Qwen3.6 35B A3B vs Qwen3.7 Flash
Qwen3.7 Flash costs 7.7x less per output token than Qwen3.6 35B A3B ($0.13 vs $1.00 per million). Updated October 22, 2026; 5 benchmarks have a result for both.
Qwen3.6 35B A3B or Qwen3.7 Flash: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Qwen3.6 35B A3B for work measured by Epoch Capabilities Index, where it leads.
- Shared results
- 5
- Qwen3.6 35B A3B only
- 15
- Qwen3.7 Flash only
- 1
- Like-for-like categories
- 3 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 Qwen3.6 35B A3B has a AA Intelligence Index result, 18.2.
Directional only
Agentic work
AA Agentic Index
No call
Only Qwen3.6 35B A3B has a AA Agentic Index result, 13.1.
Directional only
Long documents
Listed context window
Qwen3.7 Flash
Qwen3.7 Flash takes 1M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3.7 Flash
Qwen3.6 35B A3B $0.0006, Qwen3.7 Flash $0.0001 per turn.
List prices
At a glance
- Coding index
- Qwen3.6 35B A3B not benchmarked, Qwen3.7 Flash not benchmarked.
- Widest category
- Reasoning, 4.8 points apart on average over 2 shared benchmarks.
- Widest single gap
- Mystery game puzzles: Qwen3.6 35B A3B 22.0% against Qwen3.7 Flash 15.0%, 7.0 points apart on a 0 to 100 scale.
- Output price
- Qwen3.6 35B A3B $1.00 against Qwen3.7 Flash $0.13 per million output tokens, 7.7x apart.
- Context window
- Qwen3.6 35B A3B takes 262K 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 | Qwen3.6 35B A3B | Bars | Qwen3.7 Flash | Ties |
|---|---|---|---|---|
| Intelligence | 0 | 1 | ||
| Reasoning | 2 | 0 | ||
| Math | 1 | 0 | 1 tie | |
| All shared boards | 3 | 1 | 1 tie |
CodingDirectional onlySix of these boards feed the Vibe Coding Index6 boards, none shared
| Benchmark | Qwen3.6 35B A3B | Qwen3.7 Flash | Leader |
|---|---|---|---|
| AA Coding Index | 41.9 | Not measured | Only Qwen3.6 35B A3B measured |
| SciCode | 36.6% | Not measured | Only Qwen3.6 35B A3B measured |
| Terminal-Bench Hard (Artificial Analysis run) | 34.8% | Not measured | Only Qwen3.6 35B A3B measured |
| Terminal-Bench | 24.6% | Not measured | Only Qwen3.6 35B A3B measured |
| WeirdML | 34.5% | Not measured | Only Qwen3.6 35B A3B measured |
| ALE-Bench | Not measured | 420.1 | Only Qwen3.7 Flash 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 | Qwen3.6 35B A3B | Qwen3.7 Flash | Leader |
|---|---|---|---|
| AA Intelligence Index | 18.2 | Not measured | Only Qwen3.6 35B A3B measured |
| Epoch Capabilities Index | 143.7 | 144.1 | Qwen3.7 Flash |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Qwen3.6 35B A3B | Qwen3.7 Flash | Leader |
|---|---|---|---|
| AA Agentic Index | 13.1 | Not measured | Only Qwen3.6 35B A3B measured |
| τ²-Bench Telecom | 95.3% | Not measured | Only Qwen3.6 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 | Qwen3.6 35B A3B | Qwen3.7 Flash | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 84.1% | Not measured | Only Qwen3.6 35B A3B measured |
| Humanity's Last Exam (Artificial Analysis run) | 22.2% | Not measured | Only Qwen3.6 35B A3B measured |
| GPQA Diamond (Epoch AI run) | 84.8% | 82.3% | Qwen3.6 35B A3B |
| Mystery game puzzles | 22.0% | 15.0% | Qwen3.6 35B A3B |
| Neither model has a result on the other 18 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Qwen3.6 35B A3B | Qwen3.7 Flash | Leader |
|---|---|---|---|
| OTIS Mock AIME | 86.7% | 86.7% | Tie |
| FrontierMath, tiers 1 to 3 | 20.4% | 19.3% | Qwen3.6 35B A3B |
| Neither model has a result on the other 11 boards here | |||
KnowledgeNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Qwen3.6 35B A3B | Qwen3.7 Flash | Leader |
|---|---|---|---|
| Neither model has a result on 18 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Qwen3.6 35B A3B | Qwen3.7 Flash | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
| Benchmark | Qwen3.6 35B A3B | Qwen3.7 Flash | Leader |
|---|---|---|---|
| IFBench | 64.4% | Not measured | Only Qwen3.6 35B A3B measured |
| Long context reasoning (AA-LCR) | 71.7% | Not measured | Only Qwen3.6 35B A3B measured |
| DTBench | 73.9% | Not measured | Only Qwen3.6 35B A3B measured |
| LMCA | 29.7% | Not measured | Only Qwen3.6 35B A3B measured |
| Surface Evolver Bench | 44.4% | Not measured | Only Qwen3.6 35B A3B measured |
| Neither model has a result on the other 41 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Qwen3.6 35B A3B | 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 | Qwen3.6 35B A3B | Qwen3.7 Flash |
|---|---|---|
| Maker | Qwen | Qwen |
| Weights | Open weights | No public weights listed |
| Released | April 27, 2026 | July 27, 2026 |
| Context window | 262K | 1M |
| Input $/Mtok | $0.10 | $0.03 |
| Output $/Mtok | $1.00 | $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 Qwen3.6 35B A3B better than Qwen3.7 Flash for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Qwen3.6 35B A3B for work measured by Epoch Capabilities Index, where it leads.
Which is cheaper, Qwen3.6 35B A3B or Qwen3.7 Flash?
Qwen3.6 35B A3B costs $0.10 per million input tokens and $1.00 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, Qwen3.6 35B A3B or Qwen3.7 Flash?
Qwen3.7 Flash, with 1M tokens against 262K.
How many benchmarks is the Qwen3.6 35B A3B vs Qwen3.7 Flash comparison based on?
5 benchmarks have a result for both models as of October 22, 2026. Qwen3.6 35B A3B'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.