Hy4 vs MiMo-V2.6-Flash
Hy4 leads MiMo-V2.6-Flash on coding, 65.2 to 54.8 on the Vibe Coding Index, and MiMo-V2.6-Flash costs 4.5x less per output token ($0.28 vs $1.2505 per million). Updated November 5, 2026; 6 benchmarks have a result for both.
Hy4 or MiMo-V2.6-Flash: which to pick
Pick Hy4 for coding: it scores 65.2 on the Vibe Coding Index against 54.8 for MiMo-V2.6-Flash, though on 2 benchmarks against 3.
Pick MiMo-V2.6-Flash for output tokens 4.5x cheaper ($0.28 vs $1.2505 per million) and a larger context window (1.05M against 1.05M tokens).
- Shared results
- 6
- Hy4 only
- 0
- MiMo-V2.6-Flash only
- 61
- Like-for-like categories
- 3 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
Hy4
Hy4 scores 65.2 against 54.8.
2 and 3 benchmarks behind the scores
Intelligence
AA Intelligence Index
No call
Only MiMo-V2.6-Flash has a AA Intelligence Index result, 26.7.
Directional only
General
Vals Index
Hy4
Hy4 leads, 59.4% 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
Hy4 $0.0010, MiMo-V2.6-Flash $0.0003 per turn.
List prices
At a glance
- Coding index
- Hy4 65.2 from 2 benchmarks, MiMo-V2.6-Flash 54.8 from 3 benchmarks.
- Widest category
- Coding, 11.1 points apart on average over 2 shared benchmarks.
- Widest single gap
- Terminal-Bench 4 (Vals AI): Hy4 39.4% against MiMo-V2.6-Flash 24.2%, 20.2 points apart on a 0 to 100 scale.
- Output price
- Hy4 $1.2505 against MiMo-V2.6-Flash $0.28 per million output tokens, 4.5x apart.
- Context window
- Hy4 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 | Hy4 | Bars | MiMo-V2.6-Flash | Ties |
|---|---|---|---|---|
| Coding | 2 | 0 | ||
| Agentic work | 2 | 1 | ||
| General | 1 | 0 | ||
| All shared boards | 5 | 1 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
| Benchmark | Hy4 | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| LMArena WebDev | Not measured | 1637 | Only MiMo-V2.6-Flash measured |
| Terminal-Bench 4 (Vals AI) | 39.4% | 24.2% | Hy4 |
| Vibe Code Bench (Vals AI) | 81.0% | 79.0% | Hy4 |
| Code migration (Vals AI) | Not measured | 40.9% | Only MiMo-V2.6-Flash measured |
| ProgramBench (Vals AI) | Not measured | 0.5% | Only MiMo-V2.6-Flash measured |
| IOI (Vals AI) | Not measured | 47.7% | Only MiMo-V2.6-Flash measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 76.4% | Only MiMo-V2.6-Flash measured |
| CyberBench (Vals AI) | Not measured | 75.4% | Only MiMo-V2.6-Flash measured |
| SciCode | Not measured | 51.3% | Only MiMo-V2.6-Flash measured |
| ALE-Bench | Not measured | 1244.2 | Only MiMo-V2.6-Flash measured |
| LMArena Text: coding | Not measured | 1498 | Only MiMo-V2.6-Flash measured |
| LMArena Text: software and IT | Not measured | 1495 | Only MiMo-V2.6-Flash measured |
| LMArena WebDev: React | Not measured | 1651 | Only MiMo-V2.6-Flash measured |
| LMArena WebDev: HTML | Not measured | 1638 | Only MiMo-V2.6-Flash measured |
| LMArena WebDev: from an image | Not measured | 1596 | Only MiMo-V2.6-Flash measured |
| GameBench 2 | Not measured | 58.4 | Only MiMo-V2.6-Flash measured |
| Neither model has a result on the other 34 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Hy4 | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| AA Intelligence Index | Not measured | 26.7 | Only MiMo-V2.6-Flash measured |
| Neither model has a result on the other 1 board here | |||
Agentic workLike-for-likePublic boards, shown as published, kept out of the index21
| Benchmark | Hy4 | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| SREBench (Vals AI) | Not measured | 4.2% | Only MiMo-V2.6-Flash measured |
| Finance Agent (Vals AI) | Not measured | 56.3% | Only MiMo-V2.6-Flash measured |
| Tax Agent Bench (Vals AI) | 34.4% | 28.5% | Hy4 |
| Legal Research Bench (Vals AI) | 41.4% | 38.0% | Hy4 |
| Harvey's Legal Agent Benchmark (Vals AI) | 12.5% | 13.3% | MiMo-V2.6-Flash |
| Excel Modeling Benchmark (Vals AI) | Not measured | 65.5% | Only MiMo-V2.6-Flash measured |
| BioMysteryBench (Vals AI) | Not measured | 69.3% | Only MiMo-V2.6-Flash measured |
| Terminal-Bench-Science (Vals AI) | Not measured | 4.3% | Only MiMo-V2.6-Flash measured |
| Vals Science Index | Not measured | 31.7% | Only MiMo-V2.6-Flash measured |
| Neither model has a result on the other 35 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
| Benchmark | Hy4 | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| MysteryMechanism (Vals AI) | Not measured | 21.6% | Only MiMo-V2.6-Flash measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 35.1% | Only MiMo-V2.6-Flash measured |
| LMArena Text: hard prompts | Not measured | 1473 | Only MiMo-V2.6-Flash measured |
| LMArena Text: expert | Not measured | 1497 | Only MiMo-V2.6-Flash measured |
