MiniMax M3 vs Qwen3.7 Max
Updated October 21, 2026. 54 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 45.1 for Qwen3.7 Max.
Pick Qwen3.7 Max when what matters is LMArena WebDev or AA Coding Index, where it leads.
- Shared results
- 54
- MiniMax M3 only
- 62
- Qwen3.7 Max only
- 5
- 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 45.1.
2 and 1 benchmarks behind the scores
Intelligence
AA Intelligence Index
Qwen3.7 Max
Qwen3.7 Max leads, 29.5 against 29.2.
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 90.2%.
Same board, both measured
Knowledge
MMLU Pro
Qwen3.7 Max
Qwen3.7 Max leads, 89.3% against 84.2%.
Same board, both measured
Web design
Design Arena: websites
Qwen3.7 Max
Qwen3.7 Max leads, 1274 against 1257.
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
MiniMax M3 $0.0009, Qwen3.7 Max $0.0037 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
MiniMax M3
MiniMax M3 $0.56, Qwen3.7 Max $4.69.
Published attempt cost and pass rate
At a glance
- Coding index
- MiniMax M3 57.8 from 2 benchmarks, Qwen3.7 Max 45.1 from 1 benchmark.
- Widest category
- Math, 16.2 points apart on average over 2 shared benchmarks.
- Widest single gap
- SimpleBench: MiniMax M3 45.8% against Qwen3.7 Max 70.4%, 24.6 points apart on a 0 to 100 scale.
- Output price
- MiniMax M3 $1.20 against Qwen3.7 Max $4.425 per million output tokens, 3.7x apart.
- Context window
- MiniMax M3 takes 1.05M tokens, Qwen3.7 Max 1M.
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 | Qwen3.7 Max | Ties |
|---|---|---|---|---|
| Coding | 2 | 10 | ||
| Intelligence | 0 | 2 | ||
| Agentic work | 8 | 5 | ||
| Reasoning | 2 | 4 | 1 tie | |
| Math | 0 | 2 | ||
| Knowledge | 3 | 2 | ||
| Web design | 0 | 8 | ||
| General | 3 | 2 | ||
| All shared boards | 18 | 35 | 1 tie |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index210
| Benchmark | MiniMax M3 | Qwen3.7 Max | Leader |
|---|---|---|---|
| LiveBench coding | 70.9% | Not measured | Only MiniMax M3 measured |
| LMArena WebDev | 1482 | 1515 | Qwen3.7 Max |
| AA Coding Index | 58.6 | 66.0 | Qwen3.7 Max |
| LiveCodeBench (Vals AI) | 82.2% | 87.1% | Qwen3.7 Max |
| SWE-bench Verified (Vals AI) | 75.0% | 68.8% | MiniMax M3 |
| Terminal-Bench 4 (Vals AI) | 1.0% | Not measured | Only MiniMax M3 measured |
| Vibe Code Bench (Vals AI) | 47.6% | 47.7% | Qwen3.7 Max |
| Code migration (Vals AI) | 19.9% | 13.1% | MiniMax M3 |
| Terminal-Bench 2.1 (Vals AI) | 53.6% | 61.0% | Qwen3.7 Max |
| SWE-bench Multimodal (Vals AI) | 33.3% | Not measured | Only MiniMax M3 measured |
| Vibe Code Bench 1-100 (Vals AI) | 9.2% | Not measured | Only MiniMax M3 measured |
| SkillsBench (Vals AI) | 51.5% | Not measured | Only MiniMax M3 measured |
| CyberBench (Vals AI) | 65.0% | Not measured | Only MiniMax M3 measured |
| SciCode | 47.1% | 49.5% | Qwen3.7 Max |
| Terminal-Bench Hard (Artificial Analysis run) | 42.4% | 50.8% | Qwen3.7 Max |
| FrontierCode | 14.7% | Not measured | Only MiniMax M3 measured |
| ALE-Bench | 640.0 | 1189.4 | Qwen3.7 Max |
| LMArena Text: coding | 1470 | Not measured | Only MiniMax M3 measured |
| LMArena Text: software and IT | 1466 | Not measured | Only MiniMax M3 measured |
| LMArena WebDev: React | 1478 | 1514 | Qwen3.7 Max |
| LMArena WebDev: HTML | 1455 | 1512 | Qwen3.7 Max |
| LMArena WebDev: from an image | 1470 | Not measured | Only MiniMax M3 measured |
| Neither model has a result on the other 16 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | MiniMax M3 | Qwen3.7 Max | Leader |
|---|---|---|---|
| AA Intelligence Index | 29.2 | 29.5 | Qwen3.7 Max |
| Epoch Capabilities Index | 146.9 | 154.0 | Qwen3.7 Max |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index85
| Benchmark | MiniMax M3 | Qwen3.7 Max | Leader |
|---|---|---|---|
| AA Agentic Index | 29.5 | 22.5 | MiniMax M3 |
| Design Arena: agents building web apps | 1200 | 1208 | Qwen3.7 Max |
| Design Arena: agents building full-stack apps | 1197 | 1191 | MiniMax M3 |
