Qwen3 30B A3B Instruct 2507 vs Solar Pro 4
Solar Pro 4 leads Qwen3 30B A3B Instruct 2507 on the Artificial Analysis Intelligence Index, 28.2 to 7.5, and Qwen3 30B A3B Instruct 2507 costs 2.0x less per output token ($0.30 vs $0.60 per million). Updated October 22, 2026; 33 benchmarks have a result for both.
Qwen3 30B A3B Instruct 2507 or Solar Pro 4: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Qwen3 30B A3B Instruct 2507 for output tokens 2.0x cheaper ($0.30 vs $0.60 per million) and work measured by SciCode or LMArena Text: coding, where it leads.
- Shared results
- 33
- Qwen3 30B A3B Instruct 2507 only
- 12
- Solar Pro 4 only
- 12
- Like-for-like categories
- 6 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 7.5.
Same board, both measured
Web design
Design Arena: websites
No call
Only Solar Pro 4 has a Design Arena: websites result, 1176.
Directional only
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
Qwen3 30B A3B Instruct 2507
Qwen3 30B A3B Instruct 2507 $0.0002, Solar Pro 4 $0.0004 per turn.
List prices
At a glance
- Coding index
- Qwen3 30B A3B Instruct 2507 not benchmarked, Solar Pro 4 not benchmarked.
- Widest category
- Intelligence, 20.7 points apart on average over 1 shared benchmark.
- Widest single gap
- AA Intelligence Index: Qwen3 30B A3B Instruct 2507 7.5 against Solar Pro 4 28.2, 20.7 points apart on a 0 to 100 scale.
- Output price
- Qwen3 30B A3B Instruct 2507 $0.30 against Solar Pro 4 $0.60 per million output tokens, 2.0x apart.
- Context window
- Qwen3 30B A3B Instruct 2507 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 30B A3B Instruct 2507 | Bars | Solar Pro 4 | Ties |
|---|---|---|---|---|
| Coding | 0 | 3 | ||
| Intelligence | 0 | 1 | ||
| Reasoning | 0 | 5 | ||
| Math | 0 | 2 | ||
| Knowledge | 3 | 1 | ||
| General | 8 | 10 | ||
| All shared boards | 11 | 22 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
| Benchmark | Qwen3 30B A3B Instruct 2507 | Solar Pro 4 | Leader |
|---|---|---|---|
| LMArena WebDev | Not measured | 1371 | Only Solar Pro 4 measured |
| AA Coding Index | Not measured | 52.7 | Only Solar Pro 4 measured |
| LiveCodeBench (Artificial Analysis run) | 70.7% | Not measured | Only Qwen3 30B A3B Instruct 2507 measured |
| SciCode | 33.0% | 48.0% | Solar Pro 4 |
| Terminal-Bench Hard (Artificial Analysis run) | 6.1% | Not measured | Only Qwen3 30B A3B Instruct 2507 measured |
| ALE-Bench | Not measured | 179.3 | Only Solar Pro 4 measured |
| LMArena Text: coding | 1416 | 1438 | Solar Pro 4 |
| LMArena Text: software and IT | 1417 | 1431 | Solar Pro 4 |
| 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 33 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Qwen3 30B A3B Instruct 2507 | Solar Pro 4 | Leader |
|---|---|---|---|
| AA Intelligence Index | 7.5 | 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 | Qwen3 30B A3B Instruct 2507 | Solar Pro 4 | Leader |
|---|---|---|---|
| Design Arena: agents building web apps | Not measured | 1105 | Only Solar Pro 4 measured |
| τ²-Bench Telecom | 28.1% | Not measured | Only Qwen3 30B A3B Instruct 2507 measured |
| Berkeley Function Calling Leaderboard (BFCL) | 41.4% | Not measured | Only Qwen3 30B A3B Instruct 2507 measured |
| Neither model has a result on the other 39 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | Qwen3 30B A3B Instruct 2507 | Solar Pro 4 | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 70.7% | 89.1% | Solar Pro 4 |
| Humanity's Last Exam (Artificial Analysis run) | 10.3% | 29.8% | Solar Pro 4 |
| GPQA Diamond (Epoch AI run) | 55.6% | Not measured | Only Qwen3 30B A3B Instruct 2507 measured |
| LMArena Text: hard prompts | 1398 | 1400 | Solar Pro 4 |
| LMArena Text: expert | 1397 | 1428 | Solar Pro 4 |
| LMArena Text: hard prompts in English | 1406 | 1427 | Solar Pro 4 |
| Neither model has a result on the other 17 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Qwen3 30B A3B Instruct 2507 | Solar Pro 4 | Leader |
|---|---|---|---|
| AA Math Index | 66.3 | Not measured | Only Qwen3 30B A3B Instruct 2507 measured |
| AIME 2025 (Artificial Analysis run) | 66.3% | Not measured | Only Qwen3 30B A3B Instruct 2507 measured |
| OTIS Mock AIME | 62.2% | Not measured | Only Qwen3 30B A3B Instruct 2507 measured |
| LMArena Text: math | 1394 | 1421 | Solar Pro 4 |
| LMArena Text: mathematical work | 1411 | 1427 | Solar Pro 4 |
