Qwen3.5 397B A17B vs MiMo-V2.5
Updated October 21, 2026. 56 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick MiMo-V2.5 for coding: it scores 34.0 on the Vibe Coding Index against 28.6 for Qwen3.5 397B A17B.
Pick Qwen3.5 397B A17B when what matters is SciCode or ALE-Bench, where it leads.
- Shared results
- 56
- Qwen3.5 397B A17B only
- 9
- MiMo-V2.5 only
- 24
- 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
MiMo-V2.5
MiMo-V2.5 scores 34.0 against 28.6.
One benchmark behind each score
Intelligence
AA Intelligence Index
MiMo-V2.5
MiMo-V2.5 leads, 21.8 against 21.4.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only MiMo-V2.5 has a AA Agentic Index result, 15.8.
Directional only
Reasoning
GPQA Diamond
No call
Only MiMo-V2.5 has a GPQA Diamond result, 81.6%.
Directional only
Knowledge
MMLU Pro
No call
Only MiMo-V2.5 has a MMLU Pro result, 82.9%.
Directional only
Web design
Design Arena: websites
MiMo-V2.5
MiMo-V2.5 leads, 1266 against 1191.
Same board, both measured
Long documents
Listed context window
MiMo-V2.5
MiMo-V2.5 takes 1.05M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiMo-V2.5
Qwen3.5 397B A17B $0.0016, MiMo-V2.5 $0.0002 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only MiMo-V2.5 has the number, $0.01.
Directional only
At a glance
- Coding index
- Qwen3.5 397B A17B 28.6 from 1 benchmark, MiMo-V2.5 34.0 from 1 benchmark.
- Widest category
- Web design, 9.4 points apart on average over 7 shared benchmarks.
- Widest single gap
- LMArena Text: Japanese: Qwen3.5 397B A17B 1429 against MiMo-V2.5 1306, 20.6 points apart on a 0 to 100 scale.
- Output price
- Qwen3.5 397B A17B $2.34 against MiMo-V2.5 $0.238 per million output tokens, 9.8x apart.
- Context window
- Qwen3.5 397B A17B takes 262K tokens, MiMo-V2.5 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 | Qwen3.5 397B A17B | Bars | MiMo-V2.5 | Ties |
|---|---|---|---|---|
| Coding | 2 | 6 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 5 | 2 | ||
| Math | 2 | 0 | ||
| Knowledge | 4 | 0 | ||
| Web design | 0 | 7 | ||
| General | 21 | 5 | ||
| All shared boards | 35 | 21 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index26
| Benchmark | Qwen3.5 397B A17B | MiMo-V2.5 | Leader |
|---|---|---|---|
| LMArena WebDev | 1400 | 1438 | MiMo-V2.5 |
| AA Coding Index | Not measured | 56.8 | Only MiMo-V2.5 measured |
| LiveCodeBench (Vals AI) | Not measured | 81.5% | Only MiMo-V2.5 measured |
| SWE-bench Verified (Vals AI) | Not measured | 71.0% | Only MiMo-V2.5 measured |
| Vibe Code Bench (Vals AI) | Not measured | 42.2% | Only MiMo-V2.5 measured |
| Code migration (Vals AI) | Not measured | 14.2% | Only MiMo-V2.5 measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 60.7% | Only MiMo-V2.5 measured |
| SciCode | 44.8% | 43.9% | Qwen3.5 397B A17B |
| Terminal-Bench Hard (Artificial Analysis run) | 40.9% | 41.7% | MiMo-V2.5 |
| ALE-Bench | 621.9 | 514.0 | Qwen3.5 397B A17B |
| LMArena Text: coding | 1464 | 1469 | MiMo-V2.5 |
| LMArena Text: software and IT | 1463 | 1463 | MiMo-V2.5 |
| LMArena WebDev: React | 1388 | 1425 | MiMo-V2.5 |
| LMArena WebDev: HTML | 1410 | 1429 | MiMo-V2.5 |
| Neither model has a result on the other 24 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Qwen3.5 397B A17B | MiMo-V2.5 | Leader |
|---|---|---|---|
| AA Intelligence Index | 21.4 | 21.8 | MiMo-V2.5 |
| Epoch Capabilities Index | 146.8 | Not measured | Only Qwen3.5 397B A17B measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Qwen3.5 397B A17B | MiMo-V2.5 | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 15.8 | Only MiMo-V2.5 measured |
