DeepSeek V4 Flash 0423 vs Grok 4.7
Grok 4.7 leads DeepSeek V4 Flash 0423 on the Artificial Analysis Intelligence Index, 46.4 to 24.4, and DeepSeek V4 Flash 0423 costs 21.4x less per output token ($0.28 vs $6.00 per million). Updated October 21, 2026; 41 benchmarks have a result for both.
DeepSeek V4 Flash 0423 or Grok 4.7: which to pick
Only Grok 4.7 has a coding score, 66.7 on the Vibe Coding Index; DeepSeek V4 Flash 0423 has none, so the two cannot be ranked on coding.
Pick DeepSeek V4 Flash 0423 for output tokens 21.4x cheaper ($0.28 vs $6.00 per million) and a larger context window (1.05M against 500K tokens).
- Shared results
- 41
- DeepSeek V4 Flash 0423 only
- 8
- Grok 4.7 only
- 58
- Like-for-like categories
- 7 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
Only Grok 4.7 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Grok 4.7
Grok 4.7 leads, 46.4 against 24.4.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only DeepSeek V4 Flash 0423 has a AA Agentic Index result, 26.3.
Directional only
Web design
Design Arena: websites
Grok 4.7
Grok 4.7 leads, 1254 against 1208.
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 Flash 0423
DeepSeek V4 Flash 0423 takes 1.05M tokens against 500K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
DeepSeek V4 Flash 0423
DeepSeek V4 Flash 0423 $0.0003, Grok 4.7 $0.0050 per turn.
List prices
At a glance
- Coding index
- DeepSeek V4 Flash 0423 not benchmarked, Grok 4.7 66.7 from 5 benchmarks.
- Widest category
- Intelligence, 16.2 points apart on average over 2 shared benchmarks.
- Widest single gap
- AA Intelligence Index: DeepSeek V4 Flash 0423 24.4 against Grok 4.7 46.4, 22.0 points apart on a 0 to 100 scale.
- Output price
- DeepSeek V4 Flash 0423 $0.28 against Grok 4.7 $6.00 per million output tokens, 21.4x apart.
- Context window
- DeepSeek V4 Flash 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 Flash 0423 | Bars | Grok 4.7 | Ties |
|---|---|---|---|---|
| Coding | 2 | 3 | ||
| Intelligence | 0 | 2 | ||
| Reasoning | 3 | 0 | ||
| Math | 1 | 1 | ||
| Knowledge | 4 | 0 | ||
| Web design | 0 | 6 | ||
| General | 17 | 2 | ||
| All shared boards | 27 | 14 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index23
| Benchmark | DeepSeek V4 Flash 0423 | Grok 4.7 | Leader |
|---|---|---|---|
| LiveBench coding | Not measured | 84.5% | Only Grok 4.7 measured |
| LMArena WebDev | 1582 | 1637 | Grok 4.7 |
| AA Coding Index | 52.0 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| Terminal-Bench 4 (Vals AI) | Not measured | 28.8% | Only Grok 4.7 measured |
| Vibe Code Bench (Vals AI) | Not measured | 86.2% | Only Grok 4.7 measured |
| Code migration (Vals AI) | Not measured | 44.8% | Only Grok 4.7 measured |
| ProgramBench (Vals AI) | Not measured | 0.5% | Only Grok 4.7 measured |
| IOI (Vals AI) | Not measured | 57.7% | Only Grok 4.7 measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 73.4% | Only Grok 4.7 measured |
| SWE-bench Multimodal (Vals AI) | Not measured | 42.9% | Only Grok 4.7 measured |
| CyberBench (Vals AI) | Not measured | 69.5% | Only Grok 4.7 measured |
| SciCode | Not measured | 57.8% | Only Grok 4.7 measured |
| FrontierCode | Not measured | 47.6% | Only Grok 4.7 measured |
| FrontierSWE | Not measured | 29.5% | Only Grok 4.7 measured |
| WeirdML | 45.6% | Not measured | Only DeepSeek V4 Flash 0423 measured |
| ALE-Bench | 678.2 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| LMArena Text: coding | 1457 | 1432 | DeepSeek V4 Flash 0423 |
| LMArena Text: software and IT | 1453 | 1421 | DeepSeek V4 Flash 0423 |
| LMArena WebDev: React | 1585 | 1663 | Grok 4.7 |
