DeepSeek V4 Flash 0423 vs GPT-5.4 Nano
DeepSeek V4 Flash 0423 leads GPT-5.4 Nano on the Artificial Analysis Intelligence Index, 24.4 to 20.7, and DeepSeek V4 Flash 0423 costs 4.5x less per output token ($0.28 vs $1.25 per million). Updated October 21, 2026; 37 benchmarks have a result for both.
DeepSeek V4 Flash 0423 or GPT-5.4 Nano: which to pick
Only GPT-5.4 Nano has a coding score, 44.8 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 4.5x cheaper ($0.28 vs $1.25 per million) and a larger context window (1.05M against 400K tokens).
- Shared results
- 37
- DeepSeek V4 Flash 0423 only
- 12
- GPT-5.4 Nano only
- 48
- 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 GPT-5.4 Nano 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 20.7.
Same board, both measured
Agentic work
AA Agentic Index
DeepSeek V4 Flash 0423
DeepSeek V4 Flash 0423 leads, 26.3 against 16.0.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only GPT-5.4 Nano has a GPQA Diamond result, 77.5%.
Directional only
Math
AIME
No call
Only GPT-5.4 Nano has a AIME result, 88.8%.
Directional only
Knowledge
MMLU Pro
No call
Only GPT-5.4 Nano has a MMLU Pro result, 77.2%.
Directional only
Web design
Design Arena: websites
No call
Only DeepSeek V4 Flash 0423 has a Design Arena: websites result, 1208.
Directional only
Long documents
Listed context window
DeepSeek V4 Flash 0423
DeepSeek V4 Flash 0423 takes 1.05M tokens against 400K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
DeepSeek V4 Flash 0423
DeepSeek V4 Flash 0423 $0.0003, GPT-5.4 Nano $0.0008 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only GPT-5.4 Nano has the number, $0.14.
Directional only
At a glance
- Coding index
- DeepSeek V4 Flash 0423 not benchmarked, GPT-5.4 Nano 44.8 from 2 benchmarks.
- Widest category
- Knowledge, 11.7 points apart on average over 4 shared benchmarks.
- Widest single gap
- LMArena Text: creative writing: DeepSeek V4 Flash 0423 1403 against GPT-5.4 Nano 1315, 14.8 points apart on a 0 to 100 scale.
- Output price
- DeepSeek V4 Flash 0423 $0.28 against GPT-5.4 Nano $1.25 per million output tokens, 4.5x apart.
- Context window
- DeepSeek V4 Flash 0423 takes 1.05M tokens, GPT-5.4 Nano 400K.
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 | GPT-5.4 Nano | Ties |
|---|---|---|---|---|
| Coding | 2 | 3 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 4 | 0 | ||
| Math | 2 | 0 | ||
| Knowledge | 4 | 0 | ||
| General | 18 | 1 | ||
| All shared boards | 33 | 4 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index23
| Benchmark | DeepSeek V4 Flash 0423 | GPT-5.4 Nano | Leader |
|---|---|---|---|
| LMArena WebDev | 1582 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| AA Coding Index | 52.0 | 56.1 | GPT-5.4 Nano |
| LiveCodeBench (Vals AI) | Not measured | 84.0% | Only GPT-5.4 Nano measured |
| SWE-bench Verified (Vals AI) | Not measured | 69.8% | Only GPT-5.4 Nano measured |
| Vibe Code Bench (Vals AI) | Not measured | 26.1% | Only GPT-5.4 Nano measured |
| Code migration (Vals AI) | Not measured | 14.5% | Only GPT-5.4 Nano measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 41.6% | Only GPT-5.4 Nano measured |
| SciCode | Not measured | 47.2% | Only GPT-5.4 Nano measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 42.4% | Only GPT-5.4 Nano measured |
| WeirdML | 45.6% | 49.2% | GPT-5.4 Nano |
| ALE-Bench | 678.2 | 1004.5 | GPT-5.4 Nano |
| LMArena Text: coding | 1457 | 1404 | DeepSeek V4 Flash 0423 |
| LMArena Text: software and IT | 1453 | 1402 | DeepSeek V4 Flash 0423 |
| LMArena WebDev: React | 1585 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| LMArena WebDev: HTML | 1558 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| Neither model has a result on the other 24 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | DeepSeek V4 Flash 0423 | GPT-5.4 Nano | Leader |
|---|---|---|---|
| AA Intelligence Index | 24.4 | 20.7 | DeepSeek V4 Flash 0423 |
| Epoch Capabilities Index | 146.1 | 146.0 | DeepSeek V4 Flash 0423 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | DeepSeek V4 Flash 0423 | GPT-5.4 Nano | Leader |
