R1 0528 vs DeepSeek V4.1 Flash
Updated October 21, 2026. 43 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
vs boards won of 43 shared
Decision reading
Pick DeepSeek V4.1 Flash for coding: it scores 77.2 on the Vibe Coding Index against 71.4 for R1 0528.
R1 0528 is neither cheaper nor larger in context, and leads no benchmark both models were measured on.
Model AR1 0528DeepSeek71.4/1001 independent benchmarkNo cost per solved taskModel BDeepSeek V4.1 FlashDeepSeek77.2/1002 independent benchmarksNo cost per solved task
- Shared results
- 43
- R1 0528 only
- 16
- DeepSeek V4.1 Flash only
- 58
- 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 V4.1 Flash
DeepSeek V4.1 Flash scores 77.2 against 71.4.
1 and 2 benchmarks behind the scores
Intelligence
AA Intelligence Index
DeepSeek V4.1 Flash
DeepSeek V4.1 Flash leads, 24.7 against 13.1.
Same board, both measured
Web design
Design Arena: websites
DeepSeek V4.1 Flash
DeepSeek V4.1 Flash leads, 1309 against 1149.
Same board, both measured
Long documents
Listed context window
DeepSeek V4.1 Flash
DeepSeek V4.1 Flash takes 1.05M tokens against 164K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
DeepSeek V4.1 Flash
R1 0528 $0.0016, DeepSeek V4.1 Flash $0.0003 per turn.
List prices
At a glance
- Coding index
- R1 0528 71.4 from 1 benchmark, DeepSeek V4.1 Flash 77.2 from 2 benchmarks.
- Widest category
- Reasoning, 31.7 points apart on average over 7 shared benchmarks.
- Widest single gap
- ARC-AGI: R1 0528 21.2% against DeepSeek V4.1 Flash 94.5%, 73.3 points apart on a 0 to 100 scale.
- Output price
- R1 0528 $2.15 against DeepSeek V4.1 Flash $0.525 per million output tokens, 4.1x apart.
- Context window
- R1 0528 takes 164K tokens, DeepSeek V4.1 Flash 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 V4.1 Flash | Ties |
|---|---|---|---|---|
| Coding | 0 | 3 | ||
| Intelligence | 0 | 1 | ||
| Reasoning | 0 | 7 | ||
| Math | 0 | 3 | ||
| Knowledge | 0 | 4 | ||
| Web design | 0 | 7 | ||
| General | 0 | 18 | ||
| All shared boards | 0 | 43 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index03
| Benchmark | R1 0528 | DeepSeek V4.1 Flash | Leader |
|---|---|---|---|
| Aider polyglot | 71.4% | Not measured | Only R1 0528 measured |
| LiveBench coding | Not measured | 90.2% | Only DeepSeek V4.1 Flash measured |
| LMArena WebDev | Not measured | 1618 | Only DeepSeek V4.1 Flash measured |
| Terminal-Bench 4 (Vals AI) | Not measured | 19.7% | Only DeepSeek V4.1 Flash measured |
| Vibe Code Bench (Vals AI) | Not measured | 84.7% | Only DeepSeek V4.1 Flash measured |
| Code migration (Vals AI) | Not measured | 45.6% | Only DeepSeek V4.1 Flash measured |
| ProgramBench (Vals AI) | Not measured | 0.5% | Only DeepSeek V4.1 Flash measured |
| IOI (Vals AI) | Not measured | 40.3% | Only DeepSeek V4.1 Flash measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 74.5% | Only DeepSeek V4.1 Flash measured |
| SWE-bench Multimodal (Vals AI) | Not measured | 46.5% | Only DeepSeek V4.1 Flash measured |
| Vibe Code Bench 1-100 (Vals AI) | Not measured | 16.4% | Only DeepSeek V4.1 Flash measured |
| SkillsBench (Vals AI) | Not measured | 69.8% | Only DeepSeek V4.1 Flash measured |
| CyberBench (Vals AI) | Not measured | 73.7% | Only DeepSeek V4.1 Flash measured |
| LiveCodeBench (Artificial Analysis run) | 77.0% | Not measured | Only R1 0528 measured |
| SciCode | Not measured | 51.9% | Only DeepSeek V4.1 Flash measured |
