Mistral Medium 3.1 vs Solar Pro 4
Solar Pro 4 leads Mistral Medium 3.1 on the Artificial Analysis Intelligence Index, 28.2 to 9.2, and Solar Pro 4 costs 3.3x less per output token ($0.60 vs $2.00 per million). Updated October 21, 2026; 41 benchmarks have a result for both.
Mistral Medium 3.1 or Solar Pro 4: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Mistral Medium 3.1 for work measured by AA Coding Index or SciCode, where it leads.
- Shared results
- 41
- Mistral Medium 3.1 only
- 33
- Solar Pro 4 only
- 4
- 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
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
Solar Pro 4
Solar Pro 4 leads, 28.2 against 9.2.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Mistral Medium 3.1 has a AA Agentic Index result, 1.9.
Directional only
Math
AIME
No call
Only Mistral Medium 3.1 has a AIME result, 42.3%.
Directional only
Knowledge
MMLU Pro
No call
Only Mistral Medium 3.1 has a MMLU Pro result, 75.3%.
Directional only
Web design
Design Arena: websites
Solar Pro 4
Solar Pro 4 leads, 1176 against 1133.
Same board, both measured
Long documents
Listed context window
Solar Pro 4
Solar Pro 4 takes 524K tokens against 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Solar Pro 4
Mistral Medium 3.1 $0.0014, Solar Pro 4 $0.0004 per turn.
List prices
At a glance
- Coding index
- Mistral Medium 3.1 not benchmarked, Solar Pro 4 not benchmarked.
- Widest category
- Intelligence, 19.0 points apart on average over 1 shared benchmark.
- Widest single gap
- AA Coding Index: Mistral Medium 3.1 20.5 against Solar Pro 4 52.7, 32.2 points apart on a 0 to 100 scale.
- Output price
- Mistral Medium 3.1 $2.00 against Solar Pro 4 $0.60 per million output tokens, 3.3x apart.
- Context window
- Mistral Medium 3.1 takes 131K 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 | Mistral Medium 3.1 | Bars | Solar Pro 4 | Ties |
|---|---|---|---|---|
| Coding | 2 | 3 | ||
| Intelligence | 0 | 1 | ||
| Reasoning | 2 | 3 | ||
| Math | 0 | 2 | ||
| Knowledge | 4 | 0 | ||
| Web design | 0 | 6 | ||
| General | 16 | 2 | ||
| All shared boards | 24 | 17 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index23
| Benchmark | Mistral Medium 3.1 | Solar Pro 4 | Leader |
|---|---|---|---|
| LMArena WebDev | Not measured | 1371 | Only Solar Pro 4 measured |
| AA Coding Index | 20.5 | 52.7 | Solar Pro 4 |
| LiveCodeBench (Vals AI) | 44.8% | Not measured | Only Mistral Medium 3.1 measured |
| LiveCodeBench (Artificial Analysis run) | 40.6% | Not measured | Only Mistral Medium 3.1 measured |
| SciCode | 32.4% | 48.0% | Solar Pro 4 |
| Terminal-Bench Hard (Artificial Analysis run) | 10.6% | Not measured | Only Mistral Medium 3.1 measured |
| ALE-Bench | 210.2 | 179.3 | Mistral Medium 3.1 |
| LMArena Text: coding | 1433 | 1438 | Solar Pro 4 |
| LMArena Text: software and IT | 1436 | 1431 | Mistral Medium 3.1 |
| LMArena WebDev: React | Not measured | 1363 | Only Solar Pro 4 measured |
| LMArena WebDev: HTML | Not measured | 1371 | Only Solar Pro 4 measured |
| Neither model has a result on the other 28 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Mistral Medium 3.1 | Solar Pro 4 | Leader |
|---|---|---|---|
| AA Intelligence Index | 9.2 | 28.2 | 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 index3 boards, none shared
| Benchmark | Mistral Medium 3.1 | Solar Pro 4 | Leader |
|---|---|---|---|
| AA Agentic Index | 1.9 | Not measured | Only Mistral Medium 3.1 measured |
