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DeepSeek V4.1 Flash 1017 vs Qwen3.5 Plus 2026-02-15

DeepSeek V4.1 Flash 1017 costs 2.6x less per output token than Qwen3.5 Plus 2026-02-15 ($0.60 vs $1.56 per million). Updated October 22, 2026; 7 benchmarks have a result for both.

DeepSeek V4.1 Flash 1017DeepSeek
Coding
70.3
Overall
67.6
Output $/M
$0.60
7
Qwen3.5 Plus 2026-02-15Qwen
Coding
No data
Overall
No data
Output $/M
$1.56
0
vs boards won of 7 shared

DeepSeek V4.1 Flash 1017 or Qwen3.5 Plus 2026-02-15: which to pick

Only DeepSeek V4.1 Flash 1017 has a coding score, 70.3 on the Vibe Coding Index; Qwen3.5 Plus 2026-02-15 has none, so the two cannot be ranked on coding.

Compare them on price, context and the boards below.

Shared results
7
DeepSeek V4.1 Flash 1017 only
32
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.

At a glance

Coding index
DeepSeek V4.1 Flash 1017 70.3 from 4 benchmarks, Qwen3.5 Plus 2026-02-15 not benchmarked.
Widest category
Web design, 21.8 points apart on average over 7 shared benchmarks.
Widest single gap
Design Arena: game dev: DeepSeek V4.1 Flash 1017 1352 against Qwen3.5 Plus 2026-02-15 1105, 30.9 points apart on a 0 to 100 scale.
Output price
DeepSeek V4.1 Flash 1017 $0.60 against Qwen3.5 Plus 2026-02-15 $1.56 per million output tokens, 2.6x apart.
Context window
DeepSeek V4.1 Flash 1017 takes 1.05M 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.

Boards won, where both have a result
CategoryDeepSeek V4.1 Flash 1017BarsQwen3.5 Plus 2026-02-15Ties
Web design70
All shared boards70
CodingDirectional onlySix of these boards feed the Vibe Coding Index9 boards, none shared
Coding benchmarks for DeepSeek V4.1 Flash 1017 and Qwen3.5 Plus 2026-02-15
BenchmarkDeepSeek V4.1 Flash 1017Qwen3.5 Plus 2026-02-15Leader
LiveBench coding96.0%Not measuredOnly DeepSeek V4.1 Flash 1017 measured
LMArena WebDev1664Not measuredOnly DeepSeek V4.1 Flash 1017 measured
Terminal-Bench 4 (Vals AI)31.8%Not measuredOnly DeepSeek V4.1 Flash 1017 measured
Vibe Code Bench (Vals AI)87.7%Not measuredOnly DeepSeek V4.1 Flash 1017 measured
Code migration (Vals AI)44.2%Not measuredOnly DeepSeek V4.1 Flash 1017 measured
SciCode55.9%Not measuredOnly DeepSeek V4.1 Flash 1017 measured
ALE-Bench1622.0Not measuredOnly DeepSeek V4.1 Flash 1017 measured
LMArena WebDev: React1667Not measuredOnly DeepSeek V4.1 Flash 1017 measured
LMArena WebDev: HTML1687Not measuredOnly DeepSeek V4.1 Flash 1017 measured
Neither model has a result on the other 34 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Intelligence benchmarks for DeepSeek V4.1 Flash 1017 and Qwen3.5 Plus 2026-02-15
BenchmarkDeepSeek V4.1 Flash 1017Qwen3.5 Plus 2026-02-15Leader
AA Intelligence Index39.5Not measuredOnly DeepSeek V4.1 Flash 1017 measured
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Agentic work benchmarks for DeepSeek V4.1 Flash 1017 and Qwen3.5 Plus 2026-02-15
BenchmarkDeepSeek V4.1 Flash 1017Qwen3.5 Plus 2026-02-15Leader
Design Arena: spreadsheets1259Not measuredOnly DeepSeek V4.1 Flash 1017 measured
LiveBench research79.5%Not measuredOnly DeepSeek V4.1 Flash 1017 measured
LiveBench browser76.0%Not measuredOnly DeepSeek V4.1 Flash 1017 measured
LiveBench long agentic50.9%Not measuredOnly DeepSeek V4.1 Flash 1017 measured
Finance Agent (Vals AI)57.0%Not measuredOnly DeepSeek V4.1 Flash 1017 measured
Tax Agent Bench (Vals AI)44.4%Not measuredOnly DeepSeek V4.1 Flash 1017 measured
Legal Research Bench (Vals AI)45.2%Not measuredOnly DeepSeek V4.1 Flash 1017 measured
Harvey's Legal Agent Benchmark (Vals AI)14.2%Not measuredOnly DeepSeek V4.1 Flash 1017 measured
Excel Modeling Benchmark (Vals AI)61.8%Not measuredOnly DeepSeek V4.1 Flash 1017 measured
Neither model has a result on the other 33 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Reasoning benchmarks for DeepSeek V4.1 Flash 1017 and Qwen3.5 Plus 2026-02-15
BenchmarkDeepSeek V4.1 Flash 1017Qwen3.5 Plus 2026-02-15Leader
LiveBench reasoning89.1%Not measuredOnly DeepSeek V4.1 Flash 1017 measured
Humanity's Last Exam (Artificial Analysis run)43.3%Not measuredOnly DeepSeek V4.1 Flash 1017 measured
GPQA Diamond (Epoch AI run)93.2%Not measuredOnly DeepSeek V4.1 Flash 1017 measured
Chess puzzles46.0%Not measuredOnly DeepSeek V4.1 Flash 1017 measured
Mystery game puzzles49.0%Not measuredOnly DeepSeek V4.1 Flash 1017 measured
Neither model has a result on the other 18 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Math benchmarks for DeepSeek V4.1 Flash 1017 and Qwen3.5 Plus 2026-02-15
BenchmarkDeepSeek V4.1 Flash 1017Qwen3.5 Plus 2026-02-15Leader
OTIS Mock AIME99.4%Not measuredOnly DeepSeek V4.1 Flash 1017 measured
FrontierMath, tiers 1 to 371.2%Not measuredOnly DeepSeek V4.1 Flash 1017 measured
FrontierMath, tier 446.3%Not measuredOnly DeepSeek V4.1 Flash 1017 measured
Neither model has a result on the other 11 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Knowledge benchmarks for DeepSeek V4.1 Flash 1017 and Qwen3.5 Plus 2026-02-15
BenchmarkDeepSeek V4.1 Flash 1017Qwen3.5 Plus 2026-02-15Leader
SimpleQA Verified42.5%Not measuredOnly DeepSeek V4.1 Flash 1017 measured
Neither model has a result on the other 19 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index70
Web design benchmarks for DeepSeek V4.1 Flash 1017 and Qwen3.5 Plus 2026-02-15
BenchmarkDeepSeek V4.1 Flash 1017Qwen3.5 Plus 2026-02-15Leader
Design Arena: websites13101187DeepSeek V4.1 Flash 1017
Design Arena: UI components13061175DeepSeek V4.1 Flash 1017
Design Arena: game dev13521105DeepSeek V4.1 Flash 1017
Design Arena: data viz13061135DeepSeek V4.1 Flash 1017
Design Arena: 3D13631118DeepSeek V4.1 Flash 1017
Design Arena: all code categories13301166DeepSeek V4.1 Flash 1017
Design Arena: SVGNot measured1107Only Qwen3.5 Plus 2026-02-15 measured
Design Arena: ASCII art12331094DeepSeek V4.1 Flash 1017
LiveBench design83.4%Not measuredOnly DeepSeek V4.1 Flash 1017 measured
GeneralDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
General benchmarks for DeepSeek V4.1 Flash 1017 and Qwen3.5 Plus 2026-02-15
BenchmarkDeepSeek V4.1 Flash 1017Qwen3.5 Plus 2026-02-15Leader
Vals Index61.3%Not measuredOnly DeepSeek V4.1 Flash 1017 measured
LiveBench data analysis79.5%Not measuredOnly DeepSeek V4.1 Flash 1017 measured
Long context reasoning (AA-LCR)82.7%Not measuredOnly DeepSeek V4.1 Flash 1017 measured
Neither model has a result on the other 45 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for DeepSeek V4.1 Flash 1017 and Qwen3.5 Plus 2026-02-15
BenchmarkDeepSeek V4.1 Flash 1017Qwen3.5 Plus 2026-02-15Leader
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