| Terminal-Bench Hard (Artificial Analysis run) | 15.9% | Not measured | Only R1 0528 measured |
| FrontierCode | Not measured | 43.9% | Only DeepSeek V4.1 Flash measured |
| WeirdML | 41.6% | Not measured | Only R1 0528 measured |
| ALE-Bench | 804.1 | 1092.3 | DeepSeek V4.1 Flash |
| LMArena Text: coding | 1427 | 1502 | DeepSeek V4.1 Flash |
| LMArena Text: software and IT | 1435 | 1496 | DeepSeek V4.1 Flash |
| LMArena WebDev: React | Not measured | 1628 | Only DeepSeek V4.1 Flash measured |
| LMArena WebDev: HTML | Not measured | 1612 | Only DeepSeek V4.1 Flash measured |
| LMArena WebDev: from an image | Not measured | 1606 | Only DeepSeek V4.1 Flash 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 V4.1 Flash | Leader |
|---|---|---|---|
| AA Intelligence Index | 13.1 | 24.7 | DeepSeek V4.1 Flash |
| Epoch Capabilities Index | Not measured | 155.9 | Only DeepSeek V4.1 Flash measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index15 boards, none shared
| Benchmark | R1 0528 | DeepSeek V4.1 Flash | Leader |
|---|---|---|---|
| LiveBench research | Not measured | 86.8% | Only DeepSeek V4.1 Flash measured |
| LiveBench browser | Not measured | 84.0% | Only DeepSeek V4.1 Flash measured |
| LiveBench long agentic | Not measured | 40.1% | Only DeepSeek V4.1 Flash measured |
| SREBench (Vals AI) | Not measured | 0.8% | Only DeepSeek V4.1 Flash measured |
| Finance Agent (Vals AI) | Not measured | 53.5% | Only DeepSeek V4.1 Flash measured |
| Tax Agent Bench (Vals AI) | Not measured | 26.6% | Only DeepSeek V4.1 Flash measured |
| Legal Research Bench (Vals AI) | Not measured | 41.4% | Only DeepSeek V4.1 Flash measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 57.2% | Only DeepSeek V4.1 Flash measured |
| BioMysteryBench (Vals AI) | Not measured | 67.8% | Only DeepSeek V4.1 Flash measured |
| Terminal-Bench-Science (Vals AI) | Not measured | 0.0% | Only DeepSeek V4.1 Flash measured |
| Vals Science Index | Not measured | 29.6% | Only DeepSeek V4.1 Flash measured |
| τ²-Bench Telecom | 36.5% | Not measured | Only R1 0528 measured |
| APEX-Agents | Not measured | 39.5% | Only DeepSeek V4.1 Flash 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 24 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index07
| Benchmark | R1 0528 | DeepSeek V4.1 Flash | Leader |
|---|---|---|---|
| LiveBench reasoning | Not measured | 86.7% | Only DeepSeek V4.1 Flash measured |
| MysteryMechanism (Vals AI) | Not measured | 21.2% | Only DeepSeek V4.1 Flash measured |
| GPQA Diamond (Artificial Analysis run) | 81.3% | Not measured | Only R1 0528 measured |
| Humanity's Last Exam (Artificial Analysis run) | 15.8% | 39.2% | DeepSeek V4.1 Flash |
| GPQA Diamond (Epoch AI run) | 76.3% | 89.8% | DeepSeek V4.1 Flash |
| ARC-AGI | 21.2% | 94.5% | DeepSeek V4.1 Flash |
| ARC-AGI-2 | 1.1% | 72.9% | DeepSeek V4.1 Flash |
| SimpleBench | 40.8% | Not measured | Only R1 0528 measured |
| Chess puzzles | Not measured | 48.0% | Only DeepSeek V4.1 Flash measured |
| Mystery game puzzles | Not measured | 43.0% | Only DeepSeek V4.1 Flash measured |
| LMArena Text: hard prompts | 1415 | 1483 | DeepSeek V4.1 Flash |
| LMArena Text: expert | 1394 | 1501 | DeepSeek V4.1 Flash |
| LMArena Text: hard prompts in English | 1422 | 1488 | DeepSeek V4.1 Flash |
| LMArena Vision: diagrams | Not measured | 1297 | Only DeepSeek V4.1 Flash measured |
| LMArena Vision: homework | Not measured | 1307 | Only DeepSeek V4.1 Flash measured |
