Qwen3.5-27B 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
- 22.9
- Output $/M
- $1.56
- 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.
Compare them on price, context and the boards below.
- Shared results
- 0
- Qwen3.5-27B only
- 53
- 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 Qwen3.5-27B has a AA Intelligence Index result, 22.9.
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 Coder Flash
Qwen3.5-27B $0.0010, Qwen3 Coder Flash $0.0007 per turn.
List prices
At a glance
- Coding index
- Qwen3.5-27B 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
- Qwen3.5-27B $1.56 against Qwen3 Coder Flash $0.975 per million output tokens, 1.6x apart.
- Context window
- Qwen3.5-27B 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 Index8 boards, none shared
| Benchmark | Qwen3.5-27B | Qwen3 Coder Flash | Leader |
|---|---|---|---|
| LMArena WebDev | 1358 | Not measured | Only Qwen3.5-27B measured |
| Terminal-Bench Hard (Artificial Analysis run) | 32.6% | Not measured | Only Qwen3.5-27B measured |
| WeirdML | 39.5% | Not measured | Only Qwen3.5-27B measured |
| ALE-Bench | 349.4 | Not measured | Only Qwen3.5-27B measured |
| LMArena Text: coding | 1427 | Not measured | Only Qwen3.5-27B measured |
| LMArena Text: software and IT | 1431 | Not measured | Only Qwen3.5-27B measured |
| LMArena WebDev: React | 1346 | Not measured | Only Qwen3.5-27B measured |
| LMArena WebDev: HTML | 1386 | Not measured | Only Qwen3.5-27B measured |
| Neither model has a result on the other 30 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Qwen3.5-27B | Qwen3 Coder Flash | Leader |
|---|---|---|---|
| AA Intelligence Index | 22.9 | Not measured | Only Qwen3.5-27B measured |
| Neither model has a result on the other 1 board here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Qwen3.5-27B | Qwen3 Coder Flash | Leader |
|---|---|---|---|
| τ²-Bench Telecom | 93.9% | Not measured | Only Qwen3.5-27B measured |
| Vending-Bench 2 | $202 | Not measured | Only Qwen3.5-27B measured |
| Neither model has a result on the other 37 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
| Benchmark | Qwen3.5-27B | Qwen3 Coder Flash | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 85.8% | Not measured | Only Qwen3.5-27B measured |
| Humanity's Last Exam (Artificial Analysis run) | 23.9% | Not measured | Only Qwen3.5-27B measured |
| LMArena Text: hard prompts | 1415 | Not measured | Only Qwen3.5-27B measured |
| LMArena Text: expert | 1427 | Not measured | Only Qwen3.5-27B measured |
| LMArena Text: hard prompts in English | 1429 | Not measured | Only Qwen3.5-27B measured |
| LMArena Vision: diagrams | 1249 | Not measured | Only Qwen3.5-27B measured |
| LMArena Vision: homework | 1256 | Not measured | Only Qwen3.5-27B measured |
| Neither model has a result on the other 14 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Qwen3.5-27B | Qwen3 Coder Flash | Leader |
|---|---|---|---|
| LMArena Text: math | 1429 | Not measured | Only Qwen3.5-27B measured |
| LMArena Text: mathematical work | 1429 | Not measured | Only Qwen3.5-27B measured |
| Neither model has a result on the other 11 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
| Benchmark | Qwen3.5-27B | Qwen3 Coder Flash | Leader |
|---|---|---|---|
| LMArena Text: science | 1437 | Not measured | Only Qwen3.5-27B measured |
| LMArena Text: medicine and healthcare | 1425 | Not measured | Only Qwen3.5-27B measured |
| LMArena Text: legal and government | 1405 | Not measured | Only Qwen3.5-27B measured |
| LMArena Text: business and finance | 1399 | Not measured | Only Qwen3.5-27B measured |
| Neither model has a result on the other 13 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Qwen3.5-27B | Qwen3 Coder Flash | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index29 boards, none shared
