Solar Pro 4 vs MiMo-V2.6-Pro
MiMo-V2.6-Pro leads Solar Pro 4 on the Artificial Analysis Intelligence Index, 46.3 to 28.2, and Solar Pro 4 costs 1.4x less per output token ($0.60 vs $0.87 per million). Updated October 22, 2026; 37 benchmarks have a result for both.
Solar Pro 4 or MiMo-V2.6-Pro: which to pick
Only MiMo-V2.6-Pro has a coding score, 65.4 on the Vibe Coding Index; Solar Pro 4 has none, so the two cannot be ranked on coding.
Pick Solar Pro 4 for output tokens 1.4x cheaper ($0.60 vs $0.87 per million).
- Shared results
- 37
- Solar Pro 4 only
- 8
- MiMo-V2.6-Pro only
- 36
- Like-for-like categories
- 8 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
No call
Only MiMo-V2.6-Pro has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
MiMo-V2.6-Pro
MiMo-V2.6-Pro leads, 46.3 against 28.2.
Same board, both measured
Web design
Design Arena: websites
MiMo-V2.6-Pro
MiMo-V2.6-Pro leads, 1308 against 1176.
Same board, both measured
General
Vals Index
No call
Only MiMo-V2.6-Pro has a Vals Index result, 57.8%.
Directional only
Long documents
Listed context window
MiMo-V2.6-Pro
MiMo-V2.6-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-V2.6-Pro $0.0009 per turn.
List prices
At a glance
- Coding index
- Solar Pro 4 not benchmarked, MiMo-V2.6-Pro 65.4 from 4 benchmarks.
- Widest category
- Coding, 27.4 points apart on average over 7 shared benchmarks.
- Widest single gap
- LMArena WebDev: React: Solar Pro 4 1363 against MiMo-V2.6-Pro 1639, 39.5 points apart on a 0 to 100 scale.
- Output price
- Solar Pro 4 $0.60 against MiMo-V2.6-Pro $0.87 per million output tokens, 1.4x apart.
- Context window
- Solar Pro 4 takes 524K tokens, MiMo-V2.6-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-V2.6-Pro | Ties |
|---|---|---|---|---|
| Coding | 0 | 7 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 0 | 1 | ||
| Reasoning | 0 | 4 | ||
| Math | 0 | 2 | ||
| Knowledge | 0 | 4 | ||
| Web design | 0 | 6 | ||
| General | 0 | 12 | ||
| All shared boards | 0 | 37 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index07
| Benchmark | Solar Pro 4 | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| LiveBench coding | Not measured | 81.5% | Only MiMo-V2.6-Pro measured |
| LMArena WebDev | 1371 | 1625 | MiMo-V2.6-Pro |
| AA Coding Index | 52.7 | Not measured | Only Solar Pro 4 measured |
| Terminal-Bench 4 (Vals AI) | Not measured | 31.3% | Only MiMo-V2.6-Pro measured |
| Vibe Code Bench (Vals AI) | Not measured | 85.2% | Only MiMo-V2.6-Pro measured |
| Code migration (Vals AI) | Not measured | 43.0% | Only MiMo-V2.6-Pro measured |
| ProgramBench (Vals AI) | Not measured | 0.5% | Only MiMo-V2.6-Pro measured |
| IOI (Vals AI) | Not measured | 39.3% | Only MiMo-V2.6-Pro measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 67.8% | Only MiMo-V2.6-Pro measured |
| SWE-bench Multimodal (Vals AI) | Not measured | 41.3% | Only MiMo-V2.6-Pro measured |
| CyberBench (Vals AI) | Not measured | 72.9% | Only MiMo-V2.6-Pro measured |
| SciCode | 48.0% | 60.9% | MiMo-V2.6-Pro |
| ALE-Bench | 179.3 | 1158.1 | MiMo-V2.6-Pro |
| LMArena Text: coding | 1438 | 1533 | MiMo-V2.6-Pro |
| LMArena Text: software and IT | 1431 | 1528 | MiMo-V2.6-Pro |
| LMArena WebDev: React | 1363 | 1639 | MiMo-V2.6-Pro |
| LMArena WebDev: HTML | 1371 | 1616 | MiMo-V2.6-Pro |
| LMArena WebDev: from an image | Not measured | 1598 | Only MiMo-V2.6-Pro measured |
