R1 0528 vs DeepSeek V4 Pro 0813
Updated October 21, 2026. 35 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick R1 0528 for coding: it scores 71.4 on the Vibe Coding Index against 54.6 for DeepSeek V4 Pro 0813.
Pick DeepSeek V4 Pro 0813 when output tokens cost 1.1x less, or when the context window is larger, 1.05M against 164K tokens.
- Shared results
- 35
- R1 0528 only
- 24
- DeepSeek V4 Pro 0813 only
- 43
- Like-for-like categories
- 6 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
R1 0528
R1 0528 scores 71.4 against 54.6.
One benchmark behind each score
Intelligence
AA Intelligence Index
DeepSeek V4 Pro 0813
DeepSeek V4 Pro 0813 leads, 36.0 against 13.1.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only DeepSeek V4 Pro 0813 has a AA Agentic Index result, 41.3.
Directional only
Reasoning
GPQA Diamond
No call
Only DeepSeek V4 Pro 0813 has a GPQA Diamond result, 92.4%.
Directional only
Knowledge
MMLU Pro
No call
Only DeepSeek V4 Pro 0813 has a MMLU Pro result, 87.0%.
Directional only
Web design
Design Arena: websites
No call
Only R1 0528 has a Design Arena: websites result, 1149.
Directional only
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 164K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
R1 0528
R1 0528 $0.0016, DeepSeek V4 Pro 0813 $0.0016 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only DeepSeek V4 Pro 0813 has the number, $0.10.
Directional only
At a glance
- Coding index
- R1 0528 71.4 from 1 benchmark, DeepSeek V4 Pro 0813 54.6 from 1 benchmark.
- Widest category
- Reasoning, 25.8 points apart on average over 8 shared benchmarks.
- Widest single gap
- ARC-AGI: R1 0528 21.2% against DeepSeek V4 Pro 0813 90.5%, 69.3 points apart on a 0 to 100 scale.
- Output price
- R1 0528 $2.15 against DeepSeek V4 Pro 0813 $1.98 per million output tokens, 1.1x apart.
- Context window
- R1 0528 takes 164K tokens, DeepSeek V4 Pro 0813 1.05M.
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 | R1 0528 | Bars | DeepSeek V4 Pro 0813 | Ties |
|---|---|---|---|---|
| Coding | 0 | 4 | ||
| Intelligence | 0 | 1 | ||
| Reasoning | 0 | 8 | ||
| Math | 0 | 3 | ||
| Knowledge | 0 | 4 | ||
| General | 0 | 15 | ||
| All shared boards | 0 | 35 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index04
| Benchmark | R1 0528 | DeepSeek V4 Pro 0813 | Leader |
|---|---|---|---|
| Aider polyglot | 71.4% | Not measured | Only R1 0528 measured |
| LMArena WebDev | Not measured | 1582 | Only DeepSeek V4 Pro 0813 measured |
| AA Coding Index | Not measured | 68.8 | Only DeepSeek V4 Pro 0813 measured |
| LiveCodeBench (Vals AI) | Not measured | 87.5% | Only DeepSeek V4 Pro 0813 measured |
| SWE-bench Verified (Vals AI) | Not measured | 96.4% | Only DeepSeek V4 Pro 0813 measured |
| Terminal-Bench 4 (Vals AI) | Not measured | 14.1% | Only DeepSeek V4 Pro 0813 measured |
| Vibe Code Bench (Vals AI) | Not measured | 82.3% | Only DeepSeek V4 Pro 0813 measured |
| Code migration (Vals AI) | Not measured | 41.5% | Only DeepSeek V4 Pro 0813 measured |
| ProgramBench (Vals AI) | Not measured | 0.0% | Only DeepSeek V4 Pro 0813 measured |
| IOI (Vals AI) | Not measured | 51.6% | Only DeepSeek V4 Pro 0813 measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 54.7% | Only DeepSeek V4 Pro 0813 measured |
