Qwen3.5-9B vs Qwen3 Coder Flash
Updated October 21, 2026. 0 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
- Coding
- No data
- Overall
- 13.3
- Output $/M
- $0.15
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.975
Decision reading
Neither model has a coding score yet, so the two cannot be ranked on coding.
Qwen3.5-9B has the edge where output tokens cost 6.5x less.
- Shared results
- 0
- Qwen3.5-9B only
- 15
- Qwen3 Coder Flash only
- 0
- Like-for-like categories
- 0 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
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 Qwen3.5-9B has a AA Intelligence Index result, 13.3.
Directional only
Long documents
Listed context window
Qwen3 Coder Flash
Qwen3 Coder Flash takes 1M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3.5-9B
Qwen3.5-9B $0.0002, Qwen3 Coder Flash $0.0007 per turn.
List prices
At a glance
- Coding index
- Qwen3.5-9B not benchmarked, Qwen3 Coder Flash not benchmarked.
- Widest category
- No category has a result for both models.
- Widest single gap
- No benchmark has a result for both models.
- Output price
- Qwen3.5-9B $0.15 against Qwen3 Coder Flash $0.975 per million output tokens, 6.5x apart.
- Context window
- Qwen3.5-9B takes 262K tokens, Qwen3 Coder 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.
CodingDirectional onlySix of these boards feed the Vibe Coding Index4 boards, none shared
| Benchmark | Qwen3.5-9B | Qwen3 Coder Flash | Leader |
|---|---|---|---|
| AA Coding Index | 23.5 | Not measured | Only Qwen3.5-9B measured |
| SciCode | 29.5% | Not measured | Only Qwen3.5-9B measured |
| Terminal-Bench Hard (Artificial Analysis run) | 24.2% | Not measured | Only Qwen3.5-9B measured |
| Terminal-Bench | 9.2% | Not measured | Only Qwen3.5-9B measured |
| Neither model has a result on the other 34 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Qwen3.5-9B | Qwen3 Coder Flash | Leader |
|---|---|---|---|
| AA Intelligence Index | 13.3 | Not measured | Only Qwen3.5-9B measured |
| Epoch Capabilities Index | 139.3 | Not measured | Only Qwen3.5-9B measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Qwen3.5-9B | Qwen3 Coder Flash | Leader |
|---|---|---|---|
| τ²-Bench Telecom | 86.8% | Not measured | Only Qwen3.5-9B measured |
| Neither model has a result on the other 38 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
| Benchmark | Qwen3.5-9B | Qwen3 Coder Flash | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 80.6% | Not measured | Only Qwen3.5-9B measured |
| Humanity's Last Exam (Artificial Analysis run) | 14.9% | Not measured | Only Qwen3.5-9B measured |
| GPQA Diamond (Epoch AI run) | 79.0% | Not measured | Only Qwen3.5-9B measured |
| Neither model has a result on the other 18 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Qwen3.5-9B | Qwen3 Coder Flash | Leader |
|---|---|---|---|
| OTIS Mock AIME | 61.7% | Not measured | Only Qwen3.5-9B measured |
| Neither model has a result on the other 12 boards here | |||
KnowledgeNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Qwen3.5-9B | Qwen3 Coder Flash | Leader |
|---|---|---|---|
| Neither model has a result on 17 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Qwen3.5-9B | Qwen3 Coder Flash | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
| Benchmark | Qwen3.5-9B | Qwen3 Coder Flash | Leader |
|---|---|---|---|
| IFBench | 66.7% | Not measured | Only Qwen3.5-9B measured |
| Long context reasoning (AA-LCR) | 70.0% | Not measured | Only Qwen3.5-9B measured |
| DTBench | 71.2% | Not measured | Only Qwen3.5-9B measured |
| LMCA | 24.5% | Not measured | Only Qwen3.5-9B measured |
| Neither model has a result on the other 42 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Qwen3.5-9B | Qwen3 Coder 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
Qwen3.5-9B costs less
Repository review
50K input + 3K output tokens
Qwen3.5-9B costs less
Agent loop
200K input + 10K output tokens
Qwen3.5-9B 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 | Qwen3.5-9B | Qwen3 Coder Flash |
|---|---|---|
| Maker | Qwen | Qwen |
| Weights | Open weights | No public weights listed |
| Released | March 10, 2026 | September 17, 2025 |
| Context window | 262K | 1M |
| Input $/Mtok | $0.10 | $0.195 |
| Output $/Mtok | $0.15 | $0.975 |
| 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 Qwen3.5-9B better than Qwen3 Coder Flash for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Qwen3.5-9B has the edge where output tokens cost 6.5x less.
Which is cheaper, Qwen3.5-9B or Qwen3 Coder Flash?
Qwen3.5-9B costs $0.10 per million input tokens and $0.15 per million output tokens; Qwen3 Coder Flash costs $0.195 and $0.975. Cost per solved task is known for neither of them.
Which has the bigger context window, Qwen3.5-9B or Qwen3 Coder Flash?
Qwen3 Coder Flash, with 1M tokens against 262K.
How many benchmarks is the Qwen3.5-9B vs Qwen3 Coder Flash comparison based on?
0 benchmarks have a result for both models as of October 21, 2026. Qwen3.5-9B's coding index rests on 0 independent benchmarks and Qwen3 Coder Flash's on 0. Where only one model has a result, the page says so instead of naming a winner.