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DeepSeek V4 Flash 0731 vs Qwen3.5-9B

DeepSeek V4 Flash 0731 leads Qwen3.5-9B on the Artificial Analysis Intelligence Index, 34.3 to 13.3, and Qwen3.5-9B costs 2.6x less per output token ($0.15 vs $0.396 per million). Updated October 22, 2026; 11 benchmarks have a result for both.

Replace DeepSeek V4 Flash 0731 Replace Qwen3.5-9B
DeepSeek V4 Flash 0731DeepSeek
Coding
51.8
Overall
55.2
Output $/M
$0.396
11
Qwen3.5-9BQwen
Coding
No data
Overall
No data
Output $/M
$0.15
0
vs boards won of 11 shared

DeepSeek V4 Flash 0731 or Qwen3.5-9B: which to pick

Only DeepSeek V4 Flash 0731 has a coding score, 51.8 on the Vibe Coding Index; Qwen3.5-9B has none, so the two cannot be ranked on coding.

Pick Qwen3.5-9B for output tokens 2.6x cheaper ($0.15 vs $0.396 per million).

Model ADeepSeek V4 Flash 0731DeepSeek51.8/1004 independent benchmarks$0.01 per solved taskModel BQwen3.5-9BQwenNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
11
DeepSeek V4 Flash 0731 only
44
Qwen3.5-9B only
4
Like-for-like categories
5 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 Flash 0731 51.8 from 4 benchmarks, Qwen3.5-9B not benchmarked.
Widest category
Coding, 33.2 points apart on average over 2 shared benchmarks.
Widest single gap
AA Coding Index: DeepSeek V4 Flash 0731 69.1 against Qwen3.5-9B 23.5, 45.6 points apart on a 0 to 100 scale.
Output price
DeepSeek V4 Flash 0731 $0.396 against Qwen3.5-9B $0.15 per million output tokens, 2.6x apart.
Context window
DeepSeek V4 Flash 0731 takes 1.05M tokens, Qwen3.5-9B 262K.

