DeepSeek V4 Pro 0813 vs GPT-5.4 Mini
Updated October 21, 2026. 66 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick DeepSeek V4 Pro 0813 for coding: it scores 54.6 on the Vibe Coding Index against 28.2 for GPT-5.4 Mini.
Pick GPT-5.4 Mini when the benchmark that matters is SciCode, where it leads.
- Shared results
- 66
- DeepSeek V4 Pro 0813 only
- 12
- GPT-5.4 Mini only
- 22
- Like-for-like categories
- 7 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.
Coding
Vibe Coding Index, four public coding benchmarks
DeepSeek V4 Pro 0813
DeepSeek V4 Pro 0813 scores 54.6 against 28.2.
One benchmark behind each score
Intelligence
AA Intelligence Index
DeepSeek V4 Pro 0813
DeepSeek V4 Pro 0813 leads, 36.0 against 24.1.
Same board, both measured
Agentic work
AA Agentic Index
DeepSeek V4 Pro 0813
DeepSeek V4 Pro 0813 leads, 41.3 against 17.9.
Same board, both measured
Reasoning
GPQA Diamond
DeepSeek V4 Pro 0813
DeepSeek V4 Pro 0813 leads, 92.4% 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 0813
DeepSeek V4 Pro 0813 leads, 87.0% against 84.5%.
Same board, both measured
General
Vals Index
No call
Only DeepSeek V4 Pro 0813 has a Vals Index result, 53.0%.
Directional only
Long documents
Listed context window
DeepSeek V4 Pro 0813
DeepSeek V4 Pro 0813 takes 1.05M tokens against 400K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
DeepSeek V4 Pro 0813
DeepSeek V4 Pro 0813 $0.0016, GPT-5.4 Mini $0.0030 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
DeepSeek V4 Pro 0813
DeepSeek V4 Pro 0813 $0.10, GPT-5.4 Mini $0.70.
Published attempt cost and pass rate
At a glance
- Coding index
- DeepSeek V4 Pro 0813 54.6 from 1 benchmark, GPT-5.4 Mini 28.2 from 1 benchmark.
- Widest category
- Agentic work, 16.4 points apart on average over 5 shared benchmarks.
- Widest single gap
- ARC-AGI-2: DeepSeek V4 Pro 0813 61.3% against GPT-5.4 Mini 18.9%, 42.4 points apart on a 0 to 100 scale.
- Output price
- DeepSeek V4 Pro 0813 $1.98 against GPT-5.4 Mini $4.50 per million output tokens, 2.3x apart.
- Context window
- DeepSeek V4 Pro 0813 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 0813 | Bars | GPT-5.4 Mini | Ties |
|---|---|---|---|---|
| Coding | 14 | 1 | 2 ties | |
| Intelligence | 2 | 0 | ||
| Agentic work | 5 | 0 | ||
| Reasoning | 11 | 0 | ||
| Math | 6 | 0 | ||
| Knowledge | 8 | 0 | ||
| General | 17 | 0 | ||
| All shared boards | 63 | 1 | 2 ties |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index141
| Benchmark | DeepSeek V4 Pro 0813 | GPT-5.4 Mini | Leader |
|---|---|---|---|
| LMArena WebDev | 1582 | 1397 | DeepSeek V4 Pro 0813 |
| AA Coding Index | 68.8 | 56.1 | DeepSeek V4 Pro 0813 |
| LiveCodeBench (Vals AI) | 87.5% | 81.5% | DeepSeek V4 Pro 0813 |
| SWE-bench Verified (Vals AI) | 96.4% | 73.0% | DeepSeek V4 Pro 0813 |
| Terminal-Bench 4 (Vals AI) | 14.1% | 2.5% | DeepSeek V4 Pro 0813 |
| Vibe Code Bench (Vals AI) | 82.3% | 48.0% | DeepSeek V4 Pro 0813 |
| Code migration (Vals AI) | 41.5% | 12.9% | DeepSeek V4 Pro 0813 |
| ProgramBench (Vals AI) | 0.0% | 0.0% | Tie |
| IOI (Vals AI) | 51.6% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| Terminal-Bench 2.1 (Vals AI) | 54.7% | 54.7% | Tie |
| Vibe Code Bench 1-100 (Vals AI) | 17.5% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| SkillsBench (Vals AI) | 53.8% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| CyberBench (Vals AI) | 72.9% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| SciCode | 51.0% | 52.1% | GPT-5.4 Mini |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 52.3% | Only GPT-5.4 Mini measured |
| FrontierCode | 28.5% | 27.0% | DeepSeek V4 Pro 0813 |
| WeirdML | 66.2% | 60.3% | DeepSeek V4 Pro 0813 |
| ALE-Bench | 1403.2 | 1188.6 | DeepSeek V4 Pro 0813 |
| LMArena Text: coding | 1469 | 1438 | DeepSeek V4 Pro 0813 |
| LMArena Text: software and IT | 1462 | 1436 | DeepSeek V4 Pro 0813 |
| LMArena WebDev: React | 1588 | 1386 | DeepSeek V4 Pro 0813 |
