Qwen3 235B A22B Thinking 2507 vs Qwen3.6 27B
Qwen3.6 27B leads Qwen3 235B A22B Thinking 2507 on the Artificial Analysis Intelligence Index, 21.4 to 12.7, and Qwen3.6 27B costs 1.3x less per output token ($2.70 vs $3.50 per million). Updated October 22, 2026; 8 benchmarks have a result for both.
Qwen3 235B A22B Thinking 2507 or Qwen3.6 27B: which to pick
Only Qwen3.6 27B has a coding score, 36.8 on the Vibe Coding Index; Qwen3 235B A22B Thinking 2507 has none, so the two cannot be ranked on coding.
Pick Qwen3 235B A22B Thinking 2507 for work measured by Mystery game puzzles or DTBench, where it leads.
- Shared results
- 8
- Qwen3 235B A22B Thinking 2507 only
- 38
- Qwen3.6 27B only
- 17
- 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
Only Qwen3.6 27B has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Qwen3.6 27B
Qwen3.6 27B leads, 21.4 against 12.7.
Same board, both measured
Agentic work
AA Agentic Index
Qwen3.6 27B
Qwen3.6 27B leads, 18.5 against 1.3.
Same board, both measured
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
Qwen3.6 27B
Qwen3.6 27B takes 262K tokens against 128K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3.6 27B
Qwen3 235B A22B Thinking 2507 $0.0022, Qwen3.6 27B $0.0018 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Qwen3.6 27B has the number, $1.30.
Directional only
At a glance
- Coding index
- Qwen3 235B A22B Thinking 2507 not benchmarked, Qwen3.6 27B 36.8 from 2 benchmarks.
- Widest category
- Coding, 31.6 points apart on average over 1 shared benchmark.
- Widest single gap
- AA Coding Index: Qwen3 235B A22B Thinking 2507 22.1 against Qwen3.6 27B 53.7, 31.6 points apart on a 0 to 100 scale.
- Output price
- Qwen3 235B A22B Thinking 2507 $3.50 against Qwen3.6 27B $2.70 per million output tokens, 1.3x apart.
- Context window
- Qwen3 235B A22B Thinking 2507 takes 128K tokens, Qwen3.6 27B 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 | Qwen3.6 27B | Ties |
|---|---|---|---|---|
| Coding | 0 | 1 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 0 | 1 | ||
| Reasoning | 1 | 1 | ||
| Math | 0 | 1 | ||
| General | 1 | 1 | ||
| All shared boards | 2 | 6 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index01
| Benchmark | Qwen3 235B A22B Thinking 2507 | Qwen3.6 27B | Leader |
|---|---|---|---|
| AA Coding Index | 22.1 | 53.7 | Qwen3.6 27B |
| SWE-bench Verified (Vals AI) | Not measured | 70.0% | Only Qwen3.6 27B measured |
| Vibe Code Bench (Vals AI) | Not measured | 11.9% | Only Qwen3.6 27B measured |
| SciCode | Not measured | 42.8% | Only Qwen3.6 27B measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 34.8% | Only Qwen3.6 27B measured |
| WeirdML | 41.0% | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| LMArena Text: coding | 1424 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| LMArena Text: software and IT | 1431 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| Neither model has a result on the other 35 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Qwen3 235B A22B Thinking 2507 | Qwen3.6 27B | Leader |
|---|---|---|---|
| AA Intelligence Index | 12.7 | 21.4 | Qwen3.6 27B |
| Epoch Capabilities Index | Not measured | 146.2 | Only Qwen3.6 27B measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Qwen3 235B A22B Thinking 2507 | Qwen3.6 27B | Leader |
|---|---|---|---|
| AA Agentic Index | 1.3 | 18.5 | Qwen3.6 27B |
| τ²-Bench Telecom | Not measured | 94.2% | Only Qwen3.6 27B 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 index11
| Benchmark | Qwen3 235B A22B Thinking 2507 | Qwen3.6 27B | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | Not measured | 84.2% | Only Qwen3.6 27B measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 23.1% | Only Qwen3.6 27B measured |
| GPQA Diamond (Epoch AI run) | 80.1% | 85.9% | Qwen3.6 27B |
| Mystery game puzzles | 9.0% | 7.0% | Qwen3 235B A22B Thinking 2507 |
| LMArena Text: hard prompts | 1416 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| LMArena Text: expert | 1463 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| LMArena Text: hard prompts in English | 1432 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| Neither model has a result on the other 16 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Qwen3 235B A22B Thinking 2507 | Qwen3.6 27B | Leader |
|---|---|---|---|
| OTIS Mock AIME | 86.7% | 91.1% | Qwen3.6 27B |
| FrontierMath, tiers 1 to 3 | Not measured | 35.1% | Only Qwen3.6 27B measured |
| LMArena Text: math | 1412 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| LMArena Text: mathematical work | 1435 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| Neither model has a result on the other 10 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
| Benchmark | Qwen3 235B A22B Thinking 2507 | Qwen3.6 27B | Leader |
|---|---|---|---|
