Gemini 4 Argon vs MiMo-V2.6-Flash
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 Gemini 4 Argon for coding: it scores 80.5 on the Vibe Coding Index against 61.9 for MiMo-V2.6-Flash.
Pick MiMo-V2.6-Flash when output tokens cost 35.7x less, or when the context window is larger, 1.05M against 1.05M tokens.
- Shared results
- 54
- Gemini 4 Argon only
- 38
- MiMo-V2.6-Flash only
- 12
- Like-for-like categories
- 7 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 61.9.
2 and 1 benchmarks behind the scores
Intelligence
AA Intelligence Index
Gemini 4 Argon
Gemini 4 Argon leads, 52.6 against 37.9.
Same board, both measured
Web design
Design Arena: websites
No call
Only Gemini 4 Argon has a Design Arena: websites result, 1315.
Directional only
General
Vals Index
Gemini 4 Argon
Gemini 4 Argon leads, 69.2% against 54.8%.
Same board, both measured
Long documents
Listed context window
MiMo-V2.6-Flash
MiMo-V2.6-Flash takes 1.05M tokens against 1.05M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiMo-V2.6-Flash
Gemini 4 Argon $0.0070, MiMo-V2.6-Flash $0.0003 per turn.
List prices
At a glance
- Coding index
- Gemini 4 Argon 80.5 from 2 benchmarks, MiMo-V2.6-Flash 61.9 from 1 benchmark.
- Widest category
- Math, 19.7 points apart on average over 3 shared benchmarks.
- Widest single gap
- IOI (Vals AI): Gemini 4 Argon 100.0% against MiMo-V2.6-Flash 47.7%, 52.3 points apart on a 0 to 100 scale.
- Output price
- Gemini 4 Argon $10.00 against MiMo-V2.6-Flash $0.28 per million output tokens, 35.7x apart.
- Context window
- Gemini 4 Argon takes 1.05M tokens, MiMo-V2.6-Flash 1.05M.
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 | MiMo-V2.6-Flash | Ties |
|---|---|---|---|---|
| Coding | 13 | 1 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 9 | 0 | ||
| Reasoning | 5 | 0 | ||
| Math | 3 | 0 | ||
| Knowledge | 5 | 0 | ||
| General | 17 | 0 | ||
| All shared boards | 53 | 1 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index131
| Benchmark | Gemini 4 Argon | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| LiveBench coding | 89.7% | Not measured | Only Gemini 4 Argon measured |
| LMArena WebDev | 1678 | 1634 | Gemini 4 Argon |
| Terminal-Bench 4 (Vals AI) | 57.6% | 24.2% | Gemini 4 Argon |
| Vibe Code Bench (Vals AI) | 91.9% | 79.0% | Gemini 4 Argon |
| Code migration (Vals AI) | 68.2% | 40.9% | Gemini 4 Argon |
| ProgramBench (Vals AI) | 2.5% | 0.5% | Gemini 4 Argon |
| IOI (Vals AI) | 100.0% | 47.7% | Gemini 4 Argon |
| Terminal-Bench 2.1 (Vals AI) | 57.7% | 76.4% | MiMo-V2.6-Flash |
| SWE-bench Multimodal (Vals AI) | 56.0% | Not measured | Only Gemini 4 Argon measured |
| Vibe Code Bench 1-100 (Vals AI) | 21.2% | Not measured | Only Gemini 4 Argon measured |
| CyberBench (Vals AI) | 77.9% | 75.4% | Gemini 4 Argon |
| SciCode | 61.8% | 51.3% | Gemini 4 Argon |
| FrontierCode | 47.5% | Not measured | Only Gemini 4 Argon measured |
| FrontierSWE | 55.0% | Not measured | Only Gemini 4 Argon measured |
| ALE-Bench | 2100.1 | 1244.2 | Gemini 4 Argon |
| LMArena Text: coding | 1546 | 1499 | Gemini 4 Argon |
| LMArena Text: software and IT | 1556 | 1497 | Gemini 4 Argon |
| LMArena WebDev: React | 1692 | 1648 | Gemini 4 Argon |
| LMArena WebDev: HTML | 1643 | 1641 | Gemini 4 Argon |
| LMArena WebDev: from an image | Not measured | 1596 | Only MiMo-V2.6-Flash measured |
| Neither model has a result on the other 18 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Gemini 4 Argon | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| AA Intelligence Index | 52.6 | 37.9 | Gemini 4 Argon |
| Epoch Capabilities Index | 166.4 | Not measured | Only Gemini 4 Argon measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index90
| Benchmark | Gemini 4 Argon | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| Design Arena: spreadsheets | 1151 | Not measured | Only Gemini 4 Argon measured |
| LiveBench research | 83.1% | Not measured | Only Gemini 4 Argon measured |