| LMArena WebDev: HTML | 1566 | 1419 | DeepSeek V4 Pro 0813 |
| Neither model has a result on the other 16 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | DeepSeek V4 Pro 0813 | GPT-5.4 Mini | Leader |
|---|---|---|---|
| AA Intelligence Index | 36.0 | 24.1 | DeepSeek V4 Pro 0813 |
| Epoch Capabilities Index | 155.6 | 148.7 | DeepSeek V4 Pro 0813 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | DeepSeek V4 Pro 0813 | GPT-5.4 Mini | Leader |
|---|---|---|---|
| AA Agentic Index | 41.3 | 17.9 | DeepSeek V4 Pro 0813 |
| SREBench (Vals AI) | 1.9% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| Finance Agent (Vals AI) | 50.4% | 45.4% | DeepSeek V4 Pro 0813 |
| Tax Agent Bench (Vals AI) | 26.8% | 8.8% | DeepSeek V4 Pro 0813 |
| Legal Research Bench (Vals AI) | 40.9% | 12.5% | DeepSeek V4 Pro 0813 |
| Harvey's Legal Agent Benchmark (Vals AI) | 10.8% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| Excel Modeling Benchmark (Vals AI) | 52.8% | 45.4% | DeepSeek V4 Pro 0813 |
| Terminal-Bench-Science (Vals AI) | 4.3% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| τ²-Bench Telecom | Not measured | 83.3% | Only GPT-5.4 Mini measured |
| APEX-Agents | 47.3% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| DeepResearch Bench | Not measured | 36.3% | Only GPT-5.4 Mini measured |
| Neither model has a result on the other 28 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index110
| Benchmark | DeepSeek V4 Pro 0813 | GPT-5.4 Mini | Leader |
|---|---|---|---|
| GPQA Diamond | 92.4% | 83.1% | DeepSeek V4 Pro 0813 |
| MMMU Pro (Vals AI) | Not measured | 79.3% | Only GPT-5.4 Mini measured |
| GPQA Diamond (Artificial Analysis run) | 92.8% | 87.5% | DeepSeek V4 Pro 0813 |
| Humanity's Last Exam (Artificial Analysis run) | 41.0% | 28.1% | DeepSeek V4 Pro 0813 |
| GPQA Diamond (Epoch AI run) | 91.7% | 86.9% | DeepSeek V4 Pro 0813 |
| ARC-AGI | 90.5% | 63.7% | DeepSeek V4 Pro 0813 |
| ARC-AGI-2 | 61.3% | 18.9% | DeepSeek V4 Pro 0813 |
| Chess puzzles | 46.0% | 23.0% | DeepSeek V4 Pro 0813 |
| Mystery game puzzles | 43.0% | 11.0% | DeepSeek V4 Pro 0813 |
| LMArena Text: hard prompts | 1458 | 1424 | DeepSeek V4 Pro 0813 |
| LMArena Text: expert | 1459 | 1435 | DeepSeek V4 Pro 0813 |
| LMArena Text: hard prompts in English | 1463 | 1420 | DeepSeek V4 Pro 0813 |
| LMArena Vision: diagrams | Not measured | 1266 | Only GPT-5.4 Mini measured |
| LMArena Vision: homework | Not measured | 1285 | Only GPT-5.4 Mini measured |
| Neither model has a result on the other 7 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | DeepSeek V4 Pro 0813 | GPT-5.4 Mini | Leader |
|---|---|---|---|
| AIME | Not measured | 95.6% | Only GPT-5.4 Mini measured |
| OTIS Mock AIME | 98.6% | 88.9% | DeepSeek V4 Pro 0813 |
| FrontierMath, tiers 1 to 3 | 64.6% | 51.2% | DeepSeek V4 Pro 0813 |
| FrontierMath, tier 4 | 26.8% | 9.8% | DeepSeek V4 Pro 0813 |
| ProofBench | 50.0% | 21.0% | DeepSeek V4 Pro 0813 |
| LMArena Text: math | 1441 | 1418 | DeepSeek V4 Pro 0813 |
| LMArena Text: mathematical work | 1443 | 1429 | DeepSeek V4 Pro 0813 |
| Neither model has a result on the other 6 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index80
| Benchmark | DeepSeek V4 Pro 0813 | GPT-5.4 Mini | Leader |
|---|---|---|---|
| MMLU Pro | 87.0% | 84.5% | DeepSeek V4 Pro 0813 |
| LegalBench (Vals AI) | 82.4% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| CaseLaw (Vals AI) | Not measured | 51.7% | Only GPT-5.4 Mini measured |
| CorpFin (Vals AI) | 65.4% | 60.9% | DeepSeek V4 Pro 0813 |
| TaxEval (Vals AI) | 73.1% | 71.2% | DeepSeek V4 Pro 0813 |
| MortgageTax (Vals AI) | Not measured | 63.5% | Only GPT-5.4 Mini measured |
| MedCode (Vals AI) | 42.5% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| SimpleQA Verified | 52.9% | 29.4% | DeepSeek V4 Pro 0813 |
| LMArena Text: science | 1457 | 1417 | DeepSeek V4 Pro 0813 |
| LMArena Text: medicine and healthcare | 1446 | 1395 | DeepSeek V4 Pro 0813 |
