DeepSeek V4 Pro 0423 vs Grok 4.7
Grok 4.7 leads DeepSeek V4 Pro 0423 on coding, 66.7 to 38.7 on the Vibe Coding Index, and DeepSeek V4 Pro 0423 costs 2.2x less per output token ($2.716 vs $6.00 per million). Updated October 21, 2026; 64 benchmarks have a result for both.
DeepSeek V4 Pro 0423 or Grok 4.7: which to pick
Pick Grok 4.7 for coding: it scores 66.7 on the Vibe Coding Index against 38.7 for DeepSeek V4 Pro 0423.
Pick DeepSeek V4 Pro 0423 for output tokens 2.2x cheaper ($2.716 vs $6.00 per million) and a larger context window (1.05M against 500K tokens).
- Shared results
- 64
- DeepSeek V4 Pro 0423 only
- 20
- Grok 4.7 only
- 35
- 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
Grok 4.7
Grok 4.7 scores 66.7 against 38.7.
5 benchmarks behind each score
Intelligence
AA Intelligence Index
Grok 4.7
Grok 4.7 leads, 46.4 against 30.4.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only DeepSeek V4 Pro 0423 has a AA Agentic Index result, 26.3.
Directional only
Reasoning
GPQA Diamond
No call
Only DeepSeek V4 Pro 0423 has a GPQA Diamond result, 89.4%.
Directional only
Knowledge
MMLU Pro
No call
Only DeepSeek V4 Pro 0423 has a MMLU Pro result, 87.3%.
Directional only
Web design
Design Arena: websites
Grok 4.7
Grok 4.7 leads, 1254 against 1234.
Same board, both measured
General
Vals Index
No call
Only Grok 4.7 has a Vals Index result, 58.6%.
Directional only
Long documents
Listed context window
DeepSeek V4 Pro 0423
DeepSeek V4 Pro 0423 takes 1.05M tokens against 500K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
DeepSeek V4 Pro 0423
DeepSeek V4 Pro 0423 $0.0026, Grok 4.7 $0.0050 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only DeepSeek V4 Pro 0423 has the number, $0.57.
Directional only
At a glance
- Coding index
- DeepSeek V4 Pro 0423 38.7 from 5 benchmarks, Grok 4.7 66.7 from 5 benchmarks.
- Widest category
- Coding, 22.2 points apart on average over 11 shared benchmarks.
- Widest single gap
- FrontierCode: DeepSeek V4 Pro 0423 17.6% against Grok 4.7 47.6%, 46.1 points apart on a 0 to 100 scale.
- Output price
- DeepSeek V4 Pro 0423 $2.716 against Grok 4.7 $6.00 per million output tokens, 2.2x apart.
- Context window
- DeepSeek V4 Pro 0423 takes 1.05M tokens, Grok 4.7 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 Pro 0423 | Bars | Grok 4.7 | Ties |
|---|---|---|---|---|
| Coding | 2 | 9 | ||
| Intelligence | 0 | 2 | ||
| Agentic work | 0 | 5 | ||
| Reasoning | 3 | 3 | ||
| Math | 2 | 4 | ||
| Knowledge | 4 | 3 | ||
| Web design | 0 | 6 | ||
| General | 17 | 4 | ||
| All shared boards | 28 | 36 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index29
| Benchmark | DeepSeek V4 Pro 0423 | Grok 4.7 | Leader |
|---|---|---|---|
| LiveBench coding | Not measured | 84.5% | Only Grok 4.7 measured |
| LMArena WebDev | 1447 | 1637 | Grok 4.7 |
| AA Coding Index | 59.4 | Not measured | Only DeepSeek V4 Pro 0423 measured |
| LiveCodeBench (Vals AI) | 87.5% | Not measured | Only DeepSeek V4 Pro 0423 measured |
| SWE-bench Verified (Vals AI) | 77.4% | Not measured | Only DeepSeek V4 Pro 0423 measured |
| Terminal-Bench 4 (Vals AI) | 11.1% | 28.8% | Grok 4.7 |
| Vibe Code Bench (Vals AI) | 49.9% | 86.2% | Grok 4.7 |
| Code migration (Vals AI) | 26.2% | 44.8% | Grok 4.7 |
| ProgramBench (Vals AI) | 0.0% | 0.5% | Grok 4.7 |
| IOI (Vals AI) | Not measured | 57.7% | Only Grok 4.7 measured |
| Terminal-Bench 2.1 (Vals AI) | 50.2% | 73.4% | Grok 4.7 |