| LiveBench browser | 92.0% | Not measured | Only Gemini 4 Argon measured |
| LiveBench long agentic | 69.9% | Not measured | Only Gemini 4 Argon measured |
| SREBench (Vals AI) | 44.3% | 4.2% | Gemini 4 Argon |
| Finance Agent (Vals AI) | 65.4% | 56.3% | Gemini 4 Argon |
| Tax Agent Bench (Vals AI) | 44.6% | 28.5% | Gemini 4 Argon |
| Legal Research Bench (Vals AI) | 54.8% | 38.0% | Gemini 4 Argon |
| Harvey's Legal Agent Benchmark (Vals AI) | 27.1% | 13.3% | Gemini 4 Argon |
| Excel Modeling Benchmark (Vals AI) | 75.2% | 65.5% | Gemini 4 Argon |
| BioMysteryBench (Vals AI) | 76.3% | 69.3% | Gemini 4 Argon |
| Terminal-Bench-Science (Vals AI) | 44.3% | 4.3% | Gemini 4 Argon |
| Vals Science Index | 55.4% | 31.7% | Gemini 4 Argon |
| 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 |
| APEX-Agents | 82.4% | Not measured | Only Gemini 4 Argon measured |
| Vending-Bench 2 | $13,718 | Not measured | Only Gemini 4 Argon measured |
| Neither model has a result on the other 21 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Gemini 4 Argon | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| LiveBench reasoning | 95.1% | Not measured | Only Gemini 4 Argon measured |
| MysteryMechanism (Vals AI) | 45.5% | 21.6% | Gemini 4 Argon |
| Humanity's Last Exam (Artificial Analysis run) | 57.1% | 35.1% | Gemini 4 Argon |
| GPQA Diamond (Epoch AI run) | 96.4% | Not measured | Only Gemini 4 Argon measured |
| ARC-AGI | 98.5% | Not measured | Only Gemini 4 Argon measured |
| ARC-AGI-2 | 91.3% | Not measured | Only Gemini 4 Argon measured |
| Chess puzzles | 59.0% | Not measured | Only Gemini 4 Argon measured |
| Mystery game puzzles | 64.0% | Not measured | Only Gemini 4 Argon measured |
| EBR-bench | 64.8% | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: hard prompts | 1546 | 1475 | Gemini 4 Argon |
| LMArena Text: expert | 1550 | 1496 | Gemini 4 Argon |
| LMArena Text: hard prompts in English | 1548 | 1493 | Gemini 4 Argon |
| LMArena Vision: diagrams | Not measured | 1276 | Only MiMo-V2.6-Flash measured |
| LMArena Vision: homework | Not measured | 1283 | Only MiMo-V2.6-Flash measured |
| Neither model has a result on the other 7 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | Gemini 4 Argon | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| OTIS Mock AIME | 100.0% | Not measured | Only Gemini 4 Argon measured |
| 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% | 63.0% | Gemini 4 Argon |
| LMArena Text: math | 1536 | 1476 | Gemini 4 Argon |
| LMArena Text: mathematical work | 1557 | 1478 | 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 index50
| Benchmark | Gemini 4 Argon | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| LegalBench (Vals AI) | 88.3% | Not measured | Only Gemini 4 Argon measured |
| MedCode (Vals AI) | 58.8% | 41.1% | Gemini 4 Argon |
| SimpleQA Verified | 76.0% | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: science | 1548 | 1462 | Gemini 4 Argon |
| LMArena Text: medicine and healthcare | 1555 | 1439 | Gemini 4 Argon |
| LMArena Text: legal and government | 1548 | 1441 | Gemini 4 Argon |
| LMArena Text: business and finance | 1525 | 1454 | Gemini 4 Argon |
| Neither model has a result on the other 10 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
| Benchmark | Gemini 4 Argon | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| Design Arena: websites | 1315 | Not measured | Only Gemini 4 Argon measured |
| Design Arena: UI components | 1333 | Not measured | Only Gemini 4 Argon measured |
| Design Arena: game dev | 1377 | Not measured | Only Gemini 4 Argon measured |
| Design Arena: data viz | 1334 | Not measured | Only Gemini 4 Argon measured |
| Design Arena: 3D | 1389 | Not measured | Only Gemini 4 Argon measured |
| Design Arena: all code categories | 1328 | Not measured | Only Gemini 4 Argon measured |
| LiveBench design | 73.7% | Not measured | Only Gemini 4 Argon measured |
