Qwen3.5 Plus 2026-02-15 vs Qwen3.6 27B
Qwen3.5 Plus 2026-02-15 costs 1.7x less per output token than Qwen3.6 27B ($1.56 vs $2.70 per million). Updated October 23, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- No data
- Output $/M
- $1.56
- Coding
- 36.8
- Overall
- 45.3
- Output $/M
- $2.70
Qwen3.5 Plus 2026-02-15 or Qwen3.6 27B: which to pick
Only Qwen3.6 27B has a coding score, 36.8 on the Vibe Coding Index; Qwen3.5 Plus 2026-02-15 has none, so the two cannot be ranked on coding.
Pick Qwen3.5 Plus 2026-02-15 for output tokens 1.7x cheaper ($1.56 vs $2.70 per million) and a larger context window (1M against 262K tokens).
No benchmark has tested both yet. Qwen3.5 Plus 2026-02-15 has results on Design Arena: websites, Design Arena: UI components and Design Arena: game dev; Qwen3.6 27B on AA Coding Index, SWE-bench Verified (Vals AI) and Vibe Code Bench (Vals AI). Compare them on price and context instead.
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
No call
Only Qwen3.6 27B has a AA Intelligence Index result, 21.4.
Directional only
Agentic work
AA Agentic Index
No call
Only Qwen3.6 27B has a AA Agentic Index result, 18.5.
Directional only
Web design
Design Arena: websites
No call
Only Qwen3.5 Plus 2026-02-15 has a Design Arena: websites result, 1187.
Directional only
Long documents
Listed context window
Qwen3.5 Plus 2026-02-15
Qwen3.5 Plus 2026-02-15 takes 1M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3.5 Plus 2026-02-15
Qwen3.5 Plus 2026-02-15 $0.0010, 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
- Qwen3.5 Plus 2026-02-15 not benchmarked, Qwen3.6 27B 36.8 from 2 benchmarks.
- Widest category
- None yet: no category has been tested on both models.
- Widest single gap
- None yet: no benchmark has tested both models.
- Output price
- Qwen3.5 Plus 2026-02-15 $1.56 against Qwen3.6 27B $2.70 per million output tokens, 1.7x apart.
- Context window
- Qwen3.5 Plus 2026-02-15 takes 1M tokens, Qwen3.6 27B 262K.
Benchmark by benchmark
Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.
CodingDirectional onlySix of these boards feed the Vibe Coding Index5 boards measured
| Benchmark | Qwen3.5 Plus 2026-02-15 | Qwen3.6 27B | Leader |
|---|---|---|---|
| AA Coding Index | Not measured | 53.7 | Only Qwen3.6 27B measured |
| 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 |
| Neither model has a result on the other 38 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | Qwen3.5 Plus 2026-02-15 | Qwen3.6 27B | Leader |
|---|---|---|---|
| AA Intelligence Index | Not measured | 21.4 | Only Qwen3.6 27B measured |
| Epoch Capabilities Index | Not measured | 146.2 | Only Qwen3.6 27B measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | Qwen3.5 Plus 2026-02-15 | Qwen3.6 27B | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 18.5 | Only Qwen3.6 27B measured |
| τ²-Bench Telecom | Not measured | 94.2% | Only Qwen3.6 27B measured |
| Neither model has a result on the other 40 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index4 boards measured
| Benchmark | Qwen3.5 Plus 2026-02-15 | 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) | Not measured | 85.9% | Only Qwen3.6 27B measured |
| Mystery game puzzles | Not measured | 7.0% | Only Qwen3.6 27B measured |
| Neither model has a result on the other 19 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | Qwen3.5 Plus 2026-02-15 | Qwen3.6 27B | Leader |
|---|---|---|---|
| OTIS Mock AIME | Not measured | 91.1% | Only Qwen3.6 27B measured |
| FrontierMath, tiers 1 to 3 | Not measured | 35.1% | Only Qwen3.6 27B measured |
| Neither model has a result on the other 12 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index4 boards measured
| Benchmark | Qwen3.5 Plus 2026-02-15 | 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 |
| Neither model has a result on the other 16 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards measured
| Benchmark | Qwen3.5 Plus 2026-02-15 | Qwen3.6 27B | Leader |
|---|---|---|---|
| Design Arena: websites | 1187 | Not measured | Only Qwen3.5 Plus 2026-02-15 measured |
| Design Arena: UI components | 1175 | Not measured | Only Qwen3.5 Plus 2026-02-15 measured |
| Design Arena: game dev | 1105 | Not measured | Only Qwen3.5 Plus 2026-02-15 measured |
| Design Arena: data viz | 1135 | Not measured | Only Qwen3.5 Plus 2026-02-15 measured |
| Design Arena: 3D | 1120 | Not measured | Only Qwen3.5 Plus 2026-02-15 measured |
| Design Arena: all code categories | 1166 | Not measured | Only Qwen3.5 Plus 2026-02-15 measured |
| Design Arena: SVG | 1107 | Not measured | Only Qwen3.5 Plus 2026-02-15 measured |
| Design Arena: ASCII art | 1094 | Not measured | Only Qwen3.5 Plus 2026-02-15 measured |
| Neither model has a result on the other 1 board here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index6 boards measured
| Benchmark | Qwen3.5 Plus 2026-02-15 | 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 | Not measured | 78.1% | Only Qwen3.6 27B measured |
| LMCA | Not measured | 34.5% | Only Qwen3.6 27B measured |
| EQ-Bench 4 | Not measured | 1026 | Only Qwen3.6 27B measured |
| Neither model has a result on the other 42 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 Plus 2026-02-15 costs less
Repository review
50K input + 3K output tokens
Qwen3.5 Plus 2026-02-15 costs less
Agent loop
200K input + 10K output tokens
Qwen3.5 Plus 2026-02-15 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 Plus 2026-02-15 | Qwen3.6 27B |
|---|---|---|
| Maker | Qwen | Qwen |
| Weights | No public weights listed | Open weights |
| Released | February 16, 2026 | April 27, 2026 |
| Context window | 1M | 262K |
| Input $/Mtok | $0.26 | $0.45 |
| Output $/Mtok | $1.56 | $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 Qwen3.5 Plus 2026-02-15 better than Qwen3.6 27B for coding?
Only Qwen3.6 27B has a coding score, 36.8 on the Vibe Coding Index; Qwen3.5 Plus 2026-02-15 has none, so the two cannot be ranked on coding. Pick Qwen3.5 Plus 2026-02-15 for output tokens 1.7x cheaper ($1.56 vs $2.70 per million) and a larger context window (1M against 262K tokens).
Which is cheaper, Qwen3.5 Plus 2026-02-15 or Qwen3.6 27B?
Qwen3.5 Plus 2026-02-15 costs $0.26 per million input tokens and $1.56 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, Qwen3.5 Plus 2026-02-15 or Qwen3.6 27B?
Qwen3.5 Plus 2026-02-15, with 1M tokens against 262K.
Has any benchmark tested both Qwen3.5 Plus 2026-02-15 and Qwen3.6 27B?
No benchmark has tested both yet. Qwen3.5 Plus 2026-02-15 has results on Design Arena: websites, Design Arena: UI components and Design Arena: game dev; Qwen3.6 27B on AA Coding Index, SWE-bench Verified (Vals AI) and Vibe Code Bench (Vals AI). Compare them on price and context instead. Data as of October 23, 2026.