Hy3 vs MiMo-V2.5-Pro
Updated October 21, 2026. 44 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick Hy3 for coding: it scores 43.9 on the Vibe Coding Index against 40.0 for MiMo-V2.5-Pro.
Pick MiMo-V2.5-Pro when the context window is larger, 1.05M against 262K tokens, or when what matters is SciCode or ALE-Bench, where it leads.
- Shared results
- 44
- Hy3 only
- 0
- MiMo-V2.5-Pro only
- 26
- Like-for-like categories
- 6 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
Hy3
Hy3 scores 43.9 against 40.0.
One benchmark behind each score
Intelligence
AA Intelligence Index
No call
Only MiMo-V2.5-Pro has a AA Intelligence Index result, 26.0.
Directional only
Agentic work
AA Agentic Index
No call
Only MiMo-V2.5-Pro has a AA Agentic Index result, 21.3.
Directional only
Reasoning
GPQA Diamond
No call
Only MiMo-V2.5-Pro has a GPQA Diamond result, 82.6%.
Directional only
Knowledge
MMLU Pro
No call
Only MiMo-V2.5-Pro has a MMLU Pro result, 84.6%.
Directional only
Web design
Design Arena: websites
MiMo-V2.5-Pro
MiMo-V2.5-Pro leads, 1267 against 1230.
Same board, both measured
Long documents
Listed context window
MiMo-V2.5-Pro
MiMo-V2.5-Pro takes 1.05M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Hy3
Hy3 $0.0004, MiMo-V2.5-Pro $0.0006 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only MiMo-V2.5-Pro has the number, $0.03.
Directional only
At a glance
- Coding index
- Hy3 43.9 from 1 benchmark, MiMo-V2.5-Pro 40.0 from 1 benchmark.
- Widest category
- Knowledge, 5.8 points apart on average over 4 shared benchmarks.
- Widest single gap
- Design Arena: data viz: Hy3 1163 against MiMo-V2.5-Pro 1257, 11.8 points apart on a 0 to 100 scale.
- Output price
- Hy3 $0.528 against MiMo-V2.5-Pro $0.609 per million output tokens, 1.2x apart.
- Context window
- Hy3 takes 262K tokens, MiMo-V2.5-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 | Hy3 | Bars | MiMo-V2.5-Pro | Ties |
|---|---|---|---|---|
| Coding | 3 | 4 | ||
| Reasoning | 1 | 4 | ||
| Math | 0 | 2 | ||
| Knowledge | 0 | 4 | ||
| Web design | 1 | 6 | 1 tie | |
| General | 0 | 18 | ||
| All shared boards | 5 | 38 | 1 tie |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index34
| Benchmark | Hy3 | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| LMArena WebDev | 1507 | 1480 | Hy3 |
| AA Coding Index | Not measured | 60.2 | Only MiMo-V2.5-Pro measured |
| LiveCodeBench (Vals AI) | Not measured | 81.3% | Only MiMo-V2.5-Pro measured |
| SWE-bench Verified (Vals AI) | Not measured | 74.0% | Only MiMo-V2.5-Pro measured |
| Terminal-Bench 4 (Vals AI) | Not measured | 0.5% | Only MiMo-V2.5-Pro measured |
| Vibe Code Bench (Vals AI) | Not measured | 34.1% | Only MiMo-V2.5-Pro measured |
| Code migration (Vals AI) | Not measured | 21.6% | Only MiMo-V2.5-Pro measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 57.3% | Only MiMo-V2.5-Pro measured |
| SciCode | 48.6% | 50.6% | MiMo-V2.5-Pro |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 43.2% | Only MiMo-V2.5-Pro measured |
| ALE-Bench | 838.6 | 899.8 | MiMo-V2.5-Pro |
| LMArena Text: coding | 1466 | 1501 | MiMo-V2.5-Pro |
| LMArena Text: software and IT | 1463 | 1495 | MiMo-V2.5-Pro |
| LMArena WebDev: React | 1511 | 1469 | Hy3 |
| LMArena WebDev: HTML | 1487 | 1473 | Hy3 |
| Neither model has a result on the other 23 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Hy3 | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| AA Intelligence Index | Not measured | 26.0 | Only MiMo-V2.5-Pro measured |
| Neither model has a result on the other 1 board here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | Hy3 | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 21.3 | Only MiMo-V2.5-Pro measured |
| Finance Agent (Vals AI) | Not measured | 41.5% | Only MiMo-V2.5-Pro measured |
| Tax Agent Bench (Vals AI) | Not measured | 11.5% | Only MiMo-V2.5-Pro measured |
| Legal Research Bench (Vals AI) | Not measured | 15.9% | Only MiMo-V2.5-Pro measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 55.2% | Only MiMo-V2.5-Pro measured |
| τ²-Bench Telecom | Not measured | 94.2% | Only MiMo-V2.5-Pro measured |
| Neither model has a result on the other 33 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index14
| Benchmark | Hy3 | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 82.6% | Only MiMo-V2.5-Pro measured |
| GPQA Diamond (Artificial Analysis run) | 89.7% | 86.6% | Hy3 |
| Humanity's Last Exam (Artificial Analysis run) | 33.5% | 35.7% | MiMo-V2.5-Pro |
| LMArena Text: hard prompts | 1447 | 1486 | MiMo-V2.5-Pro |
| LMArena Text: expert | 1461 | 1501 | MiMo-V2.5-Pro |
| LMArena Text: hard prompts in English | 1455 | 1494 | MiMo-V2.5-Pro |
| Neither model has a result on the other 15 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Hy3 | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| ProofBench | Not measured | 22.0% | Only MiMo-V2.5-Pro measured |