| LMArena WebDev: HTML | 1558 | 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 18 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | DeepSeek V4 Flash 0423 | Grok 4.7 | Leader |
|---|---|---|---|
| AA Intelligence Index | 24.4 | 46.4 | Grok 4.7 |
| Epoch Capabilities Index | 146.1 | 154.4 | Grok 4.7 |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index16 boards, none shared
| Benchmark | DeepSeek V4 Flash 0423 | Grok 4.7 | Leader |
|---|---|---|---|
| AA Agentic Index | 26.3 | Not measured | Only DeepSeek V4 Flash 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) | Not measured | 52.3% | Only Grok 4.7 measured |
| Tax Agent Bench (Vals AI) | Not measured | 34.2% | Only Grok 4.7 measured |
| Legal Research Bench (Vals AI) | Not measured | 47.1% | Only Grok 4.7 measured |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 18.3% | Only Grok 4.7 measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 67.0% | Only Grok 4.7 measured |
| 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 | Not measured | $10,537 | Only Grok 4.7 measured |
| Neither model has a result on the other 25 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | DeepSeek V4 Flash 0423 | Grok 4.7 | Leader |
|---|---|---|---|
| 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) | Not measured | 92.7% | Only Grok 4.7 measured |
| ARC-AGI | Not measured | 90.2% | Only Grok 4.7 measured |
| ARC-AGI-2 | Not measured | 61.4% | Only Grok 4.7 measured |
| SimpleBench | 46.3% | Not measured | Only DeepSeek V4 Flash 0423 measured |
| Chess puzzles | Not measured | 41.0% | Only Grok 4.7 measured |
| Mystery game puzzles | Not measured | 29.0% | Only Grok 4.7 measured |
| LMArena Text: hard prompts | 1444 | 1415 | DeepSeek V4 Flash 0423 |
| LMArena Text: expert | 1441 | 1439 | DeepSeek V4 Flash 0423 |
| LMArena Text: hard prompts in English | 1449 | 1427 | DeepSeek V4 Flash 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 | 52.2% | Not measured | Only DeepSeek V4 Flash 0423 measured |
| Neither model has a result on the other 7 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | DeepSeek V4 Flash 0423 | Grok 4.7 | Leader |
|---|---|---|---|
| OTIS Mock AIME | Not measured | 98.1% | Only Grok 4.7 measured |
| FrontierMath, tiers 1 to 3 | Not measured | 53.0% | Only Grok 4.7 measured |
| FrontierMath, tier 4 | Not measured | 17.1% | Only Grok 4.7 measured |
| ProofBench | Not measured | 26.0% | Only Grok 4.7 measured |
| LMArena Text: math | 1426 | 1414 | DeepSeek V4 Flash 0423 |
| LMArena Text: mathematical work | 1432 | 1435 | Grok 4.7 |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | DeepSeek V4 Flash 0423 | Grok 4.7 | Leader |
|---|---|---|---|
| LegalBench (Vals AI) | Not measured | 84.4% | Only Grok 4.7 measured |
| MedCode (Vals AI) | Not measured | 49.5% | Only Grok 4.7 measured |
| SimpleQA Verified | Not measured | 56.0% | Only Grok 4.7 measured |
| LMArena Text: science | 1446 | 1419 | DeepSeek V4 Flash 0423 |
| LMArena Text: medicine and healthcare | 1448 | 1395 | DeepSeek V4 Flash 0423 |
| LMArena Text: legal and government | 1439 | 1423 | DeepSeek V4 Flash 0423 |
| LMArena Text: business and finance | 1425 | 1389 | DeepSeek V4 Flash 0423 |
| Neither model has a result on the other 11 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index06
| Benchmark | DeepSeek V4 Flash 0423 | Grok 4.7 | Leader |
|---|---|---|---|
| Design Arena: websites | 1208 | 1254 | Grok 4.7 |
| Design Arena: UI components | 1165 | 1275 | Grok 4.7 |
| Design Arena: game dev | 1197 | 1313 | Grok 4.7 |
| Design Arena: data viz | 1127 | 1235 | Grok 4.7 |
| Design Arena: 3D | 1189 | 1270 | Grok 4.7 |
| Design Arena: all code categories | 1205 | 1271 | Grok 4.7 |
