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DeepSeek V4 Flash 0423 vs Phi 4

Updated October 21, 2026. 29 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace DeepSeek V4 Flash 0423 Replace Phi 4
DeepSeek V4 Flash 0423DeepSeek
Coding
No data
Overall
24.4
Output $/M
$0.28
29
Phi 4Microsoft
Coding
No data
Overall
5.9
Output $/M
$0.14
0
vs boards won of 29 shared

Decision reading

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

DeepSeek V4 Flash 0423 has the edge where the context window is larger, 1.05M against 16K tokens.

Model ADeepSeek V4 Flash 0423DeepSeekNot benchmarked1 independent benchmarkNo cost per solved taskModel BPhi 4MicrosoftNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
29
DeepSeek V4 Flash 0423 only
19
Phi 4 only
16
Like-for-like categories
6 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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, Phi 4 not benchmarked.
Widest category
Knowledge, 37.9 points apart on average over 4 shared benchmarks.
Widest single gap
LMArena Text: Chinese: DeepSeek V4 Flash 0423 1463 against Phi 4 1212, 41.9 points apart on a 0 to 100 scale.
Output price
DeepSeek V4 Flash 0423 $0.28 against Phi 4 $0.14 per million output tokens, 2.0x apart.
Context window
DeepSeek V4 Flash 0423 takes 1.05M tokens, Phi 4 16K.

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 0423BarsPhi 4Ties
Coding20
Intelligence20
Reasoning30
Math20
Knowledge40
General160
All shared boards290
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for DeepSeek V4 Flash 0423 and Phi 4
BenchmarkDeepSeek V4 Flash 0423Phi 4Leader
LMArena WebDev1582Not measuredOnly DeepSeek V4 Flash 0423 measured
AA Coding Index52.0Not measuredOnly DeepSeek V4 Flash 0423 measured
LiveCodeBench (Artificial Analysis run)Not measured23.1%Only Phi 4 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured3.8%Only Phi 4 measured
WeirdML45.6%Not measuredOnly DeepSeek V4 Flash 0423 measured
ALE-Bench678.2Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena Text: coding14571231DeepSeek V4 Flash 0423
LMArena Text: software and IT14531228DeepSeek V4 Flash 0423
LMArena WebDev: React1585Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena WebDev: HTML1558Not measuredOnly DeepSeek V4 Flash 0423 measured
Neither model has a result on the other 28 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for DeepSeek V4 Flash 0423 and Phi 4
BenchmarkDeepSeek V4 Flash 0423Phi 4Leader
AA Intelligence Index24.45.9DeepSeek V4 Flash 0423
Epoch Capabilities Index146.1130.5DeepSeek V4 Flash 0423
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Agentic work benchmarks for DeepSeek V4 Flash 0423 and Phi 4
BenchmarkDeepSeek V4 Flash 0423Phi 4Leader
AA Agentic Index26.3Not measuredOnly DeepSeek V4 Flash 0423 measured
τ²-Bench TelecomNot measured0.0%Only Phi 4 measured
BALROGNot measured11.6%Only Phi 4 measured
Neither model has a result on the other 36 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
Reasoning benchmarks for DeepSeek V4 Flash 0423 and Phi 4
BenchmarkDeepSeek V4 Flash 0423Phi 4Leader
GPQA Diamond (Artificial Analysis run)Not measured57.5%Only Phi 4 measured
Humanity's Last Exam (Artificial Analysis run)Not measured3.8%Only Phi 4 measured
GPQA Diamond (Epoch AI run)Not measured56.1%Only Phi 4 measured
SimpleBench46.3%Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena Text: hard prompts14441220DeepSeek V4 Flash 0423
LMArena Text: expert14411203DeepSeek V4 Flash 0423
LMArena Text: hard prompts in English14491230DeepSeek V4 Flash 0423
Neither model has a result on the other 14 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for DeepSeek V4 Flash 0423 and Phi 4
BenchmarkDeepSeek V4 Flash 0423Phi 4Leader
AA Math IndexNot measured18.0Only Phi 4 measured
AIME 2025 (Artificial Analysis run)Not measured18.0%Only Phi 4 measured
OTIS Mock AIMENot measured13.8%Only Phi 4 measured
MATH level 5Not measured64.9%Only Phi 4 measured
LMArena Text: math14261246DeepSeek V4 Flash 0423
LMArena Text: mathematical work14321254DeepSeek V4 Flash 0423
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for DeepSeek V4 Flash 0423 and Phi 4
BenchmarkDeepSeek V4 Flash 0423Phi 4Leader
MMLU Pro (Artificial Analysis run)Not measured71.4%Only Phi 4 measured
MMLUNot measured84.8%Only Phi 4 measured
LMArena Text: science14461206DeepSeek V4 Flash 0423
LMArena Text: medicine and healthcare14481202DeepSeek V4 Flash 0423
LMArena Text: legal and government14391241DeepSeek V4 Flash 0423
LMArena Text: business and finance14251199DeepSeek V4 Flash 0423
Neither model has a result on the other 11 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 Phi 4
BenchmarkDeepSeek V4 Flash 0423Phi 4Leader
Design Arena: websites1208Not measuredOnly DeepSeek V4 Flash 0423 measured
Design Arena: UI components1165Not measuredOnly DeepSeek V4 Flash 0423 measured
Design Arena: game dev1197Not measuredOnly DeepSeek V4 Flash 0423 measured
Design Arena: data viz1127Not measuredOnly DeepSeek V4 Flash 0423 measured
Design Arena: 3D1189Not 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 index160
General benchmarks for DeepSeek V4 Flash 0423 and Phi 4
BenchmarkDeepSeek V4 Flash 0423Phi 4Leader
IFBenchNot measured23.5%Only Phi 4 measured
Long context reasoning (AA-LCR)Not measured0.0%Only Phi 4 measured
DTBench86.4%Not measuredOnly DeepSeek V4 Flash 0423 measured
LMCA35.9%Not measuredOnly DeepSeek V4 Flash 0423 measured
Creative writing (Lech Mazur)Not measured62.6%Only Phi 4 measured
LMArena Text14321217DeepSeek V4 Flash 0423
LMArena Text: instruction following14211201DeepSeek V4 Flash 0423
LMArena Text: creative writing14031181DeepSeek V4 Flash 0423
LMArena Text: English14411231DeepSeek V4 Flash 0423
LMArena Text: non-English14191197DeepSeek V4 Flash 0423
LMArena Text: Chinese14631212DeepSeek V4 Flash 0423
LMArena Text: German14191222DeepSeek V4 Flash 0423
LMArena Text: Japanese13891158DeepSeek V4 Flash 0423
LMArena Text: Korean13831151DeepSeek V4 Flash 0423
LMArena Text: French14391224DeepSeek V4 Flash 0423
LMArena Text: Spanish14361234DeepSeek V4 Flash 0423
LMArena Text: Russian14271209DeepSeek V4 Flash 0423
LMArena Text: Polish1436Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena Text: multi-turn14491206DeepSeek V4 Flash 0423
LMArena Text: longer queries14341217DeepSeek V4 Flash 0423
LMArena Text: writing and language14101198DeepSeek V4 Flash 0423
LMArena Text: entertainment and media14001162DeepSeek V4 Flash 0423
Neither model has a result on the other 24 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 Phi 4
BenchmarkDeepSeek V4 Flash 0423Phi 4Leader
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
Phi 4$0.0001Fits in one request

