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DeepSeek V4 Flash 0423 vs Gemma 4 26B A4B

DeepSeek V4 Flash 0423 leads Gemma 4 26B A4B on the Artificial Analysis Intelligence Index, 24.4 to 16.7, and DeepSeek V4 Flash 0423 costs 2.1x less per output token ($0.28 vs $0.60 per million). Updated October 22, 2026; 35 benchmarks have a result for both.

Replace DeepSeek V4 Flash 0423 Replace Gemma 4 26B A4B
DeepSeek V4 Flash 0423DeepSeek
Coding
No data
Overall
No data
Output $/M
$0.28
21
Gemma 4 26B A4BGoogle
Coding
No data
Overall
54.7
Output $/M
$0.60
14
vs boards won of 35 shared

DeepSeek V4 Flash 0423 or Gemma 4 26B A4B: 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 2.1x cheaper ($0.28 vs $0.60 per million) and a larger context window (1.05M against 262K tokens).

Model ADeepSeek V4 Flash 0423DeepSeekNot benchmarked1 independent benchmarkNo cost per solved taskModel BGemma 4 26B A4BGoogleNot benchmarked1 independent benchmarkNo cost per solved task
Shared results
35
DeepSeek V4 Flash 0423 only
14
Gemma 4 26B A4B only
20
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 0423 not benchmarked, Gemma 4 26B A4B not benchmarked.
Widest category
Agentic work, 23.4 points apart on average over 1 shared benchmark.
Widest single gap
LMArena WebDev: React: DeepSeek V4 Flash 0423 1585 against Gemma 4 26B A4B 1351, 39.0 points apart on a 0 to 100 scale.
Output price
DeepSeek V4 Flash 0423 $0.28 against Gemma 4 26B A4B $0.60 per million output tokens, 2.1x apart.
Context window
DeepSeek V4 Flash 0423 takes 1.05M tokens, Gemma 4 26B A4B 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 0423BarsGemma 4 26B A4BTies
Coding62
Intelligence20
Agentic work10
Reasoning21
Math02
Knowledge22
General87
All shared boards2114
CodingLike-for-likeSix of these boards feed the Vibe Coding Index62
Coding benchmarks for DeepSeek V4 Flash 0423 and Gemma 4 26B A4B
BenchmarkDeepSeek V4 Flash 0423Gemma 4 26B A4BLeader
LMArena WebDev15821360DeepSeek V4 Flash 0423
AA Coding Index52.039.3DeepSeek V4 Flash 0423
SciCodeNot measured40.0%Only Gemma 4 26B A4B measured
Terminal-Bench Hard (Artificial Analysis run)Not measured25.0%Only Gemma 4 26B A4B measured
WeirdML45.6%35.2%DeepSeek V4 Flash 0423
ALE-Bench678.2927.2Gemma 4 26B A4B
LMArena Text: coding14571446DeepSeek V4 Flash 0423
LMArena Text: software and IT14531454Gemma 4 26B A4B
LMArena WebDev: React15851351DeepSeek V4 Flash 0423
LMArena WebDev: HTML15581362DeepSeek 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 index20
Intelligence benchmarks for DeepSeek V4 Flash 0423 and Gemma 4 26B A4B
BenchmarkDeepSeek V4 Flash 0423Gemma 4 26B A4BLeader
AA Intelligence Index24.416.7DeepSeek V4 Flash 0423
Epoch Capabilities Index146.1141.9DeepSeek V4 Flash 0423
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for DeepSeek V4 Flash 0423 and Gemma 4 26B A4B
BenchmarkDeepSeek V4 Flash 0423Gemma 4 26B A4BLeader
AA Agentic Index26.32.9DeepSeek V4 Flash 0423
τ²-Bench TelecomNot measured43.6%Only Gemma 4 26B A4B measured
Neither model has a result on the other 39 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index21
Reasoning benchmarks for DeepSeek V4 Flash 0423 and Gemma 4 26B A4B
BenchmarkDeepSeek V4 Flash 0423Gemma 4 26B A4BLeader
GPQA Diamond (Artificial Analysis run)Not measured79.2%Only Gemma 4 26B A4B measured
Humanity's Last Exam (Artificial Analysis run)Not measured19.3%Only Gemma 4 26B A4B measured
GPQA Diamond (Epoch AI run)Not measured73.2%Only Gemma 4 26B A4B measured
SimpleBench46.3%Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena Text: hard prompts14441438DeepSeek V4 Flash 0423
LMArena Text: expert14411447Gemma 4 26B A4B
LMArena Text: hard prompts in English14491448DeepSeek V4 Flash 0423
LMArena Vision: diagramsNot measured1264Only Gemma 4 26B A4B measured
LMArena Vision: homeworkNot measured1293Only Gemma 4 26B A4B 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 index02
Math benchmarks for DeepSeek V4 Flash 0423 and Gemma 4 26B A4B
BenchmarkDeepSeek V4 Flash 0423Gemma 4 26B A4BLeader
OTIS Mock AIMENot measured82.2%Only Gemma 4 26B A4B measured
LMArena Text: math14261470Gemma 4 26B A4B
LMArena Text: mathematical work14321475Gemma 4 26B A4B
