DeepSeek V4 Pro 0423 vs GPT-5.4 Mini
DeepSeek V4 Pro 0423 leads GPT-5.4 Mini on coding, 38.7 to 35.8 on the Vibe Coding Index, and DeepSeek V4 Pro 0423 costs 1.5x less per output token ($2.976 vs $4.50 per million). Updated October 22, 2026; 65 benchmarks have a result for both.
DeepSeek V4 Pro 0423 or GPT-5.4 Mini: which to pick
Pick DeepSeek V4 Pro 0423 for coding: it scores 38.7 on the Vibe Coding Index against 35.8 for GPT-5.4 Mini.
Pick GPT-5.4 Mini for work measured by Terminal-Bench 2.1 (Vals AI) or FrontierCode, where it leads.
- Shared results
- 65
- DeepSeek V4 Pro 0423 only
- 19
- GPT-5.4 Mini only
- 24
- 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
DeepSeek V4 Pro 0423
DeepSeek V4 Pro 0423 scores 38.7 against 35.8.
5 benchmarks behind each score
Intelligence
AA Intelligence Index
DeepSeek V4 Pro 0423
DeepSeek V4 Pro 0423 leads, 30.4 against 24.1.
Same board, both measured
Agentic work
AA Agentic Index
DeepSeek V4 Pro 0423
DeepSeek V4 Pro 0423 leads, 26.3 against 17.9.
Same board, both measured
Reasoning
GPQA Diamond
DeepSeek V4 Pro 0423
DeepSeek V4 Pro 0423 leads, 89.4% against 83.1%.
Same board, both measured
Math
AIME
No call
Only GPT-5.4 Mini has a AIME result, 95.6%.
Directional only
Knowledge
MMLU Pro
DeepSeek V4 Pro 0423
DeepSeek V4 Pro 0423 leads, 87.3% against 84.5%.
Same board, both measured
Web design
Design Arena: websites
No call
Only DeepSeek V4 Pro 0423 has a Design Arena: websites result, 1234.
Directional only
Long documents
Listed context window
DeepSeek V4 Pro 0423
DeepSeek V4 Pro 0423 takes 1.05M tokens against 400K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
DeepSeek V4 Pro 0423
DeepSeek V4 Pro 0423 $0.0028, GPT-5.4 Mini $0.0030 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
DeepSeek V4 Pro 0423
DeepSeek V4 Pro 0423 $0.57, GPT-5.4 Mini $0.70.
Published attempt cost and pass rate
At a glance
- Coding index
- DeepSeek V4 Pro 0423 38.7 from 5 benchmarks, GPT-5.4 Mini 35.8 from 5 benchmarks.
- Widest category
- Agentic work, 8.6 points apart on average over 5 shared benchmarks.
- Widest single gap
- SimpleQA Verified: DeepSeek V4 Pro 0423 47.0% against GPT-5.4 Mini 29.4%, 17.6 points apart on a 0 to 100 scale.
- Output price
- DeepSeek V4 Pro 0423 $2.976 against GPT-5.4 Mini $4.50 per million output tokens, 1.5x apart.
- Context window
- DeepSeek V4 Pro 0423 takes 1.05M tokens, GPT-5.4 Mini 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 Pro 0423 | Bars | GPT-5.4 Mini | Ties |
|---|---|---|---|---|
| Coding | 11 | 4 | 1 tie | |
| Intelligence | 2 | 0 | ||
| Agentic work | 4 | 1 | ||
| Reasoning | 7 | 1 | ||
| Math | 3 | 3 | ||
| Knowledge | 9 | 0 | ||
| General | 19 | 0 | ||
| All shared boards | 55 | 9 | 1 tie |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index114
| Benchmark | DeepSeek V4 Pro 0423 | GPT-5.4 Mini | Leader |
|---|---|---|---|
| LMArena WebDev | 1447 | 1397 | DeepSeek V4 Pro 0423 |
| AA Coding Index | 59.4 | 56.1 | DeepSeek V4 Pro 0423 |
| LiveCodeBench (Vals AI) | 87.5% | 81.5% | DeepSeek V4 Pro 0423 |
| SWE-bench Verified (Vals AI) | 77.4% | 73.0% | DeepSeek V4 Pro 0423 |
| Terminal-Bench 4 (Vals AI) | 11.1% | 2.5% | DeepSeek V4 Pro 0423 |
| Vibe Code Bench (Vals AI) | 49.9% | 48.0% | DeepSeek V4 Pro 0423 |
| Code migration (Vals AI) | 26.2% | 12.9% | DeepSeek V4 Pro 0423 |
| ProgramBench (Vals AI) | 0.0% | 0.0% | Tie |
