Vibe Coding Index against 49.7 for Inkling. Pick Inkling when what matters is LiveCodeBench (Vals AI) or SWE-bench Verified (Vals AI), where it leads.
Which is cheaper, MiniMax M3 or Inkling?
MiniMax M3 costs $0.30 per million input tokens and $1.20 per million output tokens; Inkling costs $1.00 and $4.05. Per solved SWE-bench Verified task, MiniMax M3 costs $0.56 and Inkling $0.76.
Which has the bigger context window, MiniMax M3 or Inkling?
MiniMax M3, with 1.05M tokens against 524K.
How many benchmarks is the MiniMax M3 vs Inkling comparison based on?
90 benchmarks have a result for both models as of October 21, 2026. MiniMax M3's coding index rests on 2 independent benchmarks and Inkling's on 2. Where only one model has a result, the page says so instead of naming a winner.