Gemini 4 Argon vs MiniMax M3
Updated October 21, 2026. 72 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick Gemini 4 Argon for coding: it scores 80.5 on the Vibe Coding Index against 57.8 for MiniMax M3.
Pick MiniMax M3 when output tokens cost 8.3x less, or when the benchmark that matters is Long context reasoning (AA-LCR), where it leads.
- Shared results
- 72
- Gemini 4 Argon only
- 20
- MiniMax M3 only
- 44
- 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
Gemini 4 Argon
Gemini 4 Argon scores 80.5 against 57.8.
2 benchmarks behind each score
Intelligence
AA Intelligence Index
Gemini 4 Argon
Gemini 4 Argon leads, 52.6 against 29.2.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only MiniMax M3 has a AA Agentic Index result, 29.5.
Directional only
Reasoning
GPQA Diamond
No call
Only MiniMax M3 has a GPQA Diamond result, 92.7%.
Directional only
Knowledge
MMLU Pro
No call
Only MiniMax M3 has a MMLU Pro result, 84.2%.
Directional only
Web design
Design Arena: websites
Gemini 4 Argon
Gemini 4 Argon leads, 1315 against 1257.
Same board, both measured
General
Vals Index
No call
Only Gemini 4 Argon has a Vals Index result, 69.2%.
Directional only
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 4 Argon $0.0070, MiniMax M3 $0.0009 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only MiniMax M3 has the number, $0.56.
Directional only
At a glance
- Coding index
- Gemini 4 Argon 80.5 from 2 benchmarks, MiniMax M3 57.8 from 2 benchmarks.
- Widest category
- Agentic work, 38.3 points apart on average over 10 shared benchmarks.
- Widest single gap
- LiveBench browser: Gemini 4 Argon 92.0% against MiniMax M3 8.0%, 84.0 points apart on a 0 to 100 scale.
- Output price
- Gemini 4 Argon $10.00 against MiniMax M3 $1.20 per million output tokens, 8.3x 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 4 Argon | Bars | MiniMax M3 | Ties |
|---|---|---|---|---|
| Coding | 16 | 0 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 10 | 0 | ||
| Reasoning | 8 | 0 | ||
| Math | 4 | 0 | ||
| Knowledge | 6 | 0 | ||
| Web design | 7 | 0 | ||
| General | 18 | 1 | ||
| All shared boards | 71 | 1 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index160
| Benchmark | Gemini 4 Argon | MiniMax M3 | Leader |
|---|---|---|---|
| LiveBench coding | 89.7% | 70.9% | Gemini 4 Argon |
| LMArena WebDev | 1678 | 1482 | Gemini 4 Argon |
| AA Coding Index | Not measured | 58.6 | Only MiniMax M3 measured |
| LiveCodeBench (Vals AI) | Not measured | 82.2% | Only MiniMax M3 measured |
| SWE-bench Verified (Vals AI) | Not measured | 75.0% | Only MiniMax M3 measured |
| Terminal-Bench 4 (Vals AI) | 57.6% | 1.0% | Gemini 4 Argon |
| Vibe Code Bench (Vals AI) | 91.9% | 47.6% | Gemini 4 Argon |
| Code migration (Vals AI) | 68.2% | 19.9% | Gemini 4 Argon |
| ProgramBench (Vals AI) | 2.5% | Not measured | Only Gemini 4 Argon measured |
| IOI (Vals AI) | 100.0% | Not measured | Only Gemini 4 Argon measured |
| Terminal-Bench 2.1 (Vals AI) | 57.7% | 53.6% | Gemini 4 Argon |
| SWE-bench Multimodal (Vals AI) | 56.0% | 33.3% | Gemini 4 Argon |
| Vibe Code Bench 1-100 (Vals AI) | 21.2% | 9.2% | Gemini 4 Argon |
| SkillsBench (Vals AI) | Not measured | 51.5% | Only MiniMax M3 measured |
| CyberBench (Vals AI) | 77.9% | 65.0% | Gemini 4 Argon |
| SciCode | 61.8% | 47.1% | Gemini 4 Argon |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 42.4% | Only MiniMax M3 measured |
| FrontierCode | 47.5% | 14.7% | Gemini 4 Argon |
