DeepSeek V4.1 Flash vs Qwen3.7 Plus
DeepSeek V4.1 Flash leads Qwen3.7 Plus on coding, 62.5 to 33.2 on the Vibe Coding Index, and DeepSeek V4.1 Flash costs 1.6x less per output token ($0.78 vs $1.28 per million). Updated October 21, 2026; 65 benchmarks have a result for both.
DeepSeek V4.1 Flash or Qwen3.7 Plus: which to pick
Pick DeepSeek V4.1 Flash for coding: it scores 62.5 on the Vibe Coding Index against 33.2 for Qwen3.7 Plus.
Pick Qwen3.7 Plus for work measured by AA Intelligence Index or LMArena Text: legal and government, where it leads.
- Shared results
- 65
- DeepSeek V4.1 Flash only
- 36
- Qwen3.7 Plus only
- 10
- 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 33.2.
5 and 2 benchmarks behind the scores
Intelligence
AA Intelligence Index
Qwen3.7 Plus
Qwen3.7 Plus leads, 25.2 against 24.7.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Qwen3.7 Plus has a AA Agentic Index result, 17.5.
Directional only
Web design
Design Arena: websites
DeepSeek V4.1 Flash
DeepSeek V4.1 Flash leads, 1309 against 1269.
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
DeepSeek V4.1 Flash $0.0006, Qwen3.7 Plus $0.0010 per turn.
List prices
At a glance
- Coding index
- DeepSeek V4.1 Flash 62.5 from 5 benchmarks, Qwen3.7 Plus 33.2 from 2 benchmarks.
- Widest category
- Coding, 21.8 points apart on average over 8 shared benchmarks.
- Widest single gap
- FrontierCode: DeepSeek V4.1 Flash 43.9% against Qwen3.7 Plus 10.2%, 51.8 points apart on a 0 to 100 scale.
- Output price
- DeepSeek V4.1 Flash $0.78 against Qwen3.7 Plus $1.28 per million output tokens, 1.6x apart.
- Context window
- DeepSeek V4.1 Flash takes 1.05M tokens, Qwen3.7 Plus 1M.
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 V4.1 Flash | Bars | Qwen3.7 Plus | Ties |
|---|---|---|---|---|
| Coding | 8 | 0 | ||
| Intelligence | 1 | 1 | ||
| Agentic work | 4 | 0 | ||
| Reasoning | 8 | 0 | ||
| Math | 4 | 0 | ||
| Knowledge | 3 | 1 | ||
| Web design | 8 | 0 | ||
| General | 19 | 8 | ||
| All shared boards | 55 | 10 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index80
| Benchmark | DeepSeek V4.1 Flash | Qwen3.7 Plus | Leader |
|---|---|---|---|
| LiveBench coding | 90.2% | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena WebDev | 1618 | Not measured | Only DeepSeek V4.1 Flash measured |
| AA Coding Index | Not measured | 55.9 | Only Qwen3.7 Plus measured |
| Terminal-Bench 4 (Vals AI) | 19.7% | Not measured | Only DeepSeek V4.1 Flash measured |
| Vibe Code Bench (Vals AI) | 84.7% | 46.4% | DeepSeek V4.1 Flash |
| Code migration (Vals AI) | 45.6% | 12.9% | DeepSeek V4.1 Flash |
| ProgramBench (Vals AI) | 0.5% | Not measured | Only DeepSeek V4.1 Flash measured |
| IOI (Vals AI) | 40.3% | Not measured | Only DeepSeek V4.1 Flash measured |
| Terminal-Bench 2.1 (Vals AI) | 74.5% | 52.8% | DeepSeek V4.1 Flash |
| SWE-bench Multimodal (Vals AI) | 46.5% | Not measured | Only DeepSeek V4.1 Flash measured |
| Vibe Code Bench 1-100 (Vals AI) | 16.4% | Not measured | Only DeepSeek V4.1 Flash measured |
| SkillsBench (Vals AI) | 69.8% | 54.3% | DeepSeek V4.1 Flash |
| CyberBench (Vals AI) | 73.7% | Not measured | Only DeepSeek V4.1 Flash measured |
