DeepSeek V4 Flash 0423 vs Gemini 3.5 Flash Lite
DeepSeek V4 Flash 0423 leads Gemini 3.5 Flash Lite on the Artificial Analysis Intelligence Index, 24.4 to 22.2, and DeepSeek V4 Flash 0423 costs 8.9x less per output token ($0.28 vs $2.50 per million). Updated October 22, 2026; 38 benchmarks have a result for both.
DeepSeek V4 Flash 0423 or Gemini 3.5 Flash Lite: which to pick
Only Gemini 3.5 Flash Lite has a coding score, 49.0 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 8.9x cheaper ($0.28 vs $2.50 per million) and work measured by LMArena WebDev or AA Coding Index, where it leads.
- Shared results
- 38
- DeepSeek V4 Flash 0423 only
- 11
- Gemini 3.5 Flash Lite only
- 47
- 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 3.5 Flash Lite has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
DeepSeek V4 Flash 0423
DeepSeek V4 Flash 0423 leads, 24.4 against 22.2.
Same board, both measured
Agentic work
AA Agentic Index
DeepSeek V4 Flash 0423
DeepSeek V4 Flash 0423 leads, 26.3 against 14.3.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only Gemini 3.5 Flash Lite has a GPQA Diamond result, 83.8%.
Directional only
Knowledge
MMLU Pro
No call
Only Gemini 3.5 Flash Lite has a MMLU Pro result, 85.8%.
Directional only
Web design
Design Arena: websites
No call
Only DeepSeek V4 Flash 0423 has a Design Arena: websites result, 1207.
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 3.5 Flash Lite $0.0015 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Gemini 3.5 Flash Lite has the number, $0.41.
Directional only
At a glance
- Coding index
- DeepSeek V4 Flash 0423 not benchmarked, Gemini 3.5 Flash Lite 49.0 from 3 benchmarks.
- Widest category
- Agentic work, 12.0 points apart on average over 1 shared benchmark.
- Widest single gap
- LMArena WebDev: React: DeepSeek V4 Flash 0423 1585 against Gemini 3.5 Flash Lite 1408, 29.5 points apart on a 0 to 100 scale.
- Output price
- DeepSeek V4 Flash 0423 $0.28 against Gemini 3.5 Flash Lite $2.50 per million output tokens, 8.9x 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 3.5 Flash Lite | Ties |
|---|---|---|---|---|
| Coding | 6 | 1 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 3 | 0 | ||
| Math | 0 | 2 | ||
| Knowledge | 3 | 1 | ||
| General | 4 | 15 | ||
| All shared boards | 19 | 19 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index61
| Benchmark | DeepSeek V4 Flash 0423 | Gemini 3.5 Flash Lite | Leader |
|---|---|---|---|
| LMArena WebDev | 1582 | 1435 | DeepSeek V4 Flash 0423 |
| AA Coding Index | 52.0 | 49.3 | DeepSeek V4 Flash 0423 |
| LiveCodeBench (Vals AI) | Not measured | 79.0% | Only Gemini 3.5 Flash Lite measured |
| SWE-bench Verified (Vals AI) | Not measured | 75.0% | Only Gemini 3.5 Flash Lite measured |
| Vibe Code Bench (Vals AI) | Not measured | 37.2% | Only Gemini 3.5 Flash Lite measured |
| Code migration (Vals AI) | Not measured | 6.2% | Only Gemini 3.5 Flash Lite measured |
| ProgramBench (Vals AI) | Not measured | 0.0% | Only Gemini 3.5 Flash Lite measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 50.2% | Only Gemini 3.5 Flash Lite measured |
| CyberBench (Vals AI) | Not measured | 59.1% | Only Gemini 3.5 Flash Lite measured |
| SciCode | Not measured | 41.3% | Only Gemini 3.5 Flash Lite measured |
| WeirdML | 45.6% | 39.0% | DeepSeek V4 Flash 0423 |
| ALE-Bench | 678.2 | 765.3 | Gemini 3.5 Flash Lite |
| LMArena Text: coding | 1457 | 1453 | DeepSeek V4 Flash 0423 |
| LMArena Text: software and IT | 1453 | 1451 | DeepSeek V4 Flash 0423 |
| LMArena WebDev: React | 1585 | 1408 | DeepSeek V4 Flash 0423 |
| LMArena WebDev: HTML | 1558 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| LMArena WebDev: from an image | Not measured | 1448 | Only Gemini 3.5 Flash Lite measured |
| SciCode | Not measured | 6.2% | Only Gemini 3.5 Flash Lite measured |
| Neither model has a result on the other 21 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | DeepSeek V4 Flash 0423 | Gemini 3.5 Flash Lite | Leader |
|---|---|---|---|
| AA Intelligence Index | 24.4 | 22.2 | DeepSeek V4 Flash 0423 |
| Epoch Capabilities Index | 146.1 | 144.9 | DeepSeek V4 Flash 0423 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | DeepSeek V4 Flash 0423 | Gemini 3.5 Flash Lite | Leader |