| Neither model has a result on the other 6 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | R1 0528 | DeepSeek V4.1 Flash | 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% | 98.3% | DeepSeek V4.1 Flash |
| FrontierMath, tiers 1 to 3 | Not measured | 67.4% | Only DeepSeek V4.1 Flash measured |
| FrontierMath, tier 4 | Not measured | 26.8% | Only DeepSeek V4.1 Flash measured |
| ProofBench | Not measured | 54.0% | Only DeepSeek V4.1 Flash measured |
| MATH level 5 | 96.6% | Not measured | Only R1 0528 measured |
| LMArena Text: math | 1400 | 1478 | DeepSeek V4.1 Flash |
| LMArena Text: mathematical work | 1415 | 1485 | DeepSeek V4.1 Flash |
| 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 V4.1 Flash | Leader |
|---|---|---|---|
| LegalBench (Vals AI) | Not measured | 83.3% | Only DeepSeek V4.1 Flash measured |
| MedCode (Vals AI) | Not measured | 41.2% | Only DeepSeek V4.1 Flash measured |
| MMLU Pro (Artificial Analysis run) | 84.9% | Not measured | Only R1 0528 measured |
| SimpleQA Verified | Not measured | 42.9% | Only DeepSeek V4.1 Flash measured |
| LMArena Text: science | 1430 | 1469 | DeepSeek V4.1 Flash |
| LMArena Text: medicine and healthcare | 1445 | 1484 | DeepSeek V4.1 Flash |
| LMArena Text: legal and government | 1419 | 1443 | DeepSeek V4.1 Flash |
| LMArena Text: business and finance | 1402 | 1461 | DeepSeek V4.1 Flash |
| Neither model has a result on the other 9 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index07
| Benchmark | R1 0528 | DeepSeek V4.1 Flash | Leader |
|---|---|---|---|
| Design Arena: websites | 1149 | 1309 | DeepSeek V4.1 Flash |
| Design Arena: UI components | 1102 | 1314 | DeepSeek V4.1 Flash |
| Design Arena: game dev | 1098 | 1331 | DeepSeek V4.1 Flash |
| Design Arena: data viz | 1182 | 1290 | DeepSeek V4.1 Flash |
| Design Arena: 3D | 1111 | 1356 | DeepSeek V4.1 Flash |
| Design Arena: all code categories | 1139 | 1320 | DeepSeek V4.1 Flash |
| Design Arena: SVG | 1038 | 1243 | DeepSeek V4.1 Flash |
| Design Arena: ASCII art | Not measured | 1265 | Only DeepSeek V4.1 Flash measured |
| LiveBench design | Not measured | 79.2% | Only DeepSeek V4.1 Flash measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index018
| Benchmark | R1 0528 | DeepSeek V4.1 Flash | Leader |
|---|---|---|---|
| LiveBench data analysis | Not measured | 79.3% | Only DeepSeek V4.1 Flash measured |
| Public Benefits Bench (Vals AI) | Not measured | 64.3% | Only DeepSeek V4.1 Flash measured |
| SAGE (Vals AI) | Not measured | 47.9% | Only DeepSeek V4.1 Flash measured |
| MedScribe (Vals AI) | Not measured | 85.5% | Only DeepSeek V4.1 Flash measured |
| IFBench | 39.6% | Not measured | Only R1 0528 measured |
| Long context reasoning (AA-LCR) | 55.7% | 84.0% | DeepSeek V4.1 Flash |
| DTBench | Not measured | 89.9% | Only DeepSeek V4.1 Flash measured |
| LMCA | Not measured | 47.0% | Only DeepSeek V4.1 Flash measured |
| Fiction.LiveBench | 75.0% | Not measured | Only R1 0528 measured |
| Creative writing (Lech Mazur) | 81.9% | Not measured | Only R1 0528 measured |
| Surface Evolver Bench | Not measured | 46.3% | Only DeepSeek V4.1 Flash measured |
| Furniture assembly | Not measured | 34.2% | Only DeepSeek V4.1 Flash measured |
| LMArena Text | 1428 | 1464 | DeepSeek V4.1 Flash |
| LMArena Text: instruction following | 1382 | 1473 | DeepSeek V4.1 Flash |
