MiniMax M2.7 vs Solar Pro 4
Solar Pro 4 leads MiniMax M2.7 on the Artificial Analysis Intelligence Index, 28.2 to 22.8, and Solar Pro 4 costs 2.0x less per output token ($0.60 vs $1.20 per million). Updated October 22, 2026; 44 benchmarks have a result for both.
MiniMax M2.7 or Solar Pro 4: which to pick
Only MiniMax M2.7 has a coding score, 36.2 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 2.0x cheaper ($0.60 vs $1.20 per million) and a larger context window (524K against 205K tokens).
- Shared results
- 44
- MiniMax M2.7 only
- 30
- Solar Pro 4 only
- 1
- Like-for-like categories
- 7 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 MiniMax M2.7 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Solar Pro 4
Solar Pro 4 leads, 28.2 against 22.8.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only MiniMax M2.7 has a AA Agentic Index result, 15.3.
Directional only
Reasoning
GPQA Diamond
No call
Only MiniMax M2.7 has a GPQA Diamond result, 86.6%.
Directional only
Math
AIME
No call
Only MiniMax M2.7 has a AIME result, 91.0%.
Directional only
Knowledge
MMLU Pro
No call
Only MiniMax M2.7 has a MMLU Pro result, 80.4%.
Directional only
Web design
Design Arena: websites
MiniMax M2.7
MiniMax M2.7 leads, 1242 against 1176.
Same board, both measured
Long documents
Listed context window
Solar Pro 4
Solar Pro 4 takes 524K tokens against 205K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Solar Pro 4
MiniMax M2.7 $0.0009, Solar Pro 4 $0.0004 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only MiniMax M2.7 has the number, $0.64.
Directional only
At a glance
- Coding index
- MiniMax M2.7 36.2 from 3 benchmarks, Solar Pro 4 not benchmarked.
- Widest category
- Web design, 6.0 points apart on average over 6 shared benchmarks.
- Widest single gap
- ALE-Bench: MiniMax M2.7 599.3 against Solar Pro 4 179.3, 14.0 points apart on a 0 to 100 scale.
- Output price
- MiniMax M2.7 $1.20 against Solar Pro 4 $0.60 per million output tokens, 2.0x apart.
- Context window
- MiniMax M2.7 takes 205K tokens, Solar Pro 4 524K.
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 | MiniMax M2.7 | Bars | Solar Pro 4 | Ties |
|---|---|---|---|---|
| Coding | 7 | 1 | ||
| Intelligence | 0 | 1 | ||
| Reasoning | 3 | 2 | ||
| Math | 1 | 1 | ||
| Knowledge | 4 | 0 | ||
| Web design | 6 | 0 | ||
| General | 15 | 3 | ||
| All shared boards | 36 | 8 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index71
| Benchmark | MiniMax M2.7 | Solar Pro 4 | Leader |
|---|---|---|---|
| LMArena WebDev | 1399 | 1371 | MiniMax M2.7 |
| AA Coding Index | 52.6 | 52.7 | Solar Pro 4 |
| LiveCodeBench (Vals AI) | 79.9% | Not measured | Only MiniMax M2.7 measured |
| SWE-bench Verified (Vals AI) | 73.8% | Not measured | Only MiniMax M2.7 measured |
| Vibe Code Bench (Vals AI) | 11.9% | Not measured | Only MiniMax M2.7 measured |
| Code migration (Vals AI) | 8.7% | Not measured | Only MiniMax M2.7 measured |
| ProgramBench (Vals AI) | 0.0% | Not measured | Only MiniMax M2.7 measured |
| Terminal-Bench 2.1 (Vals AI) | 48.7% | Not measured | Only MiniMax M2.7 measured |
| SciCode | 50.1% | 48.0% | MiniMax M2.7 |
| Terminal-Bench Hard (Artificial Analysis run) | 39.4% | Not measured | Only MiniMax M2.7 measured |
| Terminal-Bench | 45.1% | Not measured | Only MiniMax M2.7 measured |
| WeirdML | 37.0% | Not measured | Only MiniMax M2.7 measured |
