Qwen3.5-35B-A3B vs Solar Pro 3
Qwen3.5-35B-A3B leads Solar Pro 3 on the Artificial Analysis Intelligence Index, 19.3 to 7.8, and Solar Pro 3 costs 2.2x less per output token ($0.60 vs $1.30 per million). Updated October 22, 2026; 7 benchmarks have a result for both.
Qwen3.5-35B-A3B or Solar Pro 3: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Qwen3.5-35B-A3B for a larger context window (262K against 131K tokens).
- Shared results
- 7
- Qwen3.5-35B-A3B only
- 39
- Solar Pro 3 only
- 3
- Like-for-like categories
- 5 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
Qwen3.5-35B-A3B
Qwen3.5-35B-A3B leads, 19.3 against 7.8.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Solar Pro 3 has a AA Agentic Index result, 1.4.
Directional only
Long documents
Listed context window
Qwen3.5-35B-A3B
Qwen3.5-35B-A3B takes 262K tokens against 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Solar Pro 3
Qwen3.5-35B-A3B $0.0008, Solar Pro 3 $0.0004 per turn.
List prices
At a glance
- Coding index
- Qwen3.5-35B-A3B not benchmarked, Solar Pro 3 not benchmarked.
- Widest category
- General, 20.5 points apart on average over 2 shared benchmarks.
- Widest single gap
- Long context reasoning (AA-LCR): Qwen3.5-35B-A3B 72.0% against Solar Pro 3 32.3%, 39.7 points apart on a 0 to 100 scale.
- Output price
- Qwen3.5-35B-A3B $1.30 against Solar Pro 3 $0.60 per million output tokens, 2.2x apart.
- Context window
- Qwen3.5-35B-A3B takes 262K tokens, Solar Pro 3 131K.
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 | Qwen3.5-35B-A3B | Bars | Solar Pro 3 | Ties |
|---|---|---|---|---|
| Coding | 1 | 0 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 2 | 0 | ||
| General | 2 | 0 | ||
| All shared boards | 7 | 0 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index10
| Benchmark | Qwen3.5-35B-A3B | Solar Pro 3 | Leader |
|---|---|---|---|
| LMArena WebDev | 1254 | Not measured | Only Qwen3.5-35B-A3B measured |
| AA Coding Index | Not measured | 16.2 | Only Solar Pro 3 measured |
| SciCode | Not measured | 25.5% | Only Solar Pro 3 measured |
| Terminal-Bench Hard (Artificial Analysis run) | 26.5% | 7.6% | Qwen3.5-35B-A3B |
| ALE-Bench | 221.8 | Not measured | Only Qwen3.5-35B-A3B measured |
| LMArena Text: coding | 1410 | Not measured | Only Qwen3.5-35B-A3B measured |
| LMArena Text: software and IT | 1415 | Not measured | Only Qwen3.5-35B-A3B measured |
| LMArena WebDev: React | 1238 | Not measured | Only Qwen3.5-35B-A3B measured |
| LMArena WebDev: HTML | 1301 | Not measured | Only Qwen3.5-35B-A3B measured |
| Neither model has a result on the other 34 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Qwen3.5-35B-A3B | Solar Pro 3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 19.3 | 7.8 | Qwen3.5-35B-A3B |
| Epoch Capabilities Index | 142.5 | Not measured | Only Qwen3.5-35B-A3B measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Qwen3.5-35B-A3B | Solar Pro 3 | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 1.4 | Only Solar Pro 3 measured |
| τ²-Bench Telecom | 89.2% | 86.3% | Qwen3.5-35B-A3B |
| Vending-Bench 2 | $463 | Not measured | Only Qwen3.5-35B-A3B measured |
| Neither model has a result on the other 39 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Qwen3.5-35B-A3B | Solar Pro 3 | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 84.5% | 72.4% | Qwen3.5-35B-A3B |
| Humanity's Last Exam (Artificial Analysis run) | 21.0% | 10.3% | Qwen3.5-35B-A3B |
| GPQA Diamond (Epoch AI run) | 83.5% | Not measured | Only Qwen3.5-35B-A3B measured |
| LMArena Text: hard prompts | 1400 | Not measured | Only Qwen3.5-35B-A3B measured |
| LMArena Text: expert | 1408 | Not measured | Only Qwen3.5-35B-A3B measured |
| LMArena Text: hard prompts in English | 1411 | Not measured | Only Qwen3.5-35B-A3B measured |
| Neither model has a result on the other 17 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
| Benchmark | Qwen3.5-35B-A3B | Solar Pro 3 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 70.0% | Not measured | Only Qwen3.5-35B-A3B measured |
| LMArena Text: math | 1404 | Not measured | Only Qwen3.5-35B-A3B measured |