| Neither model has a result on the other 21 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Solar Pro 4 | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| AA Intelligence Index | 28.2 | 46.3 | MiMo-V2.6-Pro |
| Neither model has a result on the other 1 board here | |||
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Solar Pro 4 | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| Design Arena: agents building web apps | 1105 | 1290 | MiMo-V2.6-Pro |
| LiveBench research | Not measured | 76.7% | Only MiMo-V2.6-Pro measured |
| LiveBench browser | Not measured | 88.0% | Only MiMo-V2.6-Pro measured |
| LiveBench long agentic | Not measured | 47.5% | Only MiMo-V2.6-Pro measured |
| SREBench (Vals AI) | Not measured | 3.0% | Only MiMo-V2.6-Pro measured |
| Finance Agent (Vals AI) | Not measured | 57.3% | Only MiMo-V2.6-Pro measured |
| Tax Agent Bench (Vals AI) | Not measured | 32.4% | Only MiMo-V2.6-Pro measured |
| Legal Research Bench (Vals AI) | Not measured | 47.1% | Only MiMo-V2.6-Pro measured |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 13.8% | Only MiMo-V2.6-Pro measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 62.9% | Only MiMo-V2.6-Pro measured |
| Terminal-Bench-Science (Vals AI) | Not measured | 2.9% | Only MiMo-V2.6-Pro measured |
| APEX-Agents | Not measured | 54.4% | Only MiMo-V2.6-Pro measured |
| Neither model has a result on the other 29 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | Solar Pro 4 | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| LiveBench reasoning | Not measured | 79.6% | Only MiMo-V2.6-Pro measured |
| MysteryMechanism (Vals AI) | Not measured | 15.3% | Only MiMo-V2.6-Pro measured |
| GPQA Diamond (Artificial Analysis run) | 89.1% | Not measured | Only Solar Pro 4 measured |
| Humanity's Last Exam (Artificial Analysis run) | 29.8% | 49.4% | MiMo-V2.6-Pro |
| LMArena Text: hard prompts | 1400 | 1511 | MiMo-V2.6-Pro |
| LMArena Text: expert | 1428 | 1541 | MiMo-V2.6-Pro |
| LMArena Text: hard prompts in English | 1427 | 1520 | MiMo-V2.6-Pro |
| LMArena Vision: diagrams | Not measured | 1281 | Only MiMo-V2.6-Pro measured |
| LMArena Vision: homework | Not measured | 1264 | Only MiMo-V2.6-Pro measured |
| Neither model has a result on the other 13 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Solar Pro 4 | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| ProofBench | Not measured | 70.0% | Only MiMo-V2.6-Pro measured |
| LMArena Text: math | 1421 | 1500 | MiMo-V2.6-Pro |
| LMArena Text: mathematical work | 1427 | 1511 | MiMo-V2.6-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-V2.6-Pro | Leader |
|---|---|---|---|
| MedCode (Vals AI) | Not measured | 45.0% | Only MiMo-V2.6-Pro measured |
| LMArena Text: science | 1404 | 1506 | MiMo-V2.6-Pro |
| LMArena Text: medicine and healthcare | 1374 | 1497 | MiMo-V2.6-Pro |
| LMArena Text: legal and government | 1383 | 1485 | MiMo-V2.6-Pro |
| LMArena Text: business and finance | 1381 | 1468 | MiMo-V2.6-Pro |
| Neither model has a result on the other 13 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index06
| Benchmark | Solar Pro 4 | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| Design Arena: websites | 1176 | 1308 | MiMo-V2.6-Pro |
| Design Arena: UI components | 1147 | 1340 | MiMo-V2.6-Pro |
| Design Arena: game dev | 1169 | 1314 | MiMo-V2.6-Pro |
| Design Arena: data viz | 1177 | 1336 | MiMo-V2.6-Pro |
| Design Arena: 3D | 1178 | 1330 | MiMo-V2.6-Pro |
| Design Arena: all code categories | 1182 | 1317 | MiMo-V2.6-Pro |
| LiveBench design | Not measured | 78.5% | Only MiMo-V2.6-Pro measured |