| SWE-bench Multimodal (Vals AI) | Not measured | 42.9% | Only Grok 4.7 measured |
| SkillsBench (Vals AI) | 51.3% | Not measured | Only DeepSeek V4 Pro 0423 measured |
| CyberBench (Vals AI) | Not measured | 69.5% | Only Grok 4.7 measured |
| SciCode | Not measured | 57.8% | Only Grok 4.7 measured |
| FrontierCode | 17.6% | 47.6% | Grok 4.7 |
| FrontierSWE | Not measured | 29.5% | Only Grok 4.7 measured |
| WeirdML | 48.9% | Not measured | Only DeepSeek V4 Pro 0423 measured |
| ALE-Bench | 1006.1 | Not measured | Only DeepSeek V4 Pro 0423 measured |
| LMArena Text: coding | 1470 | 1432 | DeepSeek V4 Pro 0423 |
| LMArena Text: software and IT | 1469 | 1421 | DeepSeek V4 Pro 0423 |
| LMArena WebDev: React | 1441 | 1663 | Grok 4.7 |
| LMArena WebDev: HTML | 1435 | 1627 | Grok 4.7 |
| LMArena WebDev: from an image | Not measured | 1586 | Only Grok 4.7 measured |
| Neither model has a result on the other 15 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | DeepSeek V4 Pro 0423 | Grok 4.7 | Leader |
|---|---|---|---|
| AA Intelligence Index | 30.4 | 46.4 | Grok 4.7 |
| Epoch Capabilities Index | 149.1 | 154.4 | Grok 4.7 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | DeepSeek V4 Pro 0423 | Grok 4.7 | Leader |
|---|---|---|---|
| AA Agentic Index | 26.3 | Not measured | Only DeepSeek V4 Pro 0423 measured |
| Design Arena: agents building web apps | 1000 | Not measured | Only DeepSeek V4 Pro 0423 measured |
| Design Arena: agents building full-stack apps | 948 | Not measured | Only DeepSeek V4 Pro 0423 measured |
| Design Arena: agents building Godot games | 1059 | Not measured | Only DeepSeek V4 Pro 0423 measured |
| LiveBench research | Not measured | 86.4% | Only Grok 4.7 measured |
| LiveBench browser | Not measured | 60.0% | Only Grok 4.7 measured |
| LiveBench long agentic | Not measured | 50.1% | Only Grok 4.7 measured |
| SREBench (Vals AI) | Not measured | 3.8% | Only Grok 4.7 measured |
| Finance Agent (Vals AI) | 44.1% | 52.3% | Grok 4.7 |
| Tax Agent Bench (Vals AI) | 25.2% | 34.2% | Grok 4.7 |
| Legal Research Bench (Vals AI) | 23.1% | 47.1% | Grok 4.7 |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 18.3% | Only Grok 4.7 measured |
| Excel Modeling Benchmark (Vals AI) | 51.6% | 67.0% | Grok 4.7 |
| BioMysteryBench (Vals AI) | Not measured | 69.3% | Only Grok 4.7 measured |
| Terminal-Bench-Science (Vals AI) | Not measured | 10.0% | Only Grok 4.7 measured |
| Vals Science Index | Not measured | 34.8% | Only Grok 4.7 measured |
| Robo-bench (Vals AI) | Not measured | 0.2% | Only Grok 4.7 measured |
| APEX-Agents | Not measured | 54.6% | Only Grok 4.7 measured |
| Vending-Bench 2 | $3,285 | $10,537 | Grok 4.7 |
| Neither model has a result on the other 22 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index33
| Benchmark | DeepSeek V4 Pro 0423 | Grok 4.7 | Leader |
|---|---|---|---|
| GPQA Diamond | 89.4% | Not measured | Only DeepSeek V4 Pro 0423 measured |
| LiveBench reasoning | Not measured | 82.7% | Only Grok 4.7 measured |
| MysteryMechanism (Vals AI) | Not measured | 25.2% | Only Grok 4.7 measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 43.1% | Only Grok 4.7 measured |
| GPQA Diamond (Epoch AI run) | 90.9% | 92.7% | Grok 4.7 |
| ARC-AGI | Not measured | 90.2% | Only Grok 4.7 measured |
| ARC-AGI-2 | Not measured | 61.4% | Only Grok 4.7 measured |
| Chess puzzles | 19.0% | 41.0% | Grok 4.7 |
