Qwen3 235B A22B Thinking 2507 vs Qwen3.7 Flash
Qwen3.7 Flash costs 26.9x less per output token than Qwen3 235B A22B Thinking 2507 ($0.13 vs $3.50 per million). Updated October 22, 2026; 3 benchmarks have a result for both.
Qwen3 235B A22B Thinking 2507 or Qwen3.7 Flash: 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 GPQA Diamond (Epoch AI run) or Mystery game puzzles, where it leads.
- Shared results
- 3
- Qwen3 235B A22B Thinking 2507 only
- 43
- Qwen3.7 Flash only
- 3
- Like-for-like categories
- 2 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
No call
Only Qwen3 235B A22B Thinking 2507 has a AA Intelligence Index result, 12.7.
Directional only
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
Qwen3.7 Flash
Qwen3.7 Flash takes 1M tokens against 128K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3.7 Flash
Qwen3 235B A22B Thinking 2507 $0.0022, Qwen3.7 Flash $0.0001 per turn.
List prices
At a glance
- Coding index
- Qwen3 235B A22B Thinking 2507 not benchmarked, Qwen3.7 Flash not benchmarked.
- Widest category
- Reasoning, 4.1 points apart on average over 2 shared benchmarks.
- Widest single gap
- Mystery game puzzles: Qwen3 235B A22B Thinking 2507 9.0% against Qwen3.7 Flash 15.0%, 6.0 points apart on a 0 to 100 scale.
- Output price
- Qwen3 235B A22B Thinking 2507 $3.50 against Qwen3.7 Flash $0.13 per million output tokens, 26.9x apart.
- Context window
- Qwen3 235B A22B Thinking 2507 takes 128K tokens, Qwen3.7 Flash 1M.
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 | Qwen3.7 Flash | Ties |
|---|---|---|---|---|
| Reasoning | 0 | 2 | ||
| Math | 0 | 0 | 1 tie | |
| All shared boards | 0 | 2 | 1 tie |
CodingDirectional onlySix of these boards feed the Vibe Coding Index5 boards, none shared
| Benchmark | Qwen3 235B A22B Thinking 2507 | Qwen3.7 Flash | Leader |
|---|---|---|---|
| AA Coding Index | 22.1 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| WeirdML | 41.0% | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| ALE-Bench | Not measured | 420.1 | Only Qwen3.7 Flash 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 38 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Qwen3 235B A22B Thinking 2507 | Qwen3.7 Flash | Leader |
|---|---|---|---|
| AA Intelligence Index | 12.7 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| Epoch Capabilities Index | Not measured | 144.1 | Only Qwen3.7 Flash measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Qwen3 235B A22B Thinking 2507 | Qwen3.7 Flash | Leader |
|---|---|---|---|
| AA Agentic Index | 1.3 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| Vending-Bench 2 | -$11 | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| Neither model has a result on the other 40 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Qwen3 235B A22B Thinking 2507 | Qwen3.7 Flash | Leader |
|---|---|---|---|
| GPQA Diamond (Epoch AI run) | 80.1% | 82.3% | Qwen3.7 Flash |
| Mystery game puzzles | 9.0% | 15.0% | Qwen3.7 Flash |
| 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 18 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index00
| Benchmark | Qwen3 235B A22B Thinking 2507 | Qwen3.7 Flash | Leader |
|---|---|---|---|
| OTIS Mock AIME | 86.7% | 86.7% | Tie |
| FrontierMath, tiers 1 to 3 | Not measured | 19.3% | Only Qwen3.7 Flash 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 index5 boards, none shared
| Benchmark | Qwen3 235B A22B Thinking 2507 | Qwen3.7 Flash | Leader |
|---|---|---|---|
| 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 15 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | Qwen3 235B A22B Thinking 2507 | Qwen3.7 Flash | 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 | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index20 boards, none shared
| Benchmark | Qwen3 235B A22B Thinking 2507 | Qwen3.7 Flash | Leader |
|---|---|---|---|
| DTBench | 80.3% | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| LMCA | 29.3% | Not measured | Only Qwen3 235B A22B Thinking 2507 measured |
| 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 |
| Neither model has a result on the other 28 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Qwen3 235B A22B Thinking 2507 | Qwen3.7 Flash | 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
Qwen3.7 Flash costs less
Repository review
50K input + 3K output tokens
Qwen3.7 Flash costs less
Agent loop
200K input + 10K output tokens
Qwen3.7 Flash 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 | Qwen3.7 Flash |
|---|---|---|
| Maker | Qwen | Qwen |
| Weights | Open weights | No public weights listed |
| Released | July 25, 2025 | July 27, 2026 |
| Context window | 128K | 1M |
| Input $/Mtok | $0.45 | $0.03 |
| Output $/Mtok | $3.50 | $0.13 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Qwen3 235B A22B Thinking 2507 better than Qwen3.7 Flash 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 GPQA Diamond (Epoch AI run) or Mystery game puzzles, where it leads.
Which is cheaper, Qwen3 235B A22B Thinking 2507 or Qwen3.7 Flash?
Qwen3 235B A22B Thinking 2507 costs $0.45 per million input tokens and $3.50 per million output tokens; Qwen3.7 Flash costs $0.03 and $0.13. Cost per solved task is known for neither of them.
Which has the bigger context window, Qwen3 235B A22B Thinking 2507 or Qwen3.7 Flash?
Qwen3.7 Flash, with 1M tokens against 128K.
How many benchmarks is the Qwen3 235B A22B Thinking 2507 vs Qwen3.7 Flash comparison based on?
3 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 Qwen3.7 Flash's on 0. Where only one model has a result, the page says so instead of naming a winner.