MiniMax M3.1 Flash vs Qwen3.7 Max
MiniMax M3.1 Flash leads Qwen3.7 Max on coding, 59.0 to 54.1 on the Vibe Coding Index, and MiniMax M3.1 Flash costs 7.4x less per output token ($0.60 vs $4.425 per million). Updated October 22, 2026; 10 benchmarks have a result for both.
MiniMax M3.1 Flash or Qwen3.7 Max: which to pick
Pick MiniMax M3.1 Flash for coding: it scores 59.0 on the Vibe Coding Index against 54.1 for Qwen3.7 Max.
Qwen3.7 Max is neither cheaper nor larger in context, and leads no benchmark both models were measured on.
- Shared results
- 10
- MiniMax M3.1 Flash only
- 10
- Qwen3.7 Max only
- 50
- Like-for-like categories
- 5 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 M3.1 Flash
MiniMax M3.1 Flash scores 59.0 against 54.1.
4 and 3 benchmarks behind the scores
Intelligence
AA Intelligence Index
MiniMax M3.1 Flash
MiniMax M3.1 Flash leads, 42.7 against 29.5.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Qwen3.7 Max has a AA Agentic Index result, 22.5.
Directional only
Reasoning
GPQA Diamond
No call
Only Qwen3.7 Max has a GPQA Diamond result, 90.2%.
Directional only
Knowledge
MMLU Pro
No call
Only Qwen3.7 Max has a MMLU Pro result, 89.3%.
Directional only
Web design
Design Arena: websites
No call
Only Qwen3.7 Max has a Design Arena: websites result, 1274.
Directional only
General
Vals Index
No call
Only MiniMax M3.1 Flash has a Vals Index result, 53.8%.
Directional only
Long documents
Listed context window
No call
Both take 1M tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiniMax M3.1 Flash
MiniMax M3.1 Flash $0.0004, Qwen3.7 Max $0.0037 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Qwen3.7 Max has the number, $4.69.
Directional only
At a glance
- Coding index
- MiniMax M3.1 Flash 59.0 from 4 benchmarks, Qwen3.7 Max 54.1 from 3 benchmarks.
- Widest category
- Intelligence, 13.2 points apart on average over 1 shared benchmark.
- Widest single gap
- Vibe Code Bench (Vals AI): MiniMax M3.1 Flash 73.9% against Qwen3.7 Max 47.7%, 26.3 points apart on a 0 to 100 scale.
- Output price
- MiniMax M3.1 Flash $0.60 against Qwen3.7 Max $4.425 per million output tokens, 7.4x apart.
- Context window
- Both take 1M tokens.
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 M3.1 Flash | Bars | Qwen3.7 Max | Ties |
|---|---|---|---|---|
| Coding | 5 | 0 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 2 | 0 | ||
| Reasoning | 1 | 0 | ||
| General | 1 | 0 | ||
| All shared boards | 10 | 0 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index50
| Benchmark | MiniMax M3.1 Flash | Qwen3.7 Max | Leader |
|---|---|---|---|
| LiveBench coding | 83.9% | Not measured | Only MiniMax M3.1 Flash measured |
| LMArena WebDev | 1587 | 1515 | MiniMax M3.1 Flash |
| AA Coding Index | Not measured | 66.0 | Only Qwen3.7 Max measured |
| LiveCodeBench (Vals AI) | Not measured | 87.1% | Only Qwen3.7 Max measured |
| SWE-bench Verified (Vals AI) | Not measured | 68.8% | Only Qwen3.7 Max measured |
| Terminal-Bench 4 (Vals AI) | 25.3% | Not measured | Only MiniMax M3.1 Flash measured |
| Vibe Code Bench (Vals AI) | 73.9% | 47.7% | MiniMax M3.1 Flash |
| Code migration (Vals AI) | Not measured | 13.1% | Only Qwen3.7 Max measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 61.0% | Only Qwen3.7 Max measured |
| SciCode | 53.4% | 49.5% | MiniMax M3.1 Flash |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 50.8% | Only Qwen3.7 Max measured |
| ALE-Bench | Not measured | 1189.4 | Only Qwen3.7 Max measured |
| LMArena WebDev: React | 1609 | 1514 | MiniMax M3.1 Flash |