| Terminal-Bench 2.1 (Vals AI) | 50.2% | 54.7% | GPT-5.4 Mini |
| SkillsBench (Vals AI) | 51.3% | Not measured | Only DeepSeek V4 Pro 0423 measured |
| SciCode | Not measured | 52.1% | Only GPT-5.4 Mini measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 52.3% | Only GPT-5.4 Mini measured |
| FrontierCode | 17.6% | 27.0% | GPT-5.4 Mini |
| WeirdML | 48.9% | 60.3% | GPT-5.4 Mini |
| ALE-Bench | 1006.1 | 1188.6 | GPT-5.4 Mini |
| LMArena Text: coding | 1470 | 1438 | DeepSeek V4 Pro 0423 |
| LMArena Text: software and IT | 1469 | 1436 | DeepSeek V4 Pro 0423 |
| LMArena WebDev: React | 1441 | 1386 | DeepSeek V4 Pro 0423 |
| LMArena WebDev: HTML | 1435 | 1419 | DeepSeek V4 Pro 0423 |
| Neither model has a result on the other 20 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | DeepSeek V4 Pro 0423 | GPT-5.4 Mini | Leader |
|---|---|---|---|
| AA Intelligence Index | 30.4 | 24.1 | DeepSeek V4 Pro 0423 |
| Epoch Capabilities Index | 149.1 | 148.7 | DeepSeek V4 Pro 0423 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index41
| Benchmark | DeepSeek V4 Pro 0423 | GPT-5.4 Mini | Leader |
|---|---|---|---|
| AA Agentic Index | 26.3 | 17.9 | DeepSeek V4 Pro 0423 |
| Design Arena: agents building web apps | 1000 | Not measured | Only DeepSeek V4 Pro 0423 measured |
| Design Arena: agents building full-stack apps | 948 | Not measured | Only DeepSeek V4 Pro 0423 measured |
| Design Arena: agents building Godot games | 1059 | Not measured | Only DeepSeek V4 Pro 0423 measured |
| Finance Agent (Vals AI) | 44.1% | 45.4% | GPT-5.4 Mini |
| Tax Agent Bench (Vals AI) | 25.2% | 8.8% | DeepSeek V4 Pro 0423 |
| Legal Research Bench (Vals AI) | 23.1% | 12.5% | DeepSeek V4 Pro 0423 |
| Excel Modeling Benchmark (Vals AI) | 51.6% | 45.4% | DeepSeek V4 Pro 0423 |
| τ²-Bench Telecom | Not measured | 83.3% | Only GPT-5.4 Mini measured |
| DeepResearch Bench | Not measured | 36.3% | Only GPT-5.4 Mini measured |
| Vending-Bench 2 | $3,285 | Not measured | Only DeepSeek V4 Pro 0423 measured |
| Neither model has a result on the other 30 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index71
| Benchmark | DeepSeek V4 Pro 0423 | GPT-5.4 Mini | Leader |
|---|---|---|---|
| GPQA Diamond | 89.4% | 83.1% | DeepSeek V4 Pro 0423 |
| MMMU Pro (Vals AI) | Not measured | 79.3% | Only GPT-5.4 Mini measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 87.5% | Only GPT-5.4 Mini measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 28.1% | Only GPT-5.4 Mini measured |
| GPQA Diamond (Epoch AI run) | 90.9% | 86.9% | DeepSeek V4 Pro 0423 |
| ARC-AGI | Not measured | 63.7% | Only GPT-5.4 Mini measured |
| ARC-AGI-2 | Not measured | 18.9% | Only GPT-5.4 Mini measured |
| Chess puzzles | 19.0% | 23.0% | GPT-5.4 Mini |
| Mystery game puzzles | 17.0% | 11.0% | DeepSeek V4 Pro 0423 |
| LMArena Text: hard prompts | 1461 | 1424 | DeepSeek V4 Pro 0423 |
| LMArena Text: expert | 1463 | 1435 | DeepSeek V4 Pro 0423 |
| LMArena Text: hard prompts in English | 1466 | 1420 | DeepSeek V4 Pro 0423 |
| LMArena Vision: diagrams | Not measured | 1266 | Only GPT-5.4 Mini measured |
| LMArena Vision: homework | Not measured | 1285 | Only GPT-5.4 Mini measured |
| Kagi LLM Benchmark | 53.5% | 37.9% | DeepSeek V4 Pro 0423 |
| Neither model has a result on the other 7 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index33
