DeepSeek V4 Pro 0423 vs Grok 4.3
DeepSeek V4 Pro 0423 leads Grok 4.3 on coding, 38.7 to 37.4 on the Vibe Coding Index, at about the same output price ($2.976 vs $2.50 per million). Updated October 22, 2026; 77 benchmarks have a result for both.
DeepSeek V4 Pro 0423 or Grok 4.3: which to pick
DeepSeek V4 Pro 0423 and Grok 4.3 are level for coding, 38.7 against 37.4 on the Vibe Coding Index, so price and context decide.
Pick Grok 4.3 for output tokens 1.2x cheaper ($2.50 vs $2.976 per million) and a lower cost per solved task ($0.31 against $0.57). Pick DeepSeek V4 Pro 0423 for a larger context window (1.05M against 1M tokens) and work measured by LMArena WebDev or AA Coding Index, where it leads.
- Shared results
- 77
- DeepSeek V4 Pro 0423 only
- 7
- Grok 4.3 only
- 28
- 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
No call
Level: 38.7 against 37.4, inside 2 points.
5 and 3 benchmarks behind the scores
Intelligence
AA Intelligence Index
DeepSeek V4 Pro 0423
DeepSeek V4 Pro 0423 leads, 30.4 against 24.9.
Same board, both measured
Agentic work
AA Agentic Index
DeepSeek V4 Pro 0423
DeepSeek V4 Pro 0423 leads, 26.3 against 15.5.
Same board, both measured
Reasoning
GPQA Diamond
Grok 4.3
Grok 4.3 leads, 91.4% against 89.4%.
Same board, both measured
Knowledge
MMLU Pro
DeepSeek V4 Pro 0423
DeepSeek V4 Pro 0423 leads, 87.3% against 85.8%.
Same board, both measured
Web design
Design Arena: websites
DeepSeek V4 Pro 0423
DeepSeek V4 Pro 0423 leads, 1234 against 1196.
Same board, both measured
Long documents
Listed context window
DeepSeek V4 Pro 0423
DeepSeek V4 Pro 0423 takes 1.05M tokens against 1M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Grok 4.3
DeepSeek V4 Pro 0423 $0.0028, Grok 4.3 $0.0025 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Grok 4.3
DeepSeek V4 Pro 0423 $0.57, Grok 4.3 $0.31.
Published attempt cost and pass rate
At a glance
- Coding index
- DeepSeek V4 Pro 0423 38.7 from 5 benchmarks, Grok 4.3 37.4 from 3 benchmarks.
- Widest category
- Agentic work, 15.4 points apart on average over 9 shared benchmarks.
- Widest single gap
- Excel Modeling Benchmark (Vals AI): DeepSeek V4 Pro 0423 51.6% against Grok 4.3 18.4%, 33.2 points apart on a 0 to 100 scale.
- Output price
- DeepSeek V4 Pro 0423 $2.976 against Grok 4.3 $2.50 per million output tokens, 1.2x apart.
- Context window
- DeepSeek V4 Pro 0423 takes 1.05M tokens, Grok 4.3 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 Pro 0423 | Bars | Grok 4.3 | Ties |
|---|---|---|---|---|
| Coding | 13 | 1 | 1 tie | |
| Intelligence | 1 | 0 | ||
| Agentic work | 7 | 2 | ||
| Reasoning | 5 | 1 | ||
| Math | 5 | 1 | ||
| Knowledge | 8 | 3 | ||
| Web design | 8 | 0 | ||
| General | 20 | 0 | 1 tie | |
| All shared boards | 67 | 8 | 2 ties |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index131
| Benchmark | DeepSeek V4 Pro 0423 | Grok 4.3 | Leader |
|---|---|---|---|
| LMArena WebDev | 1447 | 1358 | DeepSeek V4 Pro 0423 |
| AA Coding Index | 59.4 | 42.2 | DeepSeek V4 Pro 0423 |
| LiveCodeBench (Vals AI) | 87.5% | 84.5% | DeepSeek V4 Pro 0423 |
| SWE-bench Verified (Vals AI) | 77.4% | 71.4% | DeepSeek V4 Pro 0423 |
| Terminal-Bench 4 (Vals AI) | 11.1% | Not measured | Only DeepSeek V4 Pro 0423 measured |
| Vibe Code Bench (Vals AI) | 49.9% | 19.4% | DeepSeek V4 Pro 0423 |
| Code migration (Vals AI) | 26.2% | 6.8% | DeepSeek V4 Pro 0423 |
