Qwen3 235B A22B Thinking 2507 vs Qwen3.5-122B-A10B
Qwen3.5-122B-A10B leads Qwen3 235B A22B Thinking 2507 on the Artificial Analysis Intelligence Index, 17.7 to 12.7, and Qwen3.5-122B-A10B costs 1.7x less per output token ($2.08 vs $3.50 per million). Updated October 23, 2026; 32 benchmarks have a result for both.
Qwen3 235B A22B Thinking 2507 or Qwen3.5-122B-A10B: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Qwen3 235B A22B Thinking 2507 for work measured by AA Coding Index or LMArena Text: coding, where it leads.
- Shared results
- 32
- Qwen3 235B A22B Thinking 2507 only
- 14
- Qwen3.5-122B-A10B only
- 19
- 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
Qwen3.5-122B-A10B
Qwen3.5-122B-A10B leads, 17.7 against 12.7.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Qwen3 235B A22B Thinking 2507 has a AA Agentic Index result, 1.3.
Directional only
Web design
Design Arena: websites
No call
Only Qwen3 235B A22B Thinking 2507 has a Design Arena: websites result, 1052.
Directional only
Long documents
Listed context window
Qwen3.5-122B-A10B
Qwen3.5-122B-A10B takes 262K tokens against 128K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3.5-122B-A10B
Qwen3 235B A22B Thinking 2507 $0.0022, Qwen3.5-122B-A10B $0.0013 per turn.
List prices
At a glance
- Coding index
- Qwen3 235B A22B Thinking 2507 not benchmarked, Qwen3.5-122B-A10B not benchmarked.
- Widest category
- Coding, 8.0 points apart on average over 3 shared benchmarks.
- Widest single gap
- AA Coding Index: Qwen3 235B A22B Thinking 2507 22.1 against Qwen3.5-122B-A10B 43.3, 21.2 points apart on a 0 to 100 scale.
- Output price
- Qwen3 235B A22B Thinking 2507 $3.50 against Qwen3.5-122B-A10B $2.08 per million output tokens, 1.7x apart.
- Context window
- Qwen3 235B A22B Thinking 2507 takes 128K tokens, Qwen3.5-122B-A10B 262K.
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 235B A22B Thinking 2507 | Bars | Qwen3.5-122B-A10B | Ties |
|---|---|---|---|---|
| Coding | 0 | 3 | ||
| Intelligence | 0 | 1 | ||
| Reasoning | 2 | 2 | ||
| Math | 1 | 1 | ||
| Knowledge | 2 | 2 | ||
| General | 7 | 11 | ||
| All shared boards | 12 | 20 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
| Benchmark | Qwen3 235B A22B Thinking 2507 | Qwen3.5-122B-A10B | Leader |
|---|---|---|---|
| LMArena WebDev | Not measured | 1361 | Only Qwen3.5-122B-A10B measured |
| AA Coding Index | 22.1 | 43.3 | Qwen3.5-122B-A10B |
| SciCode | Not measured | 39.7% | Only Qwen3.5-122B-A10B measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 31.1% | Only Qwen3.5-122B-A10B measured |
| WeirdML | 41.0% | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| LMArena Text: coding | 1424 | 1436 | Qwen3.5-122B-A10B |
| LMArena Text: software and IT | 1431 | 1436 | Qwen3.5-122B-A10B |
| LMArena WebDev: React | Not measured | 1352 | Only Qwen3.5-122B-A10B measured |
| LMArena WebDev: HTML | Not measured | 1352 | Only Qwen3.5-122B-A10B measured |
| 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 235B A22B Thinking 2507 | Qwen3.5-122B-A10B | Leader |
|---|---|---|---|
| AA Intelligence Index | 12.7 | 17.7 | Qwen3.5-122B-A10B |
| 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 235B A22B Thinking 2507 | Qwen3.5-122B-A10B | Leader |
|---|---|---|---|
| AA Agentic Index | 1.3 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| τ²-Bench Telecom | Not measured | 93.6% | Only Qwen3.5-122B-A10B measured |
| Vending-Bench 2 | -$11 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| Neither model has a result on the other 39 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index22
| Benchmark | Qwen3 235B A22B Thinking 2507 | Qwen3.5-122B-A10B | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | Not measured | 85.7% | Only Qwen3.5-122B-A10B measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 25.2% | Only Qwen3.5-122B-A10B measured |
| GPQA Diamond (Epoch AI run) | 80.1% | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| Mystery game puzzles | 9.0% | 17.0% | Qwen3.5-122B-A10B |
| LMArena Text: hard prompts | 1416 | 1421 | Qwen3.5-122B-A10B |
| LMArena Text: expert | 1463 | 1431 | Qwen3 235B A22B Thinking 2507 |
| LMArena Text: hard prompts in English | 1432 | 1431 | Qwen3 235B A22B Thinking 2507 |
| LMArena Vision: diagrams | Not measured | 1249 | Only Qwen3.5-122B-A10B measured |
| LMArena Vision: homework | Not measured | 1261 | Only Qwen3.5-122B-A10B measured |
| Neither model has a result on the other 14 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | Qwen3 235B A22B Thinking 2507 | Qwen3.5-122B-A10B | Leader |
|---|---|---|---|
| OTIS Mock AIME | 86.7% | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| LMArena Text: math | 1412 | 1431 | Qwen3.5-122B-A10B |
| LMArena Text: mathematical work | 1435 | 1431 | Qwen3 235B A22B Thinking 2507 |
| Neither model has a result on the other 11 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index22
| Benchmark | Qwen3 235B A22B Thinking 2507 | Qwen3.5-122B-A10B | Leader |
|---|---|---|---|