| Benchmark | DeepSeek V4 Pro 0423 | GPT-5.4 Mini | Leader |
|---|---|---|---|
| AIME | Not measured | 95.6% | Only GPT-5.4 Mini measured |
| OTIS Mock AIME | 96.7% | 88.9% | DeepSeek V4 Pro 0423 |
| FrontierMath, tiers 1 to 3 | 45.3% | 51.2% | GPT-5.4 Mini |
| FrontierMath, tier 4 | 2.4% | 9.8% | GPT-5.4 Mini |
| ProofBench | 16.0% | 21.0% | GPT-5.4 Mini |
| LMArena Text: math | 1443 | 1418 | DeepSeek V4 Pro 0423 |
| LMArena Text: mathematical work | 1455 | 1429 | DeepSeek V4 Pro 0423 |
| Neither model has a result on the other 6 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index90
| Benchmark | DeepSeek V4 Pro 0423 | GPT-5.4 Mini | Leader |
|---|---|---|---|
| MMLU Pro | 87.3% | 84.5% | DeepSeek V4 Pro 0423 |
| LegalBench (Vals AI) | 80.3% | Not measured | Only DeepSeek V4 Pro 0423 measured |
| CaseLaw (Vals AI) | 59.4% | 51.7% | DeepSeek V4 Pro 0423 |
| CorpFin (Vals AI) | 61.4% | 60.9% | DeepSeek V4 Pro 0423 |
| TaxEval (Vals AI) | 72.1% | 71.2% | DeepSeek V4 Pro 0423 |
| MortgageTax (Vals AI) | Not measured | 63.5% | Only GPT-5.4 Mini measured |
| MedCode (Vals AI) | 40.5% | Not measured | Only DeepSeek V4 Pro 0423 measured |
| SimpleQA Verified | 47.0% | 29.4% | DeepSeek V4 Pro 0423 |
| LMArena Text: science | 1470 | 1417 | DeepSeek V4 Pro 0423 |
| LMArena Text: medicine and healthcare | 1466 | 1395 | DeepSeek V4 Pro 0423 |
| LMArena Text: legal and government | 1464 | 1414 | DeepSeek V4 Pro 0423 |
| LMArena Text: business and finance | 1443 | 1418 | DeepSeek V4 Pro 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 Pro 0423 | GPT-5.4 Mini | Leader |
|---|---|---|---|
| Design Arena: websites | 1234 | Not measured | Only DeepSeek V4 Pro 0423 measured |
| Design Arena: UI components | 1219 | Not measured | Only DeepSeek V4 Pro 0423 measured |
| Design Arena: game dev | 1228 | Not measured | Only DeepSeek V4 Pro 0423 measured |
| Design Arena: data viz | 1203 | Not measured | Only DeepSeek V4 Pro 0423 measured |
| Design Arena: 3D | 1253 | Not measured | Only DeepSeek V4 Pro 0423 measured |
| Design Arena: all code categories | 1240 | Not measured | Only DeepSeek V4 Pro 0423 measured |
| Design Arena: SVG | 1139 | Not measured | Only DeepSeek V4 Pro 0423 measured |
| Design Arena: ASCII art | 1149 | Not measured | Only DeepSeek V4 Pro 0423 measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index190
| Benchmark | DeepSeek V4 Pro 0423 | GPT-5.4 Mini | Leader |
|---|---|---|---|
| Public Benefits Bench (Vals AI) | 62.9% | Not measured | Only DeepSeek V4 Pro 0423 measured |
| SAGE (Vals AI) | Not measured | 50.8% | Only GPT-5.4 Mini measured |
| MedScribe (Vals AI) | 75.1% | Not measured | Only DeepSeek V4 Pro 0423 measured |
| Vals Multimodal Index | Not measured | 54.2% | Only GPT-5.4 Mini measured |
| IFBench | Not measured | 73.3% | Only GPT-5.4 Mini measured |
| Long context reasoning (AA-LCR) | Not measured | 77.0% | Only GPT-5.4 Mini measured |
| DTBench | 90.7% | 80.0% | DeepSeek V4 Pro 0423 |
| LMCA | 41.2% | 40.8% | DeepSeek V4 Pro 0423 |
| Surface Evolver Bench | 40.0% | Not measured | Only DeepSeek V4 Pro 0423 measured |
| CL-bench Life | 13.5% | Not measured | Only DeepSeek V4 Pro 0423 measured |
| LMArena Text | 1451 | 1412 | DeepSeek V4 Pro 0423 |
| LMArena Text: instruction following | 1445 | 1405 | DeepSeek V4 Pro 0423 |
| LMArena Text: creative writing | 1446 | 1370 | DeepSeek V4 Pro 0423 |
