DeepSeek V4.1 Flash vs Grok 4.5
DeepSeek V4.1 Flash leads Grok 4.5 on coding, 62.5 to 58.6 on the Vibe Coding Index, and DeepSeek V4.1 Flash costs 7.1x less per output token ($0.84 vs $6.00 per million). Updated October 22, 2026; 93 benchmarks have a result for both.
DeepSeek V4.1 Flash or Grok 4.5: which to pick
Pick DeepSeek V4.1 Flash for coding: it scores 62.5 on the Vibe Coding Index against 58.6 for Grok 4.5, though on 5 benchmarks against 6.
Pick Grok 4.5 for work measured by LiveBench coding or IOI (Vals AI), where it leads.
- Shared results
- 93
- DeepSeek V4.1 Flash only
- 8
- Grok 4.5 only
- 30
- 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 58.6.
5 and 6 benchmarks behind the scores
Intelligence
AA Intelligence Index
Grok 4.5
Grok 4.5 leads, 38.8 against 24.7.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Grok 4.5 has a AA Agentic Index result, 41.2.
Directional only
Reasoning
GPQA Diamond
No call
Only Grok 4.5 has a GPQA Diamond result, 92.9%.
Directional only
Knowledge
MMLU Pro
No call
Only Grok 4.5 has a MMLU Pro result, 89.2%.
Directional only
Web design
Design Arena: websites
DeepSeek V4.1 Flash
DeepSeek V4.1 Flash leads, 1308 against 1281.
Same board, both measured
Long documents
Listed context window
DeepSeek V4.1 Flash
DeepSeek V4.1 Flash takes 1.05M tokens against 500K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
DeepSeek V4.1 Flash
DeepSeek V4.1 Flash $0.0006, Grok 4.5 $0.0050 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Grok 4.5 has the number, $0.62.
Directional only
At a glance
- Coding index
- DeepSeek V4.1 Flash 62.5 from 5 benchmarks, Grok 4.5 58.6 from 6 benchmarks.
- Widest category
- Agentic work, 9.4 points apart on average over 9 shared benchmarks.
- Widest single gap
- LiveBench browser: DeepSeek V4.1 Flash 84.0% against Grok 4.5 44.0%, 40.0 points apart on a 0 to 100 scale.
- Output price
- DeepSeek V4.1 Flash $0.84 against Grok 4.5 $6.00 per million output tokens, 7.1x apart.
- Context window
- DeepSeek V4.1 Flash takes 1.05M tokens, Grok 4.5 500K.
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 | Grok 4.5 | Ties |
|---|---|---|---|---|
| Coding | 14 | 4 | ||
| Intelligence | 1 | 1 | ||
| Agentic work | 7 | 1 | 1 tie | |
| Reasoning | 7 | 4 | ||
| Math | 6 | 0 | ||
| Knowledge | 3 | 4 | ||
| Web design | 9 | 0 | ||
| General | 22 | 9 | ||
| All shared boards | 69 | 23 | 1 tie |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index144
| Benchmark | DeepSeek V4.1 Flash | Grok 4.5 | Leader |
|---|---|---|---|
| LiveBench coding | 90.2% | 94.3% | Grok 4.5 |
| LMArena WebDev | 1618 | 1553 | DeepSeek V4.1 Flash |
| AA Coding Index | Not measured | 72.4 | Only Grok 4.5 measured |
| LiveCodeBench (Vals AI) | Not measured | 87.3% | Only Grok 4.5 measured |
| SWE-bench Verified (Vals AI) | Not measured | 86.6% | Only Grok 4.5 measured |
| Terminal-Bench 4 (Vals AI) | 19.7% | 8.6% | DeepSeek V4.1 Flash |
| Vibe Code Bench (Vals AI) | 84.7% | 69.0% | DeepSeek V4.1 Flash |
| Code migration (Vals AI) | 45.6% | 36.6% | DeepSeek V4.1 Flash |
| ProgramBench (Vals AI) | 0.5% | 0.0% | DeepSeek V4.1 Flash |
| IOI (Vals AI) | 40.3% | 40.6% | Grok 4.5 |
| Terminal-Bench 2.1 (Vals AI) | 74.5% | 67.8% | 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% | 66.0% | DeepSeek V4.1 Flash |