| Finance Agent (Vals AI) | Not measured | 36.7% | Only MiMo-V2.5 measured |
| Tax Agent Bench (Vals AI) | Not measured | 7.8% | Only MiMo-V2.5 measured |
| Legal Research Bench (Vals AI) | Not measured | 9.1% | Only MiMo-V2.5 measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 55.1% | Only MiMo-V2.5 measured |
| τ²-Bench Telecom | 95.6% | 90.6% | Qwen3.5 397B A17B |
| APEX-Agents | 24.9% | Not measured | Only Qwen3.5 397B A17B measured |
| Neither model has a result on the other 32 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index52
| Benchmark | Qwen3.5 397B A17B | MiMo-V2.5 | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 81.6% | Only MiMo-V2.5 measured |
| MMMU Pro (Vals AI) | Not measured | 80.0% | Only MiMo-V2.5 measured |
| GPQA Diamond (Artificial Analysis run) | 89.3% | 84.9% | Qwen3.5 397B A17B |
| Humanity's Last Exam (Artificial Analysis run) | 29.0% | 27.2% | Qwen3.5 397B A17B |
| GPQA Diamond (Epoch AI run) | 86.4% | Not measured | Only Qwen3.5 397B A17B measured |
| Mystery game puzzles | 18.0% | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: hard prompts | 1448 | 1450 | MiMo-V2.5 |
| LMArena Text: expert | 1462 | 1459 | Qwen3.5 397B A17B |
| LMArena Text: hard prompts in English | 1450 | 1461 | MiMo-V2.5 |
| LMArena Vision: diagrams | 1277 | 1269 | Qwen3.5 397B A17B |
| LMArena Vision: homework | 1292 | 1262 | Qwen3.5 397B A17B |
| Neither model has a result on the other 10 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Qwen3.5 397B A17B | MiMo-V2.5 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 88.9% | Not measured | Only Qwen3.5 397B A17B measured |
| FrontierMath, tiers 1 to 3 | 31.2% | Not measured | Only Qwen3.5 397B A17B measured |
| ProofBench | Not measured | 16.0% | Only MiMo-V2.5 measured |
| LMArena Text: math | 1453 | 1436 | Qwen3.5 397B A17B |
| LMArena Text: mathematical work | 1454 | 1451 | Qwen3.5 397B A17B |
| Neither model has a result on the other 8 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Qwen3.5 397B A17B | MiMo-V2.5 | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 82.9% | Only MiMo-V2.5 measured |
| LegalBench (Vals AI) | Not measured | 78.9% | Only MiMo-V2.5 measured |
| CorpFin (Vals AI) | Not measured | 59.9% | Only MiMo-V2.5 measured |
| TaxEval (Vals AI) | Not measured | 71.8% | Only MiMo-V2.5 measured |
| MortgageTax (Vals AI) | Not measured | 59.3% | Only MiMo-V2.5 measured |
| MedCode (Vals AI) | Not measured | 31.9% | Only MiMo-V2.5 measured |
| LMArena Text: science | 1457 | 1440 | Qwen3.5 397B A17B |
| LMArena Text: medicine and healthcare | 1455 | 1432 | Qwen3.5 397B A17B |
| LMArena Text: legal and government | 1441 | 1425 | Qwen3.5 397B A17B |
| LMArena Text: business and finance | 1435 | 1432 | Qwen3.5 397B A17B |
| Neither model has a result on the other 7 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index07
| Benchmark | Qwen3.5 397B A17B | MiMo-V2.5 | Leader |
|---|---|---|---|
| Design Arena: websites | 1191 | 1266 | MiMo-V2.5 |
| Design Arena: UI components | 1163 | 1257 | MiMo-V2.5 |
| Design Arena: game dev | 1141 | 1249 | MiMo-V2.5 |
| Design Arena: data viz | 1175 | 1249 | MiMo-V2.5 |
| Design Arena: 3D | 1161 | 1216 | MiMo-V2.5 |
| Design Arena: all code categories | 1180 | 1260 | MiMo-V2.5 |
| Design Arena: SVG | 1139 | 1178 | MiMo-V2.5 |
| Design Arena: ASCII art | Not measured | 1141 | Only MiMo-V2.5 measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index215
| Benchmark | Qwen3.5 397B A17B | MiMo-V2.5 | Leader |
|---|---|---|---|
| SAGE (Vals AI) | Not measured | 43.3% | Only MiMo-V2.5 measured |
| MedScribe (Vals AI) | Not measured | 72.2% | Only MiMo-V2.5 measured |