| Design Arena: agents building web apps | Not measured | 1105 | Only Solar Pro 4 measured |
| τ²-Bench Telecom | 40.6% | Not measured | Only Mistral Medium 3.1 measured |
| Neither model has a result on the other 38 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index23
| Benchmark | Mistral Medium 3.1 | Solar Pro 4 | Leader |
|---|---|---|---|
| MMMU Pro (Vals AI) | 63.0% | Not measured | Only Mistral Medium 3.1 measured |
| GPQA Diamond (Artificial Analysis run) | 58.8% | 89.1% | Solar Pro 4 |
| Humanity's Last Exam (Artificial Analysis run) | 4.7% | 29.8% | Solar Pro 4 |
| LMArena Text: hard prompts | 1426 | 1400 | Mistral Medium 3.1 |
| LMArena Text: expert | 1408 | 1428 | Solar Pro 4 |
| LMArena Text: hard prompts in English | 1435 | 1427 | Mistral Medium 3.1 |
| LMArena Vision: diagrams | 1175 | Not measured | Only Mistral Medium 3.1 measured |
| LMArena Vision: homework | 1165 | Not measured | Only Mistral Medium 3.1 measured |
| Neither model has a result on the other 14 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Mistral Medium 3.1 | Solar Pro 4 | Leader |
|---|---|---|---|
| AIME | 42.3% | Not measured | Only Mistral Medium 3.1 measured |
| MATH 500 (Vals AI) | 87.0% | Not measured | Only Mistral Medium 3.1 measured |
| MGSM (Vals AI) | 90.9% | Not measured | Only Mistral Medium 3.1 measured |
| AA Math Index | 38.3 | Not measured | Only Mistral Medium 3.1 measured |
| AIME 2025 (Artificial Analysis run) | 38.3% | Not measured | Only Mistral Medium 3.1 measured |
| LMArena Text: math | 1408 | 1421 | Solar Pro 4 |
| LMArena Text: mathematical work | 1412 | 1427 | Solar Pro 4 |
| Neither model has a result on the other 6 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Mistral Medium 3.1 | Solar Pro 4 | Leader |
|---|---|---|---|
| MMLU Pro | 75.3% | Not measured | Only Mistral Medium 3.1 measured |
| LegalBench (Vals AI) | 62.0% | Not measured | Only Mistral Medium 3.1 measured |
| CorpFin (Vals AI) | 50.7% | Not measured | Only Mistral Medium 3.1 measured |
| TaxEval (Vals AI) | 70.3% | Not measured | Only Mistral Medium 3.1 measured |
| MortgageTax (Vals AI) | 36.5% | Not measured | Only Mistral Medium 3.1 measured |
| MedQA (Vals AI) | 78.2% | Not measured | Only Mistral Medium 3.1 measured |
| MMLU Pro (Artificial Analysis run) | 68.3% | Not measured | Only Mistral Medium 3.1 measured |
| LMArena Text: science | 1444 | 1404 | Mistral Medium 3.1 |
| LMArena Text: medicine and healthcare | 1449 | 1374 | Mistral Medium 3.1 |
| LMArena Text: legal and government | 1439 | 1383 | Mistral Medium 3.1 |
| LMArena Text: business and finance | 1418 | 1381 | Mistral Medium 3.1 |
| Neither model has a result on the other 7 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index06
| Benchmark | Mistral Medium 3.1 | Solar Pro 4 | Leader |
|---|---|---|---|
| Design Arena: websites | 1133 | 1176 | Solar Pro 4 |
| Design Arena: UI components | 1100 | 1150 | Solar Pro 4 |
| Design Arena: game dev | 1074 | 1170 | Solar Pro 4 |
| Design Arena: data viz | 1144 | 1177 | Solar Pro 4 |
| Design Arena: 3D | 1081 | 1178 | Solar Pro 4 |
| Design Arena: all code categories | 1120 | 1182 | Solar Pro 4 |
| Design Arena: SVG | 993 | Not measured | Only Mistral Medium 3.1 measured |
| Design Arena: ASCII art | 997 | Not measured | Only Mistral Medium 3.1 measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index162
| Benchmark | Mistral Medium 3.1 | Solar Pro 4 | Leader |