| LMArena Text: hard prompts in English | Not measured | 1490 | Only MiMo-V2.6-Flash measured |
| 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 17 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
| Benchmark | Hy4 | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| ProofBench | Not measured | 63.0% | Only MiMo-V2.6-Flash measured |
| LMArena Text: math | Not measured | 1468 | Only MiMo-V2.6-Flash measured |
| LMArena Text: mathematical work | Not measured | 1479 | Only MiMo-V2.6-Flash measured |
| Neither model has a result on the other 11 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
| Benchmark | Hy4 | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| MedCode (Vals AI) | Not measured | 41.1% | Only MiMo-V2.6-Flash measured |
| LMArena Text: science | Not measured | 1460 | Only MiMo-V2.6-Flash measured |
| LMArena Text: medicine and healthcare | Not measured | 1445 | Only MiMo-V2.6-Flash measured |
| LMArena Text: legal and government | Not measured | 1447 | Only MiMo-V2.6-Flash measured |
| LMArena Text: business and finance | Not measured | 1450 | Only MiMo-V2.6-Flash measured |
| Neither model has a result on the other 15 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Hy4 | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Hy4 | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| Vals Index | 59.4% | 54.8% | Hy4 |
| Public Benefits Bench (Vals AI) | Not measured | 67.6% | Only MiMo-V2.6-Flash measured |
| SAGE (Vals AI) | Not measured | 83.3% | Only MiMo-V2.6-Flash measured |
| MedScribe (Vals AI) | Not measured | 85.3% | Only MiMo-V2.6-Flash measured |
| Long context reasoning (AA-LCR) | Not measured | 74.3% | Only MiMo-V2.6-Flash measured |
| LMArena Text | Not measured | 1451 | Only MiMo-V2.6-Flash measured |
| LMArena Text: instruction following | Not measured | 1449 | Only MiMo-V2.6-Flash measured |
| LMArena Text: creative writing | Not measured | 1405 | Only MiMo-V2.6-Flash measured |
| LMArena Vision | Not measured | 1256 | Only MiMo-V2.6-Flash measured |
| LMArena Text: English | Not measured | 1473 | Only MiMo-V2.6-Flash measured |
| LMArena Text: non-English | Not measured | 1431 | Only MiMo-V2.6-Flash measured |
| LMArena Text: Chinese | Not measured | 1509 | Only MiMo-V2.6-Flash measured |
| LMArena Text: German | Not measured | 1463 | Only MiMo-V2.6-Flash measured |
| LMArena Text: Japanese | Not measured | 1357 | Only MiMo-V2.6-Flash measured |
| LMArena Text: Korean | Not measured | 1432 | Only MiMo-V2.6-Flash measured |
| LMArena Text: French | Not measured | 1480 | Only MiMo-V2.6-Flash measured |
| LMArena Text: Spanish | Not measured | 1458 | Only MiMo-V2.6-Flash measured |
| LMArena Text: Russian | Not measured | 1411 | Only MiMo-V2.6-Flash measured |
| LMArena Text: Polish | Not measured | 1444 | Only MiMo-V2.6-Flash measured |
| LMArena Text: multi-turn | Not measured | 1444 | Only MiMo-V2.6-Flash measured |
| LMArena Text: longer queries | Not measured | 1459 | Only MiMo-V2.6-Flash measured |
| LMArena Text: writing and language | Not measured | 1423 | Only MiMo-V2.6-Flash measured |
| LMArena Text: entertainment and media | Not measured | 1413 | Only MiMo-V2.6-Flash measured |
| 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 22 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Hy4 | 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 | Tencent Hy4 | Xiaomi MiMo-V2.6-Flash |
|---|---|---|
| Maker | Tencent | Xiaomi |
| Weights | Open weights | Open weights |
| Released | November 4, 2026 | September 21, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $0.417 | $0.14 |
| Output $/Mtok | $1.2505 | $0.28 |
| Coding index | 65.2 | 54.8 |
| Independent measurements behind it | 2 | 3 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Hy4 better than MiMo-V2.6-Flash for coding?
Pick Hy4 for coding: it scores 65.2 on the Vibe Coding Index against 54.8 for MiMo-V2.6-Flash, though on 2 benchmarks against 3. Pick MiMo-V2.6-Flash for output tokens 4.5x cheaper ($0.28 vs $1.2505 per million) and a larger context window (1.05M against 1.05M tokens).
Which is cheaper, Hy4 or MiMo-V2.6-Flash?
Hy4 costs $0.417 per million input tokens and $1.2505 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, Hy4 or MiMo-V2.6-Flash?
MiMo-V2.6-Flash, with 1.05M tokens against 1.05M.
How many benchmarks is the Hy4 vs MiMo-V2.6-Flash comparison based on?
6 benchmarks have a result for both models as of November 5, 2026. Hy4's coding index rests on 2 independent benchmarks and MiMo-V2.6-Flash's on 3. Where only one model has a result, the page says so instead of naming a winner.