Neither model has a result on the other 10 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index22
Knowledge benchmarks for DeepSeek V4 Flash 0423 and Gemma 4 26B A4B
BenchmarkDeepSeek V4 Flash 0423Gemma 4 26B A4BLeader
LMArena Text: science14461446DeepSeek V4 Flash 0423
LMArena Text: medicine and healthcare14481428DeepSeek V4 Flash 0423
LMArena Text: legal and government14391457Gemma 4 26B A4B
LMArena Text: business and finance14251429Gemma 4 26B A4B
FACTS Benchmark SuiteNot measured42.7%Only Gemma 4 26B A4B measured
Neither model has a result on the other 13 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 Gemma 4 26B A4B
BenchmarkDeepSeek V4 Flash 0423Gemma 4 26B A4BLeader
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 index87
General benchmarks for DeepSeek V4 Flash 0423 and Gemma 4 26B A4B
BenchmarkDeepSeek V4 Flash 0423Gemma 4 26B A4BLeader
IFBenchNot measured72.4%Only Gemma 4 26B A4B measured
Long context reasoning (AA-LCR)Not measured65.7%Only Gemma 4 26B A4B measured
DTBench86.4%74.9%DeepSeek V4 Flash 0423
LMCA35.9%29.7%DeepSeek V4 Flash 0423
LMArena Text14321434Gemma 4 26B A4B
LMArena Text: instruction following14211420DeepSeek V4 Flash 0423
LMArena Text: creative writing14031400DeepSeek V4 Flash 0423
LMArena VisionNot measured1260Only Gemma 4 26B A4B measured
LMArena Text: English14411444Gemma 4 26B A4B
LMArena Text: non-English14191421Gemma 4 26B A4B
LMArena Text: Chinese14631495Gemma 4 26B A4B
LMArena Text: German1419Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena Text: Japanese1389Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena Text: Korean1383Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena Text: French14391460Gemma 4 26B A4B
LMArena Text: Spanish14361415DeepSeek V4 Flash 0423
LMArena Text: Russian14271434Gemma 4 26B A4B
LMArena Text: Polish1436Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena Text: multi-turn14491441DeepSeek V4 Flash 0423
LMArena Text: longer queries14341427DeepSeek V4 Flash 0423
LMArena Text: writing and language14101405DeepSeek V4 Flash 0423
LMArena Text: entertainment and media14001403Gemma 4 26B A4B
LMArena Vision: EnglishNot measured1256Only Gemma 4 26B A4B measured
LMArena Vision: ChineseNot measured1312Only Gemma 4 26B A4B measured
LMArena Vision: reading textNot measured1268Only Gemma 4 26B A4B measured
LMArena Vision: humorNot measured1272Only Gemma 4 26B A4B measured
LMArena Vision: captioningNot measured1297Only Gemma 4 26B A4B measured
LMArena Vision: recognizing thingsNot measured1191Only Gemma 4 26B A4B measured
LMArena Vision: creative writingNot measured1256Only Gemma 4 26B A4B measured
Neither model has a result on the other 17 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 Gemma 4 26B A4B
BenchmarkDeepSeek V4 Flash 0423Gemma 4 26B A4BLeader
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
Gemma 4 26B A4B$0.0004Fits 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
Gemma 4 26B A4B$0.0093Fits 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
Gemma 4 26B A4B$0.036Fits 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 Gemma 4 26B A4B
SpecificationDeepSeek V4 Flash 0423Google Gemma 4 26B A4B
MakerDeepSeekGoogle
WeightsOpen weightsOpen weights
ReleasedApril 24, 2026April 3, 2026
Context window1.05M262K
Input $/Mtok$0.14$0.15
Output $/Mtok$0.28$0.60
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 Gemma 4 26B A4B 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 2.1x cheaper ($0.28 vs $0.60 per million) and a larger context window (1.05M against 262K tokens).

Which is cheaper, DeepSeek V4 Flash 0423 or Gemma 4 26B A4B?

DeepSeek V4 Flash 0423 costs $0.14 per million input tokens and $0.28 per million output tokens; Gemma 4 26B A4B costs $0.15 and $0.60. Cost per solved task is known for neither of them.

Which has the bigger context window, DeepSeek V4 Flash 0423 or Gemma 4 26B A4B?

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

How many benchmarks is the DeepSeek V4 Flash 0423 vs Gemma 4 26B A4B 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 Gemma 4 26B A4B's on 1. Where only one model has a result, the page says so instead of naming a winner.

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