|---|---|---|---|
| IFBench | 39.8% | Not measured | Only Mistral Medium 3.1 measured |
| Long context reasoning (AA-LCR) | 42.7% | 70.7% | Solar Pro 4 |
| DTBench | 67.5% | Not measured | Only Mistral Medium 3.1 measured |
| LMCA | 19.1% | Not measured | Only Mistral Medium 3.1 measured |
| LMArena Text | 1424 | 1388 | Mistral Medium 3.1 |
| LMArena Text: instruction following | 1398 | 1375 | Mistral Medium 3.1 |
| LMArena Text: creative writing | 1391 | 1317 | Mistral Medium 3.1 |
| LMArena Vision | 1172 | Not measured | Only Mistral Medium 3.1 measured |
| LMArena Text: English | 1438 | 1414 | Mistral Medium 3.1 |
| LMArena Text: non-English | 1408 | 1363 | Mistral Medium 3.1 |
| LMArena Text: Chinese | 1447 | 1422 | Mistral Medium 3.1 |
| LMArena Text: German | 1432 | 1358 | Mistral Medium 3.1 |
| LMArena Text: Japanese | 1379 | 1320 | Mistral Medium 3.1 |
| LMArena Text: Korean | 1380 | 1383 | Solar Pro 4 |
| LMArena Text: French | 1460 | 1400 | Mistral Medium 3.1 |
| LMArena Text: Spanish | 1433 | 1409 | Mistral Medium 3.1 |
| LMArena Text: Russian | 1411 | 1357 | Mistral Medium 3.1 |
| LMArena Text: Polish | 1430 | 1304 | Mistral Medium 3.1 |
| LMArena Text: multi-turn | 1418 | 1385 | Mistral Medium 3.1 |
| LMArena Text: longer queries | 1406 | 1382 | Mistral Medium 3.1 |
| LMArena Text: writing and language | 1395 | 1344 | Mistral Medium 3.1 |
| LMArena Text: entertainment and media | 1390 | 1332 | Mistral Medium 3.1 |
| LMArena Vision: English | 1179 | Not measured | Only Mistral Medium 3.1 measured |
| LMArena Vision: Chinese | 1190 | Not measured | Only Mistral Medium 3.1 measured |
| LMArena Vision: reading text | 1175 | Not measured | Only Mistral Medium 3.1 measured |
| LMArena Vision: humor | 1168 | Not measured | Only Mistral Medium 3.1 measured |
| LMArena Vision: captioning | 1145 | Not measured | Only Mistral Medium 3.1 measured |
| LMArena Vision: recognizing things | 1147 | Not measured | Only Mistral Medium 3.1 measured |
| LMArena Vision: creative writing | 1200 | Not measured | Only Mistral Medium 3.1 measured |
| Neither model has a result on the other 17 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Mistral Medium 3.1 | 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 | Mistral Medium 3.1 | Upstage Solar Pro 4 |
|---|---|---|
| Maker | Mistral AI | Upstage |
| Weights | No public weights listed | No public weights listed |
| Released | August 13, 2025 | August 10, 2026 |
| Context window | 131K | 524K |
| Input $/Mtok | $0.40 | $0.15 |
| Output $/Mtok | $2.00 | $0.60 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 1 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Mistral Medium 3.1 better than Solar Pro 4 for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Mistral Medium 3.1 for work measured by AA Coding Index or SciCode, where it leads.
Which is cheaper, Mistral Medium 3.1 or Solar Pro 4?
Mistral Medium 3.1 costs $0.40 per million input tokens and $2.00 per million output tokens; Solar Pro 4 costs $0.15 and $0.60. Cost per solved task is known for neither of them.
Which has the bigger context window, Mistral Medium 3.1 or Solar Pro 4?
Solar Pro 4, with 524K tokens against 131K.
How many benchmarks is the Mistral Medium 3.1 vs Solar Pro 4 comparison based on?
41 benchmarks have a result for both models as of October 21, 2026. Mistral Medium 3.1's coding index rests on 0 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.