| ProgramBench (Vals AI) | 0.0% | 0.0% | Tie |
| Terminal-Bench 2.1 (Vals AI) | 50.2% | 42.0% | DeepSeek V4 Pro 0423 |
| SkillsBench (Vals AI) | 51.3% | 40.6% | DeepSeek V4 Pro 0423 |
| SciCode | Not measured | 48.3% | Only Grok 4.3 measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 37.9% | Only Grok 4.3 measured |
| FrontierCode | 17.6% | Not measured | Only DeepSeek V4 Pro 0423 measured |
| WeirdML | 48.9% | 49.9% | Grok 4.3 |
| ALE-Bench | 1006.1 | 944.2 | DeepSeek V4 Pro 0423 |
| LMArena Text: coding | 1470 | 1415 | DeepSeek V4 Pro 0423 |
| LMArena Text: software and IT | 1469 | 1416 | DeepSeek V4 Pro 0423 |
| LMArena WebDev: React | 1441 | 1353 | DeepSeek V4 Pro 0423 |
| LMArena WebDev: HTML | 1435 | 1367 | DeepSeek V4 Pro 0423 |
| LMArena WebDev: from an image | Not measured | 1375 | Only Grok 4.3 measured |
| Neither model has a result on the other 19 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | DeepSeek V4 Pro 0423 | Grok 4.3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 30.4 | 24.9 | DeepSeek V4 Pro 0423 |
| Epoch Capabilities Index | 149.1 | Not measured | Only DeepSeek V4 Pro 0423 measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index72
| Benchmark | DeepSeek V4 Pro 0423 | Grok 4.3 | Leader |
|---|---|---|---|
| AA Agentic Index | 26.3 | 15.5 | DeepSeek V4 Pro 0423 |
| Design Arena: agents building web apps | 1000 | 1126 | Grok 4.3 |
| Design Arena: agents building full-stack apps | 948 | 1006 | Grok 4.3 |
| Design Arena: agents building mobile apps | Not measured | 1058 | Only Grok 4.3 measured |
| Design Arena: agents building Android apps | Not measured | 962 | Only Grok 4.3 measured |
| Design Arena: agents building Godot games | 1059 | 914 | DeepSeek V4 Pro 0423 |
| Design Arena: agents building games | Not measured | 1007 | Only Grok 4.3 measured |
| Design Arena: HTML slides | Not measured | 959 | Only Grok 4.3 measured |
| Design Arena: PowerPoint slides | Not measured | 988 | Only Grok 4.3 measured |
| Design Arena: spreadsheets | Not measured | 879 | Only Grok 4.3 measured |
| Finance Agent (Vals AI) | 44.1% | 37.7% | DeepSeek V4 Pro 0423 |
| Tax Agent Bench (Vals AI) | 25.2% | 6.2% | DeepSeek V4 Pro 0423 |
| Legal Research Bench (Vals AI) | 23.1% | 15.4% | DeepSeek V4 Pro 0423 |
| Excel Modeling Benchmark (Vals AI) | 51.6% | 18.4% | DeepSeek V4 Pro 0423 |
| τ²-Bench Telecom | Not measured | 97.7% | Only Grok 4.3 measured |
| Vending-Bench 2 | $3,285 | $35 | DeepSeek V4 Pro 0423 |
| LMArena Search | Not measured | 1166 | Only Grok 4.3 measured |
| Neither model has a result on the other 24 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index51
| Benchmark | DeepSeek V4 Pro 0423 | Grok 4.3 | Leader |
|---|---|---|---|
| GPQA Diamond | 89.4% | 91.4% | Grok 4.3 |
| MMMU Pro (Vals AI) | Not measured | 83.1% | Only Grok 4.3 measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 90.1% | Only Grok 4.3 measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 37.2% | Only Grok 4.3 measured |
| GPQA Diamond (Epoch AI run) | 90.9% | 88.8% | DeepSeek V4 Pro 0423 |
| Chess puzzles | 19.0% | 18.0% | DeepSeek V4 Pro 0423 |
| Mystery game puzzles | 17.0% | Not measured | Only DeepSeek V4 Pro 0423 measured |
| LMArena Text: hard prompts | 1461 | 1396 | DeepSeek V4 Pro 0423 |
| LMArena Text: expert | 1463 | 1384 | DeepSeek V4 Pro 0423 |
| LMArena Text: hard prompts in English | 1466 | 1402 | DeepSeek V4 Pro 0423 |
