Gemini 4 Argon vs MiMo-V2.6-Pro
Gemini 4 Argon leads MiMo-V2.6-Pro on coding, 81.0 to 65.4 on the Vibe Coding Index, and MiMo-V2.6-Pro costs 11.5x less per output token ($0.87 vs $10.00 per million). Updated October 22, 2026; 66 benchmarks have a result for both.
Gemini 4 Argon or MiMo-V2.6-Pro: which to pick
Pick Gemini 4 Argon for coding: it scores 81.0 on the Vibe Coding Index against 65.4 for MiMo-V2.6-Pro.
Pick MiMo-V2.6-Pro for output tokens 11.5x cheaper ($0.87 vs $10.00 per million) and a larger context window (1.05M against 1.05M tokens).
- Shared results
- 66
- Gemini 4 Argon only
- 28
- MiMo-V2.6-Pro only
- 7
- 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 4 Argon
Gemini 4 Argon scores 81.0 against 65.4.
5 and 4 benchmarks behind the scores
Intelligence
AA Intelligence Index
Gemini 4 Argon
Gemini 4 Argon leads, 52.6 against 46.3.
Same board, both measured
Web design
Design Arena: websites
Gemini 4 Argon
Gemini 4 Argon leads, 1315 against 1308.
Same board, both measured
General
Vals Index
Gemini 4 Argon
Gemini 4 Argon leads, 69.2% against 57.8%.
Same board, both measured
Long documents
Listed context window
MiMo-V2.6-Pro
MiMo-V2.6-Pro takes 1.05M tokens against 1.05M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiMo-V2.6-Pro
Gemini 4 Argon $0.0070, MiMo-V2.6-Pro $0.0009 per turn.
List prices
At a glance
- Coding index
- Gemini 4 Argon 81.0 from 5 benchmarks, MiMo-V2.6-Pro 65.4 from 4 benchmarks.
- Widest category
- Agentic work, 17.9 points apart on average over 11 shared benchmarks.
- Widest single gap
- IOI (Vals AI): Gemini 4 Argon 100.0% against MiMo-V2.6-Pro 39.3%, 60.7 points apart on a 0 to 100 scale.
- Output price
- Gemini 4 Argon $10.00 against MiMo-V2.6-Pro $0.87 per million output tokens, 11.5x apart.
- Context window
- Gemini 4 Argon takes 1.05M tokens, MiMo-V2.6-Pro 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-Pro | Ties |
|---|---|---|---|---|
| Coding | 15 | 1 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 11 | 0 | ||
| Reasoning | 6 | 0 | ||
| Math | 3 | 0 | ||
| Knowledge | 5 | 0 | ||
| Web design | 4 | 3 | ||
| General | 15 | 2 | ||
| All shared boards | 60 | 6 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index151
| Benchmark | Gemini 4 Argon | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| LiveBench coding | 89.7% | 81.5% | Gemini 4 Argon |
| LMArena WebDev | 1678 | 1625 | Gemini 4 Argon |
| Terminal-Bench 4 (Vals AI) | 57.6% | 31.3% | Gemini 4 Argon |
| Vibe Code Bench (Vals AI) | 91.9% | 85.2% | Gemini 4 Argon |
| Code migration (Vals AI) | 68.2% | 43.0% | Gemini 4 Argon |
| ProgramBench (Vals AI) | 2.5% | 0.5% | Gemini 4 Argon |
| IOI (Vals AI) | 100.0% | 39.3% | Gemini 4 Argon |
| Terminal-Bench 2.1 (Vals AI) | 57.7% | 67.8% | MiMo-V2.6-Pro |
| SWE-bench Multimodal (Vals AI) | 56.0% | 41.3% | Gemini 4 Argon |
| Vibe Code Bench 1-100 (Vals AI) | 21.2% | Not measured | Only Gemini 4 Argon measured |
| CyberBench (Vals AI) | 77.9% | 72.9% | Gemini 4 Argon |
| SciCode | 61.8% | 60.9% | Gemini 4 Argon |
| FrontierCode | 47.5% | Not measured | Only Gemini 4 Argon measured |
| FrontierSWE | 55.0% | Not measured | Only Gemini 4 Argon measured |
| MirrorCode | 58.9% | Not measured | Only Gemini 4 Argon measured |
| ALE-Bench | 2100.1 | 1158.1 | Gemini 4 Argon |
| LMArena Text: coding | 1546 | 1533 | Gemini 4 Argon |
| LMArena Text: software and IT | 1556 | 1528 | Gemini 4 Argon |
| LMArena WebDev: React | 1692 | 1639 | Gemini 4 Argon |