| Mystery game puzzles | 17.0% | 29.0% | Grok 4.7 |
| LMArena Text: hard prompts | 1461 | 1415 | DeepSeek V4 Pro 0423 |
| LMArena Text: expert | 1463 | 1439 | DeepSeek V4 Pro 0423 |
| LMArena Text: hard prompts in English | 1466 | 1427 | DeepSeek V4 Pro 0423 |
| LMArena Vision: diagrams | Not measured | 1254 | Only Grok 4.7 measured |
| LMArena Vision: homework | Not measured | 1309 | Only Grok 4.7 measured |
| Kagi LLM Benchmark | 53.5% | Not measured | Only DeepSeek V4 Pro 0423 measured |
| Neither model has a result on the other 7 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index24
| Benchmark | DeepSeek V4 Pro 0423 | Grok 4.7 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 96.7% | 98.1% | Grok 4.7 |
| FrontierMath, tiers 1 to 3 | 45.3% | 53.0% | Grok 4.7 |
| FrontierMath, tier 4 | 2.4% | 17.1% | Grok 4.7 |
| ProofBench | 16.0% | 26.0% | Grok 4.7 |
| LMArena Text: math | 1443 | 1414 | DeepSeek V4 Pro 0423 |
| LMArena Text: mathematical work | 1455 | 1435 | 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 index43
| Benchmark | DeepSeek V4 Pro 0423 | Grok 4.7 | Leader |
|---|---|---|---|
| MMLU Pro | 87.3% | Not measured | Only DeepSeek V4 Pro 0423 measured |
| LegalBench (Vals AI) | 80.3% | 84.4% | Grok 4.7 |
| CaseLaw (Vals AI) | 59.4% | Not measured | Only DeepSeek V4 Pro 0423 measured |
| CorpFin (Vals AI) | 61.4% | Not measured | Only DeepSeek V4 Pro 0423 measured |
| TaxEval (Vals AI) | 72.1% | Not measured | Only DeepSeek V4 Pro 0423 measured |
| MedCode (Vals AI) | 40.5% | 49.5% | Grok 4.7 |
| SimpleQA Verified | 47.0% | 56.0% | Grok 4.7 |
| LMArena Text: science | 1470 | 1419 | DeepSeek V4 Pro 0423 |
| LMArena Text: medicine and healthcare | 1466 | 1395 | DeepSeek V4 Pro 0423 |
| LMArena Text: legal and government | 1464 | 1423 | DeepSeek V4 Pro 0423 |
| LMArena Text: business and finance | 1443 | 1389 | DeepSeek V4 Pro 0423 |
| Neither model has a result on the other 7 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index06
| Benchmark | DeepSeek V4 Pro 0423 | Grok 4.7 | Leader |
|---|---|---|---|
| Design Arena: websites | 1234 | 1254 | Grok 4.7 |
| Design Arena: UI components | 1222 | 1275 | Grok 4.7 |
| Design Arena: game dev | 1229 | 1313 | Grok 4.7 |
| Design Arena: data viz | 1203 | 1235 | Grok 4.7 |
| Design Arena: 3D | 1254 | 1270 | Grok 4.7 |
| Design Arena: all code categories | 1240 | 1271 | Grok 4.7 |
| Design Arena: SVG | 1140 | Not measured | Only DeepSeek V4 Pro 0423 measured |
| Design Arena: ASCII art | 1149 | Not measured | Only DeepSeek V4 Pro 0423 measured |
| LiveBench design | Not measured | 78.0% | Only Grok 4.7 measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index174
| Benchmark | DeepSeek V4 Pro 0423 | Grok 4.7 | Leader |
|---|---|---|---|
| Vals Index | Not measured | 58.6% | Only Grok 4.7 measured |
| LiveBench data analysis | Not measured | 76.9% | Only Grok 4.7 measured |
| Public Benefits Bench (Vals AI) | 62.9% | 65.6% | Grok 4.7 |
| SAGE (Vals AI) | Not measured | 40.8% | Only Grok 4.7 measured |
| MedScribe (Vals AI) | 75.1% | 89.4% | Grok 4.7 |
| Long context reasoning (AA-LCR) | Not measured | 80.0% | Only Grok 4.7 measured |
| DTBench | 90.7% | 96.0% | Grok 4.7 |
| LMCA | 41.2% | 49.4% | Grok 4.7 |
| Surface Evolver Bench | 40.0% | Not measured | Only DeepSeek V4 Pro 0423 measured |
| Furniture assembly | Not measured | 20.8% | Only Grok 4.7 measured |