| Vibe Code Bench 1-100 (Vals AI) | Not measured | 17.5% | Only DeepSeek V4 Pro 0813 measured |
| SkillsBench (Vals AI) | Not measured | 53.8% | Only DeepSeek V4 Pro 0813 measured |
| CyberBench (Vals AI) | Not measured | 72.9% | Only DeepSeek V4 Pro 0813 measured |
| LiveCodeBench (Artificial Analysis run) | 77.0% | Not measured | Only R1 0528 measured |
| SciCode | Not measured | 51.0% | Only DeepSeek V4 Pro 0813 measured |
| Terminal-Bench Hard (Artificial Analysis run) | 15.9% | Not measured | Only R1 0528 measured |
| FrontierCode | Not measured | 28.5% | Only DeepSeek V4 Pro 0813 measured |
| WeirdML | 41.6% | 66.2% | DeepSeek V4 Pro 0813 |
| ALE-Bench | 804.1 | 1403.2 | DeepSeek V4 Pro 0813 |
| LMArena Text: coding | 1427 | 1469 | DeepSeek V4 Pro 0813 |
| LMArena Text: software and IT | 1435 | 1462 | DeepSeek V4 Pro 0813 |
| LMArena WebDev: React | Not measured | 1588 | Only DeepSeek V4 Pro 0813 measured |
| LMArena WebDev: HTML | Not measured | 1566 | Only DeepSeek V4 Pro 0813 measured |
| Neither model has a result on the other 14 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | R1 0528 | DeepSeek V4 Pro 0813 | Leader |
|---|---|---|---|
| AA Intelligence Index | 13.1 | 36.0 | DeepSeek V4 Pro 0813 |
| Epoch Capabilities Index | Not measured | 155.6 | Only DeepSeek V4 Pro 0813 measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index12 boards, none shared
| Benchmark | R1 0528 | DeepSeek V4 Pro 0813 | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 41.3 | Only DeepSeek V4 Pro 0813 measured |
| SREBench (Vals AI) | Not measured | 1.9% | Only DeepSeek V4 Pro 0813 measured |
| Finance Agent (Vals AI) | Not measured | 50.4% | Only DeepSeek V4 Pro 0813 measured |
| Tax Agent Bench (Vals AI) | Not measured | 26.8% | Only DeepSeek V4 Pro 0813 measured |
| Legal Research Bench (Vals AI) | Not measured | 40.9% | Only DeepSeek V4 Pro 0813 measured |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 10.8% | Only DeepSeek V4 Pro 0813 measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 52.8% | Only DeepSeek V4 Pro 0813 measured |
| Terminal-Bench-Science (Vals AI) | Not measured | 4.3% | Only DeepSeek V4 Pro 0813 measured |
| τ²-Bench Telecom | 36.5% | Not measured | Only R1 0528 measured |
| APEX-Agents | Not measured | 47.3% | Only DeepSeek V4 Pro 0813 measured |
| METR time horizons | 53.8% | Not measured | Only R1 0528 measured |
| DeepResearch Bench | 35.1% | Not measured | Only R1 0528 measured |
| Neither model has a result on the other 27 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index08
| Benchmark | R1 0528 | DeepSeek V4 Pro 0813 | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 92.4% | Only DeepSeek V4 Pro 0813 measured |
| GPQA Diamond (Artificial Analysis run) | 81.3% | 92.8% | DeepSeek V4 Pro 0813 |
| Humanity's Last Exam (Artificial Analysis run) | 15.8% | 41.0% | DeepSeek V4 Pro 0813 |
| GPQA Diamond (Epoch AI run) | 76.3% | 91.7% | DeepSeek V4 Pro 0813 |
| ARC-AGI | 21.2% | 90.5% | DeepSeek V4 Pro 0813 |
| ARC-AGI-2 | 1.1% | 61.3% | DeepSeek V4 Pro 0813 |
| SimpleBench | 40.8% | Not measured | Only R1 0528 measured |
| Chess puzzles | Not measured | 46.0% | Only DeepSeek V4 Pro 0813 measured |