| LMArena Text: creative writing | 1405 | 1437 | DeepSeek V4.1 Flash |
| LMArena Vision | Not measured | 1278 | Only DeepSeek V4.1 Flash measured |
| LMArena Text: English | 1437 | 1473 | DeepSeek V4.1 Flash |
| LMArena Text: non-English | 1412 | 1449 | DeepSeek V4.1 Flash |
| LMArena Text: Chinese | 1442 | 1501 | DeepSeek V4.1 Flash |
| LMArena Text: German | 1404 | 1470 | DeepSeek V4.1 Flash |
| LMArena Text: Japanese | 1391 | 1432 | DeepSeek V4.1 Flash |
| LMArena Text: Korean | 1360 | 1436 | DeepSeek V4.1 Flash |
| LMArena Text: French | 1417 | 1465 | DeepSeek V4.1 Flash |
| LMArena Text: Spanish | 1411 | 1459 | DeepSeek V4.1 Flash |
| LMArena Text: Russian | 1423 | 1467 | DeepSeek V4.1 Flash |
| LMArena Text: Polish | 1428 | 1457 | DeepSeek V4.1 Flash |
| LMArena Text: multi-turn | 1405 | 1461 | DeepSeek V4.1 Flash |
| LMArena Text: longer queries | 1391 | 1473 | DeepSeek V4.1 Flash |
| LMArena Text: writing and language | 1402 | 1450 | DeepSeek V4.1 Flash |
| LMArena Text: entertainment and media | 1400 | 1445 | DeepSeek V4.1 Flash |
| LMArena Vision: English | Not measured | 1288 | Only DeepSeek V4.1 Flash measured |
| LMArena Vision: Chinese | Not measured | 1327 | Only DeepSeek V4.1 Flash measured |
| LMArena Vision: reading text | Not measured | 1282 | Only DeepSeek V4.1 Flash measured |
| LMArena Vision: humor | Not measured | 1260 | Only DeepSeek V4.1 Flash measured |
| LMArena Vision: creative writing | Not measured | 1275 | Only DeepSeek V4.1 Flash measured |
| Neither model has a result on the other 11 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | R1 0528 | DeepSeek V4.1 Flash | 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$0.0016Fits in one request
DeepSeek V4.1 Flash$0.0003Fits in one request
DeepSeek V4.1 Flash costs less
Repository review
50K input + 3K output tokens
R1 0528$0.031Fits in one request
DeepSeek V4.1 Flash$0.0040Fits in one request
DeepSeek V4.1 Flash costs less
Agent loop
200K input + 10K output tokens
R1 0528$0.121Exceeds the context window
DeepSeek V4.1 Flash$0.015Fits in one request
DeepSeek V4.1 Flash 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 V4.1 Flash |
|---|---|---|
| Maker | DeepSeek | DeepSeek |
| Weights | Open weights | Open weights |
| Released | May 28, 2025 | September 10, 2026 |
| Context window | 164K | 1.05M |
| Input $/Mtok | $0.50 | $0.049 |
| Output $/Mtok | $2.15 | $0.525 |
| Coding index | 71.4 | 77.2 |
| Independent measurements behind it | 1 | 2 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is R1 0528 better than DeepSeek V4.1 Flash for coding?
Pick DeepSeek V4.1 Flash for coding: it scores 77.2 on the Vibe Coding Index against 71.4 for R1 0528. R1 0528 is neither cheaper nor larger in context, and leads no benchmark both models were measured on.
Which is cheaper, R1 0528 or DeepSeek V4.1 Flash?
R1 0528 costs $0.50 per million input tokens and $2.15 per million output tokens; DeepSeek V4.1 Flash costs $0.049 and $0.525. Cost per solved task is known for neither of them.
Which has the bigger context window, R1 0528 or DeepSeek V4.1 Flash?
DeepSeek V4.1 Flash, with 1.05M tokens against 164K.
How many benchmarks is the R1 0528 vs DeepSeek V4.1 Flash comparison based on?
43 benchmarks have a result for both models as of October 21, 2026. R1 0528's coding index rests on 1 independent benchmark and DeepSeek V4.1 Flash's on 2. Where only one model has a result, the page says so instead of naming a winner.