Gemini 3.6 Flash vs MiniMax M3
Gemini 3.6 Flash leads MiniMax M3 on coding, 62.5 to 39.2 on the Vibe Coding Index, and MiniMax M3 costs 3.1x less per output token ($1.20 vs $3.75 per million). Updated October 22, 2026; 96 benchmarks have a result for both.
Gemini 3.6 Flash or MiniMax M3: which to pick
Pick Gemini 3.6 Flash for coding: it scores 62.5 on the Vibe Coding Index against 39.2 for MiniMax M3, though on 4 benchmarks against 6.
Pick MiniMax M3 for output tokens 3.1x cheaper ($1.20 vs $3.75 per million) and a lower cost per solved task ($0.56 against $1.49).
- Shared results
- 96
- Gemini 3.6 Flash only
- 13
- MiniMax M3 only
- 20
- 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
Gemini 3.6 Flash
Gemini 3.6 Flash scores 62.5 against 39.2.
4 and 6 benchmarks behind the scores
Intelligence
AA Intelligence Index
Gemini 3.6 Flash
Gemini 3.6 Flash leads, 34.0 against 29.2.
Same board, both measured
Agentic work
AA Agentic Index
MiniMax M3
MiniMax M3 leads, 29.5 against 29.0.
Same board, both measured
Reasoning
GPQA Diamond
Gemini 3.6 Flash
Gemini 3.6 Flash leads, 93.4% against 92.7%.
Same board, both measured
Knowledge
MMLU Pro
Gemini 3.6 Flash
Gemini 3.6 Flash leads, 89.3% against 84.2%.
Same board, both measured
Web design
Design Arena: websites
Gemini 3.6 Flash
Gemini 3.6 Flash leads, 1300 against 1257.
Same board, both measured
Long documents
Listed context window
No call
Both take 1.05M tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiniMax M3
Gemini 3.6 Flash $0.0026, MiniMax M3 $0.0009 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
MiniMax M3
Gemini 3.6 Flash $1.49, MiniMax M3 $0.56.
Published attempt cost and pass rate
At a glance
- Coding index
- Gemini 3.6 Flash 62.5 from 4 benchmarks, MiniMax M3 39.2 from 6 benchmarks.
- Widest category
- Math, 15.4 points apart on average over 4 shared benchmarks.
- Widest single gap
- FrontierCode: Gemini 3.6 Flash 34.4% against MiniMax M3 14.7%, 30.3 points apart on a 0 to 100 scale.
- Output price
- Gemini 3.6 Flash $3.75 against MiniMax M3 $1.20 per million output tokens, 3.1x apart.
- Context window
- Both take 1.05M 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 | Gemini 3.6 Flash | Bars | MiniMax M3 | Ties |
|---|---|---|---|---|
| Coding | 15 | 1 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 7 | 7 | ||
| Reasoning | 11 | 1 | ||
| Math | 4 | 0 | ||
| Knowledge | 8 | 2 | ||
| Web design | 7 | 0 | ||
| General | 27 | 4 | ||
| All shared boards | 81 | 15 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index151
| Benchmark | Gemini 3.6 Flash | MiniMax M3 | Leader |
|---|---|---|---|
| LiveBench coding | Not measured | 70.9% | Only MiniMax M3 measured |
| LMArena WebDev | 1538 | 1482 | Gemini 3.6 Flash |
| AA Coding Index | 69.2 | 58.6 | Gemini 3.6 Flash |
| LiveCodeBench (Vals AI) | 88.1% | 82.2% | Gemini 3.6 Flash |
| SWE-bench Verified (Vals AI) | 79.6% | 75.0% | Gemini 3.6 Flash |
| Terminal-Bench 4 (Vals AI) | Not measured | 1.0% | Only MiniMax M3 measured |
| Vibe Code Bench (Vals AI) | 64.0% | 47.6% | Gemini 3.6 Flash |
| Code migration (Vals AI) | 30.9% | 19.9% | Gemini 3.6 Flash |
| ProgramBench (Vals AI) | 0.0% | Not measured | Only Gemini 3.6 Flash measured |
| IOI (Vals AI) | 35.1% | Not measured | Only Gemini 3.6 Flash measured |