| LMArena WebDev: HTML | 1529 | 1512 | MiniMax M3.1 Flash |
| Neither model has a result on the other 29 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | MiniMax M3.1 Flash | Qwen3.7 Max | Leader |
|---|---|---|---|
| AA Intelligence Index | 42.7 | 29.5 | MiniMax M3.1 Flash |
| Epoch Capabilities Index | Not measured | 154.0 | Only Qwen3.7 Max measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | MiniMax M3.1 Flash | Qwen3.7 Max | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 22.5 | Only Qwen3.7 Max measured |
| Design Arena: agents building web apps | Not measured | 1208 | Only Qwen3.7 Max measured |
| Design Arena: agents building full-stack apps | Not measured | 1191 | Only Qwen3.7 Max measured |
| Design Arena: agents building mobile apps | Not measured | 1154 | Only Qwen3.7 Max measured |
| Design Arena: agents building Android apps | Not measured | 1159 | Only Qwen3.7 Max measured |
| Design Arena: agents building Godot games | Not measured | 1187 | Only Qwen3.7 Max measured |
| Design Arena: agents building games | Not measured | 1161 | Only Qwen3.7 Max measured |
| Design Arena: HTML slides | Not measured | 1098 | Only Qwen3.7 Max measured |
| Design Arena: PowerPoint slides | Not measured | 1169 | Only Qwen3.7 Max measured |
| LiveBench research | 72.7% | Not measured | Only MiniMax M3.1 Flash measured |
| LiveBench browser | 92.0% | Not measured | Only MiniMax M3.1 Flash measured |
| LiveBench long agentic | 34.7% | Not measured | Only MiniMax M3.1 Flash measured |
| Finance Agent (Vals AI) | Not measured | 47.8% | Only Qwen3.7 Max measured |
| Tax Agent Bench (Vals AI) | 32.1% | 15.8% | MiniMax M3.1 Flash |
| Legal Research Bench (Vals AI) | 34.1% | 25.5% | MiniMax M3.1 Flash |
| Harvey's Legal Agent Benchmark (Vals AI) | 7.5% | Not measured | Only MiniMax M3.1 Flash measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 57.0% | Only Qwen3.7 Max measured |
| τ²-Bench Telecom | Not measured | 94.7% | Only Qwen3.7 Max measured |
| Neither model has a result on the other 24 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | MiniMax M3.1 Flash | Qwen3.7 Max | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 90.2% | Only Qwen3.7 Max measured |
| LiveBench reasoning | 82.9% | Not measured | Only MiniMax M3.1 Flash measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 92.3% | Only Qwen3.7 Max measured |
| Humanity's Last Exam (Artificial Analysis run) | 48.0% | 40.5% | MiniMax M3.1 Flash |
| GPQA Diamond (Epoch AI run) | Not measured | 90.9% | Only Qwen3.7 Max measured |
| SimpleBench | Not measured | 70.4% | Only Qwen3.7 Max measured |
| Chess puzzles | Not measured | 26.0% | Only Qwen3.7 Max measured |
| Mystery game puzzles | Not measured | 32.0% | Only Qwen3.7 Max measured |
| EBR-bench | Not measured | 9.5% | Only Qwen3.7 Max measured |
| Neither model has a result on the other 14 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
| Benchmark | MiniMax M3.1 Flash | Qwen3.7 Max | Leader |
|---|---|---|---|
| OTIS Mock AIME | Not measured | 95.6% | Only Qwen3.7 Max measured |
| 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 | Not measured | 26.0% | Only Qwen3.7 Max measured |
| Neither model has a result on the other 10 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | MiniMax M3.1 Flash | Qwen3.7 Max | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 89.3% | Only Qwen3.7 Max measured |
| LegalBench (Vals AI) | Not measured | 84.9% | Only Qwen3.7 Max measured |
| CorpFin (Vals AI) | Not measured | 63.7% | Only Qwen3.7 Max measured |