| LMArena Vision: diagrams | Not measured | 1241 | Only Grok 4.3 measured |
| LMArena Vision: homework | Not measured | 1241 | Only Grok 4.3 measured |
| Kagi LLM Benchmark | 53.5% | Not measured | Only DeepSeek V4 Pro 0423 measured |
| Neither model has a result on the other 9 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index51
| Benchmark | DeepSeek V4 Pro 0423 | Grok 4.3 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 96.7% | 93.3% | DeepSeek V4 Pro 0423 |
| FrontierMath, tiers 1 to 3 | 45.3% | 42.8% | DeepSeek V4 Pro 0423 |
| FrontierMath, tier 4 | 2.4% | 14.6% | Grok 4.3 |
| ProofBench | 16.0% | 11.0% | DeepSeek V4 Pro 0423 |
| LMArena Text: math | 1443 | 1387 | DeepSeek V4 Pro 0423 |
| LMArena Text: mathematical work | 1455 | 1396 | DeepSeek V4 Pro 0423 |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index83
| Benchmark | DeepSeek V4 Pro 0423 | Grok 4.3 | Leader |
|---|---|---|---|
| MMLU Pro | 87.3% | 85.8% | DeepSeek V4 Pro 0423 |
| LegalBench (Vals AI) | 80.3% | 84.5% | Grok 4.3 |
| CaseLaw (Vals AI) | 59.4% | 79.3% | Grok 4.3 |
| CorpFin (Vals AI) | 61.4% | 68.5% | Grok 4.3 |
| TaxEval (Vals AI) | 72.1% | 70.8% | DeepSeek V4 Pro 0423 |
| MortgageTax (Vals AI) | Not measured | 48.3% | Only Grok 4.3 measured |
| MedCode (Vals AI) | 40.5% | 38.1% | DeepSeek V4 Pro 0423 |
| SimpleQA Verified | 47.0% | 33.2% | DeepSeek V4 Pro 0423 |
| LMArena Text: science | 1470 | 1399 | DeepSeek V4 Pro 0423 |
| LMArena Text: medicine and healthcare | 1466 | 1384 | DeepSeek V4 Pro 0423 |
| LMArena Text: legal and government | 1464 | 1386 | DeepSeek V4 Pro 0423 |
| LMArena Text: business and finance | 1443 | 1381 | DeepSeek V4 Pro 0423 |
| Neither model has a result on the other 6 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index80
| Benchmark | DeepSeek V4 Pro 0423 | Grok 4.3 | Leader |
|---|---|---|---|
| Design Arena: websites | 1234 | 1196 | DeepSeek V4 Pro 0423 |
| Design Arena: UI components | 1219 | 1190 | DeepSeek V4 Pro 0423 |
| Design Arena: game dev | 1228 | 1173 | DeepSeek V4 Pro 0423 |
| Design Arena: data viz | 1203 | 1179 | DeepSeek V4 Pro 0423 |
| Design Arena: 3D | 1253 | 1124 | DeepSeek V4 Pro 0423 |
| Design Arena: all code categories | 1240 | 1186 | DeepSeek V4 Pro 0423 |
| Design Arena: SVG | 1139 | 1080 | DeepSeek V4 Pro 0423 |
| Design Arena: ASCII art | 1149 | 1125 | DeepSeek V4 Pro 0423 |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index200
| Benchmark | DeepSeek V4 Pro 0423 | Grok 4.3 | Leader |
|---|---|---|---|
| Public Benefits Bench (Vals AI) | 62.9% | 51.7% | DeepSeek V4 Pro 0423 |
| SAGE (Vals AI) | Not measured | 19.7% | Only Grok 4.3 measured |
| MedScribe (Vals AI) | 75.1% | 74.4% | DeepSeek V4 Pro 0423 |
| Vals Multimodal Index | Not measured | 43.3% | Only Grok 4.3 measured |
| IFBench | Not measured | 83.3% | Only Grok 4.3 measured |
| Long context reasoning (AA-LCR) | Not measured | 75.0% | Only Grok 4.3 measured |
| DTBench | 90.7% | 90.7% | Tie |
| LMCA | 41.2% | 38.3% | DeepSeek V4 Pro 0423 |
| Surface Evolver Bench | 40.0% | Not measured | Only DeepSeek V4 Pro 0423 measured |
| CL-bench Life | 13.5% | Not measured | Only DeepSeek V4 Pro 0423 measured |
| LMArena Text | 1451 | 1397 | DeepSeek V4 Pro 0423 |
| LMArena Text: instruction following | 1445 | 1366 | DeepSeek V4 Pro 0423 |
| LMArena Text: creative writing | 1446 | 1380 | DeepSeek V4 Pro 0423 |
