Claude Sonnet 5 vs DeepSeek V4.1 Flash
DeepSeek V4.1 Flash leads Claude Sonnet 5 on coding, 62.5 to 57.7 on the Vibe Coding Index, and DeepSeek V4.1 Flash costs 11.9x less per output token ($0.84 vs $10.00 per million). Updated October 22, 2026; 94 benchmarks have a result for both.
Claude Sonnet 5 or DeepSeek V4.1 Flash: which to pick
Pick DeepSeek V4.1 Flash for coding: it scores 62.5 on the Vibe Coding Index against 57.7 for Claude Sonnet 5, though on 5 benchmarks against 6.
Pick Claude Sonnet 5 for work measured by IOI (Vals AI) or SciCode, where it leads.
- Shared results
- 94
- Claude Sonnet 5 only
- 27
- DeepSeek V4.1 Flash only
- 7
- Like-for-like categories
- 8 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 V4.1 Flash
DeepSeek V4.1 Flash scores 62.5 against 57.7.
6 and 5 benchmarks behind the scores
Intelligence
AA Intelligence Index
Claude Sonnet 5
Claude Sonnet 5 leads, 38.2 against 24.7.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Claude Sonnet 5 has a AA Agentic Index result, 43.6.
Directional only
Reasoning
GPQA Diamond
No call
Only Claude Sonnet 5 has a GPQA Diamond result, 88.9%.
Directional only
Knowledge
MMLU Pro
No call
Only Claude Sonnet 5 has a MMLU Pro result, 87.5%.
Directional only
Web design
Design Arena: websites
DeepSeek V4.1 Flash
DeepSeek V4.1 Flash leads, 1308 against 1274.
Same board, both measured
Long documents
Listed context window
DeepSeek V4.1 Flash
DeepSeek V4.1 Flash takes 1.05M tokens against 1M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
DeepSeek V4.1 Flash
Claude Sonnet 5 $0.0070, DeepSeek V4.1 Flash $0.0006 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Claude Sonnet 5 has the number, $1.87.
Directional only
At a glance
- Coding index
- Claude Sonnet 5 57.7 from 6 benchmarks, DeepSeek V4.1 Flash 62.5 from 5 benchmarks.
- Widest category
- Intelligence, 7.3 points apart on average over 2 shared benchmarks.
- Widest single gap
- SkillsBench (Vals AI): Claude Sonnet 5 46.5% against DeepSeek V4.1 Flash 69.8%, 23.3 points apart on a 0 to 100 scale.
- Output price
- Claude Sonnet 5 $10.00 against DeepSeek V4.1 Flash $0.84 per million output tokens, 11.9x apart.
- Context window
- Claude Sonnet 5 takes 1M 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 | Claude Sonnet 5 | Bars | DeepSeek V4.1 Flash | Ties |
|---|---|---|---|---|
| Coding | 3 | 15 | 1 tie | |
| Intelligence | 2 | 0 | ||
| Agentic work | 6 | 4 | ||
| Reasoning | 4 | 6 | ||
| Math | 2 | 4 | ||
| Knowledge | 3 | 4 | ||
| Web design | 1 | 8 | ||
| General | 8 | 23 | ||
| All shared boards | 29 | 64 | 1 tie |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index315
| Benchmark | Claude Sonnet 5 | DeepSeek V4.1 Flash | Leader |
|---|---|---|---|
| LiveBench coding | 74.7% | 90.2% | DeepSeek V4.1 Flash |
| LMArena WebDev | 1540 | 1618 | DeepSeek V4.1 Flash |
| AA Coding Index | 71.5 | Not measured | Only Claude Sonnet 5 measured |
| LiveCodeBench (Vals AI) | 82.4% | Not measured | Only Claude Sonnet 5 measured |
| SWE-bench Verified (Vals AI) | 79.6% | Not measured | Only Claude Sonnet 5 measured |
| Terminal-Bench 4 (Vals AI) | 10.6% | 19.7% | DeepSeek V4.1 Flash |
| Vibe Code Bench (Vals AI) | 81.3% | 84.7% | DeepSeek V4.1 Flash |
| Code migration (Vals AI) | 44.4% | 45.6% | DeepSeek V4.1 Flash |
| ProgramBench (Vals AI) | 0.0% | 0.5% | DeepSeek V4.1 Flash |
| IOI (Vals AI) | 45.0% | 40.3% | Claude Sonnet 5 |
| Terminal-Bench 2.1 (Vals AI) | 74.5% | 74.5% | Tie |
| SWE-bench Multimodal (Vals AI) | Not measured | 46.5% | Only DeepSeek V4.1 Flash measured |
| Vibe Code Bench 1-100 (Vals AI) | 13.8% | 16.4% | DeepSeek V4.1 Flash |
