DeepSeek V4 Flash 0423 vs Gemini 4 Argon
Gemini 4 Argon leads DeepSeek V4 Flash 0423 on the Artificial Analysis Intelligence Index, 52.6 to 24.4, and DeepSeek V4 Flash 0423 costs 35.7x less per output token ($0.28 vs $10.00 per million). Updated October 21, 2026; 37 benchmarks have a result for both.
DeepSeek V4 Flash 0423 or Gemini 4 Argon: which to pick
Only Gemini 4 Argon has a coding score, 81.0 on the Vibe Coding Index; DeepSeek V4 Flash 0423 has none, so the two cannot be ranked on coding.
Pick DeepSeek V4 Flash 0423 for output tokens 35.7x cheaper ($0.28 vs $10.00 per million).
- Shared results
- 37
- DeepSeek V4 Flash 0423 only
- 12
- Gemini 4 Argon only
- 56
- 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.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Only Gemini 4 Argon has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Gemini 4 Argon
Gemini 4 Argon leads, 52.6 against 24.4.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only DeepSeek V4 Flash 0423 has a AA Agentic Index result, 26.3.
Directional only
Web design
Design Arena: websites
Gemini 4 Argon
Gemini 4 Argon leads, 1315 against 1208.
Same board, both measured
General
Vals Index
No call
Only Gemini 4 Argon has a Vals Index result, 69.2%.
Directional only
Long documents
Listed context window
No call
Both take 1.05M tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
DeepSeek V4 Flash 0423
DeepSeek V4 Flash 0423 $0.0003, Gemini 4 Argon $0.0070 per turn.
List prices
At a glance
- Coding index
- DeepSeek V4 Flash 0423 not benchmarked, Gemini 4 Argon 81.0 from 5 benchmarks.
- Widest category
- Intelligence, 26.8 points apart on average over 2 shared benchmarks.
- Widest single gap
- ALE-Bench: DeepSeek V4 Flash 0423 678.2 against Gemini 4 Argon 2100.1, 47.4 points apart on a 0 to 100 scale.
- Output price
- DeepSeek V4 Flash 0423 $0.28 against Gemini 4 Argon $10.00 per million output tokens, 35.7x 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.
| Category | DeepSeek V4 Flash 0423 | Bars | Gemini 4 Argon | Ties |
|---|---|---|---|---|
| Coding | 0 | 6 | ||
| Intelligence | 0 | 2 | ||
| Reasoning | 0 | 3 | ||
| Math | 0 | 2 | ||
| Knowledge | 0 | 4 | ||
| Web design | 0 | 6 | ||
| General | 0 | 14 | ||
| All shared boards | 0 | 37 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index06
| Benchmark | DeepSeek V4 Flash 0423 | Gemini 4 Argon | Leader |
|---|---|---|---|
| LiveBench coding | Not measured | 89.7% | Only Gemini 4 Argon measured |
| LMArena WebDev | 1582 | 1678 | Gemini 4 Argon |
| AA Coding Index | 52.0 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| Terminal-Bench 4 (Vals AI) | Not measured | 57.6% | Only Gemini 4 Argon measured |
| Vibe Code Bench (Vals AI) | Not measured | 91.9% | Only Gemini 4 Argon measured |
| Code migration (Vals AI) | Not measured | 68.2% | Only Gemini 4 Argon measured |
| ProgramBench (Vals AI) | Not measured | 2.5% | Only Gemini 4 Argon measured |
| IOI (Vals AI) | Not measured | 100.0% | Only Gemini 4 Argon measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 57.7% | Only Gemini 4 Argon measured |
| SWE-bench Multimodal (Vals AI) | Not measured | 56.0% | Only Gemini 4 Argon measured |
| Vibe Code Bench 1-100 (Vals AI) | Not measured | 21.2% | Only Gemini 4 Argon measured |
| CyberBench (Vals AI) | Not measured | 77.9% | Only Gemini 4 Argon measured |
| SciCode | Not measured | 61.8% | Only Gemini 4 Argon measured |
| FrontierCode | Not measured | 47.5% | Only Gemini 4 Argon measured |
| FrontierSWE | Not measured | 55.0% | Only Gemini 4 Argon measured |
| WeirdML | 45.6% | Not measured | Only DeepSeek V4 Flash 0423 measured |
| ALE-Bench | 678.2 | 2100.1 | Gemini 4 Argon |
| LMArena Text: coding | 1457 | 1546 | Gemini 4 Argon |
| LMArena Text: software and IT | 1453 | 1556 | Gemini 4 Argon |
| LMArena WebDev: React | 1585 | 1692 | Gemini 4 Argon |
| LMArena WebDev: HTML | 1558 | 1643 | Gemini 4 Argon |
| SciCode | Not measured | 12.3% | Only Gemini 4 Argon measured |
| Neither model has a result on the other 17 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | DeepSeek V4 Flash 0423 | Gemini 4 Argon | Leader |
|---|---|---|---|
| AA Intelligence Index | 24.4 | 52.6 | Gemini 4 Argon |
| Epoch Capabilities Index | 146.1 | 166.4 | Gemini 4 Argon |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index19 boards, none shared