| LMArena Text: legal and government | 1459 | 1414 | DeepSeek V4 Pro 0813 |
| LMArena Text: business and finance | 1442 | 1418 | DeepSeek V4 Pro 0813 |
| Neither model has a result on the other 5 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | DeepSeek V4 Pro 0813 | GPT-5.4 Mini | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index170
| Benchmark | DeepSeek V4 Pro 0813 | GPT-5.4 Mini | Leader |
|---|---|---|---|
| Vals Index | 53.0% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| SAGE (Vals AI) | Not measured | 50.8% | Only GPT-5.4 Mini measured |
| MedScribe (Vals AI) | 80.2% | Not measured | Only DeepSeek V4 Pro 0813 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) | 80.3% | 77.0% | DeepSeek V4 Pro 0813 |
| DTBench | 93.9% | 80.0% | DeepSeek V4 Pro 0813 |
| LMCA | 45.5% | 40.8% | DeepSeek V4 Pro 0813 |
| LMArena Text | 1446 | 1412 | DeepSeek V4 Pro 0813 |
| LMArena Text: instruction following | 1448 | 1405 | DeepSeek V4 Pro 0813 |
| LMArena Text: creative writing | 1439 | 1370 | DeepSeek V4 Pro 0813 |
| LMArena Vision | Not measured | 1245 | Only GPT-5.4 Mini measured |
| LMArena Text: English | 1457 | 1412 | DeepSeek V4 Pro 0813 |
| LMArena Text: non-English | 1431 | 1405 | DeepSeek V4 Pro 0813 |
| LMArena Text: Chinese | 1481 | 1446 | DeepSeek V4 Pro 0813 |
| LMArena Text: German | Not measured | 1408 | Only GPT-5.4 Mini measured |
| LMArena Text: Japanese | Not measured | 1375 | Only GPT-5.4 Mini measured |
| LMArena Text: Korean | 1449 | 1370 | DeepSeek V4 Pro 0813 |
| LMArena Text: French | 1446 | 1441 | DeepSeek V4 Pro 0813 |
| LMArena Text: Spanish | 1435 | 1405 | DeepSeek V4 Pro 0813 |
| LMArena Text: Russian | 1448 | 1417 | DeepSeek V4 Pro 0813 |
| LMArena Text: Polish | Not measured | 1415 | Only GPT-5.4 Mini measured |
| LMArena Text: multi-turn | 1454 | 1429 | DeepSeek V4 Pro 0813 |
| LMArena Text: longer queries | 1458 | 1408 | DeepSeek V4 Pro 0813 |
| LMArena Text: writing and language | 1443 | 1393 | DeepSeek V4 Pro 0813 |
| LMArena Text: entertainment and media | 1424 | 1373 | DeepSeek V4 Pro 0813 |
| 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 14 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | DeepSeek V4 Pro 0813 | 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 0813 costs less
Repository review
50K input + 3K output tokens
DeepSeek V4 Pro 0813 costs less
Agent loop
200K input + 10K output tokens
DeepSeek V4 Pro 0813 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 0813 | OpenAI GPT-5.4 Mini |
|---|---|---|
| Maker | DeepSeek | OpenAI |
| Weights | Open weights | No public weights listed |
| Released | August 12, 2026 | March 17, 2026 |
| Context window | 1.05M | 400K |
| Input $/Mtok | $0.66 | $0.75 |
| Output $/Mtok | $1.98 | $4.50 |
| Coding index | 54.6 | 28.2 |
| Independent measurements behind it | 1 | 1 |
| Cost per solved task | $0.10 | $0.70 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is DeepSeek V4 Pro 0813 better than GPT-5.4 Mini for coding?
Pick DeepSeek V4 Pro 0813 for coding: it scores 54.6 on the Vibe Coding Index against 28.2 for GPT-5.4 Mini. Pick GPT-5.4 Mini when the benchmark that matters is SciCode, where it leads.
Which is cheaper, DeepSeek V4 Pro 0813 or GPT-5.4 Mini?
DeepSeek V4 Pro 0813 costs $0.66 per million input tokens and $1.98 per million output tokens; GPT-5.4 Mini costs $0.75 and $4.50. Per solved SWE-bench Verified task, DeepSeek V4 Pro 0813 costs $0.10 and GPT-5.4 Mini $0.70.
Which has the bigger context window, DeepSeek V4 Pro 0813 or GPT-5.4 Mini?
DeepSeek V4 Pro 0813, with 1.05M tokens against 400K.
How many benchmarks is the DeepSeek V4 Pro 0813 vs GPT-5.4 Mini comparison based on?
66 benchmarks have a result for both models as of October 21, 2026. DeepSeek V4 Pro 0813's coding index rests on 1 independent benchmark and GPT-5.4 Mini's on 1. Where only one model has a result, the page says so instead of naming a winner.