| SciCode | 51.9% | 46.1% | DeepSeek V4.1 Flash |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 47.0% | Only Qwen3.7 Plus measured |
| FrontierCode | 43.9% | 10.2% | DeepSeek V4.1 Flash |
| ALE-Bench | 1092.3 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: coding | 1502 | 1473 | DeepSeek V4.1 Flash |
| LMArena Text: software and IT | 1496 | 1473 | DeepSeek V4.1 Flash |
| LMArena WebDev: React | 1628 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena WebDev: HTML | 1612 | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena WebDev: from an image | 1606 | Not measured | Only DeepSeek V4.1 Flash measured |
| Neither model has a result on the other 17 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | DeepSeek V4.1 Flash | Qwen3.7 Plus | Leader |
|---|---|---|---|
| AA Intelligence Index | 24.7 | 25.2 | Qwen3.7 Plus |
| Epoch Capabilities Index | 155.9 | 147.0 | DeepSeek V4.1 Flash |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | DeepSeek V4.1 Flash | Qwen3.7 Plus | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 17.5 | Only Qwen3.7 Plus measured |
| LiveBench research | 86.8% | Not measured | Only DeepSeek V4.1 Flash measured |
| LiveBench browser | 84.0% | Not measured | Only DeepSeek V4.1 Flash measured |
| LiveBench long agentic | 40.1% | Not measured | Only DeepSeek V4.1 Flash measured |
| SREBench (Vals AI) | 0.8% | Not measured | Only DeepSeek V4.1 Flash measured |
| Finance Agent (Vals AI) | 53.5% | 38.2% | DeepSeek V4.1 Flash |
| Tax Agent Bench (Vals AI) | 26.6% | 10.5% | DeepSeek V4.1 Flash |
| Legal Research Bench (Vals AI) | 41.4% | 16.4% | DeepSeek V4.1 Flash |
| Excel Modeling Benchmark (Vals AI) | 57.2% | 49.3% | DeepSeek V4.1 Flash |
| BioMysteryBench (Vals AI) | 67.8% | Not measured | Only DeepSeek V4.1 Flash measured |
| Terminal-Bench-Science (Vals AI) | 0.0% | Not measured | Only DeepSeek V4.1 Flash measured |
| Vals Science Index | 29.6% | Not measured | Only DeepSeek V4.1 Flash measured |
| τ²-Bench Telecom | Not measured | 93.0% | Only Qwen3.7 Plus measured |
| APEX-Agents | 39.5% | Not measured | Only DeepSeek V4.1 Flash measured |
| OSWorld 2.0 | Not measured | 2.8% | Only Qwen3.7 Plus measured |
| Neither model has a result on the other 26 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index80
| Benchmark | DeepSeek V4.1 Flash | Qwen3.7 Plus | Leader |
|---|---|---|---|
| LiveBench reasoning | 86.7% | Not measured | Only DeepSeek V4.1 Flash measured |
| MysteryMechanism (Vals AI) | 21.2% | Not measured | Only DeepSeek V4.1 Flash measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 90.0% | Only Qwen3.7 Plus measured |
| Humanity's Last Exam (Artificial Analysis run) | 39.2% | 35.6% | DeepSeek V4.1 Flash |
| GPQA Diamond (Epoch AI run) | 89.8% | 87.9% | DeepSeek V4.1 Flash |
| ARC-AGI | 94.5% | Not measured | Only DeepSeek V4.1 Flash measured |
| ARC-AGI-2 | 72.9% | Not measured | Only DeepSeek V4.1 Flash measured |
| Chess puzzles | 48.0% | Not measured | Only DeepSeek V4.1 Flash measured |
| Mystery game puzzles | 43.0% | 17.0% | DeepSeek V4.1 Flash |
| LMArena Text: hard prompts | 1483 | 1460 | DeepSeek V4.1 Flash |