| CaseLaw (Vals AI) | Not measured | 53.2% | Only Qwen3.6 27B measured |
| CorpFin (Vals AI) | Not measured | 62.3% | Only Qwen3.6 27B measured |
| TaxEval (Vals AI) | Not measured | 71.3% | Only Qwen3.6 27B measured |
| MortgageTax (Vals AI) | Not measured | 68.3% | Only Qwen3.6 27B measured |
| SimpleQA Verified | 40.4% | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| LMArena Text: science | 1433 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| LMArena Text: medicine and healthcare | 1456 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| LMArena Text: legal and government | 1415 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| LMArena Text: business and finance | 1413 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| Neither model has a result on the other 11 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | Qwen3 235B A22B Thinking 2507 | Qwen3.6 27B | 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 | 997 | 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 index11
| Benchmark | Qwen3 235B A22B Thinking 2507 | Qwen3.6 27B | Leader |
|---|---|---|---|
| SAGE (Vals AI) | Not measured | 45.6% | Only Qwen3.6 27B measured |
| IFBench | Not measured | 67.6% | Only Qwen3.6 27B measured |
| Long context reasoning (AA-LCR) | Not measured | 77.3% | Only Qwen3.6 27B measured |
| DTBench | 80.3% | 78.1% | Qwen3 235B A22B Thinking 2507 |
| LMCA | 29.3% | 34.5% | Qwen3.6 27B |
| 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 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| LMArena Text: instruction following | 1386 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| LMArena Text: creative writing | 1384 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| LMArena Text: English | 1429 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| LMArena Text: non-English | 1397 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| LMArena Text: Chinese | 1481 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| LMArena Text: German | 1408 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| LMArena Text: Japanese | 1386 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| LMArena Text: Korean | 1375 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| LMArena Text: Spanish | 1389 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| LMArena Text: Russian | 1401 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| LMArena Text: Polish | 1390 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| LMArena Text: multi-turn | 1406 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| LMArena Text: longer queries | 1400 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| LMArena Text: writing and language | 1388 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| LMArena Text: entertainment and media | 1370 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| EQ-Bench 4 | Not measured | 1026 | Only Qwen3.6 27B measured |
| Neither model has a result on the other 24 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Qwen3 235B A22B Thinking 2507 | Qwen3.6 27B | 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
Qwen3.6 27B costs less
Repository review
50K input + 3K output tokens
Qwen3.6 27B costs less
Agent loop
200K input + 10K output tokens
Qwen3.6 27B 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 | Qwen3.6 27B |
|---|---|---|
| Maker | Qwen | Qwen |
| Weights | Open weights | Open weights |
| Released | July 25, 2025 | April 27, 2026 |
| Context window | 128K | 262K |
| Input $/Mtok | $0.45 | $0.45 |
| Output $/Mtok | $3.50 | $2.70 |
| Coding index | Not benchmarked | 36.8 |
| Independent measurements behind it | 0 | 2 |
| Cost per solved task | Not computable | $1.30 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Qwen3 235B A22B Thinking 2507 better than Qwen3.6 27B for coding?
Only Qwen3.6 27B has a coding score, 36.8 on the Vibe Coding Index; Qwen3 235B A22B Thinking 2507 has none, so the two cannot be ranked on coding. Pick Qwen3 235B A22B Thinking 2507 for work measured by Mystery game puzzles or DTBench, where it leads.
Which is cheaper, Qwen3 235B A22B Thinking 2507 or Qwen3.6 27B?
Qwen3 235B A22B Thinking 2507 costs $0.45 per million input tokens and $3.50 per million output tokens; Qwen3.6 27B costs $0.45 and $2.70. Cost per solved task is known for Qwen3.6 27B only.
Which has the bigger context window, Qwen3 235B A22B Thinking 2507 or Qwen3.6 27B?
Qwen3.6 27B, with 262K tokens against 128K.
How many benchmarks is the Qwen3 235B A22B Thinking 2507 vs Qwen3.6 27B comparison based on?
8 benchmarks have a result for both models as of October 22, 2026. Qwen3 235B A22B Thinking 2507's coding index rests on 0 independent benchmarks and Qwen3.6 27B's on 2. Where only one model has a result, the page says so instead of naming a winner.