Qwen3.5 397B A17B vs Qwen3.5 Plus 2026-02-15
Qwen3.5 Plus 2026-02-15 costs 1.5x less per output token than Qwen3.5 397B A17B ($1.56 vs $2.34 per million). Updated October 22, 2026; 7 benchmarks have a result for both.
Qwen3.5 397B A17B or Qwen3.5 Plus 2026-02-15: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Qwen3.5 397B A17B for work measured by Design Arena: UI components, where it leads.
- Shared results
- 7
- Qwen3.5 397B A17B only
- 59
- Qwen3.5 Plus 2026-02-15 only
- 1
- Like-for-like categories
- 1 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 Qwen3.5 397B A17B has a AA Intelligence Index result, 21.4.
Directional only
Web design
Design Arena: websites
Qwen3.5 397B A17B
Qwen3.5 397B A17B leads, 1190 against 1187.
Same board, both measured
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 397B A17B $0.0016, Qwen3.5 Plus 2026-02-15 $0.0010 per turn.
List prices
At a glance
- Coding index
- Qwen3.5 397B A17B not benchmarked, Qwen3.5 Plus 2026-02-15 not benchmarked.
- Widest category
- Web design, 3.2 points apart on average over 7 shared benchmarks.
- Widest single gap
- Design Arena: 3D: Qwen3.5 397B A17B 1160 against Qwen3.5 Plus 2026-02-15 1118, 5.2 points apart on a 0 to 100 scale.
- Output price
- Qwen3.5 397B A17B $2.34 against Qwen3.5 Plus 2026-02-15 $1.56 per million output tokens, 1.5x apart.
- Context window
- Qwen3.5 397B A17B takes 262K tokens, Qwen3.5 Plus 2026-02-15 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 | Qwen3.5 397B A17B | Bars | Qwen3.5 Plus 2026-02-15 | Ties |
|---|---|---|---|---|
| Web design | 6 | 1 | ||
| All shared boards | 6 | 1 |
CodingDirectional onlySix of these boards feed the Vibe Coding Index8 boards, none shared
| Benchmark | Qwen3.5 397B A17B | Qwen3.5 Plus 2026-02-15 | Leader |
|---|---|---|---|
| LMArena WebDev | 1400 | Not measured | Only Qwen3.5 397B A17B measured |
| SciCode | 44.8% | Not measured | Only Qwen3.5 397B A17B measured |
| Terminal-Bench Hard (Artificial Analysis run) | 40.9% | Not measured | Only Qwen3.5 397B A17B measured |
| ALE-Bench | 621.9 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: coding | 1464 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: software and IT | 1463 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena WebDev: React | 1388 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena WebDev: HTML | 1410 | Not measured | Only Qwen3.5 397B A17B measured |
| Neither model has a result on the other 35 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Qwen3.5 397B A17B | Qwen3.5 Plus 2026-02-15 | Leader |
|---|---|---|---|
| AA Intelligence Index | 21.4 | Not measured | Only Qwen3.5 397B A17B measured |
| Epoch Capabilities Index | 146.8 | Not measured | Only Qwen3.5 397B A17B measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Qwen3.5 397B A17B | Qwen3.5 Plus 2026-02-15 | Leader |
|---|---|---|---|
| τ²-Bench Telecom | 95.6% | Not measured | Only Qwen3.5 397B A17B measured |
| APEX-Agents | 24.9% | Not measured | Only Qwen3.5 397B A17B measured |
| Neither model has a result on the other 40 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
| Benchmark | Qwen3.5 397B A17B | Qwen3.5 Plus 2026-02-15 | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 89.3% | Not measured | Only Qwen3.5 397B A17B measured |
| Humanity's Last Exam (Artificial Analysis run) | 29.0% | Not measured | Only Qwen3.5 397B A17B measured |
| GPQA Diamond (Epoch AI run) | 86.4% | Not measured | Only Qwen3.5 397B A17B measured |
| Mystery game puzzles | 18.0% | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: hard prompts | 1448 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: expert | 1462 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: hard prompts in English | 1450 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Vision: diagrams | 1277 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Vision: homework | 1292 | Not measured | Only Qwen3.5 397B A17B measured |
| Neither model has a result on the other 14 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
| Benchmark | Qwen3.5 397B A17B | Qwen3.5 Plus 2026-02-15 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 88.9% | Not measured | Only Qwen3.5 397B A17B measured |
| FrontierMath, tiers 1 to 3 | 31.2% | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: math | 1453 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: mathematical work | 1454 | Not measured | Only Qwen3.5 397B A17B measured |
| MathArena | 19.2% | Not measured | Only Qwen3.5 397B A17B measured |
| Neither model has a result on the other 9 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
| Benchmark | Qwen3.5 397B A17B | Qwen3.5 Plus 2026-02-15 | Leader |
|---|---|---|---|
