Solar Pro 4 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 MiMo-V2.5-Pro for coding: it scores 40.0 on the Vibe Coding Index against 24.4 for Solar Pro 4.
Pick Solar Pro 4 when output tokens cost 1.0x less, or when what matters is AA Intelligence Index or GPQA Diamond (Artificial Analysis run), where it leads.
- Shared results
- 44
- Solar Pro 4 only
- 1
- MiMo-V2.5-Pro only
- 26
- 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-Pro
MiMo-V2.5-Pro scores 40.0 against 24.4.
One benchmark behind each score
Intelligence
AA Intelligence Index
Solar Pro 4
Solar Pro 4 leads, 28.2 against 26.0.
Same board, both measured
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 1176.
Same board, both measured
Long documents
Listed context window
MiMo-V2.5-Pro
MiMo-V2.5-Pro takes 1.05M tokens against 524K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Solar Pro 4
Solar Pro 4 $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
- Solar Pro 4 24.4 from 1 benchmark, MiMo-V2.5-Pro 40.0 from 1 benchmark.
- Widest category
- General, 15.1 points apart on average over 18 shared benchmarks.
- Widest single gap
- LMArena Text: Polish: Solar Pro 4 1304 against MiMo-V2.5-Pro 1464, 26.6 points apart on a 0 to 100 scale.
- Output price
- Solar Pro 4 $0.60 against MiMo-V2.5-Pro $0.609 per million output tokens, 1.0x apart.
- Context window
- Solar Pro 4 takes 524K 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 | Solar Pro 4 | Bars | MiMo-V2.5-Pro | Ties |
|---|---|---|---|---|
| Coding | 0 | 8 | ||
| Intelligence | 1 | 0 | ||
| Reasoning | 1 | 4 | ||
| Math | 0 | 2 | ||
| Knowledge | 0 | 4 | ||
| Web design | 0 | 6 | ||
| General | 0 | 18 | ||
| All shared boards | 2 | 42 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index08
| Benchmark | Solar Pro 4 | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| LMArena WebDev | 1371 | 1480 | MiMo-V2.5-Pro |
| AA Coding Index | 52.7 | 60.2 | MiMo-V2.5-Pro |
| 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 | 48.0% | 50.6% | MiMo-V2.5-Pro |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 43.2% | Only MiMo-V2.5-Pro measured |
| ALE-Bench | 179.3 | 899.8 | MiMo-V2.5-Pro |
| LMArena Text: coding | 1438 | 1501 | MiMo-V2.5-Pro |
| LMArena Text: software and IT | 1431 | 1495 | MiMo-V2.5-Pro |
| LMArena WebDev: React | 1363 | 1469 | MiMo-V2.5-Pro |
| LMArena WebDev: HTML | 1371 | 1473 | MiMo-V2.5-Pro |
| Neither model has a result on the other 23 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Solar Pro 4 | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| AA Intelligence Index | 28.2 | 26.0 | Solar Pro 4 |
| Neither model has a result on the other 1 board here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
| Benchmark | Solar Pro 4 | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 21.3 | Only MiMo-V2.5-Pro measured |
| Design Arena: agents building web apps | 1105 | Not measured | Only Solar Pro 4 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 32 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index14
| Benchmark | Solar Pro 4 | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 82.6% | Only MiMo-V2.5-Pro measured |
| GPQA Diamond (Artificial Analysis run) | 89.1% | 86.6% | Solar Pro 4 |
| Humanity's Last Exam (Artificial Analysis run) | 29.8% | 35.7% | MiMo-V2.5-Pro |
| LMArena Text: hard prompts | 1400 | 1486 | MiMo-V2.5-Pro |
| LMArena Text: expert | 1428 | 1501 | MiMo-V2.5-Pro |
| LMArena Text: hard prompts in English | 1427 | 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 | Solar Pro 4 | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| ProofBench | Not measured | 22.0% | Only MiMo-V2.5-Pro measured |
| LMArena Text: math | 1421 | 1481 | MiMo-V2.5-Pro |