| ALE-Bench | 599.3 | 179.3 | MiniMax M2.7 |
| LMArena Text: coding | 1454 | 1438 | MiniMax M2.7 |
| LMArena Text: software and IT | 1446 | 1431 | MiniMax M2.7 |
| LMArena WebDev: React | 1388 | 1363 | MiniMax M2.7 |
| LMArena WebDev: HTML | 1401 | 1371 | MiniMax M2.7 |
| Neither model has a result on the other 26 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | MiniMax M2.7 | Solar Pro 4 | Leader |
|---|---|---|---|
| AA Intelligence Index | 22.8 | 28.2 | Solar Pro 4 |
| Epoch Capabilities Index | 145.8 | Not measured | Only MiniMax M2.7 measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
| Benchmark | MiniMax M2.7 | Solar Pro 4 | Leader |
|---|---|---|---|
| AA Agentic Index | 15.3 | Not measured | Only MiniMax M2.7 measured |
| Design Arena: agents building web apps | Not measured | 1105 | Only Solar Pro 4 measured |
| Finance Agent (Vals AI) | 27.9% | Not measured | Only MiniMax M2.7 measured |
| Tax Agent Bench (Vals AI) | 6.9% | Not measured | Only MiniMax M2.7 measured |
| Legal Research Bench (Vals AI) | 10.6% | Not measured | Only MiniMax M2.7 measured |
| Excel Modeling Benchmark (Vals AI) | 28.4% | Not measured | Only MiniMax M2.7 measured |
| τ²-Bench Telecom | 84.8% | Not measured | Only MiniMax M2.7 measured |
| Neither model has a result on the other 35 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index32
| Benchmark | MiniMax M2.7 | Solar Pro 4 | Leader |
|---|---|---|---|
| GPQA Diamond | 86.6% | Not measured | Only MiniMax M2.7 measured |
| GPQA Diamond (Artificial Analysis run) | 87.4% | 89.1% | Solar Pro 4 |
| Humanity's Last Exam (Artificial Analysis run) | 29.6% | 29.8% | Solar Pro 4 |
| LMArena Text: hard prompts | 1422 | 1400 | MiniMax M2.7 |
| LMArena Text: expert | 1443 | 1428 | MiniMax M2.7 |
| LMArena Text: hard prompts in English | 1441 | 1427 | MiniMax M2.7 |
| Neither model has a result on the other 17 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | MiniMax M2.7 | Solar Pro 4 | Leader |
|---|---|---|---|
| AIME | 91.0% | Not measured | Only MiniMax M2.7 measured |
| ProofBench | 3.0% | Not measured | Only MiniMax M2.7 measured |
| LMArena Text: math | 1421 | 1421 | Solar Pro 4 |
| LMArena Text: mathematical work | 1437 | 1427 | MiniMax M2.7 |
| Neither model has a result on the other 10 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | MiniMax M2.7 | Solar Pro 4 | Leader |
|---|---|---|---|
| MMLU Pro | 80.4% | Not measured | Only MiniMax M2.7 measured |
| LegalBench (Vals AI) | 84.0% | Not measured | Only MiniMax M2.7 measured |
| CaseLaw (Vals AI) | 60.9% | Not measured | Only MiniMax M2.7 measured |
| CorpFin (Vals AI) | 61.2% | Not measured | Only MiniMax M2.7 measured |
| TaxEval (Vals AI) | 66.6% | Not measured | Only MiniMax M2.7 measured |
| MedCode (Vals AI) | 34.4% | Not measured | Only MiniMax M2.7 measured |
| LMArena Text: science | 1416 | 1404 | MiniMax M2.7 |
| LMArena Text: medicine and healthcare | 1409 | 1374 | MiniMax M2.7 |
| LMArena Text: legal and government | 1403 | 1383 | MiniMax M2.7 |
| LMArena Text: business and finance | 1407 | 1381 | MiniMax M2.7 |
| Neither model has a result on the other 10 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | MiniMax M2.7 | Solar Pro 4 | Leader |
|---|---|---|---|
| Design Arena: websites | 1242 | 1176 | MiniMax M2.7 |