| Terminal-Bench 2.1 (Vals AI) | 73.8% | 53.6% | Gemini 3.6 Flash |
| 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) | 45.4% | 65.0% | MiniMax M3 |
| SciCode | 53.4% | 47.1% | Gemini 3.6 Flash |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 42.4% | Only MiniMax M3 measured |
| FrontierCode | 34.4% | 14.7% | Gemini 3.6 Flash |
| WeirdML | 56.1% | Not measured | Only Gemini 3.6 Flash measured |
| ALE-Bench | 715.5 | 640.0 | Gemini 3.6 Flash |
| LMArena Text: coding | 1491 | 1470 | Gemini 3.6 Flash |
| LMArena Text: software and IT | 1492 | 1466 | Gemini 3.6 Flash |
| LMArena WebDev: React | 1528 | 1478 | Gemini 3.6 Flash |
| LMArena WebDev: HTML | 1547 | 1455 | Gemini 3.6 Flash |
| LMArena WebDev: from an image | 1545 | 1470 | Gemini 3.6 Flash |
| SciCode | 10.8% | Not measured | Only Gemini 3.6 Flash measured |
| Neither model has a result on the other 13 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Gemini 3.6 Flash | MiniMax M3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 34.0 | 29.2 | Gemini 3.6 Flash |
| Epoch Capabilities Index | 154.5 | 146.9 | Gemini 3.6 Flash |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index77
| Benchmark | Gemini 3.6 Flash | MiniMax M3 | Leader |
|---|---|---|---|
| AA Agentic Index | 29.0 | 29.5 | MiniMax M3 |
| Design Arena: agents building web apps | 1197 | 1200 | MiniMax M3 |
| Design Arena: agents building full-stack apps | 1181 | 1197 | MiniMax M3 |
| Design Arena: agents building mobile apps | 1198 | 1169 | Gemini 3.6 Flash |
| Design Arena: agents building Android apps | 1204 | 1159 | Gemini 3.6 Flash |
| Design Arena: agents building games | 1180 | 1158 | Gemini 3.6 Flash |
| Design Arena: HTML slides | 1099 | 1130 | MiniMax M3 |
| Design Arena: PowerPoint slides | 1121 | 1181 | MiniMax M3 |
| Design Arena: spreadsheets | 1071 | 1028 | Gemini 3.6 Flash |
| 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) | 56.3% | 48.3% | Gemini 3.6 Flash |
| Tax Agent Bench (Vals AI) | 18.0% | 20.6% | MiniMax M3 |
| Legal Research Bench (Vals AI) | 25.0% | 29.8% | MiniMax M3 |
| Excel Modeling Benchmark (Vals AI) | 65.4% | 47.8% | Gemini 3.6 Flash |
| BioMysteryBench (Vals AI) | 58.5% | Not measured | Only Gemini 3.6 Flash measured |
| Terminal-Bench-Science (Vals AI) | 4.3% | Not measured | Only Gemini 3.6 Flash measured |
| τ²-Bench Telecom | Not measured | 88.9% | Only MiniMax M3 measured |
| APEX-Agents | 46.9% | 37.7% | Gemini 3.6 Flash |
| OSWorld 2.0 | Not measured | 4.6% | Only MiniMax M3 measured |
| Vending-Bench 2 | Not measured | $2,158 | Only MiniMax M3 measured |
| Neither model has a result on the other 19 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index111
| Benchmark | Gemini 3.6 Flash | MiniMax M3 | Leader |
|---|---|---|---|
| GPQA Diamond | 93.4% | 92.7% | Gemini 3.6 Flash |
| LiveBench reasoning | Not measured | 74.5% | Only MiniMax M3 measured |
| MMMU Pro (Vals AI) | 88.4% | 81.2% | Gemini 3.6 Flash |
| GPQA Diamond (Artificial Analysis run) | 92.8% | 92.9% | MiniMax M3 |
| Humanity's Last Exam (Artificial Analysis run) | 40.8% | 39.0% | Gemini 3.6 Flash |
| GPQA Diamond (Epoch AI run) | 94.1% | 90.9% | Gemini 3.6 Flash |
| ARC-AGI | 91.2% | Not measured | Only Gemini 3.6 Flash measured |
| ARC-AGI-2 | 60.4% | Not measured | Only Gemini 3.6 Flash measured |