| LMArena Text: mathematical work | 1427 | 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 | Solar Pro 4 | 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 | 1404 | 1482 | MiMo-V2.5-Pro |
| LMArena Text: medicine and healthcare | 1374 | 1473 | MiMo-V2.5-Pro |
| LMArena Text: legal and government | 1383 | 1474 | MiMo-V2.5-Pro |
| LMArena Text: business and finance | 1381 | 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 index06
| Benchmark | Solar Pro 4 | MiMo-V2.5-Pro | Leader |
|---|---|---|---|
| Design Arena: websites | 1176 | 1267 | MiMo-V2.5-Pro |
| Design Arena: UI components | 1150 | 1248 | MiMo-V2.5-Pro |
| Design Arena: game dev | 1170 | 1261 | MiMo-V2.5-Pro |
| Design Arena: data viz | 1177 | 1257 | MiMo-V2.5-Pro |
| Design Arena: 3D | 1178 | 1244 | MiMo-V2.5-Pro |
| Design Arena: all code categories | 1182 | 1266 | MiMo-V2.5-Pro |
| Design Arena: SVG | Not measured | 1181 | Only MiMo-V2.5-Pro measured |
| Design Arena: ASCII art | Not measured | 1157 | Only MiMo-V2.5-Pro measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index018
| Benchmark | Solar Pro 4 | 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) | 70.7% | 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 | 1388 | 1464 | MiMo-V2.5-Pro |
| LMArena Text: instruction following | 1375 | 1475 | MiMo-V2.5-Pro |
| LMArena Text: creative writing | 1317 | 1438 | MiMo-V2.5-Pro |
| LMArena Text: English | 1414 | 1477 | MiMo-V2.5-Pro |
| LMArena Text: non-English | 1363 | 1448 | MiMo-V2.5-Pro |
| LMArena Text: Chinese | 1422 | 1507 | MiMo-V2.5-Pro |
| LMArena Text: German | 1358 | 1459 | MiMo-V2.5-Pro |
| LMArena Text: Japanese | 1320 | 1410 | MiMo-V2.5-Pro |
| LMArena Text: Korean | 1383 | 1435 | MiMo-V2.5-Pro |
| LMArena Text: French | 1400 | 1487 | MiMo-V2.5-Pro |
| LMArena Text: Spanish | 1409 | 1469 | MiMo-V2.5-Pro |
| LMArena Text: Russian | 1357 | 1449 | MiMo-V2.5-Pro |
| LMArena Text: Polish | 1304 | 1464 | MiMo-V2.5-Pro |
| LMArena Text: multi-turn | 1385 | 1476 | MiMo-V2.5-Pro |
| LMArena Text: longer queries | 1382 | 1481 | MiMo-V2.5-Pro |
| LMArena Text: writing and language | 1344 | 1451 | MiMo-V2.5-Pro |
| LMArena Text: entertainment and media | 1332 | 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 | Solar Pro 4 | 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
Solar Pro 4 costs less
Repository review
50K input + 3K output tokens
Solar Pro 4 costs less
Agent loop
200K input + 10K output tokens
Solar Pro 4 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 | Upstage Solar Pro 4 | Xiaomi MiMo-V2.5-Pro |
|---|---|---|
| Maker | Upstage | Xiaomi |
| Weights | No public weights listed | Open weights |
| Released | August 10, 2026 | April 22, 2026 |
| Context window | 524K | 1.05M |
| Input $/Mtok | $0.15 | $0.3045 |
| Output $/Mtok | $0.60 | $0.609 |
| Coding index | 24.4 | 40.0 |
| Independent measurements behind it | 1 | 1 |
| Cost per solved task | Not computable | $0.03 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Solar Pro 4 better than MiMo-V2.5-Pro for coding?
Pick MiMo-V2.5-Pro for coding: it scores 40.0 on the Vibe Coding Index against 24.4 for Solar Pro 4. Pick Solar Pro 4 when output tokens cost 1.0x less, or when what matters is AA Intelligence Index or GPQA Diamond (Artificial Analysis run), where it leads.
Which is cheaper, Solar Pro 4 or MiMo-V2.5-Pro?
Solar Pro 4 costs $0.15 per million input tokens and $0.60 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, Solar Pro 4 or MiMo-V2.5-Pro?
MiMo-V2.5-Pro, with 1.05M tokens against 524K.
How many benchmarks is the Solar Pro 4 vs MiMo-V2.5-Pro comparison based on?
44 benchmarks have a result for both models as of October 21, 2026. Solar Pro 4'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.