| LMArena Text: expert | 1501 | 1466 | DeepSeek V4.1 Flash |
| LMArena Text: hard prompts in English | 1488 | 1460 | DeepSeek V4.1 Flash |
| LMArena Vision: diagrams | 1297 | 1292 | DeepSeek V4.1 Flash |
| LMArena Vision: homework | 1307 | 1295 | DeepSeek V4.1 Flash |
| Neither model has a result on the other 8 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | DeepSeek V4.1 Flash | Qwen3.7 Plus | Leader |
|---|---|---|---|
| OTIS Mock AIME | 98.3% | 93.3% | DeepSeek V4.1 Flash |
| FrontierMath, tiers 1 to 3 | 67.4% | 34.4% | DeepSeek V4.1 Flash |
| FrontierMath, tier 4 | 26.8% | Not measured | Only DeepSeek V4.1 Flash measured |
| ProofBench | 54.0% | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: math | 1478 | 1467 | DeepSeek V4.1 Flash |
| LMArena Text: mathematical work | 1485 | 1470 | 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 index31
| Benchmark | DeepSeek V4.1 Flash | Qwen3.7 Plus | Leader |
|---|---|---|---|
| LegalBench (Vals AI) | 83.3% | Not measured | Only DeepSeek V4.1 Flash measured |
| MortgageTax (Vals AI) | Not measured | 66.2% | Only Qwen3.7 Plus measured |
| MedCode (Vals AI) | 41.2% | Not measured | Only DeepSeek V4.1 Flash measured |
| SimpleQA Verified | 42.9% | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: science | 1469 | 1464 | DeepSeek V4.1 Flash |
| LMArena Text: medicine and healthcare | 1484 | 1464 | DeepSeek V4.1 Flash |
| LMArena Text: legal and government | 1443 | 1451 | Qwen3.7 Plus |
| LMArena Text: business and finance | 1461 | 1435 | DeepSeek V4.1 Flash |
| Neither model has a result on the other 10 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index80
| Benchmark | DeepSeek V4.1 Flash | Qwen3.7 Plus | Leader |
|---|---|---|---|
| Design Arena: websites | 1309 | 1269 | DeepSeek V4.1 Flash |
| Design Arena: UI components | 1315 | 1261 | DeepSeek V4.1 Flash |
| Design Arena: game dev | 1330 | 1262 | DeepSeek V4.1 Flash |
| Design Arena: data viz | 1290 | 1276 | DeepSeek V4.1 Flash |
| Design Arena: 3D | 1356 | 1239 | DeepSeek V4.1 Flash |
| Design Arena: all code categories | 1320 | 1269 | DeepSeek V4.1 Flash |
| Design Arena: SVG | 1244 | 1208 | DeepSeek V4.1 Flash |
| Design Arena: ASCII art | 1265 | 1143 | DeepSeek V4.1 Flash |
| LiveBench design | 79.2% | Not measured | Only DeepSeek V4.1 Flash measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index198
| Benchmark | DeepSeek V4.1 Flash | Qwen3.7 Plus | Leader |
|---|---|---|---|
| LiveBench data analysis | 79.3% | Not measured | Only DeepSeek V4.1 Flash measured |
| Public Benefits Bench (Vals AI) | 64.3% | Not measured | Only DeepSeek V4.1 Flash measured |
| SAGE (Vals AI) | 47.9% | 39.3% | DeepSeek V4.1 Flash |
| MedScribe (Vals AI) | 85.5% | Not measured | Only DeepSeek V4.1 Flash measured |
| Vals Multimodal Index | Not measured | 53.9% | Only Qwen3.7 Plus measured |
| IFBench | Not measured | 78.0% | Only Qwen3.7 Plus measured |
| Long context reasoning (AA-LCR) | 84.0% | 73.0% | DeepSeek V4.1 Flash |
| DTBench | 89.9% | 84.0% | DeepSeek V4.1 Flash |
| LMCA | 47.0% | 37.6% | DeepSeek V4.1 Flash |