|---|---|---|---|
| AA Agentic Index | 26.3 | 14.3 | DeepSeek V4 Flash 0423 |
| Finance Agent (Vals AI) | Not measured | 47.4% | Only Gemini 3.5 Flash Lite measured |
| Tax Agent Bench (Vals AI) | Not measured | 7.2% | Only Gemini 3.5 Flash Lite measured |
| Legal Research Bench (Vals AI) | Not measured | 13.9% | Only Gemini 3.5 Flash Lite measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 43.2% | Only Gemini 3.5 Flash Lite measured |
| APEX-Agents | Not measured | 29.3% | Only Gemini 3.5 Flash Lite measured |
| Neither model has a result on the other 35 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | DeepSeek V4 Flash 0423 | Gemini 3.5 Flash Lite | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 83.8% | Only Gemini 3.5 Flash Lite measured |
| MMMU Pro (Vals AI) | Not measured | 83.6% | Only Gemini 3.5 Flash Lite measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 83.8% | Only Gemini 3.5 Flash Lite measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 18.8% | Only Gemini 3.5 Flash Lite measured |
| GPQA Diamond (Epoch AI run) | Not measured | 83.3% | Only Gemini 3.5 Flash Lite measured |
| ARC-AGI | Not measured | 53.5% | Only Gemini 3.5 Flash Lite measured |
| ARC-AGI-2 | Not measured | 10.3% | Only Gemini 3.5 Flash Lite measured |
| SimpleBench | 46.3% | Not measured | Only DeepSeek V4 Flash 0423 measured |
| Chess puzzles | Not measured | 21.0% | Only Gemini 3.5 Flash Lite measured |
| Mystery game puzzles | Not measured | 19.0% | Only Gemini 3.5 Flash Lite measured |
| LMArena Text: hard prompts | 1444 | 1441 | DeepSeek V4 Flash 0423 |
| LMArena Text: expert | 1441 | 1434 | DeepSeek V4 Flash 0423 |
| LMArena Text: hard prompts in English | 1449 | 1440 | DeepSeek V4 Flash 0423 |
| LMArena Vision: diagrams | Not measured | 1284 | Only Gemini 3.5 Flash Lite measured |
| LMArena Vision: homework | Not measured | 1291 | Only Gemini 3.5 Flash Lite measured |
| Kagi LLM Benchmark | 52.2% | Not measured | Only DeepSeek V4 Flash 0423 measured |
| Neither model has a result on the other 6 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | DeepSeek V4 Flash 0423 | Gemini 3.5 Flash Lite | Leader |
|---|---|---|---|
| OTIS Mock AIME | Not measured | 71.1% | Only Gemini 3.5 Flash Lite measured |
| FrontierMath, tiers 1 to 3 | Not measured | 26.0% | Only Gemini 3.5 Flash Lite measured |
| FrontierMath, tier 4 | Not measured | 0.0% | Only Gemini 3.5 Flash Lite measured |
| ProofBench | Not measured | 13.0% | Only Gemini 3.5 Flash Lite measured |
| LMArena Text: math | 1426 | 1434 | Gemini 3.5 Flash Lite |
| LMArena Text: mathematical work | 1432 | 1433 | Gemini 3.5 Flash Lite |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index31
| Benchmark | DeepSeek V4 Flash 0423 | Gemini 3.5 Flash Lite | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 85.8% | Only Gemini 3.5 Flash Lite measured |
| LegalBench (Vals AI) | Not measured | 84.1% | Only Gemini 3.5 Flash Lite measured |
| CorpFin (Vals AI) | Not measured | 60.7% | Only Gemini 3.5 Flash Lite measured |
| TaxEval (Vals AI) | Not measured | 72.6% | Only Gemini 3.5 Flash Lite measured |
| MortgageTax (Vals AI) | Not measured | 68.7% | Only Gemini 3.5 Flash Lite measured |
| MedCode (Vals AI) | Not measured | 43.5% | Only Gemini 3.5 Flash Lite measured |
| LMArena Text: science | 1446 | 1451 | Gemini 3.5 Flash Lite |
| LMArena Text: medicine and healthcare | 1448 | 1438 | DeepSeek V4 Flash 0423 |
| LMArena Text: legal and government | 1439 | 1431 | DeepSeek V4 Flash 0423 |
| LMArena Text: business and finance | 1425 | 1423 | DeepSeek V4 Flash 0423 |
| FACTS Benchmark Suite | Not measured | 53.5% | Only Gemini 3.5 Flash Lite measured |
| Neither model has a result on the other 7 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | DeepSeek V4 Flash 0423 | Gemini 3.5 Flash Lite | Leader |
|---|---|---|---|