| Design Arena: UI components | 1207 | 1147 | MiniMax M2.7 |
| Design Arena: game dev | 1209 | 1169 | MiniMax M2.7 |
| Design Arena: data viz | 1233 | 1178 | MiniMax M2.7 |
| Design Arena: 3D | 1194 | 1178 | MiniMax M2.7 |
| Design Arena: all code categories | 1233 | 1181 | MiniMax M2.7 |
| Design Arena: SVG | 1137 | Not measured | Only MiniMax M2.7 measured |
| Design Arena: ASCII art | 1136 | Not measured | Only MiniMax M2.7 measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index153
| Benchmark | MiniMax M2.7 | Solar Pro 4 | Leader |
|---|---|---|---|
| MedScribe (Vals AI) | 79.9% | Not measured | Only MiniMax M2.7 measured |
| IFBench | 75.7% | Not measured | Only MiniMax M2.7 measured |
| Long context reasoning (AA-LCR) | 78.3% | 70.7% | MiniMax M2.7 |
| ExploitBench | 13.3% | Not measured | Only MiniMax M2.7 measured |
| LMArena Text | 1405 | 1388 | MiniMax M2.7 |
| LMArena Text: instruction following | 1405 | 1375 | MiniMax M2.7 |
| LMArena Text: creative writing | 1354 | 1317 | MiniMax M2.7 |
| LMArena Text: English | 1426 | 1414 | MiniMax M2.7 |
| LMArena Text: non-English | 1382 | 1363 | MiniMax M2.7 |
| LMArena Text: Chinese | 1442 | 1422 | MiniMax M2.7 |
| LMArena Text: German | 1398 | 1358 | MiniMax M2.7 |
| LMArena Text: Japanese | 1260 | 1320 | Solar Pro 4 |
| LMArena Text: Korean | 1314 | 1383 | Solar Pro 4 |
| LMArena Text: French | 1424 | 1400 | MiniMax M2.7 |
| LMArena Text: Spanish | 1402 | 1409 | Solar Pro 4 |
| LMArena Text: Russian | 1383 | 1357 | MiniMax M2.7 |
| LMArena Text: Polish | 1387 | 1304 | MiniMax M2.7 |
| LMArena Text: multi-turn | 1412 | 1385 | MiniMax M2.7 |
| LMArena Text: longer queries | 1418 | 1382 | MiniMax M2.7 |
| LMArena Text: writing and language | 1376 | 1344 | MiniMax M2.7 |
| LMArena Text: entertainment and media | 1360 | 1332 | MiniMax M2.7 |
| Neither model has a result on the other 27 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | MiniMax M2.7 | Solar Pro 4 | 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 | MiniMax M2.7 | Upstage Solar Pro 4 |
|---|---|---|
| Maker | MiniMax | Upstage |
| Weights | Open weights | No public weights listed |
| Released | March 18, 2026 | August 10, 2026 |
| Context window | 205K | 524K |
| Input $/Mtok | $0.30 | $0.15 |
| Output $/Mtok | $1.20 | $0.60 |
| Coding index | 36.2 | Not benchmarked |
| Independent measurements behind it | 3 | 1 |
| Cost per solved task | $0.64 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is MiniMax M2.7 better than Solar Pro 4 for coding?
Only MiniMax M2.7 has a coding score, 36.2 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 2.0x cheaper ($0.60 vs $1.20 per million) and a larger context window (524K against 205K tokens).
Which is cheaper, MiniMax M2.7 or Solar Pro 4?
MiniMax M2.7 costs $0.30 per million input tokens and $1.20 per million output tokens; Solar Pro 4 costs $0.15 and $0.60. Cost per solved task is known for MiniMax M2.7 only.
Which has the bigger context window, MiniMax M2.7 or Solar Pro 4?
Solar Pro 4, with 524K tokens against 205K.
How many benchmarks is the MiniMax M2.7 vs Solar Pro 4 comparison based on?
44 benchmarks have a result for both models as of October 22, 2026. MiniMax M2.7's coding index rests on 3 independent benchmarks and Solar Pro 4's on 1. Where only one model has a result, the page says so instead of naming a winner.