| FrontierSWE | 55.0% | Not measured | Only Gemini 4 Argon measured |
| ALE-Bench | 2100.1 | 640.0 | Gemini 4 Argon |
| LMArena Text: coding | 1546 | 1470 | Gemini 4 Argon |
| LMArena Text: software and IT | 1556 | 1466 | Gemini 4 Argon |
| LMArena WebDev: React | 1692 | 1478 | Gemini 4 Argon |
| LMArena WebDev: HTML | 1643 | 1455 | Gemini 4 Argon |
| LMArena WebDev: from an image | Not measured | 1470 | Only MiniMax M3 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 4 Argon | MiniMax M3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 52.6 | 29.2 | Gemini 4 Argon |
| Epoch Capabilities Index | 166.4 | 146.9 | Gemini 4 Argon |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index100
| Benchmark | Gemini 4 Argon | MiniMax M3 | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 29.5 | Only MiniMax M3 measured |
| Design Arena: agents building web apps | Not measured | 1200 | Only MiniMax M3 measured |
| Design Arena: agents building full-stack apps | Not measured | 1197 | Only MiniMax M3 measured |
| Design Arena: agents building mobile apps | Not measured | 1169 | Only MiniMax M3 measured |
| Design Arena: agents building Android apps | Not measured | 1164 | Only MiniMax M3 measured |
| Design Arena: agents building games | Not measured | 1158 | Only MiniMax M3 measured |
| Design Arena: HTML slides | Not measured | 1180 | Only MiniMax M3 measured |
| Design Arena: PowerPoint slides | Not measured | 1205 | Only MiniMax M3 measured |
| Design Arena: spreadsheets | 1151 | 1021 | Gemini 4 Argon |
| LiveBench research | 83.1% | 68.0% | Gemini 4 Argon |
| LiveBench browser | 92.0% | 8.0% | Gemini 4 Argon |
| LiveBench long agentic | 69.9% | 12.4% | Gemini 4 Argon |
| SREBench (Vals AI) | 44.3% | Not measured | Only Gemini 4 Argon measured |
| Finance Agent (Vals AI) | 65.4% | 48.3% | Gemini 4 Argon |
| Tax Agent Bench (Vals AI) | 44.6% | 20.6% | Gemini 4 Argon |
| Legal Research Bench (Vals AI) | 54.8% | 29.8% | Gemini 4 Argon |
| Harvey's Legal Agent Benchmark (Vals AI) | 27.1% | Not measured | Only Gemini 4 Argon measured |
| Excel Modeling Benchmark (Vals AI) | 75.2% | 47.8% | Gemini 4 Argon |
| BioMysteryBench (Vals AI) | 76.3% | Not measured | Only Gemini 4 Argon measured |
| Terminal-Bench-Science (Vals AI) | 44.3% | Not measured | Only Gemini 4 Argon measured |
| Vals Science Index | 55.4% | Not measured | Only Gemini 4 Argon measured |
| Time Horizon Index (Vals AI) | 52.5% | Not measured | Only Gemini 4 Argon measured |
| CUA-bench (Vals AI) | 4.8% | Not measured | Only Gemini 4 Argon measured |
| Robo-bench (Vals AI) | 0.8% | Not measured | Only Gemini 4 Argon measured |
| τ²-Bench Telecom | Not measured | 88.9% | Only MiniMax M3 measured |
| APEX-Agents | 82.4% | 37.7% | Gemini 4 Argon |
| OSWorld 2.0 | Not measured | 4.6% | Only MiniMax M3 measured |
| Vending-Bench 2 | $13,718 | $2,158 | Gemini 4 Argon |
| Neither model has a result on the other 11 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index80
| Benchmark | Gemini 4 Argon | MiniMax M3 | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 92.7% | Only MiniMax M3 measured |
| LiveBench reasoning | 95.1% | 74.5% | Gemini 4 Argon |
| MysteryMechanism (Vals AI) | 45.5% | Not measured | Only Gemini 4 Argon measured |
| MMMU Pro (Vals AI) | Not measured | 81.2% | Only MiniMax M3 measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 92.9% | Only MiniMax M3 measured |
| Humanity's Last Exam (Artificial Analysis run) | 57.1% | 39.0% | Gemini 4 Argon |