| Surface Evolver Bench | 46.3% | Not measured | Only DeepSeek V4.1 Flash measured |
| Furniture assembly | 34.2% | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text | 1464 | 1454 | DeepSeek V4.1 Flash |
| LMArena Text: instruction following | 1473 | 1439 | DeepSeek V4.1 Flash |
| LMArena Text: creative writing | 1437 | 1438 | Qwen3.7 Plus |
| LMArena Vision | 1278 | 1278 | Qwen3.7 Plus |
| LMArena Text: English | 1473 | 1458 | DeepSeek V4.1 Flash |
| LMArena Text: non-English | 1449 | 1445 | DeepSeek V4.1 Flash |
| LMArena Text: Chinese | 1501 | 1509 | Qwen3.7 Plus |
| LMArena Text: German | 1470 | 1471 | Qwen3.7 Plus |
| LMArena Text: Japanese | 1432 | 1412 | DeepSeek V4.1 Flash |
| LMArena Text: Korean | 1436 | 1413 | DeepSeek V4.1 Flash |
| LMArena Text: French | 1465 | 1472 | Qwen3.7 Plus |
| LMArena Text: Spanish | 1459 | 1457 | DeepSeek V4.1 Flash |
| LMArena Text: Russian | 1467 | 1457 | DeepSeek V4.1 Flash |
| LMArena Text: Polish | 1457 | 1449 | DeepSeek V4.1 Flash |
| LMArena Text: multi-turn | 1461 | 1459 | DeepSeek V4.1 Flash |
| LMArena Text: longer queries | 1473 | 1454 | DeepSeek V4.1 Flash |
| LMArena Text: writing and language | 1450 | 1437 | DeepSeek V4.1 Flash |
| LMArena Text: entertainment and media | 1445 | 1422 | DeepSeek V4.1 Flash |
| LMArena Vision: English | 1288 | 1280 | DeepSeek V4.1 Flash |
| LMArena Vision: Chinese | 1327 | 1332 | Qwen3.7 Plus |
| LMArena Vision: reading text | 1282 | 1288 | Qwen3.7 Plus |
| LMArena Vision: humor | 1260 | 1261 | Qwen3.7 Plus |
| LMArena Vision: creative writing | 1275 | 1258 | DeepSeek V4.1 Flash |
| LMArena Document | Not measured | 1444 | Only Qwen3.7 Plus 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 | DeepSeek V4.1 Flash | Qwen3.7 Plus | 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 | DeepSeek V4.1 Flash | Qwen3.7 Plus |
|---|---|---|
| Maker | DeepSeek | Qwen |
| Weights | Open weights | No public weights listed |
| Released | September 10, 2026 | June 3, 2026 |
| Context window | 1.05M | 1M |
| Input $/Mtok | $0.21 | $0.32 |
| Output $/Mtok | $0.78 | $1.28 |
| Coding index | 62.5 | 33.2 |
| Independent measurements behind it | 5 | 2 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is DeepSeek V4.1 Flash better than Qwen3.7 Plus for coding?
Pick DeepSeek V4.1 Flash for coding: it scores 62.5 on the Vibe Coding Index against 33.2 for Qwen3.7 Plus. Pick Qwen3.7 Plus for work measured by AA Intelligence Index or LMArena Text: legal and government, where it leads.
Which is cheaper, DeepSeek V4.1 Flash or Qwen3.7 Plus?
DeepSeek V4.1 Flash costs $0.21 per million input tokens and $0.78 per million output tokens; Qwen3.7 Plus costs $0.32 and $1.28. Cost per solved task is known for neither of them.
Which has the bigger context window, DeepSeek V4.1 Flash or Qwen3.7 Plus?
DeepSeek V4.1 Flash, with 1.05M tokens against 1M.
How many benchmarks is the DeepSeek V4.1 Flash vs Qwen3.7 Plus comparison based on?
65 benchmarks have a result for both models as of October 21, 2026. DeepSeek V4.1 Flash's coding index rests on 5 independent benchmarks and Qwen3.7 Plus's on 2. Where only one model has a result, the page says so instead of naming a winner.