Gemma 4 26B A4B vs MiMo-V2.5
Updated October 21, 2026. 47 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 22.8 for Gemma 4 26B A4B.
Pick Gemma 4 26B A4B when what matters is ALE-Bench or LMArena Vision: homework, where it leads.
- Shared results
- 47
- Gemma 4 26B A4B only
- 7
- MiMo-V2.5 only
- 33
- 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
MiMo-V2.5
MiMo-V2.5 scores 34.0 against 22.8.
One benchmark behind each score
Intelligence
AA Intelligence Index
MiMo-V2.5
MiMo-V2.5 leads, 21.8 against 16.7.
Same board, both measured
Agentic work
AA Agentic Index
MiMo-V2.5
MiMo-V2.5 leads, 15.8 against 2.9.
Same board, both measured
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
No call
Only MiMo-V2.5 has a Design Arena: websites result, 1266.
Directional only
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
Gemma 4 26B A4B
Gemma 4 26B A4B $0.0002, 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
- Gemma 4 26B A4B 22.8 from 1 benchmark, MiMo-V2.5 34.0 from 1 benchmark.
- Widest category
- Agentic work, 30.0 points apart on average over 2 shared benchmarks.
- Widest single gap
- τ²-Bench Telecom: Gemma 4 26B A4B 43.6% against MiMo-V2.5 90.6%, 47.1 points apart on a 0 to 100 scale.
- Output price
- Gemma 4 26B A4B $0.255 against MiMo-V2.5 $0.238 per million output tokens, 1.1x apart.
- Context window
- Gemma 4 26B A4B 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 | Gemma 4 26B A4B | Bars | MiMo-V2.5 | Ties |
|---|---|---|---|---|
| Coding | 1 | 8 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 0 | 2 | ||
| Reasoning | 1 | 6 | ||
| Math | 2 | 0 | ||
| Knowledge | 2 | 2 | ||
| General | 14 | 8 | ||
| All shared boards | 20 | 27 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index18
| Benchmark | Gemma 4 26B A4B | MiMo-V2.5 | Leader |
|---|---|---|---|
| LMArena WebDev | 1360 | 1438 | MiMo-V2.5 |
| AA Coding Index | 39.3 | 56.8 | MiMo-V2.5 |
| 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 | 40.0% | 43.9% | MiMo-V2.5 |
| Terminal-Bench Hard (Artificial Analysis run) | 25.0% | 41.7% | MiMo-V2.5 |
| WeirdML | 35.2% | Not measured | Only Gemma 4 26B A4B measured |
| ALE-Bench | 927.2 | 514.0 | Gemma 4 26B A4B |
| LMArena Text: coding | 1446 | 1469 | MiMo-V2.5 |
| LMArena Text: software and IT | 1454 | 1463 | MiMo-V2.5 |
| LMArena WebDev: React | 1351 | 1425 | MiMo-V2.5 |
| LMArena WebDev: HTML | 1362 | 1429 | MiMo-V2.5 |
| Neither model has a result on the other 23 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Gemma 4 26B A4B | MiMo-V2.5 | Leader |
|---|---|---|---|
| AA Intelligence Index | 16.7 | 21.8 | MiMo-V2.5 |
| Epoch Capabilities Index | 141.9 | Not measured | Only Gemma 4 26B A4B measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Gemma 4 26B A4B | MiMo-V2.5 | Leader |
|---|---|---|---|
| AA Agentic Index | 2.9 | 15.8 | MiMo-V2.5 |
| 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 | 43.6% | 90.6% | MiMo-V2.5 |
| Neither model has a result on the other 33 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index16
| Benchmark | Gemma 4 26B A4B | 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) | 79.2% | 84.9% | MiMo-V2.5 |
| Humanity's Last Exam (Artificial Analysis run) | 19.3% | 27.2% | MiMo-V2.5 |
| GPQA Diamond (Epoch AI run) | 73.2% | Not measured | Only Gemma 4 26B A4B measured |
| LMArena Text: hard prompts | 1438 | 1450 | MiMo-V2.5 |
| LMArena Text: expert | 1447 | 1459 | MiMo-V2.5 |
| LMArena Text: hard prompts in English | 1448 | 1461 | MiMo-V2.5 |
| LMArena Vision: diagrams | 1264 | 1269 | MiMo-V2.5 |
| LMArena Vision: homework | 1293 | 1262 | Gemma 4 26B A4B |
| Neither model has a result on the other 11 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Gemma 4 26B A4B | MiMo-V2.5 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 82.2% | Not measured | Only Gemma 4 26B A4B measured |
| ProofBench | Not measured | 16.0% | Only MiMo-V2.5 measured |
| LMArena Text: math | 1470 | 1436 | Gemma 4 26B A4B |
| LMArena Text: mathematical work | 1475 | 1451 | Gemma 4 26B A4B |
| Neither model has a result on the other 9 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index22
| Benchmark | Gemma 4 26B A4B | 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 | 1446 | 1440 | Gemma 4 26B A4B |
