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DeepSeek V4 Pro 0423 vs Gemini 4 Argon

Updated October 21, 2026. 60 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace DeepSeek V4 Pro 0423 Replace Gemini 4 Argon
DeepSeek V4 Pro 0423DeepSeek
Coding
35.3
Overall
30.4
Output $/M
$1.9105
0
Gemini 4 ArgonGoogle
Coding
80.5
Overall
52.6
Output $/M
$10.00
60
vs boards won of 60 shared

Decision reading

Pick Gemini 4 Argon for coding: it scores 80.5 on the Vibe Coding Index against 35.3 for DeepSeek V4 Pro 0423.

Pick DeepSeek V4 Pro 0423 when output tokens cost 5.2x less.

Model ADeepSeek V4 Pro 0423DeepSeek35.3/1001 independent benchmark$0.57 per solved taskModel BGemini 4 ArgonGoogle80.5/1002 independent benchmarksNo cost per solved task
Shared results
60
DeepSeek V4 Pro 0423 only
23
Gemini 4 Argon only
32
Like-for-like categories
8 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 Pro 0423 35.3 from 1 benchmark, Gemini 4 Argon 80.5 from 2 benchmarks.
Widest category
Math, 39.2 points apart on average over 6 shared benchmarks.
Widest single gap
ProofBench: DeepSeek V4 Pro 0423 16.0% against Gemini 4 Argon 99.0%, 83.0 points apart on a 0 to 100 scale.
Output price
DeepSeek V4 Pro 0423 $1.9105 against Gemini 4 Argon $10.00 per million output tokens, 5.2x apart.
Context window
Both take 1.05M tokens.

