MiniMax M2.5 vs Solar Mini 4
Solar Mini 4 leads MiniMax M2.5 on the Artificial Analysis Intelligence Index, 24.1 to 22.8, and Solar Mini 4 costs 6.0x less per output token ($0.20 vs $1.20 per million). Updated October 22, 2026; 7 benchmarks have a result for both.
MiniMax M2.5 or Solar Mini 4: which to pick
Only MiniMax M2.5 has a coding score, 37.2 on the Vibe Coding Index; Solar Mini 4 has none, so the two cannot be ranked on coding.
Pick Solar Mini 4 for output tokens 6.0x cheaper ($0.20 vs $1.20 per million) and a larger context window (524K against 205K tokens).
- Shared results
- 7
- MiniMax M2.5 only
- 64
- Solar Mini 4 only
- 1
- Like-for-like categories
- 4 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 M2.5 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Solar Mini 4
Solar Mini 4 leads, 24.1 against 22.8.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only MiniMax M2.5 has a GPQA Diamond result, 82.1%.
Directional only
Math
AIME
No call
Only MiniMax M2.5 has a AIME result, 88.8%.
Directional only
Knowledge
MMLU Pro
No call
Only MiniMax M2.5 has a MMLU Pro result, 80.1%.
Directional only
Web design
Design Arena: websites
MiniMax M2.5
MiniMax M2.5 leads, 1222 against 1159.
Same board, both measured
Long documents
Listed context window
Solar Mini 4
Solar Mini 4 takes 524K tokens against 205K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Solar Mini 4
MiniMax M2.5 $0.0009, Solar Mini 4 $0.0001 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only MiniMax M2.5 has the number, $0.62.
Directional only
At a glance
- Coding index
- MiniMax M2.5 37.2 from 3 benchmarks, Solar Mini 4 not benchmarked.
- Widest category
- General, 10.0 points apart on average over 1 shared benchmark.
- Widest single gap
- Design Arena: UI components: MiniMax M2.5 1170 against Solar Mini 4 1073, 12.1 points apart on a 0 to 100 scale.
- Output price
- MiniMax M2.5 $1.20 against Solar Mini 4 $0.20 per million output tokens, 6.0x apart.
- Context window
- MiniMax M2.5 takes 205K tokens, Solar Mini 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 M2.5 | Bars | Solar Mini 4 | Ties |
|---|---|---|---|---|
| Intelligence | 0 | 1 | ||
| Reasoning | 0 | 1 | ||
| Web design | 4 | 0 | ||
| General | 0 | 1 | ||
| All shared boards | 4 | 3 |
CodingDirectional onlySix of these boards feed the Vibe Coding Index17 boards, none shared
| Benchmark | MiniMax M2.5 | Solar Mini 4 | Leader |
|---|---|---|---|
| SWE-bench Verified | 75.8% | Not measured | Only MiniMax M2.5 measured |
| SWE-bench Multilingual | 68.3% | Not measured | Only MiniMax M2.5 measured |
| LMArena WebDev | 1386 | Not measured | Only MiniMax M2.5 measured |
| LiveCodeBench (Vals AI) | 79.2% | Not measured | Only MiniMax M2.5 measured |
| SWE-bench Verified (Vals AI) | 74.2% | Not measured | Only MiniMax M2.5 measured |
| Vibe Code Bench (Vals AI) | 14.8% | Not measured | Only MiniMax M2.5 measured |
| SciCode | Not measured | 47.6% | Only Solar Mini 4 measured |
| Terminal-Bench Hard (Artificial Analysis run) | 34.8% | Not measured | Only MiniMax M2.5 measured |
| Terminal-Bench | 42.7% | Not measured | Only MiniMax M2.5 measured |
| ALE-Bench | 618.2 | Not measured | Only MiniMax M2.5 measured |
| LMArena Text: coding | 1380 | Not measured | Only MiniMax M2.5 measured |
| LMArena Text: software and IT | 1383 | Not measured | Only MiniMax M2.5 measured |
| LMArena WebDev: React | 1374 | Not measured | Only MiniMax M2.5 measured |
| LMArena WebDev: HTML | 1414 | Not measured | Only MiniMax M2.5 measured |