| SkillsBench (Vals AI) | 46.5% | 69.8% | DeepSeek V4.1 Flash |
| CyberBench (Vals AI) | 70.3% | 73.7% | DeepSeek V4.1 Flash |
| SciCode | 54.3% | 51.9% | Claude Sonnet 5 |
| FrontierCode | 42.7% | 43.9% | DeepSeek V4.1 Flash |
| GSO-Bench | 37.3% | Not measured | Only Claude Sonnet 5 measured |
| WeirdML | 68.8% | Not measured | Only Claude Sonnet 5 measured |
| ALE-Bench | 1463.1 | 1092.3 | Claude Sonnet 5 |
| LMArena Text: coding | 1483 | 1502 | DeepSeek V4.1 Flash |
| LMArena Text: software and IT | 1474 | 1496 | DeepSeek V4.1 Flash |
| LMArena WebDev: React | 1541 | 1628 | DeepSeek V4.1 Flash |
| LMArena WebDev: HTML | 1527 | 1612 | DeepSeek V4.1 Flash |
| LMArena WebDev: from an image | 1540 | 1606 | DeepSeek V4.1 Flash |
| SciCode | 10.7% | Not measured | Only Claude Sonnet 5 measured |
| Neither model has a result on the other 13 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Claude Sonnet 5 | DeepSeek V4.1 Flash | Leader |
|---|---|---|---|
| AA Intelligence Index | 38.2 | 24.7 | Claude Sonnet 5 |
| Epoch Capabilities Index | 156.9 | 155.9 | Claude Sonnet 5 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index64
| Benchmark | Claude Sonnet 5 | DeepSeek V4.1 Flash | Leader |
|---|---|---|---|
| AA Agentic Index | 43.6 | Not measured | Only Claude Sonnet 5 measured |
| Design Arena: agents building web apps | 1245 | Not measured | Only Claude Sonnet 5 measured |
| Design Arena: agents building full-stack apps | 1249 | Not measured | Only Claude Sonnet 5 measured |
| Design Arena: agents building mobile apps | 1215 | Not measured | Only Claude Sonnet 5 measured |
| Design Arena: agents building Android apps | 1227 | Not measured | Only Claude Sonnet 5 measured |
| Design Arena: agents building Godot games | 1225 | Not measured | Only Claude Sonnet 5 measured |
| Design Arena: agents building games | 1227 | Not measured | Only Claude Sonnet 5 measured |
| Design Arena: HTML slides | 1168 | Not measured | Only Claude Sonnet 5 measured |
| Design Arena: PowerPoint slides | 1191 | Not measured | Only Claude Sonnet 5 measured |
| Design Arena: spreadsheets | 1035 | Not measured | Only Claude Sonnet 5 measured |
| LiveBench research | 82.8% | 86.8% | DeepSeek V4.1 Flash |
| LiveBench browser | 72.0% | 84.0% | DeepSeek V4.1 Flash |
| LiveBench long agentic | 39.0% | 40.1% | DeepSeek V4.1 Flash |
| SREBench (Vals AI) | 0.4% | 0.8% | DeepSeek V4.1 Flash |
| Finance Agent (Vals AI) | 53.9% | 53.5% | Claude Sonnet 5 |
| Tax Agent Bench (Vals AI) | 29.4% | 26.6% | Claude Sonnet 5 |
| Legal Research Bench (Vals AI) | 41.8% | 41.4% | Claude Sonnet 5 |
| Excel Modeling Benchmark (Vals AI) | 66.3% | 57.2% | Claude Sonnet 5 |
| BioMysteryBench (Vals AI) | Not measured | 67.8% | Only DeepSeek V4.1 Flash measured |
| Terminal-Bench-Science (Vals AI) | 5.7% | 0.0% | Claude Sonnet 5 |
| Vals Science Index | Not measured | 29.6% | Only DeepSeek V4.1 Flash measured |
| APEX-Agents | 54.5% | 39.5% | Claude Sonnet 5 |
| Vending-Bench 2 | $6,378 | Not measured | Only Claude Sonnet 5 measured |
| Neither model has a result on the other 18 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index46
| Benchmark | Claude Sonnet 5 | DeepSeek V4.1 Flash | Leader |
|---|---|---|---|
| GPQA Diamond | 88.9% | Not measured | Only Claude Sonnet 5 measured |
| LiveBench reasoning | 88.7% | 86.7% | Claude Sonnet 5 |
| MysteryMechanism (Vals AI) | Not measured | 21.2% | Only DeepSeek V4.1 Flash measured |
| MMMU Pro (Vals AI) | 83.0% | Not measured | Only Claude Sonnet 5 measured |
| GPQA Diamond (Artificial Analysis run) | 91.1% | Not measured | Only Claude Sonnet 5 measured |