| LMArena Text: math | 1473 | 1481 | MiMo-V2.5-Pro |
| LMArena Text: mathematical work | 1482 | 1491 | MiMo-V2.5-Pro |
| Neither model has a result on the other 10 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | Hy3 | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 84.6% | Only MiMo-V2.5-Pro measured |
| LegalBench (Vals AI) | Not measured | 77.1% | Only MiMo-V2.5-Pro measured |
| CorpFin (Vals AI) | Not measured | 61.4% | Only MiMo-V2.5-Pro measured |
| TaxEval (Vals AI) | Not measured | 73.8% | Only MiMo-V2.5-Pro measured |
| MedCode (Vals AI) | Not measured | 32.5% | Only MiMo-V2.5-Pro measured |
| LMArena Text: science | 1457 | 1482 | MiMo-V2.5-Pro |
| LMArena Text: medicine and healthcare | 1452 | 1473 | MiMo-V2.5-Pro |
| LMArena Text: legal and government | 1422 | 1474 | MiMo-V2.5-Pro |
| LMArena Text: business and finance | 1424 | 1466 | MiMo-V2.5-Pro |
| Neither model has a result on the other 8 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index16
| Benchmark | Hy3 | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| Design Arena: websites | 1230 | 1267 | MiMo-V2.5-Pro |
| Design Arena: UI components | 1205 | 1248 | MiMo-V2.5-Pro |
| Design Arena: game dev | 1208 | 1261 | MiMo-V2.5-Pro |
| Design Arena: data viz | 1163 | 1257 | MiMo-V2.5-Pro |
| Design Arena: 3D | 1233 | 1244 | MiMo-V2.5-Pro |
| Design Arena: all code categories | 1227 | 1266 | MiMo-V2.5-Pro |
| Design Arena: SVG | 1199 | 1181 | Hy3 |
| Design Arena: ASCII art | 1157 | 1157 | Tie |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index018
| Benchmark | Hy3 | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| MedScribe (Vals AI) | Not measured | 83.7% | Only MiMo-V2.5-Pro measured |
| IFBench | Not measured | 79.9% | Only MiMo-V2.5-Pro measured |
| Long context reasoning (AA-LCR) | 79.0% | 79.7% | MiMo-V2.5-Pro |
| DTBench | Not measured | 84.5% | Only MiMo-V2.5-Pro measured |
| LMCA | Not measured | 29.5% | Only MiMo-V2.5-Pro measured |
| LMArena Text | 1438 | 1464 | MiMo-V2.5-Pro |
| LMArena Text: instruction following | 1426 | 1475 | MiMo-V2.5-Pro |
| LMArena Text: creative writing | 1403 | 1438 | MiMo-V2.5-Pro |
| LMArena Text: English | 1448 | 1477 | MiMo-V2.5-Pro |
| LMArena Text: non-English | 1426 | 1448 | MiMo-V2.5-Pro |
| LMArena Text: Chinese | 1485 | 1507 | MiMo-V2.5-Pro |
| LMArena Text: German | 1449 | 1459 | MiMo-V2.5-Pro |
| LMArena Text: Japanese | 1397 | 1410 | MiMo-V2.5-Pro |
| LMArena Text: Korean | 1396 | 1435 | MiMo-V2.5-Pro |
| LMArena Text: French | 1456 | 1487 | MiMo-V2.5-Pro |
| LMArena Text: Spanish | 1457 | 1469 | MiMo-V2.5-Pro |
| LMArena Text: Russian | 1432 | 1449 | MiMo-V2.5-Pro |
| LMArena Text: Polish | 1447 | 1464 | MiMo-V2.5-Pro |
| LMArena Text: multi-turn | 1436 | 1476 | MiMo-V2.5-Pro |
| LMArena Text: longer queries | 1442 | 1481 | MiMo-V2.5-Pro |
| LMArena Text: writing and language | 1414 | 1451 | MiMo-V2.5-Pro |
| LMArena Text: entertainment and media | 1400 | 1438 | MiMo-V2.5-Pro |
| Neither model has a result on the other 24 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Hy3 | MiMo-V2.5-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
Hy3 costs less
Repository review
50K input + 3K output tokens
Hy3 costs less
Agent loop
200K input + 10K output tokens
Hy3 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 Hy3 | Xiaomi MiMo-V2.5-Pro |
|---|---|---|
| Maker | Tencent | Xiaomi |
| Weights | Open weights | Open weights |
| Released | July 6, 2026 | April 22, 2026 |
| Context window | 262K | 1.05M |
| Input $/Mtok | $0.132 | $0.3045 |
| Output $/Mtok | $0.528 | $0.609 |
| Coding index | 43.9 | 40.0 |
| Independent measurements behind it | 1 | 1 |
| Cost per solved task | Not computable | $0.03 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Hy3 better than MiMo-V2.5-Pro for coding?
Pick Hy3 for coding: it scores 43.9 on the Vibe Coding Index against 40.0 for MiMo-V2.5-Pro. Pick MiMo-V2.5-Pro when the context window is larger, 1.05M against 262K tokens, or when what matters is SciCode or ALE-Bench, where it leads.
Which is cheaper, Hy3 or MiMo-V2.5-Pro?
Hy3 costs $0.132 per million input tokens and $0.528 per million output tokens; MiMo-V2.5-Pro costs $0.3045 and $0.609. Cost per solved task is known for MiMo-V2.5-Pro only.
Which has the bigger context window, Hy3 or MiMo-V2.5-Pro?
MiMo-V2.5-Pro, with 1.05M tokens against 262K.
How many benchmarks is the Hy3 vs MiMo-V2.5-Pro comparison based on?
44 benchmarks have a result for both models as of October 21, 2026. Hy3's coding index rests on 1 independent benchmark and MiMo-V2.5-Pro's on 1. Where only one model has a result, the page says so instead of naming a winner.