|---|---|---|---|
| AA Agentic Index | 26.3 | 16.0 | DeepSeek V4 Flash 0423 |
| Finance Agent (Vals AI) | Not measured | 38.2% | Only GPT-5.4 Nano measured |
| Tax Agent Bench (Vals AI) | Not measured | 5.0% | Only GPT-5.4 Nano measured |
| Legal Research Bench (Vals AI) | Not measured | 6.3% | Only GPT-5.4 Nano measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 44.8% | Only GPT-5.4 Nano measured |
| τ²-Bench Telecom | Not measured | 76.0% | Only GPT-5.4 Nano measured |
| Neither model has a result on the other 35 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | DeepSeek V4 Flash 0423 | GPT-5.4 Nano | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 77.5% | Only GPT-5.4 Nano measured |
| MMMU Pro (Vals AI) | Not measured | 73.6% | Only GPT-5.4 Nano measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 81.7% | Only GPT-5.4 Nano measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 28.3% | Only GPT-5.4 Nano measured |
| GPQA Diamond (Epoch AI run) | Not measured | 78.5% | Only GPT-5.4 Nano measured |
| ARC-AGI | Not measured | 51.5% | Only GPT-5.4 Nano measured |
| ARC-AGI-2 | Not measured | 5.7% | Only GPT-5.4 Nano measured |
| SimpleBench | 46.3% | Not measured | Only DeepSeek V4 Flash 0423 measured |
| Chess puzzles | Not measured | 45.0% | Only GPT-5.4 Nano measured |
| Mystery game puzzles | Not measured | 9.0% | Only GPT-5.4 Nano measured |
| LMArena Text: hard prompts | 1444 | 1381 | DeepSeek V4 Flash 0423 |
| LMArena Text: expert | 1441 | 1396 | DeepSeek V4 Flash 0423 |
| LMArena Text: hard prompts in English | 1449 | 1387 | DeepSeek V4 Flash 0423 |
| LMArena Vision: diagrams | Not measured | 1210 | Only GPT-5.4 Nano measured |
| LMArena Vision: homework | Not measured | 1225 | Only GPT-5.4 Nano measured |
| Kagi LLM Benchmark | 52.2% | 39.7% | DeepSeek V4 Flash 0423 |
| Neither model has a result on the other 6 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | DeepSeek V4 Flash 0423 | GPT-5.4 Nano | Leader |
|---|---|---|---|
| AIME | Not measured | 88.8% | Only GPT-5.4 Nano measured |
| OTIS Mock AIME | Not measured | 87.8% | Only GPT-5.4 Nano measured |
| FrontierMath, tiers 1 to 3 | Not measured | 44.9% | Only GPT-5.4 Nano measured |
| FrontierMath, tier 4 | Not measured | 12.2% | Only GPT-5.4 Nano measured |
| ProofBench | Not measured | 5.0% | Only GPT-5.4 Nano measured |
| LMArena Text: math | 1426 | 1405 | DeepSeek V4 Flash 0423 |
| LMArena Text: mathematical work | 1432 | 1409 | DeepSeek V4 Flash 0423 |
| Neither model has a result on the other 6 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | DeepSeek V4 Flash 0423 | GPT-5.4 Nano | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 77.2% | Only GPT-5.4 Nano measured |
| LegalBench (Vals AI) | Not measured | 77.9% | Only GPT-5.4 Nano measured |
| CaseLaw (Vals AI) | Not measured | 51.9% | Only GPT-5.4 Nano measured |
| CorpFin (Vals AI) | Not measured | 61.2% | Only GPT-5.4 Nano measured |
| TaxEval (Vals AI) | Not measured | 67.4% | Only GPT-5.4 Nano measured |
| MortgageTax (Vals AI) | Not measured | 59.1% | Only GPT-5.4 Nano measured |
| MedCode (Vals AI) | Not measured | 41.0% | Only GPT-5.4 Nano measured |
| SimpleQA Verified | Not measured | 11.7% | Only GPT-5.4 Nano measured |
| LMArena Text: science | 1446 | 1374 | DeepSeek V4 Flash 0423 |
| LMArena Text: medicine and healthcare | 1448 | 1369 | DeepSeek V4 Flash 0423 |
| LMArena Text: legal and government | 1439 | 1368 | DeepSeek V4 Flash 0423 |
| LMArena Text: business and finance | 1425 | 1366 | DeepSeek V4 Flash 0423 |
| Neither model has a result on the other 6 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | DeepSeek V4 Flash 0423 | GPT-5.4 Nano | Leader |
|---|---|---|---|
| Design Arena: websites | 1208 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| Design Arena: UI components | 1165 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| Design Arena: game dev | 1197 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| Design Arena: data viz | 1127 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| Design Arena: 3D | 1189 | 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 | 1155 | 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 index181
