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DeepSeek V4 Flash 0423 vs Qwen3.5-122B-A10B

DeepSeek V4 Flash 0423 leads Qwen3.5-122B-A10B on the Artificial Analysis Intelligence Index, 24.4 to 17.7, and DeepSeek V4 Flash 0423 costs 7.4x less per output token ($0.28 vs $2.08 per million). Updated October 22, 2026; 35 benchmarks have a result for both.

Replace DeepSeek V4 Flash 0423 Replace Qwen3.5-122B-A10B
DeepSeek V4 Flash 0423DeepSeek
Coding
No data
Overall
No data
Output $/M
$0.28
32
Qwen3.5-122B-A10BQwen
Coding
No data
Overall
No data
Output $/M
$2.08
3
vs boards won of 35 shared

DeepSeek V4 Flash 0423 or Qwen3.5-122B-A10B: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick DeepSeek V4 Flash 0423 for output tokens 7.4x cheaper ($0.28 vs $2.08 per million) and a larger context window (1.05M against 262K tokens).

Model ADeepSeek V4 Flash 0423DeepSeekNot benchmarked1 independent benchmarkNo cost per solved taskModel BQwen3.5-122B-A10BQwenNot benchmarked1 independent benchmarkNo cost per solved task
Shared results
35
DeepSeek V4 Flash 0423 only
14
Qwen3.5-122B-A10B only
16
Like-for-like categories
6 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 0423 not benchmarked, Qwen3.5-122B-A10B not benchmarked.
Widest category
Coding, 20.0 points apart on average over 6 shared benchmarks.
Widest single gap
LMArena WebDev: React: DeepSeek V4 Flash 0423 1585 against Qwen3.5-122B-A10B 1353, 38.7 points apart on a 0 to 100 scale.
Output price
DeepSeek V4 Flash 0423 $0.28 against Qwen3.5-122B-A10B $2.08 per million output tokens, 7.4x apart.
Context window
DeepSeek V4 Flash 0423 takes 1.05M tokens, Qwen3.5-122B-A10B 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 0423BarsQwen3.5-122B-A10BTies
Coding60
Intelligence10
Reasoning30
Math11
Knowledge40
General172
All shared boards323
CodingLike-for-likeSix of these boards feed the Vibe Coding Index60
Coding benchmarks for DeepSeek V4 Flash 0423 and Qwen3.5-122B-A10B
BenchmarkDeepSeek V4 Flash 0423Qwen3.5-122B-A10BLeader
LMArena WebDev15821361DeepSeek V4 Flash 0423
AA Coding Index52.043.3DeepSeek V4 Flash 0423
SciCodeNot measured39.7%Only Qwen3.5-122B-A10B measured
Terminal-Bench Hard (Artificial Analysis run)Not measured31.1%Only Qwen3.5-122B-A10B measured
WeirdML45.6%Not measuredOnly DeepSeek V4 Flash 0423 measured
ALE-Bench678.2Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena Text: coding14571436DeepSeek V4 Flash 0423
LMArena Text: software and IT14531436DeepSeek V4 Flash 0423
LMArena WebDev: React15851353DeepSeek V4 Flash 0423
LMArena WebDev: HTML15581351DeepSeek V4 Flash 0423
Neither model has a result on the other 29 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for DeepSeek V4 Flash 0423 and Qwen3.5-122B-A10B
BenchmarkDeepSeek V4 Flash 0423Qwen3.5-122B-A10BLeader
AA Intelligence Index24.417.7DeepSeek V4 Flash 0423
Epoch Capabilities Index146.1Not measuredOnly DeepSeek V4 Flash 0423 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Agentic work benchmarks for DeepSeek V4 Flash 0423 and Qwen3.5-122B-A10B
BenchmarkDeepSeek V4 Flash 0423Qwen3.5-122B-A10BLeader
AA Agentic Index26.3Not measuredOnly DeepSeek V4 Flash 0423 measured
τ²-Bench TelecomNot measured93.6%Only Qwen3.5-122B-A10B measured
Neither model has a result on the other 39 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
Reasoning benchmarks for DeepSeek V4 Flash 0423 and Qwen3.5-122B-A10B
BenchmarkDeepSeek V4 Flash 0423Qwen3.5-122B-A10BLeader
GPQA Diamond (Artificial Analysis run)Not measured85.7%Only Qwen3.5-122B-A10B measured
Humanity's Last Exam (Artificial Analysis run)Not measured25.2%Only Qwen3.5-122B-A10B measured
SimpleBench46.3%Not measuredOnly DeepSeek V4 Flash 0423 measured
Mystery game puzzlesNot measured17.0%Only Qwen3.5-122B-A10B measured
LMArena Text: hard prompts14441421DeepSeek V4 Flash 0423
LMArena Text: expert14411431DeepSeek V4 Flash 0423