| CL-bench Life | 13.5% | Not measured | Only DeepSeek V4 Pro 0423 measured |
| LMArena Text | 1451 | 1399 | DeepSeek V4 Pro 0423 |
| LMArena Text: instruction following | 1445 | 1406 | DeepSeek V4 Pro 0423 |
| LMArena Text: creative writing | 1446 | 1381 | DeepSeek V4 Pro 0423 |
| LMArena Vision | Not measured | 1231 | Only Grok 4.7 measured |
| LMArena Text: English | 1459 | 1411 | DeepSeek V4 Pro 0423 |
| LMArena Text: non-English | 1439 | 1386 | DeepSeek V4 Pro 0423 |
| LMArena Text: Chinese | 1481 | 1449 | DeepSeek V4 Pro 0423 |
| LMArena Text: German | 1458 | 1366 | DeepSeek V4 Pro 0423 |
| LMArena Text: Japanese | 1446 | 1359 | DeepSeek V4 Pro 0423 |
| LMArena Text: Korean | 1409 | 1383 | DeepSeek V4 Pro 0423 |
| LMArena Text: French | 1473 | 1431 | DeepSeek V4 Pro 0423 |
| LMArena Text: Spanish | 1457 | 1406 | DeepSeek V4 Pro 0423 |
| LMArena Text: Russian | 1453 | 1399 | DeepSeek V4 Pro 0423 |
| LMArena Text: Polish | 1461 | 1420 | DeepSeek V4 Pro 0423 |
| LMArena Text: multi-turn | 1468 | 1394 | DeepSeek V4 Pro 0423 |
| LMArena Text: longer queries | 1458 | 1416 | DeepSeek V4 Pro 0423 |
| LMArena Text: writing and language | 1447 | 1394 | DeepSeek V4 Pro 0423 |
| LMArena Text: entertainment and media | 1431 | 1376 | DeepSeek V4 Pro 0423 |
| LMArena Vision: English | Not measured | 1229 | Only Grok 4.7 measured |
| LMArena Vision: Chinese | Not measured | 1250 | Only Grok 4.7 measured |
| LMArena Vision: reading text | Not measured | 1241 | Only Grok 4.7 measured |
| LMArena Vision: creative writing | Not measured | 1217 | Only Grok 4.7 measured |
| Neither model has a result on the other 13 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | DeepSeek V4 Pro 0423 | Grok 4.7 | 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 Pro 0423 costs less
Repository review
50K input + 3K output tokens
DeepSeek V4 Pro 0423 costs less
Agent loop
200K input + 10K output tokens
DeepSeek V4 Pro 0423 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 4.7 |
|---|---|---|
| Maker | DeepSeek | xAI |
| Weights | Open weights | No public weights listed |
| Released | April 24, 2026 | September 21, 2026 |
| Context window | 1.05M | 500K |
| Input $/Mtok | $1.225 | $2.00 |
| Output $/Mtok | $2.716 | $6.00 |
| Coding index | 38.7 | 66.7 |
| Independent measurements behind it | 5 | 5 |
| Cost per solved task | $0.57 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is DeepSeek V4 Pro 0423 better than Grok 4.7 for coding?
Pick Grok 4.7 for coding: it scores 66.7 on the Vibe Coding Index against 38.7 for DeepSeek V4 Pro 0423. Pick DeepSeek V4 Pro 0423 for output tokens 2.2x cheaper ($2.716 vs $6.00 per million) and a larger context window (1.05M against 500K tokens).
Which is cheaper, DeepSeek V4 Pro 0423 or Grok 4.7?
DeepSeek V4 Pro 0423 costs $1.225 per million input tokens and $2.716 per million output tokens; Grok 4.7 costs $2.00 and $6.00. Cost per solved task is known for DeepSeek V4 Pro 0423 only.
Which has the bigger context window, DeepSeek V4 Pro 0423 or Grok 4.7?
DeepSeek V4 Pro 0423, with 1.05M tokens against 500K.
How many benchmarks is the DeepSeek V4 Pro 0423 vs Grok 4.7 comparison based on?
64 benchmarks have a result for both models as of October 21, 2026. DeepSeek V4 Pro 0423's coding index rests on 5 independent benchmarks and Grok 4.7's on 5. Where only one model has a result, the page says so instead of naming a winner.