| SWE Atlas: Codebase QnA | 10.3% | Not measured | Only MiniMax M2.5 measured |
| SWE Atlas: Refactoring | 19.5% | Not measured | Only MiniMax M2.5 measured |
| SWE Atlas: Test Writing | 18.6% | Not measured | Only MiniMax M2.5 measured |
| 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 M2.5 | Solar Mini 4 | Leader |
|---|---|---|---|
| AA Intelligence Index | 22.8 | 24.1 | Solar Mini 4 |
| Epoch Capabilities Index | 146.6 | Not measured | Only MiniMax M2.5 measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | MiniMax M2.5 | Solar Mini 4 | Leader |
|---|---|---|---|
| τ²-Bench Telecom | 95.3% | Not measured | Only MiniMax M2.5 measured |
| Vending-Bench 2 | -$23 | Not measured | Only MiniMax M2.5 measured |
| Neither model has a result on the other 40 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | MiniMax M2.5 | Solar Mini 4 | Leader |
|---|---|---|---|
| GPQA Diamond | 82.1% | Not measured | Only MiniMax M2.5 measured |
| GPQA Diamond (Artificial Analysis run) | 84.8% | Not measured | Only MiniMax M2.5 measured |
| Humanity's Last Exam (Artificial Analysis run) | 20.5% | 25.8% | Solar Mini 4 |
| ARC-AGI | 63.7% | Not measured | Only MiniMax M2.5 measured |
| ARC-AGI-2 | 4.9% | Not measured | Only MiniMax M2.5 measured |
| LMArena Text: hard prompts | 1372 | Not measured | Only MiniMax M2.5 measured |
| LMArena Text: expert | 1378 | Not measured | Only MiniMax M2.5 measured |
| LMArena Text: hard prompts in English | 1384 | Not measured | Only MiniMax M2.5 measured |
| Kagi LLM Benchmark | 55.2% | Not measured | Only MiniMax M2.5 measured |
| Neither model has a result on the other 14 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
| Benchmark | MiniMax M2.5 | Solar Mini 4 | Leader |
|---|---|---|---|
| AIME | 88.8% | Not measured | Only MiniMax M2.5 measured |
| ProofBench | 4.0% | Not measured | Only MiniMax M2.5 measured |
| LMArena Text: math | 1378 | Not measured | Only MiniMax M2.5 measured |
| LMArena Text: mathematical work | 1378 | Not measured | Only MiniMax M2.5 measured |
| Neither model has a result on the other 10 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index10 boards, none shared
| Benchmark | MiniMax M2.5 | Solar Mini 4 | Leader |
|---|---|---|---|
| MMLU Pro | 80.1% | Not measured | Only MiniMax M2.5 measured |
| LegalBench (Vals AI) | 80.0% | Not measured | Only MiniMax M2.5 measured |
| CaseLaw (Vals AI) | 53.5% | Not measured | Only MiniMax M2.5 measured |
| CorpFin (Vals AI) | 59.6% | Not measured | Only MiniMax M2.5 measured |
| TaxEval (Vals AI) | 68.2% | Not measured | Only MiniMax M2.5 measured |
| MedQA (Vals AI) | 92.5% | Not measured | Only MiniMax M2.5 measured |
| LMArena Text: science | 1369 | Not measured | Only MiniMax M2.5 measured |
| LMArena Text: medicine and healthcare | 1357 | Not measured | Only MiniMax M2.5 measured |
| LMArena Text: legal and government | 1366 | Not measured | Only MiniMax M2.5 measured |
| LMArena Text: business and finance | 1356 | Not measured | Only MiniMax M2.5 measured |
| Neither model has a result on the other 10 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | MiniMax M2.5 | Solar Mini 4 | Leader |
|---|---|---|---|
| Design Arena: websites | 1222 | 1159 | MiniMax M2.5 |
| Design Arena: UI components | 1170 | 1073 | MiniMax M2.5 |
| Design Arena: game dev | 1176 | 1105 | MiniMax M2.5 |
| Design Arena: data viz | 1172 | Not measured | Only MiniMax M2.5 measured |
| Design Arena: 3D | 1170 | Not measured | Only MiniMax M2.5 measured |
| Design Arena: all code categories | 1207 | 1149 | MiniMax M2.5 |