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 Flash 0731BarsQwen3.5-9BTies
Coding20
Intelligence20
Reasoning30
Math10
General30
All shared boards110
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for DeepSeek V4 Flash 0731 and Qwen3.5-9B
BenchmarkDeepSeek V4 Flash 0731Qwen3.5-9BLeader
AA Coding Index69.123.5DeepSeek V4 Flash 0731
LiveCodeBench (Vals AI)87.3%Not measuredOnly DeepSeek V4 Flash 0731 measured
SWE-bench Verified (Vals AI)88.8%Not measuredOnly DeepSeek V4 Flash 0731 measured
Terminal-Bench 4 (Vals AI)18.7%Not measuredOnly DeepSeek V4 Flash 0731 measured
Vibe Code Bench (Vals AI)74.7%Not measuredOnly DeepSeek V4 Flash 0731 measured
Code migration (Vals AI)38.6%Not measuredOnly DeepSeek V4 Flash 0731 measured
ProgramBench (Vals AI)0.0%Not measuredOnly DeepSeek V4 Flash 0731 measured
IOI (Vals AI)32.7%Not measuredOnly DeepSeek V4 Flash 0731 measured
Terminal-Bench 2.1 (Vals AI)67.0%Not measuredOnly DeepSeek V4 Flash 0731 measured
SkillsBench (Vals AI)50.7%Not measuredOnly DeepSeek V4 Flash 0731 measured
CyberBench (Vals AI)72.1%Not measuredOnly DeepSeek V4 Flash 0731 measured
SciCode50.3%29.5%DeepSeek V4 Flash 0731
Terminal-Bench Hard (Artificial Analysis run)Not measured24.2%Only Qwen3.5-9B measured
Terminal-BenchNot measured9.2%Only Qwen3.5-9B measured
FrontierCode18.8%Not measuredOnly DeepSeek V4 Flash 0731 measured
WeirdML63.0%Not measuredOnly DeepSeek V4 Flash 0731 measured
ALE-Bench1306.1Not measuredOnly DeepSeek V4 Flash 0731 measured
Neither model has a result on the other 22 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for DeepSeek V4 Flash 0731 and Qwen3.5-9B
BenchmarkDeepSeek V4 Flash 0731Qwen3.5-9BLeader
AA Intelligence Index34.313.3DeepSeek V4 Flash 0731
Epoch Capabilities Index154.8139.3DeepSeek V4 Flash 0731
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Agentic work benchmarks for DeepSeek V4 Flash 0731 and Qwen3.5-9B
BenchmarkDeepSeek V4 Flash 0731Qwen3.5-9BLeader
AA Agentic Index41.0Not measuredOnly DeepSeek V4 Flash 0731 measured
Finance Agent (Vals AI)49.5%Not measuredOnly DeepSeek V4 Flash 0731 measured
Tax Agent Bench (Vals AI)28.1%Not measuredOnly DeepSeek V4 Flash 0731 measured
Legal Research Bench (Vals AI)30.3%Not measuredOnly DeepSeek V4 Flash 0731 measured
Excel Modeling Benchmark (Vals AI)57.0%Not measuredOnly DeepSeek V4 Flash 0731 measured
BioMysteryBench (Vals AI)64.4%Not measuredOnly DeepSeek V4 Flash 0731 measured
Terminal-Bench-Science (Vals AI)4.3%Not measuredOnly DeepSeek V4 Flash 0731 measured
τ²-Bench TelecomNot measured86.8%Only Qwen3.5-9B measured
Neither model has a result on the other 33 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
Reasoning benchmarks for DeepSeek V4 Flash 0731 and Qwen3.5-9B
BenchmarkDeepSeek V4 Flash 0731Qwen3.5-9BLeader
GPQA Diamond89.9%Not measuredOnly DeepSeek V4 Flash 0731 measured
GPQA Diamond (Artificial Analysis run)90.8%80.6%DeepSeek V4 Flash 0731
Humanity's Last Exam (Artificial Analysis run)38.6%14.9%DeepSeek V4 Flash 0731
GPQA Diamond (Epoch AI run)91.0%79.0%DeepSeek V4 Flash 0731
ARC-AGI89.0%Not measuredOnly DeepSeek V4 Flash 0731 measured
ARC-AGI-261.4%Not measuredOnly DeepSeek V4 Flash 0731 measured
SimpleBench61.1%Not measuredOnly DeepSeek V4 Flash 0731 measured
Chess puzzles32.0%Not measuredOnly DeepSeek V4 Flash 0731 measured
Mystery game puzzles34.0%Not measuredOnly DeepSeek V4 Flash 0731 measured
Neither model has a result on the other 13 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index10
Math benchmarks for DeepSeek V4 Flash 0731 and Qwen3.5-9B
BenchmarkDeepSeek V4 Flash 0731Qwen3.5-9BLeader
OTIS Mock AIME94.4%61.7%DeepSeek V4 Flash 0731
FrontierMath, tiers 1 to 357.5%Not measuredOnly DeepSeek V4 Flash 0731 measured
FrontierMath, tier 424.4%Not measuredOnly DeepSeek V4 Flash 0731 measured
ProofBench56.0%Not measuredOnly DeepSeek V4 Flash 0731 measured
Neither model has a result on the other 9 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Knowledge benchmarks for DeepSeek V4 Flash 0731 and Qwen3.5-9B
BenchmarkDeepSeek V4 Flash 0731Qwen3.5-9BLeader
MMLU Pro86.2%Not measuredOnly DeepSeek V4 Flash 0731 measured
LegalBench (Vals AI)77.7%Not measuredOnly DeepSeek V4 Flash 0731 measured
CorpFin (Vals AI)61.9%Not measuredOnly DeepSeek V4 Flash 0731 measured
TaxEval (Vals AI)70.7%Not measuredOnly DeepSeek V4 Flash 0731 measured
MedCode (Vals AI)41.4%Not measuredOnly DeepSeek V4 Flash 0731 measured
SimpleQA Verified33.6%Not measuredOnly DeepSeek V4 Flash 0731 measured
Neither model has a result on the other 12 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for DeepSeek V4 Flash 0731 and Qwen3.5-9B
BenchmarkDeepSeek V4 Flash 0731Qwen3.5-9BLeader
Design Arena: websites1237Not measuredOnly DeepSeek V4 Flash 0731 measured
Design Arena: UI components1233Not measuredOnly DeepSeek V4 Flash 0731 measured
Design Arena: game dev1207Not measuredOnly DeepSeek V4 Flash 0731 measured
Design Arena: data viz1180Not measuredOnly DeepSeek V4 Flash 0731 measured
Design Arena: 3D1208Not measuredOnly DeepSeek V4 Flash 0731 measured
Design Arena: all code categories1229Not measuredOnly DeepSeek V4 Flash 0731 measured
Design Arena: SVG1184Not measuredOnly DeepSeek V4 Flash 0731 measured
Design Arena: ASCII art1090Not measuredOnly DeepSeek V4 Flash 0731 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index30
General benchmarks for DeepSeek V4 Flash 0731 and Qwen3.5-9B
BenchmarkDeepSeek V4 Flash 0731Qwen3.5-9BLeader
MedScribe (Vals AI)80.4%Not measuredOnly DeepSeek V4 Flash 0731 measured
IFBenchNot measured66.7%Only Qwen3.5-9B measured
Long context reasoning (AA-LCR)79.7%70.0%DeepSeek V4 Flash 0731
DTBench90.9%71.2%DeepSeek V4 Flash 0731
LMCA41.7%24.5%DeepSeek V4 Flash 0731
Neither model has a result on the other 41 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for DeepSeek V4 Flash 0731 and Qwen3.5-9B
BenchmarkDeepSeek V4 Flash 0731Qwen3.5-9BLeader
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 Flash 0731$0.0003Fits in one request
Qwen3.5-9B$0.0002Fits in one request