| TaxEval (Vals AI) | Not measured | 75.3% | Only Qwen3.7 Max measured |
| MedCode (Vals AI) | Not measured | 38.8% | Only Qwen3.7 Max measured |
| SimpleQA Verified | Not measured | 55.8% | Only Qwen3.7 Max measured |
| Neither model has a result on the other 14 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
| Benchmark | MiniMax M3.1 Flash | Qwen3.7 Max | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1274 | Only Qwen3.7 Max measured |
| Design Arena: UI components | Not measured | 1267 | Only Qwen3.7 Max measured |
| Design Arena: game dev | Not measured | 1265 | Only Qwen3.7 Max measured |
| Design Arena: data viz | Not measured | 1276 | Only Qwen3.7 Max measured |
| Design Arena: 3D | Not measured | 1265 | Only Qwen3.7 Max measured |
| Design Arena: all code categories | Not measured | 1275 | Only Qwen3.7 Max measured |
| Design Arena: SVG | Not measured | 1216 | Only Qwen3.7 Max measured |
| Design Arena: ASCII art | Not measured | 1211 | Only Qwen3.7 Max measured |
| LiveBench design | 74.0% | Not measured | Only MiniMax M3.1 Flash measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | MiniMax M3.1 Flash | Qwen3.7 Max | Leader |
|---|---|---|---|
| Vals Index | 53.8% | Not measured | Only MiniMax M3.1 Flash measured |
| LiveBench data analysis | 71.4% | Not measured | Only MiniMax M3.1 Flash measured |
| MedScribe (Vals AI) | Not measured | 79.4% | Only Qwen3.7 Max measured |
| IFBench | Not measured | 80.5% | Only Qwen3.7 Max measured |
| Long context reasoning (AA-LCR) | 79.7% | 79.0% | MiniMax M3.1 Flash |
| DTBench | Not measured | 92.3% | Only Qwen3.7 Max measured |
| LMCA | Not measured | 44.0% | Only Qwen3.7 Max measured |
| EQ-Bench 4 | Not measured | 1110 | Only Qwen3.7 Max measured |
| Neither model has a result on the other 40 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | MiniMax M3.1 Flash | 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 M3.1 Flash costs less
Repository review
50K input + 3K output tokens
MiniMax M3.1 Flash costs less
Agent loop
200K input + 10K output tokens
MiniMax M3.1 Flash 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 M3.1 Flash | Qwen3.7 Max |
|---|---|---|
| Maker | MiniMax | Qwen |
| Weights | No public weights listed | No public weights listed |
| Released | October 19, 2026 | May 21, 2026 |
| Context window | 1M | 1M |
| Input $/Mtok | $0.15 | $1.475 |
| Output $/Mtok | $0.60 | $4.425 |
| Coding index | 59.0 | 54.1 |
| Independent measurements behind it | 4 | 3 |
| Cost per solved task | Not computable | $4.69 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is MiniMax M3.1 Flash better than Qwen3.7 Max for coding?
Pick MiniMax M3.1 Flash for coding: it scores 59.0 on the Vibe Coding Index against 54.1 for Qwen3.7 Max. Qwen3.7 Max is neither cheaper nor larger in context, and leads no benchmark both models were measured on.
Which is cheaper, MiniMax M3.1 Flash or Qwen3.7 Max?
MiniMax M3.1 Flash costs $0.15 per million input tokens and $0.60 per million output tokens; Qwen3.7 Max costs $1.475 and $4.425. Cost per solved task is known for Qwen3.7 Max only.
Which has the bigger context window, MiniMax M3.1 Flash or Qwen3.7 Max?
Neither: both take 1M tokens.
How many benchmarks is the MiniMax M3.1 Flash vs Qwen3.7 Max comparison based on?
10 benchmarks have a result for both models as of October 22, 2026. MiniMax M3.1 Flash's coding index rests on 4 independent benchmarks and Qwen3.7 Max's on 3. Where only one model has a result, the page says so instead of naming a winner.