LMArena Text: hard prompts in English14491431DeepSeek V4 Flash 0423
LMArena Vision: diagramsNot measured1249Only Qwen3.5-122B-A10B measured
LMArena Vision: homeworkNot measured1261Only Qwen3.5-122B-A10B measured
Kagi LLM Benchmark52.2%Not measuredOnly DeepSeek V4 Flash 0423 measured
Neither model has a result on the other 12 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index11
Math benchmarks for DeepSeek V4 Flash 0423 and Qwen3.5-122B-A10B
BenchmarkDeepSeek V4 Flash 0423Qwen3.5-122B-A10BLeader
LMArena Text: math14261431Qwen3.5-122B-A10B
LMArena Text: mathematical work14321431DeepSeek V4 Flash 0423
Neither model has a result on the other 11 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for DeepSeek V4 Flash 0423 and Qwen3.5-122B-A10B
BenchmarkDeepSeek V4 Flash 0423Qwen3.5-122B-A10BLeader
LMArena Text: science14461432DeepSeek V4 Flash 0423
LMArena Text: medicine and healthcare14481423DeepSeek V4 Flash 0423
LMArena Text: legal and government14391422DeepSeek V4 Flash 0423
LMArena Text: business and finance14251414DeepSeek V4 Flash 0423
Neither model has a result on the other 14 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for DeepSeek V4 Flash 0423 and Qwen3.5-122B-A10B
BenchmarkDeepSeek V4 Flash 0423Qwen3.5-122B-A10BLeader
Design Arena: websites1207Not measuredOnly DeepSeek V4 Flash 0423 measured
Design Arena: UI components1162Not measuredOnly DeepSeek V4 Flash 0423 measured
Design Arena: game dev1196Not measuredOnly DeepSeek V4 Flash 0423 measured
Design Arena: data viz1127Not measuredOnly DeepSeek V4 Flash 0423 measured
Design Arena: 3D1188Not measuredOnly DeepSeek V4 Flash 0423 measured
Design Arena: all code categories1205Not measuredOnly DeepSeek V4 Flash 0423 measured
Design Arena: SVG1155Not measuredOnly DeepSeek V4 Flash 0423 measured
Design Arena: ASCII art1109Not measuredOnly DeepSeek V4 Flash 0423 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index172
General benchmarks for DeepSeek V4 Flash 0423 and Qwen3.5-122B-A10B
BenchmarkDeepSeek V4 Flash 0423Qwen3.5-122B-A10BLeader
IFBenchNot measured75.7%Only Qwen3.5-122B-A10B measured
Long context reasoning (AA-LCR)Not measured76.3%Only Qwen3.5-122B-A10B measured
DTBench86.4%84.3%DeepSeek V4 Flash 0423
LMCA35.9%32.2%DeepSeek V4 Flash 0423
LMArena Text14321417DeepSeek V4 Flash 0423
LMArena Text: instruction following14211399DeepSeek V4 Flash 0423
LMArena Text: creative writing14031368DeepSeek V4 Flash 0423
LMArena VisionNot measured1244Only Qwen3.5-122B-A10B measured
LMArena Text: English14411428DeepSeek V4 Flash 0423
LMArena Text: non-English14191401DeepSeek V4 Flash 0423
LMArena Text: Chinese14631463DeepSeek V4 Flash 0423
LMArena Text: German14191425Qwen3.5-122B-A10B
LMArena Text: Japanese13891367DeepSeek V4 Flash 0423
LMArena Text: Korean13831353DeepSeek V4 Flash 0423
LMArena Text: French14391443Qwen3.5-122B-A10B
LMArena Text: Spanish14361425DeepSeek V4 Flash 0423
LMArena Text: Russian14271400DeepSeek V4 Flash 0423
LMArena Text: Polish14361398DeepSeek V4 Flash 0423
LMArena Text: multi-turn14491416DeepSeek V4 Flash 0423
LMArena Text: longer queries14341410DeepSeek V4 Flash 0423
LMArena Text: writing and language14101387DeepSeek V4 Flash 0423
LMArena Text: entertainment and media14001366DeepSeek V4 Flash 0423
LMArena Vision: EnglishNot measured1249Only Qwen3.5-122B-A10B measured
LMArena Vision: ChineseNot measured1301Only Qwen3.5-122B-A10B measured
LMArena Vision: reading textNot measured1251Only Qwen3.5-122B-A10B measured
LMArena Vision: humorNot measured1243Only Qwen3.5-122B-A10B measured
LMArena Vision: creative writingNot measured1220Only Qwen3.5-122B-A10B 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
Image generation benchmarks for DeepSeek V4 Flash 0423 and Qwen3.5-122B-A10B
BenchmarkDeepSeek V4 Flash 0423Qwen3.5-122B-A10BLeader
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 0423$0.0003Fits in one request
Qwen3.5-122B-A10B$0.0013Fits in one request