| Design Arena: websites | 1207 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| Design Arena: UI components | 1162 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| Design Arena: game dev | 1196 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| Design Arena: data viz | 1127 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| Design Arena: 3D | 1188 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| Design Arena: all code categories | 1205 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| Design Arena: SVG | 1154 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| Design Arena: ASCII art | 1109 | Not measured | Only 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 index415
| Benchmark | DeepSeek V4 Flash 0423 | Gemini 3.5 Flash Lite | Leader |
|---|---|---|---|
| Public Benefits Bench (Vals AI) | Not measured | 51.8% | Only Gemini 3.5 Flash Lite measured |
| SAGE (Vals AI) | Not measured | 47.3% | Only Gemini 3.5 Flash Lite measured |
| MedScribe (Vals AI) | Not measured | 70.9% | Only Gemini 3.5 Flash Lite measured |
| Long context reasoning (AA-LCR) | Not measured | 76.0% | Only Gemini 3.5 Flash Lite measured |
| DTBench | 86.4% | 83.5% | DeepSeek V4 Flash 0423 |
| LMCA | 35.9% | 37.6% | Gemini 3.5 Flash Lite |
| LMArena Text | 1432 | 1435 | Gemini 3.5 Flash Lite |
| LMArena Text: instruction following | 1421 | 1419 | DeepSeek V4 Flash 0423 |
| LMArena Text: creative writing | 1403 | 1421 | Gemini 3.5 Flash Lite |
| LMArena Vision | Not measured | 1269 | Only Gemini 3.5 Flash Lite measured |
| LMArena Text: English | 1441 | 1438 | DeepSeek V4 Flash 0423 |
| LMArena Text: non-English | 1419 | 1427 | Gemini 3.5 Flash Lite |
| LMArena Text: Chinese | 1463 | 1468 | Gemini 3.5 Flash Lite |
| LMArena Text: German | 1419 | 1454 | Gemini 3.5 Flash Lite |
| LMArena Text: Japanese | 1389 | 1426 | Gemini 3.5 Flash Lite |
| LMArena Text: Korean | 1383 | 1407 | Gemini 3.5 Flash Lite |
| LMArena Text: French | 1439 | 1451 | Gemini 3.5 Flash Lite |
| LMArena Text: Spanish | 1436 | 1441 | Gemini 3.5 Flash Lite |
| LMArena Text: Russian | 1427 | 1443 | Gemini 3.5 Flash Lite |
| LMArena Text: Polish | 1436 | 1437 | Gemini 3.5 Flash Lite |
| LMArena Text: multi-turn | 1449 | 1445 | DeepSeek V4 Flash 0423 |
| LMArena Text: longer queries | 1434 | 1435 | Gemini 3.5 Flash Lite |
| LMArena Text: writing and language | 1410 | 1428 | Gemini 3.5 Flash Lite |
| LMArena Text: entertainment and media | 1400 | 1414 | Gemini 3.5 Flash Lite |
| LMArena Vision: English | Not measured | 1269 | Only Gemini 3.5 Flash Lite measured |
| LMArena Vision: Chinese | Not measured | 1311 | Only Gemini 3.5 Flash Lite measured |
| LMArena Vision: reading text | Not measured | 1280 | Only Gemini 3.5 Flash Lite measured |
| LMArena Vision: humor | Not measured | 1287 | Only Gemini 3.5 Flash Lite measured |
| LMArena Vision: creative writing | Not measured | 1260 | Only Gemini 3.5 Flash Lite 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
| Benchmark | DeepSeek V4 Flash 0423 | Gemini 3.5 Flash Lite | 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 3.5 Flash Lite |
|---|---|---|
| Maker | DeepSeek | |
| Weights | Open weights | No public weights listed |
| Released | April 24, 2026 | July 21, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $0.13 | $0.30 |
| Output $/Mtok | $0.28 | $2.50 |
| Coding index | Not benchmarked | 49.0 |
| Independent measurements behind it | 1 | 3 |
| Cost per solved task | Not computable | $0.41 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is DeepSeek V4 Flash 0423 better than Gemini 3.5 Flash Lite for coding?
Only Gemini 3.5 Flash Lite has a coding score, 49.0 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 8.9x cheaper ($0.28 vs $2.50 per million) and work measured by LMArena WebDev or AA Coding Index, where it leads.
Which is cheaper, DeepSeek V4 Flash 0423 or Gemini 3.5 Flash Lite?
DeepSeek V4 Flash 0423 costs $0.13 per million input tokens and $0.28 per million output tokens; Gemini 3.5 Flash Lite costs $0.30 and $2.50. Cost per solved task is known for Gemini 3.5 Flash Lite only.
Which has the bigger context window, DeepSeek V4 Flash 0423 or Gemini 3.5 Flash Lite?
Neither: both take 1.05M tokens.
How many benchmarks is the DeepSeek V4 Flash 0423 vs Gemini 3.5 Flash Lite comparison based on?
38 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 Gemini 3.5 Flash Lite's on 3. Where only one model has a result, the page says so instead of naming a winner.