| SimpleBench | Not measured | 45.8% | Only MiniMax M3 measured |
| Chess puzzles | 42.0% | 13.0% | Gemini 3.6 Flash |
| Mystery game puzzles | 30.0% | 8.0% | Gemini 3.6 Flash |
| LMArena Text: hard prompts | 1486 | 1447 | Gemini 3.6 Flash |
| LMArena Text: expert | 1490 | 1461 | Gemini 3.6 Flash |
| LMArena Text: hard prompts in English | 1484 | 1455 | Gemini 3.6 Flash |
| LMArena Vision: diagrams | 1314 | 1266 | Gemini 3.6 Flash |
| LMArena Vision: homework | 1314 | 1268 | Gemini 3.6 Flash |
| Neither model has a result on the other 6 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Gemini 3.6 Flash | MiniMax M3 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 94.2% | 71.1% | Gemini 3.6 Flash |
| FrontierMath, tiers 1 to 3 | 58.9% | Not measured | Only Gemini 3.6 Flash measured |
| FrontierMath, tier 4 | 22.0% | Not measured | Only Gemini 3.6 Flash measured |
| ProofBench | 36.0% | 18.0% | Gemini 3.6 Flash |
| LMArena Text: math | 1508 | 1429 | Gemini 3.6 Flash |
| LMArena Text: mathematical work | 1492 | 1448 | Gemini 3.6 Flash |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index82
| Benchmark | Gemini 3.6 Flash | MiniMax M3 | Leader |
|---|---|---|---|
| MMLU Pro | 89.3% | 84.2% | Gemini 3.6 Flash |
| LegalBench (Vals AI) | 86.7% | 85.4% | Gemini 3.6 Flash |
| CorpFin (Vals AI) | 63.3% | 68.1% | MiniMax M3 |
| TaxEval (Vals AI) | 74.9% | 72.7% | Gemini 3.6 Flash |
| MortgageTax (Vals AI) | 67.6% | 68.4% | MiniMax M3 |
| MedCode (Vals AI) | 53.1% | 46.3% | Gemini 3.6 Flash |
| SimpleQA Verified | 66.2% | Not measured | Only Gemini 3.6 Flash measured |
| LMArena Text: science | 1489 | 1452 | Gemini 3.6 Flash |
| LMArena Text: medicine and healthcare | 1469 | 1441 | Gemini 3.6 Flash |
| LMArena Text: legal and government | 1479 | 1437 | Gemini 3.6 Flash |
| LMArena Text: business and finance | 1464 | 1434 | Gemini 3.6 Flash |
| FACTS Benchmark Suite | 65.3% | Not measured | Only Gemini 3.6 Flash measured |
| Neither model has a result on the other 6 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index70
| Benchmark | Gemini 3.6 Flash | MiniMax M3 | Leader |
|---|---|---|---|
| Design Arena: websites | 1300 | 1257 | Gemini 3.6 Flash |
| Design Arena: UI components | 1294 | 1242 | Gemini 3.6 Flash |
| Design Arena: game dev | 1263 | 1210 | Gemini 3.6 Flash |
| Design Arena: data viz | 1289 | 1236 | Gemini 3.6 Flash |
| Design Arena: 3D | 1271 | 1208 | Gemini 3.6 Flash |
| Design Arena: all code categories | 1289 | 1247 | Gemini 3.6 Flash |
| Design Arena: SVG | Not measured | 1161 | Only MiniMax M3 measured |
| Design Arena: ASCII art | 1281 | 1161 | Gemini 3.6 Flash |
| LiveBench design | Not measured | 66.2% | Only MiniMax M3 measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index274
| Benchmark | Gemini 3.6 Flash | MiniMax M3 | Leader |
|---|---|---|---|
| LiveBench data analysis | Not measured | 76.2% | Only MiniMax M3 measured |
| Public Benefits Bench (Vals AI) | 56.6% | 64.1% | MiniMax M3 |
| SAGE (Vals AI) | 48.7% | 50.6% | MiniMax M3 |
| MedScribe (Vals AI) | 79.7% | 87.3% | MiniMax M3 |
| Vals Multimodal Index | 65.1% | 60.0% | Gemini 3.6 Flash |
| IFBench | Not measured | 82.9% | Only MiniMax M3 measured |
| Long context reasoning (AA-LCR) | 80.0% | 83.0% | MiniMax M3 |
| DTBench | 95.5% | 78.9% | Gemini 3.6 Flash |