| Benchmark | DeepSeek V4 Flash 0423 | Gemini 4 Argon | Leader |
|---|---|---|---|
| AA Agentic Index | 26.3 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| Design Arena: spreadsheets | Not measured | 1142 | Only Gemini 4 Argon measured |
| LiveBench research | Not measured | 83.1% | Only Gemini 4 Argon measured |
| LiveBench browser | Not measured | 92.0% | Only Gemini 4 Argon measured |
| LiveBench long agentic | Not measured | 69.9% | Only Gemini 4 Argon measured |
| SREBench (Vals AI) | Not measured | 44.3% | Only Gemini 4 Argon measured |
| Finance Agent (Vals AI) | Not measured | 65.4% | Only Gemini 4 Argon measured |
| Tax Agent Bench (Vals AI) | Not measured | 44.6% | Only Gemini 4 Argon measured |
| Legal Research Bench (Vals AI) | Not measured | 54.8% | Only Gemini 4 Argon measured |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 27.1% | Only Gemini 4 Argon measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 75.2% | Only Gemini 4 Argon measured |
| BioMysteryBench (Vals AI) | Not measured | 76.3% | Only Gemini 4 Argon measured |
| Terminal-Bench-Science (Vals AI) | Not measured | 44.3% | Only Gemini 4 Argon measured |
| Vals Science Index | Not measured | 55.4% | Only Gemini 4 Argon measured |
| Time Horizon Index (Vals AI) | Not measured | 52.5% | Only Gemini 4 Argon measured |
| CUA-bench (Vals AI) | Not measured | 4.8% | Only Gemini 4 Argon measured |
| Robo-bench (Vals AI) | Not measured | 0.8% | Only Gemini 4 Argon measured |
| APEX-Agents | Not measured | 82.4% | Only Gemini 4 Argon measured |
| Vending-Bench 2 | Not measured | $13,718 | Only Gemini 4 Argon measured |
| Neither model has a result on the other 22 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | DeepSeek V4 Flash 0423 | Gemini 4 Argon | Leader |
|---|---|---|---|
| LiveBench reasoning | Not measured | 95.1% | Only Gemini 4 Argon measured |
| MysteryMechanism (Vals AI) | Not measured | 45.5% | Only Gemini 4 Argon measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 57.1% | Only Gemini 4 Argon measured |
| GPQA Diamond (Epoch AI run) | Not measured | 96.4% | Only Gemini 4 Argon measured |
| ARC-AGI | Not measured | 98.5% | Only Gemini 4 Argon measured |
| ARC-AGI-2 | Not measured | 91.3% | Only Gemini 4 Argon measured |
| SimpleBench | 46.3% | Not measured | Only DeepSeek V4 Flash 0423 measured |
| Chess puzzles | Not measured | 59.0% | Only Gemini 4 Argon measured |
| Mystery game puzzles | Not measured | 64.0% | Only Gemini 4 Argon measured |
| EBR-bench | Not measured | 64.8% | Only Gemini 4 Argon measured |
| LMArena Text: hard prompts | 1444 | 1546 | Gemini 4 Argon |
| LMArena Text: expert | 1441 | 1550 | Gemini 4 Argon |
| LMArena Text: hard prompts in English | 1449 | 1548 | Gemini 4 Argon |
| Kagi LLM Benchmark | 52.2% | Not measured | Only DeepSeek V4 Flash 0423 measured |
| Neither model has a result on the other 8 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | DeepSeek V4 Flash 0423 | Gemini 4 Argon | Leader |
|---|---|---|---|
| OTIS Mock AIME | Not measured | 100.0% | Only Gemini 4 Argon measured |
| FrontierMath, tiers 1 to 3 | Not measured | 86.0% | Only Gemini 4 Argon measured |
| FrontierMath, tier 4 | Not measured | 78.0% | Only Gemini 4 Argon measured |
| ProofBench | Not measured | 99.0% | Only Gemini 4 Argon measured |
| LMArena Text: math | 1426 | 1536 | Gemini 4 Argon |
| LMArena Text: mathematical work | 1432 | 1557 | Gemini 4 Argon |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | DeepSeek V4 Flash 0423 | Gemini 4 Argon | Leader |
|---|---|---|---|
| LegalBench (Vals AI) | Not measured | 88.3% | Only Gemini 4 Argon measured |
| MedCode (Vals AI) | Not measured | 58.8% | Only Gemini 4 Argon measured |
| SimpleQA Verified | Not measured | 76.0% | Only Gemini 4 Argon measured |
| LMArena Text: science | 1446 | 1548 | Gemini 4 Argon |
| LMArena Text: medicine and healthcare | 1448 | 1555 | Gemini 4 Argon |
| LMArena Text: legal and government | 1439 | 1548 | Gemini 4 Argon |
| LMArena Text: business and finance | 1425 | 1525 | Gemini 4 Argon |
| Neither model has a result on the other 11 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index06
| Benchmark | DeepSeek V4 Flash 0423 | Gemini 4 Argon | Leader |
|---|---|---|---|