| Neither model has a result on the other 2 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index012
| Benchmark | Solar Pro 4 | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| Vals Index | Not measured | 57.8% | Only MiMo-V2.6-Pro measured |
| LiveBench data analysis | Not measured | 72.3% | Only MiMo-V2.6-Pro measured |
| Public Benefits Bench (Vals AI) | Not measured | 68.9% | Only MiMo-V2.6-Pro measured |
| SAGE (Vals AI) | Not measured | 45.0% | Only MiMo-V2.6-Pro measured |
| MedScribe (Vals AI) | Not measured | 88.3% | Only MiMo-V2.6-Pro measured |
| Long context reasoning (AA-LCR) | 70.7% | 86.3% | MiMo-V2.6-Pro |
| LMArena Text | 1388 | 1491 | MiMo-V2.6-Pro |
| LMArena Text: instruction following | 1375 | 1491 | MiMo-V2.6-Pro |
| LMArena Text: creative writing | 1317 | 1466 | MiMo-V2.6-Pro |
| LMArena Vision | Not measured | 1263 | Only MiMo-V2.6-Pro measured |
| LMArena Text: English | 1414 | 1504 | MiMo-V2.6-Pro |
| LMArena Text: non-English | 1363 | 1474 | MiMo-V2.6-Pro |
| LMArena Text: Chinese | 1422 | 1529 | MiMo-V2.6-Pro |
| LMArena Text: German | 1358 | Not measured | Only Solar Pro 4 measured |
| LMArena Text: Japanese | 1320 | Not measured | Only Solar Pro 4 measured |
| LMArena Text: Korean | 1383 | Not measured | Only Solar Pro 4 measured |
| LMArena Text: French | 1400 | Not measured | Only Solar Pro 4 measured |
| LMArena Text: Spanish | 1409 | Not measured | Only Solar Pro 4 measured |
| LMArena Text: Russian | 1357 | 1479 | MiMo-V2.6-Pro |
| LMArena Text: Polish | 1304 | Not measured | Only Solar Pro 4 measured |
| LMArena Text: multi-turn | 1385 | 1466 | MiMo-V2.6-Pro |
| LMArena Text: longer queries | 1382 | 1501 | MiMo-V2.6-Pro |
| LMArena Text: writing and language | 1344 | 1470 | MiMo-V2.6-Pro |
| LMArena Text: entertainment and media | 1332 | 1465 | MiMo-V2.6-Pro |
| LMArena Vision: English | Not measured | 1268 | Only MiMo-V2.6-Pro measured |
| LMArena Vision: reading text | Not measured | 1270 | Only MiMo-V2.6-Pro measured |
| Neither model has a result on the other 20 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Solar Pro 4 | MiMo-V2.6-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-V2.6-Pro |
|---|---|---|
| Maker | Upstage | Xiaomi |
| Weights | No public weights listed | Open weights |
| Released | August 10, 2026 | September 21, 2026 |
| Context window | 524K | 1.05M |
| Input $/Mtok | $0.15 | $0.435 |
| Output $/Mtok | $0.60 | $0.87 |
| Coding index | Not benchmarked | 65.4 |
| Independent measurements behind it | 1 | 4 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Solar Pro 4 better than MiMo-V2.6-Pro for coding?
Only MiMo-V2.6-Pro has a coding score, 65.4 on the Vibe Coding Index; Solar Pro 4 has none, so the two cannot be ranked on coding. Pick Solar Pro 4 for output tokens 1.4x cheaper ($0.60 vs $0.87 per million).
Which is cheaper, Solar Pro 4 or MiMo-V2.6-Pro?
Solar Pro 4 costs $0.15 per million input tokens and $0.60 per million output tokens; MiMo-V2.6-Pro costs $0.435 and $0.87. Cost per solved task is known for neither of them.
Which has the bigger context window, Solar Pro 4 or MiMo-V2.6-Pro?
MiMo-V2.6-Pro, with 1.05M tokens against 524K.
How many benchmarks is the Solar Pro 4 vs MiMo-V2.6-Pro comparison based on?
37 benchmarks have a result for both models as of October 22, 2026. Solar Pro 4's coding index rests on 1 independent benchmark and MiMo-V2.6-Pro's on 4. Where only one model has a result, the page says so instead of naming a winner.