| Neither model has a result on the other 2 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index170
| Benchmark | Gemini 4 Argon | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| Vals Index | 69.2% | 54.8% | Gemini 4 Argon |
| LiveBench data analysis | 85.2% | Not measured | Only Gemini 4 Argon measured |
| Public Benefits Bench (Vals AI) | 69.8% | 67.6% | Gemini 4 Argon |
| SAGE (Vals AI) | 53.6% | 43.5% | Gemini 4 Argon |
| MedScribe (Vals AI) | 87.4% | 85.3% | Gemini 4 Argon |
| Long context reasoning (AA-LCR) | 79.7% | 74.3% | Gemini 4 Argon |
| DTBench | 97.6% | Not measured | Only Gemini 4 Argon measured |
| LMCA | 63.7% | Not measured | Only Gemini 4 Argon measured |
| Furniture assembly | 72.5% | Not measured | Only Gemini 4 Argon measured |
| LMArena Text | 1532 | 1453 | Gemini 4 Argon |
| LMArena Text: instruction following | 1534 | 1452 | Gemini 4 Argon |
| LMArena Text: creative writing | 1527 | 1403 | Gemini 4 Argon |
| LMArena Vision | Not measured | 1256 | Only MiMo-V2.6-Flash measured |
| LMArena Text: English | 1538 | 1476 | Gemini 4 Argon |
| LMArena Text: non-English | 1522 | 1431 | Gemini 4 Argon |
| LMArena Text: Chinese | 1611 | 1509 | Gemini 4 Argon |
| LMArena Text: German | Not measured | 1458 | Only MiMo-V2.6-Flash measured |
| LMArena Text: Japanese | Not measured | 1359 | Only MiMo-V2.6-Flash measured |
| LMArena Text: Korean | Not measured | 1425 | Only MiMo-V2.6-Flash measured |
| LMArena Text: French | Not measured | 1480 | Only MiMo-V2.6-Flash measured |
| LMArena Text: Spanish | 1503 | 1453 | Gemini 4 Argon |
| LMArena Text: Russian | 1534 | 1409 | Gemini 4 Argon |
| LMArena Text: Polish | Not measured | 1455 | Only MiMo-V2.6-Flash measured |
| LMArena Text: multi-turn | 1556 | 1447 | Gemini 4 Argon |
| LMArena Text: longer queries | 1547 | 1459 | Gemini 4 Argon |
| LMArena Text: writing and language | 1529 | 1424 | Gemini 4 Argon |
| LMArena Text: entertainment and media | 1527 | 1415 | Gemini 4 Argon |
| LMArena Vision: English | Not measured | 1269 | Only MiMo-V2.6-Flash measured |
| LMArena Vision: reading text | Not measured | 1270 | Only MiMo-V2.6-Flash measured |
| LMArena Vision: creative writing | Not measured | 1231 | Only MiMo-V2.6-Flash measured |
| Neither model has a result on the other 16 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 4 Argon | MiMo-V2.6-Flash | 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
MiMo-V2.6-Flash costs less
Repository review
50K input + 3K output tokens
MiMo-V2.6-Flash costs less
Agent loop
200K input + 10K output tokens
MiMo-V2.6-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 | Google Gemini 4 Argon | Xiaomi MiMo-V2.6-Flash |
|---|---|---|
| Maker | Xiaomi | |
| Weights | No public weights listed | Open weights |
| Released | October 13, 2026 | September 21, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $2.00 | $0.14 |
| Output $/Mtok | $10.00 | $0.28 |
| Coding index | 80.5 | 61.9 |
| Independent measurements behind it | 2 | 1 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 4 Argon better than MiMo-V2.6-Flash for coding?
Pick Gemini 4 Argon for coding: it scores 80.5 on the Vibe Coding Index against 61.9 for MiMo-V2.6-Flash. Pick MiMo-V2.6-Flash when output tokens cost 35.7x less, or when the context window is larger, 1.05M against 1.05M tokens.
Which is cheaper, Gemini 4 Argon or MiMo-V2.6-Flash?
Gemini 4 Argon costs $2.00 per million input tokens and $10.00 per million output tokens; MiMo-V2.6-Flash costs $0.14 and $0.28. Cost per solved task is known for neither of them.
Which has the bigger context window, Gemini 4 Argon or MiMo-V2.6-Flash?
MiMo-V2.6-Flash, with 1.05M tokens against 1.05M.
How many benchmarks is the Gemini 4 Argon vs MiMo-V2.6-Flash comparison based on?
54 benchmarks have a result for both models as of October 21, 2026. Gemini 4 Argon's coding index rests on 2 independent benchmarks and MiMo-V2.6-Flash's on 1. Where only one model has a result, the page says so instead of naming a winner.