| LMCA | 44.9% | 33.7% | Gemini 3.6 Flash |
| Surface Evolver Bench | Not measured | 55.0% | Only MiniMax M3 measured |
| Furniture assembly | 23.3% | Not measured | Only Gemini 3.6 Flash measured |
| LMArena Text | 1480 | 1433 | Gemini 3.6 Flash |
| LMArena Text: instruction following | 1467 | 1433 | Gemini 3.6 Flash |
| LMArena Text: creative writing | 1466 | 1404 | Gemini 3.6 Flash |
| LMArena Vision | 1299 | 1251 | Gemini 3.6 Flash |
| LMArena Text: English | 1482 | 1443 | Gemini 3.6 Flash |
| LMArena Text: non-English | 1470 | 1420 | Gemini 3.6 Flash |
| LMArena Text: Chinese | 1531 | 1466 | Gemini 3.6 Flash |
| LMArena Text: German | 1480 | 1428 | Gemini 3.6 Flash |
| LMArena Text: Japanese | 1475 | 1380 | Gemini 3.6 Flash |
| LMArena Text: Korean | 1429 | 1373 | Gemini 3.6 Flash |
| LMArena Text: French | 1503 | 1444 | Gemini 3.6 Flash |
| LMArena Text: Spanish | 1476 | 1433 | Gemini 3.6 Flash |
| LMArena Text: Russian | 1488 | 1426 | Gemini 3.6 Flash |
| LMArena Text: Polish | 1473 | 1423 | Gemini 3.6 Flash |
| LMArena Text: multi-turn | 1481 | 1443 | Gemini 3.6 Flash |
| LMArena Text: longer queries | 1475 | 1446 | Gemini 3.6 Flash |
| LMArena Text: writing and language | 1470 | 1419 | Gemini 3.6 Flash |
| LMArena Text: entertainment and media | 1456 | 1403 | Gemini 3.6 Flash |
| LMArena Vision: English | 1295 | 1263 | Gemini 3.6 Flash |
| LMArena Vision: Chinese | 1357 | 1311 | Gemini 3.6 Flash |
| LMArena Vision: reading text | 1312 | 1259 | Gemini 3.6 Flash |
| LMArena Vision: humor | 1289 | 1235 | Gemini 3.6 Flash |
| LMArena Vision: recognizing things | Not measured | 1197 | Only MiniMax M3 measured |
| LMArena Vision: creative writing | 1278 | 1234 | Gemini 3.6 Flash |
| LMArena Document | 1456 | 1435 | Gemini 3.6 Flash |
| 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 | Gemini 3.6 Flash | 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 | Google Gemini 3.6 Flash | MiniMax M3 |
|---|---|---|
| Maker | MiniMax | |
| Weights | No public weights listed | Open weights |
| Released | July 21, 2026 | May 31, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $0.75 | $0.30 |
| Output $/Mtok | $3.75 | $1.20 |
| Coding index | 62.5 | 39.2 |
| Independent measurements behind it | 4 | 6 |
| Cost per solved task | $1.49 | $0.56 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 3.6 Flash better than MiniMax M3 for coding?
Pick Gemini 3.6 Flash for coding: it scores 62.5 on the Vibe Coding Index against 39.2 for MiniMax M3, though on 4 benchmarks against 6. Pick MiniMax M3 for output tokens 3.1x cheaper ($1.20 vs $3.75 per million) and a lower cost per solved task ($0.56 against $1.49).
Which is cheaper, Gemini 3.6 Flash or MiniMax M3?
Gemini 3.6 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; MiniMax M3 costs $0.30 and $1.20. Per solved SWE-bench Verified task, Gemini 3.6 Flash costs $1.49 and MiniMax M3 $0.56.
Which has the bigger context window, Gemini 3.6 Flash or MiniMax M3?
Neither: both take 1.05M tokens.
How many benchmarks is the Gemini 3.6 Flash vs MiniMax M3 comparison based on?
96 benchmarks have a result for both models as of October 22, 2026. Gemini 3.6 Flash's coding index rests on 4 independent benchmarks and MiniMax M3's on 6. Where only one model has a result, the page says so instead of naming a winner.