| Mystery game puzzles | Not measured | 43.0% | Only DeepSeek V4 Pro 0813 measured |
| LMArena Text: hard prompts | 1415 | 1458 | DeepSeek V4 Pro 0813 |
| LMArena Text: expert | 1394 | 1459 | DeepSeek V4 Pro 0813 |
| LMArena Text: hard prompts in English | 1422 | 1463 | DeepSeek V4 Pro 0813 |
| Neither model has a result on the other 9 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | R1 0528 | DeepSeek V4 Pro 0813 | Leader |
|---|---|---|---|
| AA Math Index | 76.0 | Not measured | Only R1 0528 measured |
| AIME 2025 (Artificial Analysis run) | 76.0% | Not measured | Only R1 0528 measured |
| OTIS Mock AIME | 66.4% | 98.6% | DeepSeek V4 Pro 0813 |
| FrontierMath, tiers 1 to 3 | Not measured | 64.6% | Only DeepSeek V4 Pro 0813 measured |
| FrontierMath, tier 4 | Not measured | 26.8% | Only DeepSeek V4 Pro 0813 measured |
| ProofBench | Not measured | 50.0% | Only DeepSeek V4 Pro 0813 measured |
| MATH level 5 | 96.6% | Not measured | Only R1 0528 measured |
| LMArena Text: math | 1400 | 1441 | DeepSeek V4 Pro 0813 |
| LMArena Text: mathematical work | 1415 | 1443 | DeepSeek V4 Pro 0813 |
| Neither model has a result on the other 4 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | R1 0528 | DeepSeek V4 Pro 0813 | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 87.0% | Only DeepSeek V4 Pro 0813 measured |
| LegalBench (Vals AI) | Not measured | 82.4% | Only DeepSeek V4 Pro 0813 measured |
| CorpFin (Vals AI) | Not measured | 65.4% | Only DeepSeek V4 Pro 0813 measured |
| TaxEval (Vals AI) | Not measured | 73.1% | Only DeepSeek V4 Pro 0813 measured |
| MedCode (Vals AI) | Not measured | 42.5% | Only DeepSeek V4 Pro 0813 measured |
| MMLU Pro (Artificial Analysis run) | 84.9% | Not measured | Only R1 0528 measured |
| SimpleQA Verified | Not measured | 52.9% | Only DeepSeek V4 Pro 0813 measured |
| LMArena Text: science | 1430 | 1457 | DeepSeek V4 Pro 0813 |
| LMArena Text: medicine and healthcare | 1445 | 1446 | DeepSeek V4 Pro 0813 |
| LMArena Text: legal and government | 1419 | 1459 | DeepSeek V4 Pro 0813 |
| LMArena Text: business and finance | 1402 | 1442 | DeepSeek V4 Pro 0813 |
| Neither model has a result on the other 6 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
| Benchmark | R1 0528 | DeepSeek V4 Pro 0813 | Leader |
|---|---|---|---|
| Design Arena: websites | 1149 | Not measured | Only R1 0528 measured |
| Design Arena: UI components | 1102 | Not measured | Only R1 0528 measured |
| Design Arena: game dev | 1098 | Not measured | Only R1 0528 measured |
| Design Arena: data viz | 1182 | Not measured | Only R1 0528 measured |
| Design Arena: 3D | 1111 | Not measured | Only R1 0528 measured |
| Design Arena: all code categories | 1139 | Not measured | Only R1 0528 measured |
| Design Arena: SVG | 1038 | Not measured | Only R1 0528 measured |
| Neither model has a result on the other 2 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index015
| Benchmark | R1 0528 | DeepSeek V4 Pro 0813 | Leader |
|---|---|---|---|
| Vals Index | Not measured | 53.0% | Only DeepSeek V4 Pro 0813 measured |
| MedScribe (Vals AI) | Not measured | 80.2% | Only DeepSeek V4 Pro 0813 measured |
| IFBench | 39.6% | Not measured | Only R1 0528 measured |
| Long context reasoning (AA-LCR) | 55.7% | 80.3% | DeepSeek V4 Pro 0813 |