| Humanity's Last Exam (Artificial Analysis run) | 41.3% | 39.2% | Claude Sonnet 5 |
| GPQA Diamond (Epoch AI run) | 90.5% | 89.8% | Claude Sonnet 5 |
| ARC-AGI | Not measured | 94.5% | Only DeepSeek V4.1 Flash measured |
| ARC-AGI-2 | Not measured | 72.9% | Only DeepSeek V4.1 Flash measured |
| SimpleBench | 60.6% | Not measured | Only Claude Sonnet 5 measured |
| Chess puzzles | 45.0% | 48.0% | DeepSeek V4.1 Flash |
| Mystery game puzzles | 35.0% | 43.0% | DeepSeek V4.1 Flash |
| LMArena Text: hard prompts | 1461 | 1483 | DeepSeek V4.1 Flash |
| LMArena Text: expert | 1489 | 1501 | DeepSeek V4.1 Flash |
| LMArena Text: hard prompts in English | 1464 | 1488 | DeepSeek V4.1 Flash |
| LMArena Vision: diagrams | 1293 | 1297 | DeepSeek V4.1 Flash |
| LMArena Vision: homework | 1311 | 1307 | Claude Sonnet 5 |
| Neither model has a result on the other 5 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index24
| Benchmark | Claude Sonnet 5 | DeepSeek V4.1 Flash | Leader |
|---|---|---|---|
| OTIS Mock AIME | 94.7% | 98.3% | DeepSeek V4.1 Flash |
| FrontierMath, tiers 1 to 3 | 65.6% | 67.4% | DeepSeek V4.1 Flash |
| FrontierMath, tier 4 | 29.3% | 26.8% | Claude Sonnet 5 |
| ProofBench | 77.0% | 54.0% | Claude Sonnet 5 |
| LMArena Text: math | 1467 | 1478 | DeepSeek V4.1 Flash |
| LMArena Text: mathematical work | 1481 | 1485 | DeepSeek V4.1 Flash |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index34
| Benchmark | Claude Sonnet 5 | DeepSeek V4.1 Flash | Leader |
|---|---|---|---|
| MMLU Pro | 87.5% | Not measured | Only Claude Sonnet 5 measured |
| LegalBench (Vals AI) | 83.9% | 83.3% | Claude Sonnet 5 |
| CorpFin (Vals AI) | 67.0% | Not measured | Only Claude Sonnet 5 measured |
| TaxEval (Vals AI) | 75.6% | Not measured | Only Claude Sonnet 5 measured |
| MortgageTax (Vals AI) | 70.0% | Not measured | Only Claude Sonnet 5 measured |
| MedCode (Vals AI) | 47.5% | 41.2% | Claude Sonnet 5 |
| SimpleQA Verified | 33.7% | 42.9% | DeepSeek V4.1 Flash |
| LMArena Text: science | 1460 | 1469 | DeepSeek V4.1 Flash |
| LMArena Text: medicine and healthcare | 1442 | 1484 | DeepSeek V4.1 Flash |
| LMArena Text: legal and government | 1454 | 1443 | Claude Sonnet 5 |
| LMArena Text: business and finance | 1436 | 1461 | DeepSeek V4.1 Flash |
| Neither model has a result on the other 7 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index18
| Benchmark | Claude Sonnet 5 | DeepSeek V4.1 Flash | Leader |
|---|---|---|---|
| Design Arena: websites | 1274 | 1308 | DeepSeek V4.1 Flash |
| Design Arena: UI components | 1277 | 1312 | DeepSeek V4.1 Flash |
| Design Arena: game dev | 1277 | 1330 | DeepSeek V4.1 Flash |
| Design Arena: data viz | 1251 | 1291 | DeepSeek V4.1 Flash |
| Design Arena: 3D | 1261 | 1355 | DeepSeek V4.1 Flash |
| Design Arena: all code categories | 1275 | 1320 | DeepSeek V4.1 Flash |
| Design Arena: SVG | 1192 | 1245 | DeepSeek V4.1 Flash |
| Design Arena: ASCII art | 1207 | 1265 | DeepSeek V4.1 Flash |
| LiveBench design | 82.0% | 79.2% | Claude Sonnet 5 |
GeneralLike-for-likePublic boards, shown as published, kept out of the index823
| Benchmark | Claude Sonnet 5 | DeepSeek V4.1 Flash | Leader |
|---|---|---|---|
| LiveBench data analysis | 71.7% | 79.3% | DeepSeek V4.1 Flash |
| Public Benefits Bench (Vals AI) | 66.0% | 64.3% | Claude Sonnet 5 |
| SAGE (Vals AI) | 48.9% | 47.9% | Claude Sonnet 5 |
| MedScribe (Vals AI) | 76.0% | 85.5% | DeepSeek V4.1 Flash |
| Vals Multimodal Index | 68.8% | Not measured | Only Claude Sonnet 5 measured |
| Long context reasoning (AA-LCR) | 82.0% | 84.0% | DeepSeek V4.1 Flash |