| GPQA Diamond (Epoch AI run) | 96.4% | 90.9% | Gemini 4 Argon |
| ARC-AGI | 98.5% | Not measured | Only Gemini 4 Argon measured |
| ARC-AGI-2 | 91.3% | Not measured | Only Gemini 4 Argon measured |
| SimpleBench | Not measured | 45.8% | Only MiniMax M3 measured |
| Chess puzzles | 59.0% | 13.0% | Gemini 4 Argon |
| Mystery game puzzles | 64.0% | 8.0% | Gemini 4 Argon |
| EBR-bench | 64.8% | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: hard prompts | 1546 | 1447 | Gemini 4 Argon |
| LMArena Text: expert | 1550 | 1461 | Gemini 4 Argon |
| LMArena Text: hard prompts in English | 1548 | 1455 | Gemini 4 Argon |
| LMArena Vision: diagrams | Not measured | 1266 | Only MiniMax M3 measured |
| LMArena Vision: homework | Not measured | 1268 | Only MiniMax M3 measured |
| Neither model has a result on the other 3 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Gemini 4 Argon | MiniMax M3 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 100.0% | 71.1% | Gemini 4 Argon |
| FrontierMath, tiers 1 to 3 | 86.0% | Not measured | Only Gemini 4 Argon measured |
| FrontierMath, tier 4 | 78.0% | Not measured | Only Gemini 4 Argon measured |
| ProofBench | 99.0% | 18.0% | Gemini 4 Argon |
| LMArena Text: math | 1536 | 1429 | Gemini 4 Argon |
| LMArena Text: mathematical work | 1557 | 1448 | Gemini 4 Argon |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Gemini 4 Argon | MiniMax M3 | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 84.2% | Only MiniMax M3 measured |
| LegalBench (Vals AI) | 88.3% | 85.4% | Gemini 4 Argon |
| CorpFin (Vals AI) | Not measured | 68.1% | Only MiniMax M3 measured |
| TaxEval (Vals AI) | Not measured | 72.7% | Only MiniMax M3 measured |
| MortgageTax (Vals AI) | Not measured | 68.4% | Only MiniMax M3 measured |
| MedCode (Vals AI) | 58.8% | 46.3% | Gemini 4 Argon |
| SimpleQA Verified | 76.0% | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: science | 1548 | 1452 | Gemini 4 Argon |
| LMArena Text: medicine and healthcare | 1555 | 1441 | Gemini 4 Argon |
| LMArena Text: legal and government | 1548 | 1437 | Gemini 4 Argon |
| LMArena Text: business and finance | 1525 | 1434 | Gemini 4 Argon |
| 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 4 Argon | MiniMax M3 | Leader |
|---|---|---|---|
| Design Arena: websites | 1315 | 1257 | Gemini 4 Argon |
| Design Arena: UI components | 1333 | 1246 | Gemini 4 Argon |
| Design Arena: game dev | 1377 | 1210 | Gemini 4 Argon |
| Design Arena: data viz | 1334 | 1235 | Gemini 4 Argon |
| Design Arena: 3D | 1389 | 1209 | Gemini 4 Argon |
| Design Arena: all code categories | 1328 | 1247 | Gemini 4 Argon |
| Design Arena: SVG | Not measured | 1161 | Only MiniMax M3 measured |
| Design Arena: ASCII art | Not measured | 1161 | Only MiniMax M3 measured |
| LiveBench design | 73.7% | 66.2% | Gemini 4 Argon |
GeneralLike-for-likePublic boards, shown as published, kept out of the index181
| Benchmark | Gemini 4 Argon | MiniMax M3 | Leader |
|---|---|---|---|
| Vals Index | 69.2% | Not measured | Only Gemini 4 Argon measured |
| LiveBench data analysis | 85.2% | 76.2% | Gemini 4 Argon |
| Public Benefits Bench (Vals AI) | 69.8% | 64.1% | Gemini 4 Argon |
| SAGE (Vals AI) | 53.6% | 50.6% | Gemini 4 Argon |
| MedScribe (Vals AI) | 87.4% | 87.3% | Gemini 4 Argon |
| Vals Multimodal Index | Not measured | 60.0% | Only MiniMax M3 measured |
| IFBench | Not measured | 82.9% | Only MiniMax M3 measured |
| Long context reasoning (AA-LCR) | 79.7% | 83.0% | MiniMax M3 |