| LMArena Vision | Not measured | 1245 | Only GPT-5.4 Mini measured |
| LMArena Text: English | 1459 | 1412 | DeepSeek V4 Pro 0423 |
| LMArena Text: non-English | 1439 | 1405 | DeepSeek V4 Pro 0423 |
| LMArena Text: Chinese | 1481 | 1446 | DeepSeek V4 Pro 0423 |
| LMArena Text: German | 1458 | 1408 | DeepSeek V4 Pro 0423 |
| LMArena Text: Japanese | 1446 | 1375 | DeepSeek V4 Pro 0423 |
| LMArena Text: Korean | 1409 | 1370 | DeepSeek V4 Pro 0423 |
| LMArena Text: French | 1473 | 1441 | DeepSeek V4 Pro 0423 |
| LMArena Text: Spanish | 1457 | 1405 | DeepSeek V4 Pro 0423 |
| LMArena Text: Russian | 1453 | 1417 | DeepSeek V4 Pro 0423 |
| LMArena Text: Polish | 1461 | 1415 | DeepSeek V4 Pro 0423 |
| LMArena Text: multi-turn | 1468 | 1429 | DeepSeek V4 Pro 0423 |
| LMArena Text: longer queries | 1458 | 1408 | DeepSeek V4 Pro 0423 |
| LMArena Text: writing and language | 1447 | 1393 | DeepSeek V4 Pro 0423 |
| LMArena Text: entertainment and media | 1431 | 1373 | DeepSeek V4 Pro 0423 |
| LMArena Vision: English | Not measured | 1244 | Only GPT-5.4 Mini measured |
| LMArena Vision: Chinese | Not measured | 1286 | Only GPT-5.4 Mini measured |
| LMArena Vision: reading text | Not measured | 1253 | Only GPT-5.4 Mini measured |
| LMArena Vision: humor | Not measured | 1235 | Only GPT-5.4 Mini measured |
| LMArena Vision: recognizing things | Not measured | 1218 | Only GPT-5.4 Mini measured |
| LMArena Vision: creative writing | Not measured | 1222 | Only GPT-5.4 Mini measured |
| Neither model has a result on the other 12 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | DeepSeek V4 Pro 0423 | GPT-5.4 Mini | 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 Pro 0423 costs less
Repository review
50K input + 3K output tokens
GPT-5.4 Mini costs less
Agent loop
200K input + 10K output tokens
GPT-5.4 Mini 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 Pro 0423 | OpenAI GPT-5.4 Mini |
|---|---|---|
| Maker | DeepSeek | OpenAI |
| Weights | Open weights | No public weights listed |
| Released | April 24, 2026 | March 17, 2026 |
| Context window | 1.05M | 400K |
| Input $/Mtok | $1.358 | $0.75 |
| Output $/Mtok | $2.976 | $4.50 |
| Coding index | 38.7 | 35.8 |
| Independent measurements behind it | 5 | 5 |
| Cost per solved task | $0.57 | $0.70 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is DeepSeek V4 Pro 0423 better than GPT-5.4 Mini for coding?
Pick DeepSeek V4 Pro 0423 for coding: it scores 38.7 on the Vibe Coding Index against 35.8 for GPT-5.4 Mini. Pick GPT-5.4 Mini for work measured by Terminal-Bench 2.1 (Vals AI) or FrontierCode, where it leads.
Which is cheaper, DeepSeek V4 Pro 0423 or GPT-5.4 Mini?
DeepSeek V4 Pro 0423 costs $1.358 per million input tokens and $2.976 per million output tokens; GPT-5.4 Mini costs $0.75 and $4.50. Per solved SWE-bench Verified task, DeepSeek V4 Pro 0423 costs $0.57 and GPT-5.4 Mini $0.70.
Which has the bigger context window, DeepSeek V4 Pro 0423 or GPT-5.4 Mini?
DeepSeek V4 Pro 0423, with 1.05M tokens against 400K.
How many benchmarks is the DeepSeek V4 Pro 0423 vs GPT-5.4 Mini comparison based on?
65 benchmarks have a result for both models as of October 22, 2026. DeepSeek V4 Pro 0423's coding index rests on 5 independent benchmarks and GPT-5.4 Mini's on 5. Where only one model has a result, the page says so instead of naming a winner.