DeepSeek V4 Flash 0423 costs less

Repository review

50K input + 3K output tokens

DeepSeek V4 Flash 0423$0.0078Fits in one request
Qwen3.5-122B-A10B$0.019Fits in one request

DeepSeek V4 Flash 0423 costs less

Agent loop

200K input + 10K output tokens

DeepSeek V4 Flash 0423$0.031Fits in one request
Qwen3.5-122B-A10B$0.073Fits in one request

DeepSeek V4 Flash 0423 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 0423 and Qwen3.5-122B-A10B
SpecificationDeepSeek V4 Flash 0423Qwen3.5-122B-A10B
MakerDeepSeekQwen
WeightsOpen weightsOpen weights
ReleasedApril 24, 2026February 25, 2026
Context window1.05M262K
Input $/Mtok$0.14$0.26
Output $/Mtok$0.28$2.08
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it11
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V4 Flash 0423 better than Qwen3.5-122B-A10B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick DeepSeek V4 Flash 0423 for output tokens 7.4x cheaper ($0.28 vs $2.08 per million) and a larger context window (1.05M against 262K tokens).

Which is cheaper, DeepSeek V4 Flash 0423 or Qwen3.5-122B-A10B?

DeepSeek V4 Flash 0423 costs $0.14 per million input tokens and $0.28 per million output tokens; Qwen3.5-122B-A10B costs $0.26 and $2.08. Cost per solved task is known for neither of them.

Which has the bigger context window, DeepSeek V4 Flash 0423 or Qwen3.5-122B-A10B?

DeepSeek V4 Flash 0423, with 1.05M tokens against 262K.

How many benchmarks is the DeepSeek V4 Flash 0423 vs Qwen3.5-122B-A10B comparison based on?

35 benchmarks have a result for both models as of October 22, 2026. DeepSeek V4 Flash 0423's coding index rests on 1 independent benchmark and Qwen3.5-122B-A10B's on 1. Where only one model has a result, the page says so instead of naming a winner.

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