| LMArena Text: science | 1457 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: medicine and healthcare | 1455 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: legal and government | 1441 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: business and finance | 1435 | Not measured | Only Qwen3.5 397B A17B measured |
| Neither model has a result on the other 16 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index61
| Benchmark | Qwen3.5 397B A17B | Qwen3.5 Plus 2026-02-15 | Leader |
|---|---|---|---|
| Design Arena: websites | 1190 | 1187 | Qwen3.5 397B A17B |
| Design Arena: UI components | 1161 | 1175 | Qwen3.5 Plus 2026-02-15 |
| Design Arena: game dev | 1140 | 1105 | Qwen3.5 397B A17B |
| Design Arena: data viz | 1175 | 1135 | Qwen3.5 397B A17B |
| Design Arena: 3D | 1160 | 1118 | Qwen3.5 397B A17B |
| Design Arena: all code categories | 1179 | 1166 | Qwen3.5 397B A17B |
| Design Arena: SVG | 1139 | 1107 | Qwen3.5 397B A17B |
| Design Arena: ASCII art | Not measured | 1094 | 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 index29 boards, none shared
| Benchmark | Qwen3.5 397B A17B | Qwen3.5 Plus 2026-02-15 | Leader |
|---|---|---|---|
| IFBench | 78.8% | Not measured | Only Qwen3.5 397B A17B measured |
| Long context reasoning (AA-LCR) | 77.3% | Not measured | Only Qwen3.5 397B A17B measured |
| DTBench | 87.5% | Not measured | Only Qwen3.5 397B A17B measured |
| LMCA | 37.9% | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text | 1437 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: instruction following | 1424 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: creative writing | 1402 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Vision | 1262 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: English | 1443 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: non-English | 1430 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: Chinese | 1498 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: German | 1445 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: Japanese | 1429 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: Korean | 1384 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: French | 1462 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: Spanish | 1441 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: Russian | 1430 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: Polish | 1447 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: multi-turn | 1446 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: longer queries | 1441 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: writing and language | 1415 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Text: entertainment and media | 1399 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Vision: English | 1268 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Vision: Chinese | 1314 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Vision: reading text | 1271 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Vision: humor | 1262 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Vision: captioning | 1230 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Vision: recognizing things | 1265 | Not measured | Only Qwen3.5 397B A17B measured |
| LMArena Vision: creative writing | 1260 | Not measured | Only Qwen3.5 397B A17B measured |
| Neither model has a result on the other 19 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Qwen3.5 397B A17B | Qwen3.5 Plus 2026-02-15 | 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 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 397B A17B | Qwen3.5 Plus 2026-02-15 |
|---|---|---|
| Maker | Qwen | Qwen |
| Weights | Open weights | No public weights listed |
| Released | February 16, 2026 | February 16, 2026 |
| Context window | 262K | 1M |
| Input $/Mtok | $0.39 | $0.26 |
| Output $/Mtok | $2.34 | $1.56 |
| 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 397B A17B better than Qwen3.5 Plus 2026-02-15 for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Qwen3.5 397B A17B for work measured by Design Arena: UI components, where it leads.
Which is cheaper, Qwen3.5 397B A17B or Qwen3.5 Plus 2026-02-15?
Qwen3.5 397B A17B costs $0.39 per million input tokens and $2.34 per million output tokens; Qwen3.5 Plus 2026-02-15 costs $0.26 and $1.56. Cost per solved task is known for neither of them.
Which has the bigger context window, Qwen3.5 397B A17B or Qwen3.5 Plus 2026-02-15?
Qwen3.5 Plus 2026-02-15, with 1M tokens against 262K.
How many benchmarks is the Qwen3.5 397B A17B vs Qwen3.5 Plus 2026-02-15 comparison based on?
7 benchmarks have a result for both models as of October 22, 2026. Qwen3.5 397B A17B's coding index rests on 1 independent benchmark and Qwen3.5 Plus 2026-02-15's on 0. Where only one model has a result, the page says so instead of naming a winner.