| Design Arena: agents building mobile apps | 1169 | 1153 | MiniMax M3 |
| Design Arena: agents building Android apps | 1164 | 1165 | Qwen3.7 Max |
| Design Arena: agents building Godot games | Not measured | 1187 | Only Qwen3.7 Max measured |
| Design Arena: agents building games | 1158 | 1161 | Qwen3.7 Max |
| Design Arena: HTML slides | 1180 | 1158 | MiniMax M3 |
| Design Arena: PowerPoint slides | 1205 | 1196 | MiniMax M3 |
| Design Arena: spreadsheets | 1021 | Not measured | Only MiniMax M3 measured |
| LiveBench research | 68.0% | Not measured | Only MiniMax M3 measured |
| LiveBench browser | 8.0% | Not measured | Only MiniMax M3 measured |
| LiveBench long agentic | 12.4% | Not measured | Only MiniMax M3 measured |
| Finance Agent (Vals AI) | 48.3% | 47.8% | MiniMax M3 |
| Tax Agent Bench (Vals AI) | 20.6% | 15.8% | MiniMax M3 |
| Legal Research Bench (Vals AI) | 29.8% | 25.5% | MiniMax M3 |
| Excel Modeling Benchmark (Vals AI) | 47.8% | 57.0% | Qwen3.7 Max |
| τ²-Bench Telecom | 88.9% | 94.7% | Qwen3.7 Max |
| APEX-Agents | 37.7% | Not measured | Only MiniMax M3 measured |
| 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 18 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index24
| Benchmark | MiniMax M3 | Qwen3.7 Max | Leader |
|---|---|---|---|
| GPQA Diamond | 92.7% | 90.2% | MiniMax M3 |
| LiveBench reasoning | 74.5% | Not measured | Only MiniMax M3 measured |
| MMMU Pro (Vals AI) | 81.2% | Not measured | Only MiniMax M3 measured |
| GPQA Diamond (Artificial Analysis run) | 92.9% | 92.3% | MiniMax M3 |
| Humanity's Last Exam (Artificial Analysis run) | 39.0% | 40.5% | Qwen3.7 Max |
| GPQA Diamond (Epoch AI run) | 90.9% | 90.9% | Tie |
| SimpleBench | 45.8% | 70.4% | Qwen3.7 Max |
| Chess puzzles | 13.0% | 26.0% | Qwen3.7 Max |
| Mystery game puzzles | 8.0% | 32.0% | Qwen3.7 Max |
| EBR-bench | Not measured | 9.5% | Only Qwen3.7 Max measured |
| LMArena Text: hard prompts | 1447 | Not measured | Only MiniMax M3 measured |
| LMArena Text: expert | 1461 | Not measured | Only MiniMax M3 measured |
| LMArena Text: hard prompts in English | 1455 | Not measured | Only MiniMax M3 measured |
| 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 6 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | MiniMax M3 | Qwen3.7 Max | Leader |
|---|---|---|---|
| OTIS Mock AIME | 71.1% | 95.6% | Qwen3.7 Max |
| FrontierMath, tiers 1 to 3 | Not measured | 64.6% | Only Qwen3.7 Max measured |
| FrontierMath, tier 4 | Not measured | 34.1% | Only Qwen3.7 Max measured |
| ProofBench | 18.0% | 26.0% | Qwen3.7 Max |
| LMArena Text: math | 1429 | Not measured | Only MiniMax M3 measured |
| LMArena Text: mathematical work | 1448 | Not measured | Only MiniMax M3 measured |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index32
| Benchmark | MiniMax M3 | Qwen3.7 Max | Leader |
|---|---|---|---|
| MMLU Pro | 84.2% | 89.3% | Qwen3.7 Max |
| LegalBench (Vals AI) | 85.4% | 84.9% | MiniMax M3 |
| CorpFin (Vals AI) | 68.1% | 63.7% | MiniMax M3 |
| TaxEval (Vals AI) | 72.7% | 75.3% | Qwen3.7 Max |
| MortgageTax (Vals AI) | 68.4% | Not measured | Only MiniMax M3 measured |
| MedCode (Vals AI) | 46.3% | 38.8% | MiniMax M3 |
| SimpleQA Verified | Not measured | 55.8% | Only Qwen3.7 Max measured |
| LMArena Text: science | 1452 | Not measured | Only MiniMax M3 measured |
| LMArena Text: medicine and healthcare | 1441 | Not measured | Only MiniMax M3 measured |
| LMArena Text: legal and government | 1437 | Not measured | Only MiniMax M3 measured |
| LMArena Text: business and finance | 1434 | Not measured | 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 index08
| Benchmark | MiniMax M3 | Qwen3.7 Max | Leader |
|---|---|---|---|
| Design Arena: websites | 1257 | 1274 | Qwen3.7 Max |
| Design Arena: UI components | 1246 | 1269 | Qwen3.7 Max |
| Design Arena: game dev | 1210 | 1265 | Qwen3.7 Max |
| Design Arena: data viz | 1235 | 1275 | Qwen3.7 Max |