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 Pro 0423BarsGemini 4 ArgonTies
Coding012
Intelligence02
Agentic work05
Reasoning06
Math06
Knowledge07
Web design06
General016
All shared boards060
CodingLike-for-likeFour of these boards feed the Vibe Coding Index012
Coding benchmarks for DeepSeek V4 Pro 0423 and Gemini 4 Argon
BenchmarkDeepSeek V4 Pro 0423Gemini 4 ArgonLeader
LiveBench codingNot measured89.7%Only Gemini 4 Argon measured
LMArena WebDev14471678Gemini 4 Argon
AA Coding Index59.4Not measuredOnly DeepSeek V4 Pro 0423 measured
LiveCodeBench (Vals AI)87.5%Not measuredOnly DeepSeek V4 Pro 0423 measured
SWE-bench Verified (Vals AI)77.4%Not measuredOnly DeepSeek V4 Pro 0423 measured
Terminal-Bench 4 (Vals AI)11.1%57.6%Gemini 4 Argon
Vibe Code Bench (Vals AI)49.9%91.9%Gemini 4 Argon
Code migration (Vals AI)26.2%68.2%Gemini 4 Argon
ProgramBench (Vals AI)0.0%2.5%Gemini 4 Argon
IOI (Vals AI)Not measured100.0%Only Gemini 4 Argon measured
Terminal-Bench 2.1 (Vals AI)50.2%57.7%Gemini 4 Argon
SWE-bench Multimodal (Vals AI)Not measured56.0%Only Gemini 4 Argon measured
Vibe Code Bench 1-100 (Vals AI)Not measured21.2%Only Gemini 4 Argon measured
SkillsBench (Vals AI)51.3%Not measuredOnly DeepSeek V4 Pro 0423 measured
CyberBench (Vals AI)Not measured77.9%Only Gemini 4 Argon measured
SciCodeNot measured61.8%Only Gemini 4 Argon measured
FrontierCode17.6%47.5%Gemini 4 Argon
FrontierSWENot measured55.0%Only Gemini 4 Argon measured
WeirdML48.9%Not measuredOnly DeepSeek V4 Pro 0423 measured
ALE-Bench1006.12100.1Gemini 4 Argon
LMArena Text: coding14701546Gemini 4 Argon
LMArena Text: software and IT14691556Gemini 4 Argon
LMArena WebDev: React14411692Gemini 4 Argon
LMArena WebDev: HTML14351643Gemini 4 Argon
Neither model has a result on the other 14 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for DeepSeek V4 Pro 0423 and Gemini 4 Argon
BenchmarkDeepSeek V4 Pro 0423Gemini 4 ArgonLeader
AA Intelligence Index30.452.6Gemini 4 Argon
Epoch Capabilities Index149.1166.4Gemini 4 Argon
Agentic workLike-for-likePublic boards, shown as published, kept out of the index05
Agentic work benchmarks for DeepSeek V4 Pro 0423 and Gemini 4 Argon
BenchmarkDeepSeek V4 Pro 0423Gemini 4 ArgonLeader
AA Agentic Index26.3Not measuredOnly DeepSeek V4 Pro 0423 measured
Design Arena: agents building web apps1000Not measuredOnly DeepSeek V4 Pro 0423 measured
Design Arena: agents building full-stack apps948Not measuredOnly DeepSeek V4 Pro 0423 measured
Design Arena: agents building Godot games1059Not measuredOnly DeepSeek V4 Pro 0423 measured
Design Arena: spreadsheetsNot measured1151Only Gemini 4 Argon measured
LiveBench researchNot measured83.1%Only Gemini 4 Argon measured
LiveBench browserNot measured92.0%Only Gemini 4 Argon measured
LiveBench long agenticNot measured69.9%Only Gemini 4 Argon measured
SREBench (Vals AI)Not measured44.3%Only Gemini 4 Argon measured
Finance Agent (Vals AI)44.1%65.4%Gemini 4 Argon
Tax Agent Bench (Vals AI)25.2%44.6%Gemini 4 Argon
Legal Research Bench (Vals AI)23.1%54.8%Gemini 4 Argon
Harvey's Legal Agent Benchmark (Vals AI)Not measured27.1%Only Gemini 4 Argon measured
Excel Modeling Benchmark (Vals AI)51.6%75.2%Gemini 4 Argon
BioMysteryBench (Vals AI)Not measured76.3%Only Gemini 4 Argon measured
Terminal-Bench-Science (Vals AI)Not measured44.3%Only Gemini 4 Argon measured
Vals Science IndexNot measured55.4%Only Gemini 4 Argon measured
Time Horizon Index (Vals AI)Not measured52.5%Only Gemini 4 Argon measured
CUA-bench (Vals AI)Not measured4.8%Only Gemini 4 Argon measured
Robo-bench (Vals AI)Not measured0.8%Only Gemini 4 Argon measured
APEX-AgentsNot measured82.4%Only Gemini 4 Argon measured
Vending-Bench 2$3,285$13,718Gemini 4 Argon
Neither model has a result on the other 17 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index06
Reasoning benchmarks for DeepSeek V4 Pro 0423 and Gemini 4 Argon
BenchmarkDeepSeek V4 Pro 0423Gemini 4 ArgonLeader
GPQA Diamond89.4%Not measuredOnly DeepSeek V4 Pro 0423 measured
LiveBench reasoningNot measured95.1%Only Gemini 4 Argon measured
MysteryMechanism (Vals AI)Not measured45.5%Only Gemini 4 Argon measured
Humanity's Last Exam (Artificial Analysis run)Not measured57.1%Only Gemini 4 Argon measured
GPQA Diamond (Epoch AI run)90.9%96.4%Gemini 4 Argon
ARC-AGINot measured98.5%Only Gemini 4 Argon measured
ARC-AGI-2Not measured91.3%Only Gemini 4 Argon measured
Chess puzzles19.0%59.0%Gemini 4 Argon
Mystery game puzzles17.0%64.0%Gemini 4 Argon
EBR-benchNot measured64.8%Only Gemini 4 Argon measured
LMArena Text: hard prompts14611546Gemini 4 Argon
LMArena Text: expert14631550Gemini 4 Argon
LMArena Text: hard prompts in English14661548Gemini 4 Argon
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index06
Math benchmarks for DeepSeek V4 Pro 0423 and Gemini 4 Argon
BenchmarkDeepSeek V4 Pro 0423Gemini 4 ArgonLeader
OTIS Mock AIME96.7%100.0%Gemini 4 Argon
FrontierMath, tiers 1 to 345.3%86.0%Gemini 4 Argon
FrontierMath, tier 42.4%78.0%Gemini 4 Argon
ProofBench16.0%99.0%Gemini 4 Argon
LMArena Text: math14431536Gemini 4 Argon
LMArena Text: mathematical work14551557Gemini 4 Argon
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index07
Knowledge benchmarks for DeepSeek V4 Pro 0423 and Gemini 4 Argon
BenchmarkDeepSeek V4 Pro 0423Gemini 4 ArgonLeader
MMLU Pro87.3%Not measuredOnly DeepSeek V4 Pro 0423 measured
LegalBench (Vals AI)80.3%88.3%Gemini 4 Argon
CaseLaw (Vals AI)59.4%Not measuredOnly DeepSeek V4 Pro 0423 measured
CorpFin (Vals AI)61.4%Not measuredOnly DeepSeek V4 Pro 0423 measured
TaxEval (Vals AI)72.1%Not measuredOnly DeepSeek V4 Pro 0423 measured
MedCode (Vals AI)40.5%58.8%Gemini 4 Argon
SimpleQA Verified47.0%76.0%Gemini 4 Argon
LMArena Text: science14701548Gemini 4 Argon
LMArena Text: medicine and healthcare14661555Gemini 4 Argon
LMArena Text: legal and government14641548Gemini 4 Argon
LMArena Text: business and finance14431525Gemini 4 Argon
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index06
Web design benchmarks for DeepSeek V4 Pro 0423 and Gemini 4 Argon
BenchmarkDeepSeek V4 Pro 0423Gemini 4 ArgonLeader
Design Arena: websites12351315Gemini 4 Argon
Design Arena: UI components12211333Gemini 4 Argon
Design Arena: game dev12291377Gemini 4 Argon
Design Arena: data viz12031334Gemini 4 Argon
Design Arena: 3D12541389Gemini 4 Argon
Design Arena: all code categories12401328Gemini 4 Argon
Design Arena: SVG1139Not measuredOnly DeepSeek V4 Pro 0423 measured
Design Arena: ASCII art1148Not measuredOnly DeepSeek V4 Pro 0423 measured
LiveBench designNot measured73.7%Only Gemini 4 Argon measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index016
General benchmarks for DeepSeek V4 Pro 0423 and Gemini 4 Argon
BenchmarkDeepSeek V4 Pro 0423Gemini 4 ArgonLeader
Vals IndexNot measured69.2%Only Gemini 4 Argon measured
LiveBench data analysisNot measured85.2%Only Gemini 4 Argon measured
Public Benefits Bench (Vals AI)62.9%69.8%Gemini 4 Argon
SAGE (Vals AI)Not measured53.6%Only Gemini 4 Argon measured
MedScribe (Vals AI)75.1%87.4%Gemini 4 Argon
Long context reasoning (AA-LCR)Not measured79.7%Only Gemini 4 Argon measured
DTBench90.7%97.6%Gemini 4 Argon
LMCA41.2%63.7%Gemini 4 Argon
Surface Evolver Bench40.0%Not measuredOnly DeepSeek V4 Pro 0423 measured
Furniture assemblyNot measured72.5%Only Gemini 4 Argon measured
CL-bench Life13.5%Not measuredOnly DeepSeek V4 Pro 0423 measured
LMArena Text14511532Gemini 4 Argon
LMArena Text: instruction following14451534Gemini 4 Argon
LMArena Text: creative writing14461527Gemini 4 Argon
LMArena Text: English14591538Gemini 4 Argon
LMArena Text: non-English14391522Gemini 4 Argon
LMArena Text: Chinese14811611Gemini 4 Argon
LMArena Text: German1458Not measuredOnly DeepSeek V4 Pro 0423 measured
LMArena Text: Japanese1446Not measuredOnly DeepSeek V4 Pro 0423 measured
LMArena Text: Korean1409Not measuredOnly DeepSeek V4 Pro 0423 measured
LMArena Text: French1473Not measuredOnly DeepSeek V4 Pro 0423 measured
LMArena Text: Spanish14571503Gemini 4 Argon
LMArena Text: Russian14531534Gemini 4 Argon
LMArena Text: Polish1461Not measuredOnly DeepSeek V4 Pro 0423 measured
LMArena Text: multi-turn14681556Gemini 4 Argon
LMArena Text: longer queries14581547Gemini 4 Argon
LMArena Text: writing and language14471529Gemini 4 Argon
LMArena Text: entertainment and media14311527Gemini 4 Argon
Neither model has a result on the other 18 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for DeepSeek V4 Pro 0423 and Gemini 4 Argon
BenchmarkDeepSeek V4 Pro 0423Gemini 4 ArgonLeader
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 Pro 0423$0.0019Fits in one request
Gemini 4 Argon$0.0070Fits in one request