| CyberBench (Vals AI) | 73.7% | 71.0% | DeepSeek V4.1 Flash |
| SciCode | 51.9% | 55.0% | Grok 4.5 |
| FrontierCode | 43.9% | 42.4% | DeepSeek V4.1 Flash |
| WeirdML | Not measured | 46.4% | Only Grok 4.5 measured |
| ALE-Bench | 1092.3 | 1309.3 | Grok 4.5 |
| LMArena Text: coding | 1502 | 1474 | DeepSeek V4.1 Flash |
| LMArena Text: software and IT | 1496 | 1471 | DeepSeek V4.1 Flash |
| LMArena WebDev: React | 1628 | 1556 | DeepSeek V4.1 Flash |
| LMArena WebDev: HTML | 1612 | 1567 | DeepSeek V4.1 Flash |
| LMArena WebDev: from an image | 1606 | 1562 | DeepSeek V4.1 Flash |
| SciCode | Not measured | 6.5% | Only Grok 4.5 measured |
| Neither model has a result on the other 14 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | DeepSeek V4.1 Flash | Grok 4.5 | Leader |
|---|---|---|---|
| AA Intelligence Index | 24.7 | 38.8 | Grok 4.5 |
| Epoch Capabilities Index | 155.9 | 154.1 | DeepSeek V4.1 Flash |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index71
| Benchmark | DeepSeek V4.1 Flash | Grok 4.5 | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 41.2 | Only Grok 4.5 measured |
| Design Arena: agents building web apps | Not measured | 1218 | Only Grok 4.5 measured |
| Design Arena: agents building full-stack apps | Not measured | 1249 | Only Grok 4.5 measured |
| Design Arena: agents building mobile apps | Not measured | 1220 | Only Grok 4.5 measured |
| Design Arena: agents building Android apps | Not measured | 1236 | Only Grok 4.5 measured |
| Design Arena: agents building Godot games | Not measured | 1229 | Only Grok 4.5 measured |
| Design Arena: agents building games | Not measured | 1236 | Only Grok 4.5 measured |
| Design Arena: HTML slides | Not measured | 1205 | Only Grok 4.5 measured |
| Design Arena: PowerPoint slides | Not measured | 1230 | Only Grok 4.5 measured |
| LiveBench research | 86.8% | 85.9% | DeepSeek V4.1 Flash |
| LiveBench browser | 84.0% | 44.0% | DeepSeek V4.1 Flash |
| LiveBench long agentic | 40.1% | 27.9% | DeepSeek V4.1 Flash |
| SREBench (Vals AI) | 0.8% | 0.8% | Tie |
| Finance Agent (Vals AI) | 53.5% | 48.4% | DeepSeek V4.1 Flash |
| Tax Agent Bench (Vals AI) | 26.6% | 24.9% | DeepSeek V4.1 Flash |
| Legal Research Bench (Vals AI) | 41.4% | 38.0% | DeepSeek V4.1 Flash |
| Excel Modeling Benchmark (Vals AI) | 57.2% | 52.9% | 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 |
| Time Horizon Index (Vals AI) | Not measured | 6.3% | Only Grok 4.5 measured |
| APEX-Agents | 39.5% | 56.2% | Grok 4.5 |
| PostTrainBench | Not measured | 23.4% | Only Grok 4.5 measured |
| Vending-Bench 2 | Not measured | $3,887 | Only Grok 4.5 measured |
| LMArena Search | Not measured | 1216 | Only Grok 4.5 measured |
| Neither model has a result on the other 16 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index74
| Benchmark | DeepSeek V4.1 Flash | Grok 4.5 | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 92.9% | Only Grok 4.5 measured |
| LiveBench reasoning | 86.7% | 87.2% | Grok 4.5 |
| MysteryMechanism (Vals AI) | 21.2% | Not measured | Only DeepSeek V4.1 Flash measured |
| MMMU Pro (Vals AI) | Not measured | 61.8% | Only Grok 4.5 measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 93.1% | Only Grok 4.5 measured |
| Humanity's Last Exam (Artificial Analysis run) | 39.2% | 42.7% | Grok 4.5 |
| GPQA Diamond (Epoch AI run) | 89.8% | 93.4% | Grok 4.5 |
