Qwen3.5 397B A17B vs Solar Pro 4
Solar Pro 4 leads Qwen3.5 397B A17B on the Artificial Analysis Intelligence Index, 28.2 to 21.4, and Solar Pro 4 costs 3.9x less per output token ($0.60 vs $2.34 per million). Updated October 22, 2026; 43 benchmarks have a result for both.
Qwen3.5 397B A17B or Solar Pro 4: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Qwen3.5 397B A17B for work measured by SciCode or AA Intelligence Index, where it leads.
- Shared results
- 43
- Qwen3.5 397B A17B only
- 23
- Solar Pro 4 only
- 2
- 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 21.4.
Same board, both measured
Web design
Design Arena: websites
Qwen3.5 397B A17B
Qwen3.5 397B A17B leads, 1190 against 1176.
Same board, both measured
Long documents
Listed context window
Solar Pro 4
Solar Pro 4 takes 524K tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Solar Pro 4
Qwen3.5 397B A17B $0.0016, Solar Pro 4 $0.0004 per turn.
List prices
At a glance
- Coding index
- Qwen3.5 397B A17B not benchmarked, Solar Pro 4 not benchmarked.
- Widest category
- General, 10.7 points apart on average over 18 shared benchmarks.
- Widest single gap
- LMArena Text: Polish: Qwen3.5 397B A17B 1447 against Solar Pro 4 1304, 23.8 points apart on a 0 to 100 scale.
- Output price
- Qwen3.5 397B A17B $2.34 against Solar Pro 4 $0.60 per million output tokens, 3.9x apart.
- Context window
- Qwen3.5 397B A17B takes 262K 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 | Qwen3.5 397B A17B | Bars | Solar Pro 4 | Ties |
|---|---|---|---|---|
| Coding | 6 | 1 | ||
| Intelligence | 0 | 1 | ||
| Reasoning | 4 | 1 | ||
| Math | 2 | 0 | ||
| Knowledge | 4 | 0 | ||
| Web design | 2 | 4 | ||
| General | 18 | 0 | ||
| All shared boards | 36 | 7 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index61
| Benchmark | Qwen3.5 397B A17B | Solar Pro 4 | Leader |
|---|---|---|---|
| LMArena WebDev | 1400 | 1371 | Qwen3.5 397B A17B |
| AA Coding Index | Not measured | 52.7 | Only Solar Pro 4 measured |
| SciCode | 44.8% | 48.0% | Solar Pro 4 |
| Terminal-Bench Hard (Artificial Analysis run) | 40.9% | Not measured | Only Qwen3.5 397B A17B measured |
| ALE-Bench | 621.9 | 179.3 | Qwen3.5 397B A17B |
| LMArena Text: coding | 1464 | 1438 | Qwen3.5 397B A17B |
| LMArena Text: software and IT | 1463 | 1431 | Qwen3.5 397B A17B |
| LMArena WebDev: React | 1388 | 1363 | Qwen3.5 397B A17B |
| LMArena WebDev: HTML | 1410 | 1371 | Qwen3.5 397B A17B |
| Neither model has a result on the other 34 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Qwen3.5 397B A17B | Solar Pro 4 | Leader |
|---|---|---|---|
| AA Intelligence Index | 21.4 | 28.2 | Solar Pro 4 |
| Epoch Capabilities Index | 146.8 | Not measured | Only Qwen3.5 397B A17B measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
| Benchmark | Qwen3.5 397B A17B | Solar Pro 4 | Leader |
|---|---|---|---|
| Design Arena: agents building web apps | Not measured | 1105 | Only Solar Pro 4 measured |
| τ²-Bench Telecom | 95.6% | Not measured | Only Qwen3.5 397B A17B measured |
| APEX-Agents | 24.9% | Not measured | Only Qwen3.5 397B A17B measured |
| Neither model has a result on the other 39 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index41
| Benchmark | Qwen3.5 397B A17B | Solar Pro 4 | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 89.3% | 89.1% | Qwen3.5 397B A17B |
| Humanity's Last Exam (Artificial Analysis run) | 29.0% | 29.8% | Solar Pro 4 |
| GPQA Diamond (Epoch AI run) | 86.4% | Not measured | Only Qwen3.5 397B A17B measured |
| Mystery game puzzles | 18.0% | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: hard prompts | 1448 | 1400 | Qwen3.5 397B A17B |
| LMArena Text: expert | 1462 | 1428 | Qwen3.5 397B A17B |
| LMArena Text: hard prompts in English | 1450 | 1427 | Qwen3.5 397B A17B |
| LMArena Vision: diagrams | 1277 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Vision: homework | 1292 | Not measured | Only Qwen3.5 397B A17B measured |
| Neither model has a result on the other 14 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Qwen3.5 397B A17B | Solar Pro 4 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 88.9% | Not measured | Only Qwen3.5 397B A17B measured |
| FrontierMath, tiers 1 to 3 | 31.2% | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: math | 1453 | 1421 | Qwen3.5 397B A17B |
| LMArena Text: mathematical work | 1454 | 1427 | Qwen3.5 397B A17B |
| MathArena | 19.2% | Not measured | Only Qwen3.5 397B A17B measured |