| Benchmark | Qwen3.5-27B | Qwen3 Coder Flash | Leader |
|---|---|---|---|
| IFBench | 75.6% | Not measured | Only Qwen3.5-27B measured |
| Long context reasoning (AA-LCR) | 77.7% | Not measured | Only Qwen3.5-27B measured |
| DTBench | 82.4% | Not measured | Only Qwen3.5-27B measured |
| LMCA | 34.0% | Not measured | Only Qwen3.5-27B measured |
| LMArena Text | 1409 | Not measured | Only Qwen3.5-27B measured |
| LMArena Text: instruction following | 1393 | Not measured | Only Qwen3.5-27B measured |
| LMArena Text: creative writing | 1362 | Not measured | Only Qwen3.5-27B measured |
| LMArena Vision | 1241 | Not measured | Only Qwen3.5-27B measured |
| LMArena Text: English | 1425 | Not measured | Only Qwen3.5-27B measured |
| LMArena Text: non-English | 1390 | Not measured | Only Qwen3.5-27B measured |
| LMArena Text: Chinese | 1478 | Not measured | Only Qwen3.5-27B measured |
| LMArena Text: German | 1392 | Not measured | Only Qwen3.5-27B measured |
| LMArena Text: Japanese | 1346 | Not measured | Only Qwen3.5-27B measured |
| LMArena Text: Korean | 1359 | Not measured | Only Qwen3.5-27B measured |
| LMArena Text: French | 1410 | Not measured | Only Qwen3.5-27B measured |
| LMArena Text: Spanish | 1407 | Not measured | Only Qwen3.5-27B measured |
| LMArena Text: Russian | 1390 | Not measured | Only Qwen3.5-27B measured |
| LMArena Text: Polish | 1375 | Not measured | Only Qwen3.5-27B measured |
| LMArena Text: multi-turn | 1410 | Not measured | Only Qwen3.5-27B measured |
| LMArena Text: longer queries | 1413 | Not measured | Only Qwen3.5-27B measured |
| LMArena Text: writing and language | 1380 | Not measured | Only Qwen3.5-27B measured |
| LMArena Text: entertainment and media | 1363 | Not measured | Only Qwen3.5-27B measured |
| LMArena Vision: English | 1246 | Not measured | Only Qwen3.5-27B measured |
| LMArena Vision: Chinese | 1301 | Not measured | Only Qwen3.5-27B measured |
| LMArena Vision: reading text | 1246 | Not measured | Only Qwen3.5-27B measured |
| LMArena Vision: humor | 1227 | Not measured | Only Qwen3.5-27B measured |
| LMArena Vision: captioning | 1170 | Not measured | Only Qwen3.5-27B measured |
| LMArena Vision: recognizing things | 1210 | Not measured | Only Qwen3.5-27B measured |
| LMArena Vision: creative writing | 1224 | Not measured | Only Qwen3.5-27B measured |
| Neither model has a result on the other 17 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Qwen3.5-27B | 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 Coder Flash costs less
Repository review
50K input + 3K output tokens
Qwen3 Coder Flash costs less
Agent loop
200K input + 10K output tokens
Qwen3 Coder 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 | Qwen3.5-27B | Qwen3 Coder Flash |
|---|---|---|
| Maker | Qwen | Qwen |
| Weights | Open weights | No public weights listed |
| Released | February 25, 2026 | September 17, 2025 |
| Context window | 262K | 1M |
| Input $/Mtok | $0.195 | $0.195 |
| Output $/Mtok | $1.56 | $0.975 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 1 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Qwen3.5-27B better than Qwen3 Coder Flash for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Compare them on price, context and the boards below.
Which is cheaper, Qwen3.5-27B or Qwen3 Coder Flash?
Qwen3.5-27B costs $0.195 per million input tokens and $1.56 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, Qwen3.5-27B or Qwen3 Coder Flash?
Qwen3 Coder Flash, with 1M tokens against 262K.
How many benchmarks is the Qwen3.5-27B vs Qwen3 Coder Flash comparison based on?
0 benchmarks have a result for both models as of October 21, 2026. Qwen3.5-27B's coding index rests on 1 independent benchmark and Qwen3 Coder Flash's on 0. Where only one model has a result, the page says so instead of naming a winner.