| ARC-AGI | 94.5% | 87.2% | DeepSeek V4.1 Flash |
| ARC-AGI-2 | 72.9% | 52.6% | DeepSeek V4.1 Flash |
| SimpleBench | Not measured | 70.0% | Only Grok 4.5 measured |
| Chess puzzles | 48.0% | 35.0% | DeepSeek V4.1 Flash |
| Mystery game puzzles | 43.0% | Not measured | Only DeepSeek V4.1 Flash measured |
| LMArena Text: hard prompts | 1483 | 1462 | DeepSeek V4.1 Flash |
| LMArena Text: expert | 1501 | 1465 | DeepSeek V4.1 Flash |
| LMArena Text: hard prompts in English | 1488 | 1464 | DeepSeek V4.1 Flash |
| LMArena Vision: diagrams | 1297 | 1304 | Grok 4.5 |
| LMArena Vision: homework | 1307 | 1295 | DeepSeek V4.1 Flash |
| Kagi LLM Benchmark | Not measured | 83.5% | Only Grok 4.5 measured |
| Neither model has a result on the other 4 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | DeepSeek V4.1 Flash | Grok 4.5 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 98.3% | 97.8% | DeepSeek V4.1 Flash |
| FrontierMath, tiers 1 to 3 | 67.4% | 57.2% | DeepSeek V4.1 Flash |
| FrontierMath, tier 4 | 26.8% | 24.4% | DeepSeek V4.1 Flash |
| ProofBench | 54.0% | 31.0% | DeepSeek V4.1 Flash |
| LMArena Text: math | 1478 | 1460 | DeepSeek V4.1 Flash |
| LMArena Text: mathematical work | 1485 | 1482 | 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 | DeepSeek V4.1 Flash | Grok 4.5 | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 89.2% | Only Grok 4.5 measured |
| LegalBench (Vals AI) | 83.3% | 86.0% | Grok 4.5 |
| CorpFin (Vals AI) | Not measured | 67.4% | Only Grok 4.5 measured |
| TaxEval (Vals AI) | Not measured | 71.7% | Only Grok 4.5 measured |
| MortgageTax (Vals AI) | Not measured | 61.8% | Only Grok 4.5 measured |
| MedCode (Vals AI) | 41.2% | 43.3% | Grok 4.5 |
| SimpleQA Verified | 42.9% | 48.3% | Grok 4.5 |
| LMArena Text: science | 1469 | 1464 | DeepSeek V4.1 Flash |
| LMArena Text: medicine and healthcare | 1484 | 1440 | DeepSeek V4.1 Flash |
| LMArena Text: legal and government | 1443 | 1463 | Grok 4.5 |
| LMArena Text: business and finance | 1461 | 1441 | DeepSeek V4.1 Flash |
| FACTS Benchmark Suite | Not measured | 50.2% | Only Grok 4.5 measured |
| Neither model has a result on the other 6 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index90
| Benchmark | DeepSeek V4.1 Flash | Grok 4.5 | Leader |
|---|---|---|---|
| Design Arena: websites | 1308 | 1281 | DeepSeek V4.1 Flash |
| Design Arena: UI components | 1312 | 1280 | DeepSeek V4.1 Flash |
| Design Arena: game dev | 1330 | 1264 | DeepSeek V4.1 Flash |
| Design Arena: data viz | 1291 | 1266 | DeepSeek V4.1 Flash |
| Design Arena: 3D | 1355 | 1257 | DeepSeek V4.1 Flash |
| Design Arena: all code categories | 1320 | 1275 | DeepSeek V4.1 Flash |
| Design Arena: SVG | 1245 | 1215 | DeepSeek V4.1 Flash |
| Design Arena: ASCII art | 1265 | 1256 | DeepSeek V4.1 Flash |
| LiveBench design | 79.2% | 78.1% | DeepSeek V4.1 Flash |
GeneralLike-for-likePublic boards, shown as published, kept out of the index229
| Benchmark | DeepSeek V4.1 Flash | Grok 4.5 | Leader |
|---|---|---|---|
| LiveBench data analysis | 79.3% | 73.0% | DeepSeek V4.1 Flash |
| Public Benefits Bench (Vals AI) | 64.3% | Not measured | Only DeepSeek V4.1 Flash measured |
| SAGE (Vals AI) | 47.9% | 35.0% | DeepSeek V4.1 Flash |
| MedScribe (Vals AI) | 85.5% | 86.9% | Grok 4.5 |
| Vals Multimodal Index | Not measured | 63.4% | Only Grok 4.5 measured |