| Neither model has a result on the other 9 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index31
| Benchmark | Qwen3 30B A3B Instruct 2507 | Solar Pro 4 | Leader |
|---|---|---|---|
| MMLU Pro (Artificial Analysis run) | 80.5% | Not measured | Only Qwen3 30B A3B Instruct 2507 measured |
| LMArena Text: science | 1393 | 1404 | Solar Pro 4 |
| LMArena Text: medicine and healthcare | 1392 | 1374 | Qwen3 30B A3B Instruct 2507 |
| LMArena Text: legal and government | 1387 | 1383 | Qwen3 30B A3B Instruct 2507 |
| LMArena Text: business and finance | 1389 | 1381 | Qwen3 30B A3B Instruct 2507 |
| Neither model has a result on the other 15 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | Qwen3 30B A3B Instruct 2507 | Solar Pro 4 | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1176 | Only Solar Pro 4 measured |
| Design Arena: UI components | Not measured | 1147 | Only Solar Pro 4 measured |
| Design Arena: game dev | Not measured | 1169 | Only Solar Pro 4 measured |
| Design Arena: data viz | Not measured | 1178 | Only Solar Pro 4 measured |
| Design Arena: 3D | Not measured | 1178 | Only Solar Pro 4 measured |
| Design Arena: all code categories | Not measured | 1182 | Only Solar Pro 4 measured |
| Neither model has a result on the other 3 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index810
| Benchmark | Qwen3 30B A3B Instruct 2507 | Solar Pro 4 | Leader |
|---|---|---|---|
| IFBench | 50.7% | Not measured | Only Qwen3 30B A3B Instruct 2507 measured |
| Long context reasoning (AA-LCR) | 61.3% | 70.7% | Solar Pro 4 |
| DTBench | 67.2% | Not measured | Only Qwen3 30B A3B Instruct 2507 measured |
| LMCA | 22.4% | Not measured | Only Qwen3 30B A3B Instruct 2507 measured |
| LMArena Text | 1384 | 1388 | Solar Pro 4 |
| LMArena Text: instruction following | 1363 | 1375 | Solar Pro 4 |
| LMArena Text: creative writing | 1317 | 1317 | Solar Pro 4 |
| LMArena Text: English | 1391 | 1414 | Solar Pro 4 |
| LMArena Text: non-English | 1372 | 1363 | Qwen3 30B A3B Instruct 2507 |
| LMArena Text: Chinese | 1432 | 1422 | Qwen3 30B A3B Instruct 2507 |
| LMArena Text: German | 1379 | 1358 | Qwen3 30B A3B Instruct 2507 |
| LMArena Text: Japanese | 1337 | 1320 | Qwen3 30B A3B Instruct 2507 |
| LMArena Text: Korean | 1330 | 1383 | Solar Pro 4 |
| LMArena Text: French | 1419 | 1400 | Qwen3 30B A3B Instruct 2507 |
| LMArena Text: Spanish | 1404 | 1409 | Solar Pro 4 |
| LMArena Text: Russian | 1369 | 1357 | Qwen3 30B A3B Instruct 2507 |
| LMArena Text: Polish | 1353 | 1304 | Qwen3 30B A3B Instruct 2507 |
| LMArena Text: multi-turn | 1378 | 1385 | Solar Pro 4 |
| LMArena Text: longer queries | 1378 | 1382 | Solar Pro 4 |
| LMArena Text: writing and language | 1336 | 1344 | Solar Pro 4 |
| LMArena Text: entertainment and media | 1334 | 1332 | Qwen3 30B A3B Instruct 2507 |
| 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 30B A3B Instruct 2507 | 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
Qwen3 30B A3B Instruct 2507 costs less
Repository review
50K input + 3K output tokens
Qwen3 30B A3B Instruct 2507 costs less
Agent loop
200K input + 10K output tokens
Qwen3 30B A3B Instruct 2507 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 30B A3B Instruct 2507 | Upstage Solar Pro 4 |
|---|---|---|
| Maker | Qwen | Upstage |
| Weights | Open weights | No public weights listed |
| Released | July 29, 2025 | August 10, 2026 |
| Context window | 262K | 524K |
| Input $/Mtok | $0.09 | $0.15 |
| Output $/Mtok | $0.30 | $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 Qwen3 30B A3B Instruct 2507 better than Solar Pro 4 for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Qwen3 30B A3B Instruct 2507 for output tokens 2.0x cheaper ($0.30 vs $0.60 per million) and work measured by SciCode or LMArena Text: coding, where it leads.
Which is cheaper, Qwen3 30B A3B Instruct 2507 or Solar Pro 4?
Qwen3 30B A3B Instruct 2507 costs $0.09 per million input tokens and $0.30 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 30B A3B Instruct 2507 or Solar Pro 4?
Solar Pro 4, with 524K tokens against 262K.
How many benchmarks is the Qwen3 30B A3B Instruct 2507 vs Solar Pro 4 comparison based on?
33 benchmarks have a result for both models as of October 22, 2026. Qwen3 30B A3B Instruct 2507'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.