| Design Arena: SVG | 1150 | Not measured | Only MiniMax M2.5 measured |
| Neither model has a result on the other 2 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | MiniMax M2.5 | Solar Mini 4 | Leader |
|---|---|---|---|
| IFBench | 71.6% | Not measured | Only MiniMax M2.5 measured |
| Long context reasoning (AA-LCR) | 73.3% | 83.3% | Solar Mini 4 |
| CL-bench | 11.4% | Not measured | Only MiniMax M2.5 measured |
| CL-bench Life | 6.3% | Not measured | Only MiniMax M2.5 measured |
| LMArena Text | 1359 | Not measured | Only MiniMax M2.5 measured |
| LMArena Text: instruction following | 1353 | Not measured | Only MiniMax M2.5 measured |
| LMArena Text: creative writing | 1331 | Not measured | Only MiniMax M2.5 measured |
| LMArena Text: English | 1380 | Not measured | Only MiniMax M2.5 measured |
| LMArena Text: non-English | 1338 | Not measured | Only MiniMax M2.5 measured |
| LMArena Text: Chinese | 1393 | Not measured | Only MiniMax M2.5 measured |
| LMArena Text: German | 1361 | Not measured | Only MiniMax M2.5 measured |
| LMArena Text: Japanese | 1171 | Not measured | Only MiniMax M2.5 measured |
| LMArena Text: Korean | 1233 | Not measured | Only MiniMax M2.5 measured |
| LMArena Text: French | 1363 | Not measured | Only MiniMax M2.5 measured |
| LMArena Text: Spanish | 1353 | Not measured | Only MiniMax M2.5 measured |
| LMArena Text: Russian | 1359 | Not measured | Only MiniMax M2.5 measured |
| LMArena Text: Polish | 1334 | Not measured | Only MiniMax M2.5 measured |
| LMArena Text: multi-turn | 1364 | Not measured | Only MiniMax M2.5 measured |
| LMArena Text: longer queries | 1366 | Not measured | Only MiniMax M2.5 measured |
| LMArena Text: writing and language | 1345 | Not measured | Only MiniMax M2.5 measured |
| LMArena Text: entertainment and media | 1329 | Not measured | Only MiniMax M2.5 measured |
| 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 M2.5 | Solar Mini 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 Mini 4 costs less
Repository review
50K input + 3K output tokens
Solar Mini 4 costs less
Agent loop
200K input + 10K output tokens
Solar Mini 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 M2.5 | Upstage Solar Mini 4 |
|---|---|---|
| Maker | MiniMax | Upstage |
| Weights | Open weights | No public weights listed |
| Released | February 12, 2026 | September 23, 2026 |
| Context window | 205K | 524K |
| Input $/Mtok | $0.30 | $0.05 |
| Output $/Mtok | $1.20 | $0.20 |
| Coding index | 37.2 | Not benchmarked |
| Independent measurements behind it | 3 | 0 |
| Cost per solved task | $0.62 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is MiniMax M2.5 better than Solar Mini 4 for coding?
Only MiniMax M2.5 has a coding score, 37.2 on the Vibe Coding Index; Solar Mini 4 has none, so the two cannot be ranked on coding. Pick Solar Mini 4 for output tokens 6.0x cheaper ($0.20 vs $1.20 per million) and a larger context window (524K against 205K tokens).
Which is cheaper, MiniMax M2.5 or Solar Mini 4?
MiniMax M2.5 costs $0.30 per million input tokens and $1.20 per million output tokens; Solar Mini 4 costs $0.05 and $0.20. Cost per solved task is known for MiniMax M2.5 only.
Which has the bigger context window, MiniMax M2.5 or Solar Mini 4?
Solar Mini 4, with 524K tokens against 205K.
How many benchmarks is the MiniMax M2.5 vs Solar Mini 4 comparison based on?
7 benchmarks have a result for both models as of October 22, 2026. MiniMax M2.5's coding index rests on 3 independent benchmarks and Solar Mini 4's on 0. Where only one model has a result, the page says so instead of naming a winner.