| SimpleQA Verified | 40.4% | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| LMArena Text: science | 1433 | 1433 | Qwen3 235B A22B Thinking 2507 |
| LMArena Text: medicine and healthcare | 1456 | 1423 | Qwen3 235B A22B Thinking 2507 |
| LMArena Text: legal and government | 1415 | 1422 | Qwen3.5-122B-A10B |
| LMArena Text: business and finance | 1412 | 1414 | Qwen3.5-122B-A10B |
| 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 235B A22B Thinking 2507 | Qwen3.5-122B-A10B | Leader |
|---|---|---|---|
| Design Arena: websites | 1052 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| Design Arena: UI components | 942 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| Design Arena: game dev | 956 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| Design Arena: data viz | 950 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| Design Arena: 3D | 998 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| Design Arena: all code categories | 1032 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| Neither model has a result on the other 3 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index711
| Benchmark | Qwen3 235B A22B Thinking 2507 | Qwen3.5-122B-A10B | Leader |
|---|---|---|---|
| IFBench | Not measured | 75.7% | Only Qwen3.5-122B-A10B measured |
| Long context reasoning (AA-LCR) | Not measured | 76.3% | Only Qwen3.5-122B-A10B measured |
| DTBench | 80.3% | 84.3% | Qwen3.5-122B-A10B |
| LMCA | 29.3% | 32.2% | Qwen3.5-122B-A10B |
| Fiction.LiveBench | 75.0% | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| Creative writing (Lech Mazur) | 82.4% | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| LMArena Text | 1415 | 1418 | Qwen3.5-122B-A10B |
| LMArena Text: instruction following | 1386 | 1400 | Qwen3.5-122B-A10B |
| LMArena Text: creative writing | 1384 | 1368 | Qwen3 235B A22B Thinking 2507 |
| LMArena Vision | Not measured | 1244 | Only Qwen3.5-122B-A10B measured |
| LMArena Text: English | 1429 | 1428 | Qwen3 235B A22B Thinking 2507 |
| LMArena Text: non-English | 1397 | 1401 | Qwen3.5-122B-A10B |
| LMArena Text: Chinese | 1481 | 1463 | Qwen3 235B A22B Thinking 2507 |
| LMArena Text: German | 1408 | 1425 | Qwen3.5-122B-A10B |
| LMArena Text: Japanese | 1386 | 1367 | Qwen3 235B A22B Thinking 2507 |
| LMArena Text: Korean | 1375 | 1353 | Qwen3 235B A22B Thinking 2507 |
| LMArena Text: French | Not measured | 1443 | Only Qwen3.5-122B-A10B measured |
| LMArena Text: Spanish | 1389 | 1425 | Qwen3.5-122B-A10B |
| LMArena Text: Russian | 1400 | 1400 | Qwen3.5-122B-A10B |
| LMArena Text: Polish | 1390 | 1399 | Qwen3.5-122B-A10B |
| LMArena Text: multi-turn | 1406 | 1417 | Qwen3.5-122B-A10B |
| LMArena Text: longer queries | 1399 | 1411 | Qwen3.5-122B-A10B |
| LMArena Text: writing and language | 1388 | 1387 | Qwen3 235B A22B Thinking 2507 |
| LMArena Text: entertainment and media | 1370 | 1366 | Qwen3 235B A22B Thinking 2507 |
| LMArena Vision: English | Not measured | 1249 | Only Qwen3.5-122B-A10B measured |
| LMArena Vision: Chinese | Not measured | 1301 | Only Qwen3.5-122B-A10B measured |
| LMArena Vision: reading text | Not measured | 1251 | Only Qwen3.5-122B-A10B measured |
| LMArena Vision: humor | Not measured | 1243 | Only Qwen3.5-122B-A10B measured |
| LMArena Vision: creative writing | Not measured | 1220 | Only Qwen3.5-122B-A10B 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 235B A22B Thinking 2507 | Qwen3.5-122B-A10B | 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
Qwen3.5-122B-A10B costs less
Repository review
50K input + 3K output tokens
Qwen3.5-122B-A10B costs less
Agent loop
200K input + 10K output tokens
Qwen3.5-122B-A10B 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 235B A22B Thinking 2507 | Qwen3.5-122B-A10B |
|---|---|---|
| Maker | Qwen | Qwen |
| Weights | Open weights | Open weights |
| Released | July 25, 2025 | February 25, 2026 |
| Context window | 128K | 262K |
| Input $/Mtok | $0.45 | $0.26 |
| Output $/Mtok | $3.50 | $2.08 |
| 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 235B A22B Thinking 2507 better than Qwen3.5-122B-A10B for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Qwen3 235B A22B Thinking 2507 for work measured by AA Coding Index or LMArena Text: coding, where it leads.
Which is cheaper, Qwen3 235B A22B Thinking 2507 or Qwen3.5-122B-A10B?
Qwen3 235B A22B Thinking 2507 costs $0.45 per million input tokens and $3.50 per million output tokens; Qwen3.5-122B-A10B costs $0.26 and $2.08. Cost per solved task is known for neither of them.
Which has the bigger context window, Qwen3 235B A22B Thinking 2507 or Qwen3.5-122B-A10B?
Qwen3.5-122B-A10B, with 262K tokens against 128K.
How many benchmarks is the Qwen3 235B A22B Thinking 2507 vs Qwen3.5-122B-A10B comparison based on?
32 benchmarks have a result for both models as of October 23, 2026. Qwen3 235B A22B Thinking 2507's coding index rests on 0 independent benchmarks and Qwen3.5-122B-A10B's on 1. Where only one model has a result, the page says so instead of naming a winner.