DeepSeek V4 Pro 0423 costs less

Repository review

50K input + 3K output tokens

DeepSeek V4 Pro 0423$0.053Fits in one request
Gemini 4 Argon$0.130Fits in one request

DeepSeek V4 Pro 0423 costs less

Agent loop

200K input + 10K output tokens

DeepSeek V4 Pro 0423$0.210Fits in one request
Gemini 4 Argon$0.500Fits in one request

DeepSeek V4 Pro 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 Pro 0423 and Gemini 4 Argon
SpecificationDeepSeek V4 Pro 0423Google Gemini 4 Argon
MakerDeepSeekGoogle
WeightsOpen weightsNo public weights listed
ReleasedApril 24, 2026October 13, 2026
Context window1.05M1.05M
Input $/Mtok$0.9553$2.00
Output $/Mtok$1.9105$10.00
Coding index35.380.5
Independent measurements behind it12
Cost per solved task$0.57Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V4 Pro 0423 better than Gemini 4 Argon for coding?

Pick Gemini 4 Argon for coding: it scores 80.5 on the Vibe Coding Index against 35.3 for DeepSeek V4 Pro 0423. Pick DeepSeek V4 Pro 0423 when output tokens cost 5.2x less.

Which is cheaper, DeepSeek V4 Pro 0423 or Gemini 4 Argon?

DeepSeek V4 Pro 0423 costs $0.9553 per million input tokens and $1.9105 per million output tokens; Gemini 4 Argon costs $2.00 and $10.00. Cost per solved task is known for DeepSeek V4 Pro 0423 only.

Which has the bigger context window, DeepSeek V4 Pro 0423 or Gemini 4 Argon?

Neither: both take 1.05M tokens.

How many benchmarks is the DeepSeek V4 Pro 0423 vs Gemini 4 Argon comparison based on?

60 benchmarks have a result for both models as of October 21, 2026. DeepSeek V4 Pro 0423's coding index rests on 1 independent benchmark and Gemini 4 Argon's on 2. Where only one model has a result, the page says so instead of naming a winner.

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