| Neither model has a result on the other 9 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Qwen3.5 397B A17B | Solar Pro 4 | Leader |
|---|---|---|---|
| LMArena Text: science | 1457 | 1404 | Qwen3.5 397B A17B |
| LMArena Text: medicine and healthcare | 1455 | 1374 | Qwen3.5 397B A17B |
| LMArena Text: legal and government | 1441 | 1383 | Qwen3.5 397B A17B |
| LMArena Text: business and finance | 1435 | 1381 | Qwen3.5 397B A17B |
| Neither model has a result on the other 16 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index24
| Benchmark | Qwen3.5 397B A17B | Solar Pro 4 | Leader |
|---|---|---|---|
| Design Arena: websites | 1190 | 1176 | Qwen3.5 397B A17B |
| Design Arena: UI components | 1161 | 1147 | Qwen3.5 397B A17B |
| Design Arena: game dev | 1140 | 1169 | Solar Pro 4 |
| Design Arena: data viz | 1175 | 1178 | Solar Pro 4 |
| Design Arena: 3D | 1160 | 1178 | Solar Pro 4 |
| Design Arena: all code categories | 1179 | 1181 | Solar Pro 4 |
| Design Arena: SVG | 1139 | Not measured | Only Qwen3.5 397B A17B measured |
| Neither model has a result on the other 2 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index180
| Benchmark | Qwen3.5 397B A17B | Solar Pro 4 | Leader |
|---|---|---|---|
| IFBench | 78.8% | Not measured | Only Qwen3.5 397B A17B measured |
| Long context reasoning (AA-LCR) | 77.3% | 70.7% | Qwen3.5 397B A17B |
| DTBench | 87.5% | Not measured | Only Qwen3.5 397B A17B measured |
| LMCA | 37.9% | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text | 1437 | 1388 | Qwen3.5 397B A17B |
| LMArena Text: instruction following | 1424 | 1375 | Qwen3.5 397B A17B |
| LMArena Text: creative writing | 1402 | 1317 | Qwen3.5 397B A17B |
| LMArena Vision | 1262 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: English | 1443 | 1414 | Qwen3.5 397B A17B |
| LMArena Text: non-English | 1430 | 1363 | Qwen3.5 397B A17B |
| LMArena Text: Chinese | 1498 | 1422 | Qwen3.5 397B A17B |
| LMArena Text: German | 1445 | 1358 | Qwen3.5 397B A17B |
| LMArena Text: Japanese | 1429 | 1320 | Qwen3.5 397B A17B |
| LMArena Text: Korean | 1384 | 1383 | Qwen3.5 397B A17B |
| LMArena Text: French | 1462 | 1400 | Qwen3.5 397B A17B |
| LMArena Text: Spanish | 1441 | 1409 | Qwen3.5 397B A17B |
| LMArena Text: Russian | 1430 | 1357 | Qwen3.5 397B A17B |
| LMArena Text: Polish | 1447 | 1304 | Qwen3.5 397B A17B |
| LMArena Text: multi-turn | 1446 | 1385 | Qwen3.5 397B A17B |
| LMArena Text: longer queries | 1441 | 1382 | Qwen3.5 397B A17B |
| LMArena Text: writing and language | 1415 | 1344 | Qwen3.5 397B A17B |
| LMArena Text: entertainment and media | 1399 | 1332 | Qwen3.5 397B A17B |
| LMArena Vision: English | 1268 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Vision: Chinese | 1314 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Vision: reading text | 1271 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Vision: humor | 1262 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Vision: captioning | 1230 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Vision: recognizing things | 1265 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Vision: creative writing | 1260 | Not measured | Only Qwen3.5 397B A17B measured |
| Neither model has a result on the other 19 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Qwen3.5 397B A17B | 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 | Qwen3.5 397B A17B | Upstage Solar Pro 4 |
|---|---|---|
| Maker | Qwen | Upstage |
| Weights | Open weights | No public weights listed |
| Released | February 16, 2026 | August 10, 2026 |
| Context window | 262K | 524K |
| Input $/Mtok | $0.39 | $0.15 |
| Output $/Mtok | $2.34 | $0.60 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 1 | 1 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Qwen3.5 397B A17B better than Solar Pro 4 for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Qwen3.5 397B A17B for work measured by SciCode or AA Intelligence Index, where it leads.
Which is cheaper, Qwen3.5 397B A17B or Solar Pro 4?
Qwen3.5 397B A17B costs $0.39 per million input tokens and $2.34 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, Qwen3.5 397B A17B or Solar Pro 4?
Solar Pro 4, with 524K tokens against 262K.
How many benchmarks is the Qwen3.5 397B A17B vs Solar Pro 4 comparison based on?
43 benchmarks have a result for both models as of October 22, 2026. Qwen3.5 397B A17B's coding index rests on 1 independent benchmark and Solar Pro 4's on 1. Where only one model has a result, the page says so instead of naming a winner.