Phi 4 costs less

Repository review

50K input + 3K output tokens

DeepSeek V4 Flash 0423$0.0078Fits in one request
Phi 4$0.0039Exceeds the context window

Phi 4 costs less

Agent loop

200K input + 10K output tokens

DeepSeek V4 Flash 0423$0.031Fits in one request
Phi 4$0.015Exceeds the context window

Phi 4 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 Phi 4
SpecificationDeepSeek V4 Flash 0423Microsoft Phi 4
MakerDeepSeekMicrosoft
WeightsOpen weightsOpen weights
ReleasedApril 24, 2026January 10, 2025
Context window1.05M16K
Input $/Mtok$0.14$0.07
Output $/Mtok$0.28$0.14
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V4 Flash 0423 better than Phi 4 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. DeepSeek V4 Flash 0423 has the edge where the context window is larger, 1.05M against 16K tokens.

Which is cheaper, DeepSeek V4 Flash 0423 or Phi 4?

DeepSeek V4 Flash 0423 costs $0.14 per million input tokens and $0.28 per million output tokens; Phi 4 costs $0.07 and $0.14. Cost per solved task is known for neither of them.

Which has the bigger context window, DeepSeek V4 Flash 0423 or Phi 4?

DeepSeek V4 Flash 0423, with 1.05M tokens against 16K.

How many benchmarks is the DeepSeek V4 Flash 0423 vs Phi 4 comparison based on?

29 benchmarks have a result for both models as of October 21, 2026. DeepSeek V4 Flash 0423's coding index rests on 1 independent benchmark and Phi 4's on 0. Where only one model has a result, the page says so instead of naming a winner.

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