| LMArena Vision | Not measured | 1229 | Only Grok 4.3 measured |
| LMArena Text: English | 1459 | 1404 | DeepSeek V4 Pro 0423 |
| LMArena Text: non-English | 1439 | 1385 | DeepSeek V4 Pro 0423 |
| LMArena Text: Chinese | 1481 | 1422 | DeepSeek V4 Pro 0423 |
| LMArena Text: German | 1458 | 1395 | DeepSeek V4 Pro 0423 |
| LMArena Text: Japanese | 1446 | 1379 | DeepSeek V4 Pro 0423 |
| LMArena Text: Korean | 1409 | 1354 | DeepSeek V4 Pro 0423 |
| LMArena Text: French | 1473 | 1411 | DeepSeek V4 Pro 0423 |
| LMArena Text: Spanish | 1457 | 1399 | DeepSeek V4 Pro 0423 |
| LMArena Text: Russian | 1453 | 1399 | DeepSeek V4 Pro 0423 |
| LMArena Text: Polish | 1461 | 1398 | DeepSeek V4 Pro 0423 |
| LMArena Text: multi-turn | 1468 | 1406 | DeepSeek V4 Pro 0423 |
| LMArena Text: longer queries | 1458 | 1393 | DeepSeek V4 Pro 0423 |
| LMArena Text: writing and language | 1447 | 1385 | DeepSeek V4 Pro 0423 |
| LMArena Text: entertainment and media | 1431 | 1370 | DeepSeek V4 Pro 0423 |
| LMArena Vision: English | Not measured | 1235 | Only Grok 4.3 measured |
| LMArena Vision: Chinese | Not measured | 1257 | Only Grok 4.3 measured |
| LMArena Vision: reading text | Not measured | 1235 | Only Grok 4.3 measured |
| LMArena Vision: humor | Not measured | 1222 | Only Grok 4.3 measured |
| LMArena Vision: recognizing things | Not measured | 1217 | Only Grok 4.3 measured |
| LMArena Vision: creative writing | Not measured | 1237 | Only Grok 4.3 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 Pro 0423 | Grok 4.3 | 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
Grok 4.3 costs less
Repository review
50K input + 3K output tokens
Grok 4.3 costs less
Agent loop
200K input + 10K output tokens
Grok 4.3 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 Pro 0423 | SpaceXAI Grok 4.3 |
|---|---|---|
| Maker | DeepSeek | xAI |
| Weights | Open weights | No public weights listed |
| Released | April 24, 2026 | April 30, 2026 |
| Context window | 1.05M | 1M |
| Input $/Mtok | $1.358 | $1.25 |
| Output $/Mtok | $2.976 | $2.50 |
| Coding index | 38.7 | 37.4 |
| Independent measurements behind it | 5 | 3 |
| Cost per solved task | $0.57 | $0.31 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is DeepSeek V4 Pro 0423 better than Grok 4.3 for coding?
DeepSeek V4 Pro 0423 and Grok 4.3 are level for coding, 38.7 against 37.4 on the Vibe Coding Index, so price and context decide. Pick Grok 4.3 for output tokens 1.2x cheaper ($2.50 vs $2.976 per million) and a lower cost per solved task ($0.31 against $0.57). Pick DeepSeek V4 Pro 0423 for a larger context window (1.05M against 1M tokens) and work measured by LMArena WebDev or AA Coding Index, where it leads.
Which is cheaper, DeepSeek V4 Pro 0423 or Grok 4.3?
DeepSeek V4 Pro 0423 costs $1.358 per million input tokens and $2.976 per million output tokens; Grok 4.3 costs $1.25 and $2.50. Per solved SWE-bench Verified task, DeepSeek V4 Pro 0423 costs $0.57 and Grok 4.3 $0.31.
Which has the bigger context window, DeepSeek V4 Pro 0423 or Grok 4.3?
DeepSeek V4 Pro 0423, with 1.05M tokens against 1M.
How many benchmarks is the DeepSeek V4 Pro 0423 vs Grok 4.3 comparison based on?
77 benchmarks have a result for both models as of October 22, 2026. DeepSeek V4 Pro 0423's coding index rests on 5 independent benchmarks and Grok 4.3's on 3. Where only one model has a result, the page says so instead of naming a winner.