| DTBench | 97.6% | 78.9% | Gemini 4 Argon |
| LMCA | 63.7% | 33.7% | Gemini 4 Argon |
| Surface Evolver Bench | Not measured | 55.0% | Only MiniMax M3 measured |
| Furniture assembly | 72.5% | Not measured | Only Gemini 4 Argon measured |
| LMArena Text | 1532 | 1433 | Gemini 4 Argon |
| LMArena Text: instruction following | 1534 | 1433 | Gemini 4 Argon |
| LMArena Text: creative writing | 1527 | 1404 | Gemini 4 Argon |
| LMArena Vision | Not measured | 1251 | Only MiniMax M3 measured |
| LMArena Text: English | 1538 | 1443 | Gemini 4 Argon |
| LMArena Text: non-English | 1522 | 1420 | Gemini 4 Argon |
| LMArena Text: Chinese | 1611 | 1466 | Gemini 4 Argon |
| LMArena Text: German | Not measured | 1428 | Only MiniMax M3 measured |
| LMArena Text: Japanese | Not measured | 1380 | Only MiniMax M3 measured |
| LMArena Text: Korean | Not measured | 1373 | Only MiniMax M3 measured |
| LMArena Text: French | Not measured | 1444 | Only MiniMax M3 measured |
| LMArena Text: Spanish | 1503 | 1433 | Gemini 4 Argon |
| LMArena Text: Russian | 1534 | 1426 | Gemini 4 Argon |
| LMArena Text: Polish | Not measured | 1423 | Only MiniMax M3 measured |
| LMArena Text: multi-turn | 1556 | 1443 | Gemini 4 Argon |
| LMArena Text: longer queries | 1547 | 1446 | Gemini 4 Argon |
| LMArena Text: writing and language | 1529 | 1419 | Gemini 4 Argon |
| LMArena Text: entertainment and media | 1527 | 1403 | Gemini 4 Argon |
| LMArena Vision: English | Not measured | 1263 | Only MiniMax M3 measured |
| LMArena Vision: Chinese | Not measured | 1311 | Only MiniMax M3 measured |
| LMArena Vision: reading text | Not measured | 1259 | Only MiniMax M3 measured |
| LMArena Vision: humor | Not measured | 1235 | Only MiniMax M3 measured |
| LMArena Vision: recognizing things | Not measured | 1197 | Only MiniMax M3 measured |
| LMArena Vision: creative writing | Not measured | 1234 | Only MiniMax M3 measured |
| LMArena Document | Not measured | 1435 | Only MiniMax M3 measured |
| Neither model has a result on the other 9 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 4 Argon | 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 4 Argon | MiniMax M3 |
|---|---|---|
| Maker | MiniMax | |
| Weights | No public weights listed | Open weights |
| Released | October 13, 2026 | May 31, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $2.00 | $0.30 |
| Output $/Mtok | $10.00 | $1.20 |
| Coding index | 80.5 | 57.8 |
| Independent measurements behind it | 2 | 2 |
| Cost per solved task | Not computable | $0.56 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 4 Argon better than MiniMax M3 for coding?
Pick Gemini 4 Argon for coding: it scores 80.5 on the Vibe Coding Index against 57.8 for MiniMax M3. Pick MiniMax M3 when output tokens cost 8.3x less, or when the benchmark that matters is Long context reasoning (AA-LCR), where it leads.
Which is cheaper, Gemini 4 Argon or MiniMax M3?
Gemini 4 Argon costs $2.00 per million input tokens and $10.00 per million output tokens; MiniMax M3 costs $0.30 and $1.20. Cost per solved task is known for MiniMax M3 only.
Which has the bigger context window, Gemini 4 Argon or MiniMax M3?
Neither: both take 1.05M tokens.
How many benchmarks is the Gemini 4 Argon vs MiniMax M3 comparison based on?
72 benchmarks have a result for both models as of October 21, 2026. Gemini 4 Argon's coding index rests on 2 independent benchmarks and MiniMax M3's on 2. Where only one model has a result, the page says so instead of naming a winner.