| DTBench | Not measured | 93.9% | Only DeepSeek V4 Pro 0813 measured |
| LMCA | Not measured | 45.5% | Only DeepSeek V4 Pro 0813 measured |
| Fiction.LiveBench | 75.0% | Not measured | Only R1 0528 measured |
| Creative writing (Lech Mazur) | 81.9% | Not measured | Only R1 0528 measured |
| LMArena Text | 1428 | 1446 | DeepSeek V4 Pro 0813 |
| LMArena Text: instruction following | 1382 | 1448 | DeepSeek V4 Pro 0813 |
| LMArena Text: creative writing | 1405 | 1439 | DeepSeek V4 Pro 0813 |
| LMArena Text: English | 1437 | 1457 | DeepSeek V4 Pro 0813 |
| LMArena Text: non-English | 1412 | 1431 | DeepSeek V4 Pro 0813 |
| LMArena Text: Chinese | 1442 | 1481 | DeepSeek V4 Pro 0813 |
| LMArena Text: German | 1404 | Not measured | Only R1 0528 measured |
| LMArena Text: Japanese | 1391 | Not measured | Only R1 0528 measured |
| LMArena Text: Korean | 1360 | 1449 | DeepSeek V4 Pro 0813 |
| LMArena Text: French | 1417 | 1446 | DeepSeek V4 Pro 0813 |
| LMArena Text: Spanish | 1411 | 1435 | DeepSeek V4 Pro 0813 |
| LMArena Text: Russian | 1423 | 1448 | DeepSeek V4 Pro 0813 |
| LMArena Text: Polish | 1428 | Not measured | Only R1 0528 measured |
| LMArena Text: multi-turn | 1405 | 1454 | DeepSeek V4 Pro 0813 |
| LMArena Text: longer queries | 1391 | 1458 | DeepSeek V4 Pro 0813 |
| LMArena Text: writing and language | 1402 | 1443 | DeepSeek V4 Pro 0813 |
| LMArena Text: entertainment and media | 1400 | 1424 | DeepSeek V4 Pro 0813 |
| Neither model has a result on the other 21 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | R1 0528 | DeepSeek V4 Pro 0813 | 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
R1 0528 costs less
Repository review
50K input + 3K output tokens
R1 0528 costs less
Agent loop
200K input + 10K output tokens
R1 0528 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 R1 0528 | DeepSeek V4 Pro 0813 |
|---|---|---|
| Maker | DeepSeek | DeepSeek |
| Weights | Open weights | Open weights |
| Released | May 28, 2025 | August 12, 2026 |
| Context window | 164K | 1.05M |
| Input $/Mtok | $0.50 | $0.66 |
| Output $/Mtok | $2.15 | $1.98 |
| Coding index | 71.4 | 54.6 |
| Independent measurements behind it | 1 | 1 |
| Cost per solved task | Not computable | $0.10 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is R1 0528 better than DeepSeek V4 Pro 0813 for coding?
Pick R1 0528 for coding: it scores 71.4 on the Vibe Coding Index against 54.6 for DeepSeek V4 Pro 0813. Pick DeepSeek V4 Pro 0813 when output tokens cost 1.1x less, or when the context window is larger, 1.05M against 164K tokens.
Which is cheaper, R1 0528 or DeepSeek V4 Pro 0813?
R1 0528 costs $0.50 per million input tokens and $2.15 per million output tokens; DeepSeek V4 Pro 0813 costs $0.66 and $1.98. Cost per solved task is known for DeepSeek V4 Pro 0813 only.
Which has the bigger context window, R1 0528 or DeepSeek V4 Pro 0813?
DeepSeek V4 Pro 0813, with 1.05M tokens against 164K.
How many benchmarks is the R1 0528 vs DeepSeek V4 Pro 0813 comparison based on?
35 benchmarks have a result for both models as of October 21, 2026. R1 0528's coding index rests on 1 independent benchmark and DeepSeek V4 Pro 0813's on 1. Where only one model has a result, the page says so instead of naming a winner.