| Design Arena: 3D | 1209 | 1266 | Qwen3.7 Max |
| Design Arena: all code categories | 1247 | 1275 | Qwen3.7 Max |
| Design Arena: SVG | 1161 | 1216 | Qwen3.7 Max |
| Design Arena: ASCII art | 1161 | 1211 | Qwen3.7 Max |
| LiveBench design | 66.2% | Not measured | Only MiniMax M3 measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index32
| Benchmark | MiniMax M3 | Qwen3.7 Max | Leader |
|---|---|---|---|
| LiveBench data analysis | 76.2% | Not measured | Only MiniMax M3 measured |
| Public Benefits Bench (Vals AI) | 64.1% | Not measured | Only MiniMax M3 measured |
| SAGE (Vals AI) | 50.6% | Not measured | Only MiniMax M3 measured |
| MedScribe (Vals AI) | 87.3% | 79.4% | MiniMax M3 |
| Vals Multimodal Index | 60.0% | Not measured | Only MiniMax M3 measured |
| IFBench | 82.9% | 80.5% | MiniMax M3 |
| Long context reasoning (AA-LCR) | 83.0% | 79.0% | MiniMax M3 |
| DTBench | 78.9% | 92.3% | Qwen3.7 Max |
| LMCA | 33.7% | 44.0% | Qwen3.7 Max |
| Surface Evolver Bench | 55.0% | Not measured | Only MiniMax M3 measured |
| LMArena Text | 1433 | Not measured | Only MiniMax M3 measured |
| LMArena Text: instruction following | 1433 | Not measured | Only MiniMax M3 measured |
| LMArena Text: creative writing | 1404 | Not measured | Only MiniMax M3 measured |
| LMArena Vision | 1251 | Not measured | Only MiniMax M3 measured |
| LMArena Text: English | 1443 | Not measured | Only MiniMax M3 measured |
| LMArena Text: non-English | 1420 | Not measured | Only MiniMax M3 measured |
| LMArena Text: Chinese | 1466 | Not measured | Only MiniMax M3 measured |
| LMArena Text: German | 1428 | Not measured | Only MiniMax M3 measured |
| LMArena Text: Japanese | 1380 | Not measured | Only MiniMax M3 measured |
| LMArena Text: Korean | 1373 | Not measured | Only MiniMax M3 measured |
| LMArena Text: French | 1444 | Not measured | Only MiniMax M3 measured |
| LMArena Text: Spanish | 1433 | Not measured | Only MiniMax M3 measured |
| LMArena Text: Russian | 1426 | Not measured | Only MiniMax M3 measured |
| LMArena Text: Polish | 1423 | Not measured | Only MiniMax M3 measured |
| LMArena Text: multi-turn | 1443 | Not measured | Only MiniMax M3 measured |
| LMArena Text: longer queries | 1446 | Not measured | Only MiniMax M3 measured |
| LMArena Text: writing and language | 1419 | Not measured | Only MiniMax M3 measured |
| LMArena Text: entertainment and media | 1403 | Not measured | Only MiniMax M3 measured |
| 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 11 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | MiniMax M3 | Qwen3.7 Max | 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 | Qwen3.7 Max |
|---|---|---|
| Maker | MiniMax | Qwen |
| Weights | Open weights | No public weights listed |
| Released | May 31, 2026 | May 21, 2026 |
| Context window | 1.05M | 1M |
| Input $/Mtok | $0.30 | $1.475 |
| Output $/Mtok | $1.20 | $4.425 |
| Coding index | 57.8 | 45.1 |
| Independent measurements behind it | 2 | 1 |
| Cost per solved task | $0.56 | $4.69 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is MiniMax M3 better than Qwen3.7 Max for coding?
Pick MiniMax M3 for coding: it scores 57.8 on the Vibe Coding Index against 45.1 for Qwen3.7 Max. Pick Qwen3.7 Max when what matters is LMArena WebDev or AA Coding Index, where it leads.
Which is cheaper, MiniMax M3 or Qwen3.7 Max?
MiniMax M3 costs $0.30 per million input tokens and $1.20 per million output tokens; Qwen3.7 Max costs $1.475 and $4.425. Per solved SWE-bench Verified task, MiniMax M3 costs $0.56 and Qwen3.7 Max $4.69.
Which has the bigger context window, MiniMax M3 or Qwen3.7 Max?
MiniMax M3, with 1.05M tokens against 1M.
How many benchmarks is the MiniMax M3 vs Qwen3.7 Max comparison based on?
54 benchmarks have a result for both models as of October 21, 2026. MiniMax M3's coding index rests on 2 independent benchmarks and Qwen3.7 Max's on 1. Where only one model has a result, the page says so instead of naming a winner.