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DeepSeek V4 Flash 0731 vs Qwen3.6 27B

DeepSeek V4 Flash 0731 leads Qwen3.6 27B on coding, 51.8 to 36.8 on the Vibe Coding Index, and DeepSeek V4 Flash 0731 costs 6.8x less per output token ($0.396 vs $2.70 per million). Updated October 22, 2026; 18 benchmarks have a result for both.

Replace DeepSeek V4 Flash 0731 Replace Qwen3.6 27B
DeepSeek V4 Flash 0731DeepSeek
Coding
51.8
Overall
55.2
Output $/M
$0.396
16
Qwen3.6 27BQwen
Coding
36.8
Overall
45.3
Output $/M
$2.70
2
vs boards won of 18 shared

DeepSeek V4 Flash 0731 or Qwen3.6 27B: which to pick

Pick DeepSeek V4 Flash 0731 for coding: it scores 51.8 on the Vibe Coding Index against 36.8 for Qwen3.6 27B.

Pick Qwen3.6 27B for work measured by CorpFin (Vals AI) or TaxEval (Vals AI), where it leads.

Model ADeepSeek V4 Flash 0731DeepSeek51.8/1004 independent benchmarks$0.01 per solved taskModel BQwen3.6 27BQwen36.8/1002 independent benchmarks$1.30 per solved task
Shared results
18
DeepSeek V4 Flash 0731 only
37
Qwen3.6 27B only
6
Like-for-like categories
7 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, Qwen3.6 27B 36.8 from 2 benchmarks.
Widest category
Coding, 26.1 points apart on average over 4 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): DeepSeek V4 Flash 0731 74.7% against Qwen3.6 27B 11.9%, 62.8 points apart on a 0 to 100 scale.
Output price
DeepSeek V4 Flash 0731 $0.396 against Qwen3.6 27B $2.70 per million output tokens, 6.8x apart.
Context window
DeepSeek V4 Flash 0731 takes 1.05M tokens, Qwen3.6 27B 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 0731BarsQwen3.6 27BTies
Coding40
Intelligence20
Agentic work10
Reasoning40
Math20
Knowledge02
General30
All shared boards162
CodingLike-for-likeSix of these boards feed the Vibe Coding Index40
Coding benchmarks for DeepSeek V4 Flash 0731 and Qwen3.6 27B
BenchmarkDeepSeek V4 Flash 0731Qwen3.6 27BLeader
AA Coding Index69.153.7DeepSeek V4 Flash 0731
LiveCodeBench (Vals AI)87.3%Not measuredOnly DeepSeek V4 Flash 0731 measured
SWE-bench Verified (Vals AI)88.8%70.0%DeepSeek V4 Flash 0731
Terminal-Bench 4 (Vals AI)18.7%Not measuredOnly DeepSeek V4 Flash 0731 measured
Vibe Code Bench (Vals AI)74.7%11.9%DeepSeek V4 Flash 0731
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%42.8%DeepSeek V4 Flash 0731
Terminal-Bench Hard (Artificial Analysis run)Not measured34.8%Only Qwen3.6 27B 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 23 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for DeepSeek V4 Flash 0731 and Qwen3.6 27B
BenchmarkDeepSeek V4 Flash 0731Qwen3.6 27BLeader
AA Intelligence Index34.321.4DeepSeek V4 Flash 0731
Epoch Capabilities Index154.8146.2DeepSeek V4 Flash 0731
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for DeepSeek V4 Flash 0731 and Qwen3.6 27B
BenchmarkDeepSeek V4 Flash 0731Qwen3.6 27BLeader
AA Agentic Index41.018.5DeepSeek V4 Flash 0731
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 measured94.2%Only Qwen3.6 27B measured
Neither model has a result on the other 33 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index40
Reasoning benchmarks for DeepSeek V4 Flash 0731 and Qwen3.6 27B
BenchmarkDeepSeek V4 Flash 0731Qwen3.6 27BLeader
GPQA Diamond89.9%Not measuredOnly DeepSeek V4 Flash 0731 measured
GPQA Diamond (Artificial Analysis run)90.8%84.2%DeepSeek V4 Flash 0731
Humanity's Last Exam (Artificial Analysis run)38.6%23.1%DeepSeek V4 Flash 0731
GPQA Diamond (Epoch AI run)91.0%85.9%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%7.0%DeepSeek V4 Flash 0731
Neither model has a result on the other 13 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for DeepSeek V4 Flash 0731 and Qwen3.6 27B
BenchmarkDeepSeek V4 Flash 0731Qwen3.6 27BLeader
OTIS Mock AIME94.4%91.1%DeepSeek V4 Flash 0731
FrontierMath, tiers 1 to 357.5%35.1%DeepSeek V4 Flash 0731
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
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index02
Knowledge benchmarks for DeepSeek V4 Flash 0731 and Qwen3.6 27B
BenchmarkDeepSeek V4 Flash 0731Qwen3.6 27BLeader
MMLU Pro86.2%Not measuredOnly DeepSeek V4 Flash 0731 measured
LegalBench (Vals AI)77.7%Not measuredOnly DeepSeek V4 Flash 0731 measured
CaseLaw (Vals AI)Not measured53.2%Only Qwen3.6 27B measured
CorpFin (Vals AI)61.9%62.3%Qwen3.6 27B
TaxEval (Vals AI)70.7%71.3%Qwen3.6 27B
MortgageTax (Vals AI)Not measured68.3%Only Qwen3.6 27B 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 10 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 Qwen3.6 27B
BenchmarkDeepSeek V4 Flash 0731Qwen3.6 27BLeader
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 Qwen3.6 27B
BenchmarkDeepSeek V4 Flash 0731Qwen3.6 27BLeader
SAGE (Vals AI)Not measured45.6%Only Qwen3.6 27B measured
MedScribe (Vals AI)80.4%Not measuredOnly DeepSeek V4 Flash 0731 measured
IFBenchNot measured67.6%Only Qwen3.6 27B measured
Long context reasoning (AA-LCR)79.7%77.3%DeepSeek V4 Flash 0731
DTBench90.9%78.1%DeepSeek V4 Flash 0731
LMCA41.7%34.5%DeepSeek V4 Flash 0731
Neither model has a result on the other 40 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 Qwen3.6 27B
BenchmarkDeepSeek V4 Flash 0731Qwen3.6 27BLeader
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
Qwen3.6 27B$0.0018Fits in one request