| LMArena WebDev: HTML | 1643 | 1616 | Gemini 4 Argon |
| LMArena WebDev: from an image | Not measured | 1598 | Only MiMo-V2.6-Pro measured |
| SciCode | 12.3% | Not measured | Only Gemini 4 Argon measured |
| Neither model has a result on the other 17 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Gemini 4 Argon | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| AA Intelligence Index | 52.6 | 46.3 | 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 index110
| Benchmark | Gemini 4 Argon | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| Design Arena: agents building web apps | Not measured | 1290 | Only MiMo-V2.6-Pro measured |
| Design Arena: spreadsheets | 1157 | Not measured | Only Gemini 4 Argon measured |
| LiveBench research | 83.1% | 76.7% | Gemini 4 Argon |
| LiveBench browser | 92.0% | 88.0% | Gemini 4 Argon |
| LiveBench long agentic | 69.9% | 47.5% | Gemini 4 Argon |
| SREBench (Vals AI) | 44.3% | 3.0% | Gemini 4 Argon |
| Finance Agent (Vals AI) | 65.4% | 57.3% | Gemini 4 Argon |
| Tax Agent Bench (Vals AI) | 44.6% | 32.4% | Gemini 4 Argon |
| Legal Research Bench (Vals AI) | 54.8% | 47.1% | Gemini 4 Argon |
| Harvey's Legal Agent Benchmark (Vals AI) | 27.1% | 13.8% | Gemini 4 Argon |
| Excel Modeling Benchmark (Vals AI) | 75.2% | 62.9% | Gemini 4 Argon |
| BioMysteryBench (Vals AI) | 76.3% | Not measured | Only Gemini 4 Argon measured |
| Terminal-Bench-Science (Vals AI) | 44.3% | 2.9% | Gemini 4 Argon |
| 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 |
| APEX-Agents | 82.4% | 54.4% | Gemini 4 Argon |
| Vending-Bench 2 | $13,718 | Not measured | Only Gemini 4 Argon measured |
| Neither model has a result on the other 22 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Gemini 4 Argon | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| LiveBench reasoning | 95.1% | 79.6% | Gemini 4 Argon |
| MysteryMechanism (Vals AI) | 45.5% | 15.3% | Gemini 4 Argon |
| Humanity's Last Exam (Artificial Analysis run) | 57.1% | 49.4% | 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 | 1511 | Gemini 4 Argon |
| LMArena Text: expert | 1550 | 1541 | Gemini 4 Argon |
| LMArena Text: hard prompts in English | 1548 | 1520 | Gemini 4 Argon |
| LMArena Vision: diagrams | Not measured | 1281 | Only MiMo-V2.6-Pro measured |
| LMArena Vision: homework | Not measured | 1264 | Only MiMo-V2.6-Pro measured |
| Neither model has a result on the other 8 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | Gemini 4 Argon | MiMo-V2.6-Pro | 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% | 70.0% | Gemini 4 Argon |
| LMArena Text: math | 1536 | 1500 | Gemini 4 Argon |
| LMArena Text: mathematical work | 1557 | 1511 | 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-Pro | Leader |
|---|---|---|---|
| LegalBench (Vals AI) | 88.3% | Not measured | Only Gemini 4 Argon measured |
| MedCode (Vals AI) | 58.8% | 45.0% | Gemini 4 Argon |
| SimpleQA Verified | 76.0% | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: science | 1548 | 1506 | Gemini 4 Argon |
| LMArena Text: medicine and healthcare | 1555 | 1497 | Gemini 4 Argon |
| LMArena Text: legal and government | 1548 | 1485 | Gemini 4 Argon |
| LMArena Text: business and finance | 1525 | 1468 | Gemini 4 Argon |
| Neither model has a result on the other 11 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index43
| Benchmark | Gemini 4 Argon | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| Design Arena: websites | 1315 | 1308 | Gemini 4 Argon |