Qwen3.5-9B costs less

Repository review

50K input + 3K output tokens

DeepSeek V4 Flash 0731$0.0082Fits in one request
Qwen3.5-9B$0.0054Fits in one request

Qwen3.5-9B costs less

Agent loop

200K input + 10K output tokens

DeepSeek V4 Flash 0731$0.032Fits in one request
Qwen3.5-9B$0.021Fits in one request

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.

Specifications of DeepSeek V4 Flash 0731 and Qwen3.5-9B
SpecificationDeepSeek V4 Flash 0731Qwen3.5-9B
MakerDeepSeekQwen
WeightsOpen weightsOpen weights
ReleasedJuly 31, 2026March 10, 2026
Context window1.05M262K
Input $/Mtok$0.14$0.10
Output $/Mtok$0.396$0.15
Coding index51.8Not benchmarked
Independent measurements behind it40
Cost per solved task$0.01Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V4 Flash 0731 better than Qwen3.5-9B for coding?

Only DeepSeek V4 Flash 0731 has a coding score, 51.8 on the Vibe Coding Index; Qwen3.5-9B has none, so the two cannot be ranked on coding. Pick Qwen3.5-9B for output tokens 2.6x cheaper ($0.15 vs $0.396 per million).

Which is cheaper, DeepSeek V4 Flash 0731 or Qwen3.5-9B?

DeepSeek V4 Flash 0731 costs $0.14 per million input tokens and $0.396 per million output tokens; Qwen3.5-9B costs $0.10 and $0.15. Cost per solved task is known for DeepSeek V4 Flash 0731 only.

Which has the bigger context window, DeepSeek V4 Flash 0731 or Qwen3.5-9B?

DeepSeek V4 Flash 0731, with 1.05M tokens against 262K.

How many benchmarks is the DeepSeek V4 Flash 0731 vs Qwen3.5-9B comparison based on?

11 benchmarks have a result for both models as of October 22, 2026. DeepSeek V4 Flash 0731's coding index rests on 4 independent benchmarks and Qwen3.5-9B's on 0. Where only one model has a result, the page says so instead of naming a winner.

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