DeepSeek V4.1 Flash 1017$0.0004Fits in one request
Qwen3.5 Plus 2026-02-15$0.0010Fits in one request

DeepSeek V4.1 Flash 1017 costs less

Repository review

50K input + 3K output tokens

DeepSeek V4.1 Flash 1017$0.0093Fits in one request
Qwen3.5 Plus 2026-02-15$0.018Fits in one request

DeepSeek V4.1 Flash 1017 costs less

Agent loop

200K input + 10K output tokens

DeepSeek V4.1 Flash 1017$0.036Fits in one request
Qwen3.5 Plus 2026-02-15$0.068Fits in one request

DeepSeek V4.1 Flash 1017 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.

Specifications of DeepSeek V4.1 Flash 1017 and Qwen3.5 Plus 2026-02-15
SpecificationDeepSeek V4.1 Flash 1017Qwen3.5 Plus 2026-02-15
MakerDeepSeekQwen
WeightsOpen weightsNo public weights listed
ReleasedOctober 17, 2026February 16, 2026
Context window1.05M1M
Input $/Mtok$0.15$0.26
Output $/Mtok$0.60$1.56
Coding index70.3Not benchmarked
Independent measurements behind it40
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V4.1 Flash 1017 better than Qwen3.5 Plus 2026-02-15 for coding?

Only DeepSeek V4.1 Flash 1017 has a coding score, 70.3 on the Vibe Coding Index; Qwen3.5 Plus 2026-02-15 has none, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, DeepSeek V4.1 Flash 1017 or Qwen3.5 Plus 2026-02-15?

DeepSeek V4.1 Flash 1017 costs $0.15 per million input tokens and $0.60 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, DeepSeek V4.1 Flash 1017 or Qwen3.5 Plus 2026-02-15?

DeepSeek V4.1 Flash 1017, with 1.05M tokens against 1M.

How many benchmarks is the DeepSeek V4.1 Flash 1017 vs Qwen3.5 Plus 2026-02-15 comparison based on?

7 benchmarks have a result for both models as of October 22, 2026. DeepSeek V4.1 Flash 1017's coding index rests on 4 independent benchmarks 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.

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