| DTBench | 92.5% | 89.9% | Claude Sonnet 5 |
| LMCA | 50.0% | 47.0% | Claude Sonnet 5 |
| Surface Evolver Bench | 60.0% | 46.3% | Claude Sonnet 5 |
| Furniture assembly | Not measured | 34.2% | Only DeepSeek V4.1 Flash measured |
| LMArena Text | 1442 | 1464 | DeepSeek V4.1 Flash |
| LMArena Text: instruction following | 1452 | 1473 | DeepSeek V4.1 Flash |
| LMArena Text: creative writing | 1416 | 1437 | DeepSeek V4.1 Flash |
| LMArena Vision | 1273 | 1278 | DeepSeek V4.1 Flash |
| LMArena Text: English | 1450 | 1473 | DeepSeek V4.1 Flash |
| LMArena Text: non-English | 1431 | 1449 | DeepSeek V4.1 Flash |
| LMArena Text: Chinese | 1478 | 1501 | DeepSeek V4.1 Flash |
| LMArena Text: German | 1442 | 1470 | DeepSeek V4.1 Flash |
| LMArena Text: Japanese | 1422 | 1432 | DeepSeek V4.1 Flash |
| LMArena Text: Korean | 1412 | 1436 | DeepSeek V4.1 Flash |
| LMArena Text: French | 1463 | 1465 | DeepSeek V4.1 Flash |
| LMArena Text: Spanish | 1438 | 1459 | DeepSeek V4.1 Flash |
| LMArena Text: Russian | 1450 | 1467 | DeepSeek V4.1 Flash |
| LMArena Text: Polish | 1425 | 1457 | DeepSeek V4.1 Flash |
| LMArena Text: multi-turn | 1453 | 1461 | DeepSeek V4.1 Flash |
| LMArena Text: longer queries | 1462 | 1473 | DeepSeek V4.1 Flash |
| LMArena Text: writing and language | 1436 | 1450 | DeepSeek V4.1 Flash |
| LMArena Text: entertainment and media | 1411 | 1445 | DeepSeek V4.1 Flash |
| LMArena Vision: English | 1275 | 1288 | DeepSeek V4.1 Flash |
| LMArena Vision: Chinese | 1331 | 1327 | Claude Sonnet 5 |
| LMArena Vision: reading text | 1288 | 1282 | Claude Sonnet 5 |
| LMArena Vision: humor | 1261 | 1260 | Claude Sonnet 5 |
| LMArena Vision: creative writing | 1246 | 1275 | DeepSeek V4.1 Flash |
| LMArena Document | 1466 | Not measured | Only Claude Sonnet 5 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 | Claude Sonnet 5 | 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
DeepSeek V4.1 Flash costs less
Repository review
50K input + 3K output tokens
DeepSeek V4.1 Flash costs less
Agent loop
200K input + 10K output tokens
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 | Anthropic Claude Sonnet 5 | DeepSeek V4.1 Flash |
|---|---|---|
| Maker | Anthropic | DeepSeek |
| Weights | No public weights listed | Open weights |
| Released | June 30, 2026 | September 10, 2026 |
| Context window | 1M | 1.05M |
| Input $/Mtok | $2.00 | $0.2225 |
| Output $/Mtok | $10.00 | $0.84 |
| Coding index | 57.7 | 62.5 |
| Independent measurements behind it | 6 | 5 |
| Cost per solved task | $1.87 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Sonnet 5 better than DeepSeek V4.1 Flash for coding?
Pick DeepSeek V4.1 Flash for coding: it scores 62.5 on the Vibe Coding Index against 57.7 for Claude Sonnet 5, though on 5 benchmarks against 6. Pick Claude Sonnet 5 for work measured by IOI (Vals AI) or SciCode, where it leads.
Which is cheaper, Claude Sonnet 5 or DeepSeek V4.1 Flash?
Claude Sonnet 5 costs $2.00 per million input tokens and $10.00 per million output tokens; DeepSeek V4.1 Flash costs $0.2225 and $0.84. Cost per solved task is known for Claude Sonnet 5 only.
Which has the bigger context window, Claude Sonnet 5 or DeepSeek V4.1 Flash?
DeepSeek V4.1 Flash, with 1.05M tokens against 1M.
How many benchmarks is the Claude Sonnet 5 vs DeepSeek V4.1 Flash comparison based on?
94 benchmarks have a result for both models as of October 22, 2026. Claude Sonnet 5's coding index rests on 6 independent benchmarks and DeepSeek V4.1 Flash's on 5. Where only one model has a result, the page says so instead of naming a winner.