| Design Arena: SVG | 1155 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| Design Arena: ASCII art | 1109 | Not measured | Only DeepSeek V4 Flash 0423 measured |
| LiveBench design | Not measured | 78.0% | Only Grok 4.7 measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index172
| Benchmark | DeepSeek V4 Flash 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) | Not measured | 65.6% | Only Grok 4.7 measured |
| SAGE (Vals AI) | Not measured | 40.8% | Only Grok 4.7 measured |
| MedScribe (Vals AI) | Not measured | 89.4% | Only Grok 4.7 measured |
| Long context reasoning (AA-LCR) | Not measured | 80.0% | Only Grok 4.7 measured |
| DTBench | 86.4% | 96.0% | Grok 4.7 |
| LMCA | 35.9% | 49.4% | Grok 4.7 |
| Furniture assembly | Not measured | 20.8% | Only Grok 4.7 measured |
| LMArena Text | 1432 | 1399 | DeepSeek V4 Flash 0423 |
| LMArena Text: instruction following | 1421 | 1406 | DeepSeek V4 Flash 0423 |
| LMArena Text: creative writing | 1403 | 1381 | DeepSeek V4 Flash 0423 |
| LMArena Vision | Not measured | 1231 | Only Grok 4.7 measured |
| LMArena Text: English | 1441 | 1411 | DeepSeek V4 Flash 0423 |
| LMArena Text: non-English | 1419 | 1386 | DeepSeek V4 Flash 0423 |
| LMArena Text: Chinese | 1463 | 1449 | DeepSeek V4 Flash 0423 |
| LMArena Text: German | 1419 | 1366 | DeepSeek V4 Flash 0423 |
| LMArena Text: Japanese | 1389 | 1359 | DeepSeek V4 Flash 0423 |
| LMArena Text: Korean | 1383 | 1383 | DeepSeek V4 Flash 0423 |
| LMArena Text: French | 1439 | 1431 | DeepSeek V4 Flash 0423 |
| LMArena Text: Spanish | 1436 | 1406 | DeepSeek V4 Flash 0423 |
| LMArena Text: Russian | 1427 | 1399 | DeepSeek V4 Flash 0423 |
| LMArena Text: Polish | 1436 | 1420 | DeepSeek V4 Flash 0423 |
| LMArena Text: multi-turn | 1449 | 1394 | DeepSeek V4 Flash 0423 |
| LMArena Text: longer queries | 1434 | 1416 | DeepSeek V4 Flash 0423 |
| LMArena Text: writing and language | 1410 | 1394 | DeepSeek V4 Flash 0423 |
| LMArena Text: entertainment and media | 1400 | 1376 | DeepSeek V4 Flash 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 15 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | DeepSeek V4 Flash 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 Flash 0423 costs less
Repository review
50K input + 3K output tokens
DeepSeek V4 Flash 0423 costs less
Agent loop
200K input + 10K output tokens
DeepSeek V4 Flash 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 Flash 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 | $0.13 | $2.00 |
| Output $/Mtok | $0.28 | $6.00 |
| Coding index | Not benchmarked | 66.7 |
| Independent measurements behind it | 1 | 5 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is DeepSeek V4 Flash 0423 better than Grok 4.7 for coding?
Only Grok 4.7 has a coding score, 66.7 on the Vibe Coding Index; DeepSeek V4 Flash 0423 has none, so the two cannot be ranked on coding. Pick DeepSeek V4 Flash 0423 for output tokens 21.4x cheaper ($0.28 vs $6.00 per million) and a larger context window (1.05M against 500K tokens).
Which is cheaper, DeepSeek V4 Flash 0423 or Grok 4.7?
DeepSeek V4 Flash 0423 costs $0.13 per million input tokens and $0.28 per million output tokens; Grok 4.7 costs $2.00 and $6.00. Cost per solved task is known for neither of them.
Which has the bigger context window, DeepSeek V4 Flash 0423 or Grok 4.7?
DeepSeek V4 Flash 0423, with 1.05M tokens against 500K.
How many benchmarks is the DeepSeek V4 Flash 0423 vs Grok 4.7 comparison based on?
41 benchmarks have a result for both models as of October 21, 2026. DeepSeek V4 Flash 0423's coding index rests on 1 independent benchmark and Grok 4.7's on 5. Where only one model has a result, the page says so instead of naming a winner.