| Design Arena: UI components | 1333 | 1340 | MiMo-V2.6-Pro |
| Design Arena: game dev | 1377 | 1314 | Gemini 4 Argon |
| Design Arena: data viz | 1332 | 1336 | MiMo-V2.6-Pro |
| Design Arena: 3D | 1388 | 1330 | Gemini 4 Argon |
| Design Arena: all code categories | 1329 | 1317 | Gemini 4 Argon |
| LiveBench design | 73.7% | 78.5% | MiMo-V2.6-Pro |
| Neither model has a result on the other 2 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index152
| Benchmark | Gemini 4 Argon | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| Vals Index | 69.2% | 57.8% | Gemini 4 Argon |
| LiveBench data analysis | 85.2% | 72.3% | Gemini 4 Argon |
| Public Benefits Bench (Vals AI) | 69.8% | 68.9% | Gemini 4 Argon |
| SAGE (Vals AI) | 53.6% | 45.0% | Gemini 4 Argon |
| MedScribe (Vals AI) | 87.4% | 88.3% | MiMo-V2.6-Pro |
| Long context reasoning (AA-LCR) | 79.7% | 86.3% | MiMo-V2.6-Pro |
| 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 | 1491 | Gemini 4 Argon |
| LMArena Text: instruction following | 1534 | 1491 | Gemini 4 Argon |
| LMArena Text: creative writing | 1527 | 1466 | Gemini 4 Argon |
| LMArena Vision | Not measured | 1263 | Only MiMo-V2.6-Pro measured |
| LMArena Text: English | 1538 | 1504 | Gemini 4 Argon |
| LMArena Text: non-English | 1522 | 1474 | Gemini 4 Argon |
| LMArena Text: Chinese | 1611 | 1529 | Gemini 4 Argon |
| LMArena Text: Spanish | 1503 | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: Russian | 1534 | 1479 | Gemini 4 Argon |
| LMArena Text: multi-turn | 1556 | 1466 | Gemini 4 Argon |
| LMArena Text: longer queries | 1547 | 1501 | Gemini 4 Argon |
| LMArena Text: writing and language | 1529 | 1470 | Gemini 4 Argon |
| LMArena Text: entertainment and media | 1527 | 1465 | Gemini 4 Argon |
| LMArena Vision: English | Not measured | 1268 | Only MiMo-V2.6-Pro measured |
| LMArena Vision: reading text | Not measured | 1270 | Only MiMo-V2.6-Pro measured |
| Neither model has a result on the other 22 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 4 Argon | MiMo-V2.6-Pro | 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-Pro costs less
Repository review
50K input + 3K output tokens
MiMo-V2.6-Pro costs less
Agent loop
200K input + 10K output tokens
MiMo-V2.6-Pro 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-Pro |
|---|---|---|
| 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 | $0.435 |
| Output $/Mtok | $10.00 | $0.87 |
| Coding index | 81.0 | 65.4 |
| Independent measurements behind it | 5 | 4 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 4 Argon better than MiMo-V2.6-Pro for coding?
Pick Gemini 4 Argon for coding: it scores 81.0 on the Vibe Coding Index against 65.4 for MiMo-V2.6-Pro. Pick MiMo-V2.6-Pro for output tokens 11.5x cheaper ($0.87 vs $10.00 per million) and a larger context window (1.05M against 1.05M tokens).
Which is cheaper, Gemini 4 Argon or MiMo-V2.6-Pro?
Gemini 4 Argon costs $2.00 per million input tokens and $10.00 per million output tokens; MiMo-V2.6-Pro costs $0.435 and $0.87. Cost per solved task is known for neither of them.
Which has the bigger context window, Gemini 4 Argon or MiMo-V2.6-Pro?
MiMo-V2.6-Pro, with 1.05M tokens against 1.05M.
How many benchmarks is the Gemini 4 Argon vs MiMo-V2.6-Pro comparison based on?
66 benchmarks have a result for both models as of October 22, 2026. Gemini 4 Argon's coding index rests on 5 independent benchmarks and MiMo-V2.6-Pro's on 4. Where only one model has a result, the page says so instead of naming a winner.