| Benchmark | DeepSeek V4 Flash 0423 | GPT-5.4 Nano | Leader |
|---|---|---|---|
| SAGE (Vals AI) | Not measured | 38.1% | Only GPT-5.4 Nano measured |
| MedScribe (Vals AI) | Not measured | 77.1% | Only GPT-5.4 Nano measured |
| Vals Multimodal Index | Not measured | 47.6% | Only GPT-5.4 Nano measured |
| IFBench | Not measured | 75.9% | Only GPT-5.4 Nano measured |
| Long context reasoning (AA-LCR) | Not measured | 76.7% | Only GPT-5.4 Nano measured |
| DTBench | 86.4% | 80.3% | DeepSeek V4 Flash 0423 |
| LMCA | 35.9% | 36.9% | GPT-5.4 Nano |
| LMArena Text | 1432 | 1372 | DeepSeek V4 Flash 0423 |
| LMArena Text: instruction following | 1421 | 1362 | DeepSeek V4 Flash 0423 |
| LMArena Text: creative writing | 1403 | 1315 | DeepSeek V4 Flash 0423 |
| LMArena Vision | Not measured | 1196 | Only GPT-5.4 Nano measured |
| LMArena Text: English | 1441 | 1381 | DeepSeek V4 Flash 0423 |
| LMArena Text: non-English | 1419 | 1359 | DeepSeek V4 Flash 0423 |
| LMArena Text: Chinese | 1463 | 1391 | DeepSeek V4 Flash 0423 |
| LMArena Text: German | 1419 | 1368 | DeepSeek V4 Flash 0423 |
| LMArena Text: Japanese | 1389 | 1343 | DeepSeek V4 Flash 0423 |
| LMArena Text: Korean | 1383 | 1321 | DeepSeek V4 Flash 0423 |
| LMArena Text: French | 1439 | 1395 | DeepSeek V4 Flash 0423 |
| LMArena Text: Spanish | 1436 | 1371 | DeepSeek V4 Flash 0423 |
| LMArena Text: Russian | 1427 | 1363 | DeepSeek V4 Flash 0423 |
| LMArena Text: Polish | 1436 | 1366 | DeepSeek V4 Flash 0423 |
| LMArena Text: multi-turn | 1449 | 1382 | DeepSeek V4 Flash 0423 |
| LMArena Text: longer queries | 1434 | 1365 | DeepSeek V4 Flash 0423 |
| LMArena Text: writing and language | 1410 | 1338 | DeepSeek V4 Flash 0423 |
| LMArena Text: entertainment and media | 1400 | 1325 | DeepSeek V4 Flash 0423 |
| LMArena Vision: English | Not measured | 1202 | Only GPT-5.4 Nano measured |
| LMArena Vision: Chinese | Not measured | 1232 | Only GPT-5.4 Nano measured |
| LMArena Vision: reading text | Not measured | 1204 | Only GPT-5.4 Nano measured |
| LMArena Vision: humor | Not measured | 1161 | Only GPT-5.4 Nano measured |
| LMArena Vision: recognizing things | Not measured | 1141 | Only GPT-5.4 Nano measured |
| LMArena Vision: creative writing | Not measured | 1159 | Only GPT-5.4 Nano measured |
| Neither model has a result on the other 15 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | DeepSeek V4 Flash 0423 | GPT-5.4 Nano | 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 | OpenAI GPT-5.4 Nano |
|---|---|---|
| Maker | DeepSeek | OpenAI |
| Weights | Open weights | No public weights listed |
| Released | April 24, 2026 | March 17, 2026 |
| Context window | 1.05M | 400K |
| Input $/Mtok | $0.13 | $0.20 |
| Output $/Mtok | $0.28 | $1.25 |
| Coding index | Not benchmarked | 44.8 |
| Independent measurements behind it | 1 | 2 |
| Cost per solved task | Not computable | $0.14 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is DeepSeek V4 Flash 0423 better than GPT-5.4 Nano for coding?
Only GPT-5.4 Nano has a coding score, 44.8 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 4.5x cheaper ($0.28 vs $1.25 per million) and a larger context window (1.05M against 400K tokens).
Which is cheaper, DeepSeek V4 Flash 0423 or GPT-5.4 Nano?
DeepSeek V4 Flash 0423 costs $0.13 per million input tokens and $0.28 per million output tokens; GPT-5.4 Nano costs $0.20 and $1.25. Cost per solved task is known for GPT-5.4 Nano only.
Which has the bigger context window, DeepSeek V4 Flash 0423 or GPT-5.4 Nano?
DeepSeek V4 Flash 0423, with 1.05M tokens against 400K.
How many benchmarks is the DeepSeek V4 Flash 0423 vs GPT-5.4 Nano 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 GPT-5.4 Nano's on 2. Where only one model has a result, the page says so instead of naming a winner.