| LMArena Text: mathematical work | 1410 | Not measured | Only Qwen3.5-35B-A3B measured |
| MathArena | 14.7% | Not measured | Only Qwen3.5-35B-A3B measured |
| Neither model has a result on the other 10 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
| Benchmark | Qwen3.5-35B-A3B | Solar Pro 3 | Leader |
|---|---|---|---|
| LMArena Text: science | 1413 | Not measured | Only Qwen3.5-35B-A3B measured |
| LMArena Text: medicine and healthcare | 1421 | Not measured | Only Qwen3.5-35B-A3B measured |
| LMArena Text: legal and government | 1399 | Not measured | Only Qwen3.5-35B-A3B measured |
| LMArena Text: business and finance | 1394 | Not measured | Only Qwen3.5-35B-A3B measured |
| Neither model has a result on the other 16 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Qwen3.5-35B-A3B | Solar Pro 3 | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Qwen3.5-35B-A3B | Solar Pro 3 | Leader |
|---|---|---|---|
| IFBench | 72.5% | 71.2% | Qwen3.5-35B-A3B |
| Long context reasoning (AA-LCR) | 72.0% | 32.3% | Qwen3.5-35B-A3B |
| DTBench | 80.0% | Not measured | Only Qwen3.5-35B-A3B measured |
| LMCA | 29.5% | Not measured | Only Qwen3.5-35B-A3B measured |
| LMArena Text | 1395 | Not measured | Only Qwen3.5-35B-A3B measured |
| LMArena Text: instruction following | 1379 | Not measured | Only Qwen3.5-35B-A3B measured |
| LMArena Text: creative writing | 1347 | Not measured | Only Qwen3.5-35B-A3B measured |
| LMArena Text: English | 1407 | Not measured | Only Qwen3.5-35B-A3B measured |
| LMArena Text: non-English | 1378 | Not measured | Only Qwen3.5-35B-A3B measured |
| LMArena Text: Chinese | 1457 | Not measured | Only Qwen3.5-35B-A3B measured |
| LMArena Text: German | 1367 | Not measured | Only Qwen3.5-35B-A3B measured |
| LMArena Text: Japanese | 1326 | Not measured | Only Qwen3.5-35B-A3B measured |
| LMArena Text: Korean | 1355 | Not measured | Only Qwen3.5-35B-A3B measured |
| LMArena Text: French | 1412 | Not measured | Only Qwen3.5-35B-A3B measured |
| LMArena Text: Spanish | 1390 | Not measured | Only Qwen3.5-35B-A3B measured |
| LMArena Text: Russian | 1376 | Not measured | Only Qwen3.5-35B-A3B measured |
| LMArena Text: Polish | 1385 | Not measured | Only Qwen3.5-35B-A3B measured |
| LMArena Text: multi-turn | 1390 | Not measured | Only Qwen3.5-35B-A3B measured |
| LMArena Text: longer queries | 1389 | Not measured | Only Qwen3.5-35B-A3B measured |
| LMArena Text: writing and language | 1365 | Not measured | Only Qwen3.5-35B-A3B measured |
| LMArena Text: entertainment and media | 1347 | Not measured | Only Qwen3.5-35B-A3B 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 | Qwen3.5-35B-A3B | Solar Pro 3 | 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 3 costs less
Repository review
50K input + 3K output tokens
Solar Pro 3 costs less
Agent loop
200K input + 10K output tokens
Solar Pro 3 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 | Qwen3.5-35B-A3B | Upstage Solar Pro 3 |
|---|---|---|
| Maker | Qwen | Upstage |
| Weights | Open weights | No public weights listed |
| Released | February 25, 2026 | January 27, 2026 |
| Context window | 262K | 131K |
| Input $/Mtok | $0.1625 | $0.15 |
| Output $/Mtok | $1.30 | $0.60 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 1 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Qwen3.5-35B-A3B better than Solar Pro 3 for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Qwen3.5-35B-A3B for a larger context window (262K against 131K tokens).
Which is cheaper, Qwen3.5-35B-A3B or Solar Pro 3?
Qwen3.5-35B-A3B costs $0.1625 per million input tokens and $1.30 per million output tokens; Solar Pro 3 costs $0.15 and $0.60. Cost per solved task is known for neither of them.
Which has the bigger context window, Qwen3.5-35B-A3B or Solar Pro 3?
Qwen3.5-35B-A3B, with 262K tokens against 131K.
How many benchmarks is the Qwen3.5-35B-A3B vs Solar Pro 3 comparison based on?
7 benchmarks have a result for both models as of October 22, 2026. Qwen3.5-35B-A3B's coding index rests on 1 independent benchmark and Solar Pro 3's on 0. Where only one model has a result, the page says so instead of naming a winner.