| Long context reasoning (AA-LCR) | 84.0% | 79.3% | DeepSeek V4.1 Flash |
| DTBench | 89.9% | 96.5% | Grok 4.5 |
| LMCA | 47.0% | 45.2% | DeepSeek V4.1 Flash |
| Surface Evolver Bench | 46.3% | 74.4% | Grok 4.5 |
| Furniture assembly | 34.2% | 22.5% | DeepSeek V4.1 Flash |
| LMArena Text | 1464 | 1448 | DeepSeek V4.1 Flash |
| LMArena Text: instruction following | 1473 | 1445 | DeepSeek V4.1 Flash |
| LMArena Text: creative writing | 1437 | 1442 | Grok 4.5 |
| LMArena Vision | 1278 | 1287 | Grok 4.5 |
| LMArena Text: English | 1473 | 1453 | DeepSeek V4.1 Flash |
| LMArena Text: non-English | 1449 | 1440 | DeepSeek V4.1 Flash |
| LMArena Text: Chinese | 1501 | 1495 | DeepSeek V4.1 Flash |
| LMArena Text: German | 1470 | 1448 | DeepSeek V4.1 Flash |
| LMArena Text: Japanese | 1432 | 1430 | DeepSeek V4.1 Flash |
| LMArena Text: Korean | 1436 | 1406 | DeepSeek V4.1 Flash |
| LMArena Text: French | 1465 | 1457 | DeepSeek V4.1 Flash |
| LMArena Text: Spanish | 1459 | 1451 | DeepSeek V4.1 Flash |
| LMArena Text: Russian | 1467 | 1449 | DeepSeek V4.1 Flash |
| LMArena Text: Polish | 1457 | 1432 | DeepSeek V4.1 Flash |
| LMArena Text: multi-turn | 1461 | 1456 | DeepSeek V4.1 Flash |
| LMArena Text: longer queries | 1473 | 1462 | DeepSeek V4.1 Flash |
| LMArena Text: writing and language | 1450 | 1445 | DeepSeek V4.1 Flash |
| LMArena Text: entertainment and media | 1445 | 1434 | DeepSeek V4.1 Flash |
| LMArena Vision: English | 1288 | 1285 | DeepSeek V4.1 Flash |
| LMArena Vision: Chinese | 1327 | 1345 | Grok 4.5 |
| LMArena Vision: reading text | 1282 | 1293 | Grok 4.5 |
| LMArena Vision: humor | 1260 | 1276 | Grok 4.5 |
| LMArena Vision: creative writing | 1275 | 1293 | Grok 4.5 |
| LMArena Document | Not measured | 1452 | Only Grok 4.5 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 | DeepSeek V4.1 Flash | Grok 4.5 | 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 | SpaceXAI Grok 4.5 |
|---|---|---|
| Maker | DeepSeek | xAI |
| Weights | Open weights | No public weights listed |
| Released | September 10, 2026 | July 8, 2026 |
| Context window | 1.05M | 500K |
| Input $/Mtok | $0.2225 | $2.00 |
| Output $/Mtok | $0.84 | $6.00 |
| Coding index | 62.5 | 58.6 |
| Independent measurements behind it | 5 | 6 |
| Cost per solved task | Not computable | $0.62 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is DeepSeek V4.1 Flash better than Grok 4.5 for coding?
Pick DeepSeek V4.1 Flash for coding: it scores 62.5 on the Vibe Coding Index against 58.6 for Grok 4.5, though on 5 benchmarks against 6. Pick Grok 4.5 for work measured by LiveBench coding or IOI (Vals AI), where it leads.
Which is cheaper, DeepSeek V4.1 Flash or Grok 4.5?
DeepSeek V4.1 Flash costs $0.2225 per million input tokens and $0.84 per million output tokens; Grok 4.5 costs $2.00 and $6.00. Cost per solved task is known for Grok 4.5 only.
Which has the bigger context window, DeepSeek V4.1 Flash or Grok 4.5?
DeepSeek V4.1 Flash, with 1.05M tokens against 500K.
How many benchmarks is the DeepSeek V4.1 Flash vs Grok 4.5 comparison based on?
93 benchmarks have a result for both models as of October 22, 2026. DeepSeek V4.1 Flash's coding index rests on 5 independent benchmarks and Grok 4.5's on 6. Where only one model has a result, the page says so instead of naming a winner.