DeepSeek V4 Flash 0731 costs less

Repository review

50K input + 3K output tokens

DeepSeek V4 Flash 0731$0.0082Fits in one request
Qwen3.6 27B$0.031Fits in one request

DeepSeek V4 Flash 0731 costs less

Agent loop

200K input + 10K output tokens

DeepSeek V4 Flash 0731$0.032Fits in one request
Qwen3.6 27B$0.117Fits in one request

DeepSeek V4 Flash 0731 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 Qwen3.6 27B
SpecificationDeepSeek V4 Flash 0731Qwen3.6 27B
MakerDeepSeekQwen
WeightsOpen weightsOpen weights
ReleasedJuly 31, 2026April 27, 2026
Context window1.05M262K
Input $/Mtok$0.14$0.45
Output $/Mtok$0.396$2.70
Coding index51.836.8
Independent measurements behind it42
Cost per solved task$0.01$1.30
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V4 Flash 0731 better than Qwen3.6 27B for coding?

Pick DeepSeek V4 Flash 0731 for coding: it scores 51.8 on the Vibe Coding Index against 36.8 for Qwen3.6 27B. Pick Qwen3.6 27B for work measured by CorpFin (Vals AI) or TaxEval (Vals AI), where it leads.

Which is cheaper, DeepSeek V4 Flash 0731 or Qwen3.6 27B?

DeepSeek V4 Flash 0731 costs $0.14 per million input tokens and $0.396 per million output tokens; Qwen3.6 27B costs $0.45 and $2.70. Per solved SWE-bench Verified task, DeepSeek V4 Flash 0731 costs $0.01 and Qwen3.6 27B $1.30.

Which has the bigger context window, DeepSeek V4 Flash 0731 or Qwen3.6 27B?

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

How many benchmarks is the DeepSeek V4 Flash 0731 vs Qwen3.6 27B comparison based on?

18 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 Qwen3.6 27B's on 2. Where only one model has a result, the page says so instead of naming a winner.

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<iframe src="https://llmbenchmark.ai/embed/compare/deepseek-v4-flash-0731-vs-qwen3-6-27b" title="DeepSeek V4 Flash 0731 vs Qwen3.6 27B, LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/deepseek-v4-flash-0731-vs-qwen3-6-27b">LLMBenchmark.ai, DeepSeek V4 Flash 0731 vs Qwen3.6 27B</a></p>