| LMArena Text: medicine and healthcare | 1428 | 1432 | MiMo-V2.5 |
| LMArena Text: legal and government | 1457 | 1425 | Gemma 4 26B A4B |
| LMArena Text: business and finance | 1429 | 1432 | MiMo-V2.5 |
| Neither model has a result on the other 7 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | Gemma 4 26B A4B | MiMo-V2.5 | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1266 | Only MiMo-V2.5 measured |
| Design Arena: UI components | Not measured | 1257 | Only MiMo-V2.5 measured |
| Design Arena: game dev | Not measured | 1249 | Only MiMo-V2.5 measured |
| Design Arena: data viz | Not measured | 1249 | Only MiMo-V2.5 measured |
| Design Arena: 3D | Not measured | 1216 | Only MiMo-V2.5 measured |
| Design Arena: all code categories | Not measured | 1260 | Only MiMo-V2.5 measured |
| Design Arena: SVG | Not measured | 1178 | Only MiMo-V2.5 measured |
| 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 index148
| Benchmark | Gemma 4 26B A4B | 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 | 72.4% | 67.1% | Gemma 4 26B A4B |
| Long context reasoning (AA-LCR) | 65.7% | 73.0% | MiMo-V2.5 |
| DTBench | 74.9% | Not measured | Only Gemma 4 26B A4B measured |
| LMCA | 29.7% | Not measured | Only Gemma 4 26B A4B measured |
| LMArena Text | 1434 | 1428 | Gemma 4 26B A4B |
| LMArena Text: instruction following | 1420 | 1435 | MiMo-V2.5 |
| LMArena Text: creative writing | 1400 | 1393 | Gemma 4 26B A4B |
| LMArena Vision | 1260 | 1247 | Gemma 4 26B A4B |
| LMArena Text: English | 1444 | 1447 | MiMo-V2.5 |
| LMArena Text: non-English | 1421 | 1405 | Gemma 4 26B A4B |
| LMArena Text: Chinese | 1495 | 1469 | Gemma 4 26B A4B |
| LMArena Text: German | Not measured | 1421 | Only MiMo-V2.5 measured |
| LMArena Text: Japanese | Not measured | 1306 | Only MiMo-V2.5 measured |
| LMArena Text: Korean | Not measured | 1361 | Only MiMo-V2.5 measured |
| LMArena Text: French | 1460 | 1448 | Gemma 4 26B A4B |
| LMArena Text: Spanish | 1415 | 1414 | Gemma 4 26B A4B |
| LMArena Text: Russian | 1434 | 1396 | Gemma 4 26B A4B |
| LMArena Text: Polish | Not measured | 1413 | Only MiMo-V2.5 measured |
| LMArena Text: multi-turn | 1441 | 1445 | MiMo-V2.5 |
| LMArena Text: longer queries | 1427 | 1445 | MiMo-V2.5 |
| LMArena Text: writing and language | 1405 | 1409 | MiMo-V2.5 |
| LMArena Text: entertainment and media | 1403 | 1399 | Gemma 4 26B A4B |
| LMArena Vision: English | 1256 | 1259 | MiMo-V2.5 |
| LMArena Vision: Chinese | 1312 | 1326 | MiMo-V2.5 |
| LMArena Vision: reading text | 1268 | 1256 | Gemma 4 26B A4B |
| LMArena Vision: humor | 1272 | 1226 | Gemma 4 26B A4B |
| LMArena Vision: captioning | 1297 | Not measured | Only Gemma 4 26B A4B measured |
| LMArena Vision: recognizing things | 1191 | 1189 | Gemma 4 26B A4B |
| LMArena Vision: creative writing | 1256 | 1230 | Gemma 4 26B A4B |
| 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 | Gemma 4 26B A4B | 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
Gemma 4 26B A4B costs less
Repository review
50K input + 3K output tokens
Gemma 4 26B A4B costs less
Agent loop
200K input + 10K output tokens
Gemma 4 26B A4B 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 Gemma 4 26B A4B | Xiaomi MiMo-V2.5 |
|---|---|---|
| Maker | Xiaomi | |
| Weights | Open weights | Open weights |
| Released | April 3, 2026 | April 22, 2026 |
| Context window | 262K | 1.05M |
| Input $/Mtok | $0.0765 | $0.119 |
| Output $/Mtok | $0.255 | $0.238 |
| Coding index | 22.8 | 34.0 |
| Independent measurements behind it | 1 | 1 |
| Cost per solved task | Not computable | $0.01 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemma 4 26B A4B better than MiMo-V2.5 for coding?
Pick MiMo-V2.5 for coding: it scores 34.0 on the Vibe Coding Index against 22.8 for Gemma 4 26B A4B. Pick Gemma 4 26B A4B when what matters is ALE-Bench or LMArena Vision: homework, where it leads.
Which is cheaper, Gemma 4 26B A4B or MiMo-V2.5?
Gemma 4 26B A4B costs $0.0765 per million input tokens and $0.255 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, Gemma 4 26B A4B or MiMo-V2.5?
MiMo-V2.5, with 1.05M tokens against 262K.
How many benchmarks is the Gemma 4 26B A4B vs MiMo-V2.5 comparison based on?
47 benchmarks have a result for both models as of October 21, 2026. Gemma 4 26B A4B'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.