| Vals Multimodal Index | Not measured | 52.8% | Only MiMo-V2.5 measured |
| IFBench | 78.8% | 67.1% | Qwen3.5 397B A17B |
| Long context reasoning (AA-LCR) | 77.3% | 73.0% | Qwen3.5 397B A17B |
| DTBench | 87.5% | Not measured | Only Qwen3.5 397B A17B measured |
| LMCA | 37.9% | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text | 1437 | 1428 | Qwen3.5 397B A17B |
| LMArena Text: instruction following | 1424 | 1435 | MiMo-V2.5 |
| LMArena Text: creative writing | 1402 | 1393 | Qwen3.5 397B A17B |
| LMArena Vision | 1262 | 1247 | Qwen3.5 397B A17B |
| LMArena Text: English | 1443 | 1447 | MiMo-V2.5 |
| LMArena Text: non-English | 1430 | 1405 | Qwen3.5 397B A17B |
| LMArena Text: Chinese | 1498 | 1469 | Qwen3.5 397B A17B |
| LMArena Text: German | 1445 | 1421 | Qwen3.5 397B A17B |
| LMArena Text: Japanese | 1429 | 1306 | Qwen3.5 397B A17B |
| LMArena Text: Korean | 1384 | 1361 | Qwen3.5 397B A17B |
| LMArena Text: French | 1462 | 1448 | Qwen3.5 397B A17B |
| LMArena Text: Spanish | 1441 | 1414 | Qwen3.5 397B A17B |
| LMArena Text: Russian | 1430 | 1396 | Qwen3.5 397B A17B |
| LMArena Text: Polish | 1447 | 1413 | Qwen3.5 397B A17B |
| LMArena Text: multi-turn | 1446 | 1445 | Qwen3.5 397B A17B |
| LMArena Text: longer queries | 1441 | 1445 | MiMo-V2.5 |
| LMArena Text: writing and language | 1415 | 1409 | Qwen3.5 397B A17B |
| LMArena Text: entertainment and media | 1399 | 1399 | MiMo-V2.5 |
| LMArena Vision: English | 1268 | 1259 | Qwen3.5 397B A17B |
| LMArena Vision: Chinese | 1314 | 1326 | MiMo-V2.5 |
| LMArena Vision: reading text | 1271 | 1256 | Qwen3.5 397B A17B |
| LMArena Vision: humor | 1262 | 1226 | Qwen3.5 397B A17B |
| LMArena Vision: captioning | 1230 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Vision: recognizing things | 1265 | 1189 | Qwen3.5 397B A17B |
| LMArena Vision: creative writing | 1260 | 1230 | Qwen3.5 397B A17B |
| Neither model has a result on the other 14 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Qwen3.5 397B A17B | MiMo-V2.5 | 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-V2.5 costs less
Repository review
50K input + 3K output tokens
MiMo-V2.5 costs less
Agent loop
200K input + 10K output tokens
MiMo-V2.5 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 | Qwen3.5 397B A17B | Xiaomi MiMo-V2.5 |
|---|---|---|
| Maker | Qwen | Xiaomi |
| Weights | Open weights | Open weights |
| Released | February 16, 2026 | April 22, 2026 |
| Context window | 262K | 1.05M |
| Input $/Mtok | $0.39 | $0.119 |
| Output $/Mtok | $2.34 | $0.238 |
| Coding index | 28.6 | 34.0 |
| Independent measurements behind it | 1 | 1 |
| Cost per solved task | Not computable | $0.01 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Qwen3.5 397B A17B better than MiMo-V2.5 for coding?
Pick MiMo-V2.5 for coding: it scores 34.0 on the Vibe Coding Index against 28.6 for Qwen3.5 397B A17B. Pick Qwen3.5 397B A17B when what matters is SciCode or ALE-Bench, where it leads.
Which is cheaper, Qwen3.5 397B A17B or MiMo-V2.5?
Qwen3.5 397B A17B costs $0.39 per million input tokens and $2.34 per million output tokens; MiMo-V2.5 costs $0.119 and $0.238. Cost per solved task is known for MiMo-V2.5 only.
Which has the bigger context window, Qwen3.5 397B A17B or MiMo-V2.5?
MiMo-V2.5, with 1.05M tokens against 262K.
How many benchmarks is the Qwen3.5 397B A17B vs MiMo-V2.5 comparison based on?
56 benchmarks have a result for both models as of October 21, 2026. Qwen3.5 397B A17B's coding index rests on 1 independent benchmark and MiMo-V2.5's on 1. Where only one model has a result, the page says so instead of naming a winner.