| Design Arena: websites | 1208 | 1315 | Gemini 4 Argon |
| Design Arena: UI components | 1165 | 1331 | Gemini 4 Argon |
| Design Arena: game dev | 1197 | 1375 | Gemini 4 Argon |
| Design Arena: data viz | 1127 | 1336 | Gemini 4 Argon |
| Design Arena: 3D | 1189 | 1389 | Gemini 4 Argon |
| Design Arena: all code categories | 1205 | 1329 | Gemini 4 Argon |
| Design Arena: SVG | 1155 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| Design Arena: ASCII art | 1109 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| LiveBench design | Not measured | 73.7% | Only Gemini 4 Argon measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index014
| Benchmark | DeepSeek V4 Flash 0423 | Gemini 4 Argon | Leader |
|---|---|---|---|
| Vals Index | Not measured | 69.2% | Only Gemini 4 Argon measured |
| LiveBench data analysis | Not measured | 85.2% | Only Gemini 4 Argon measured |
| Public Benefits Bench (Vals AI) | Not measured | 69.8% | Only Gemini 4 Argon measured |
| SAGE (Vals AI) | Not measured | 53.6% | Only Gemini 4 Argon measured |
| MedScribe (Vals AI) | Not measured | 87.4% | Only Gemini 4 Argon measured |
| Long context reasoning (AA-LCR) | Not measured | 79.7% | Only Gemini 4 Argon measured |
| DTBench | 86.4% | 97.6% | Gemini 4 Argon |
| LMCA | 35.9% | 63.7% | Gemini 4 Argon |
| Furniture assembly | Not measured | 72.5% | Only Gemini 4 Argon measured |
| LMArena Text | 1432 | 1532 | Gemini 4 Argon |
| LMArena Text: instruction following | 1421 | 1534 | Gemini 4 Argon |
| LMArena Text: creative writing | 1403 | 1527 | Gemini 4 Argon |
| LMArena Text: English | 1441 | 1538 | Gemini 4 Argon |
| LMArena Text: non-English | 1419 | 1522 | Gemini 4 Argon |
| LMArena Text: Chinese | 1463 | 1611 | Gemini 4 Argon |
| LMArena Text: German | 1419 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| LMArena Text: Japanese | 1389 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| LMArena Text: Korean | 1383 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| LMArena Text: French | 1439 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| LMArena Text: Spanish | 1436 | 1503 | Gemini 4 Argon |
| LMArena Text: Russian | 1427 | 1534 | Gemini 4 Argon |
| LMArena Text: Polish | 1436 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| LMArena Text: multi-turn | 1449 | 1556 | Gemini 4 Argon |
| LMArena Text: longer queries | 1434 | 1547 | Gemini 4 Argon |
| LMArena Text: writing and language | 1410 | 1529 | Gemini 4 Argon |
| LMArena Text: entertainment and media | 1400 | 1527 | Gemini 4 Argon |
| Neither model has a result on the other 20 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | DeepSeek V4 Flash 0423 | Gemini 4 Argon | Leader |
|---|---|---|---|
| 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 costs less
Repository review
50K input + 3K output tokens
DeepSeek V4 Flash 0423 costs less
Agent loop
200K input + 10K output tokens
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.
| Specification | DeepSeek V4 Flash 0423 | Google Gemini 4 Argon |
|---|---|---|
| Maker | DeepSeek | |
| Weights | Open weights | No public weights listed |
| Released | April 24, 2026 | October 13, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $0.13 | $2.00 |
| Output $/Mtok | $0.28 | $10.00 |
| Coding index | Not benchmarked | 81.0 |
| Independent measurements behind it | 1 | 5 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is DeepSeek V4 Flash 0423 better than Gemini 4 Argon for coding?
Only Gemini 4 Argon has a coding score, 81.0 on the Vibe Coding Index; DeepSeek V4 Flash 0423 has none, so the two cannot be ranked on coding. Pick DeepSeek V4 Flash 0423 for output tokens 35.7x cheaper ($0.28 vs $10.00 per million).
Which is cheaper, DeepSeek V4 Flash 0423 or Gemini 4 Argon?
DeepSeek V4 Flash 0423 costs $0.13 per million input tokens and $0.28 per million output tokens; Gemini 4 Argon costs $2.00 and $10.00. Cost per solved task is known for neither of them.
Which has the bigger context window, DeepSeek V4 Flash 0423 or Gemini 4 Argon?
Neither: both take 1.05M tokens.
How many benchmarks is the DeepSeek V4 Flash 0423 vs Gemini 4 Argon comparison based on?
37 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 Gemini 4 Argon's on 5. Where only one model has a result, the page says so instead of naming a winner.