DeepSeek V3.2 Exp vs Grok 4.7
Grok 4.7 leads DeepSeek V3.2 Exp on the Artificial Analysis Intelligence Index, 46.4 to 16.6, and DeepSeek V3.2 Exp costs 14.6x less per output token ($0.41 vs $6.00 per million). Updated October 22, 2026; 42 benchmarks have a result for both.
DeepSeek V3.2 Exp or Grok 4.7: which to pick
Only Grok 4.7 has a coding score, 66.7 on the Vibe Coding Index; DeepSeek V3.2 Exp has none, so the two cannot be ranked on coding.
Pick DeepSeek V3.2 Exp for output tokens 14.6x cheaper ($0.41 vs $6.00 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.
- Shared results
- 42
- DeepSeek V3.2 Exp only
- 17
- Grok 4.7 only
- 57
- 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 16.6.
Same board, both measured
Web design
Design Arena: websites
Grok 4.7
Grok 4.7 leads, 1255 against 1178.
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
Grok 4.7
Grok 4.7 takes 500K tokens against 164K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
DeepSeek V3.2 Exp
DeepSeek V3.2 Exp $0.0005, Grok 4.7 $0.0050 per turn.
List prices
At a glance
- Coding index
- DeepSeek V3.2 Exp not benchmarked, Grok 4.7 66.7 from 5 benchmarks.
- Widest category
- Coding, 27.3 points apart on average over 4 shared benchmarks.
- Widest single gap
- LMArena WebDev: HTML: DeepSeek V3.2 Exp 1281 against Grok 4.7 1627, 53.2 points apart on a 0 to 100 scale.
- Output price
- DeepSeek V3.2 Exp $0.41 against Grok 4.7 $6.00 per million output tokens, 14.6x apart.
- Context window
- DeepSeek V3.2 Exp takes 164K 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 V3.2 Exp | Bars | Grok 4.7 | Ties |
|---|---|---|---|---|
| Coding | 2 | 2 | ||
| Intelligence | 0 | 2 | ||
| Reasoning | 2 | 2 | ||
| Math | 1 | 1 | ||
| Knowledge | 3 | 1 | ||
| Web design | 0 | 6 | ||
| General | 14 | 6 | ||
| All shared boards | 22 | 20 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index22
| Benchmark | DeepSeek V3.2 Exp | Grok 4.7 | Leader |
|---|---|---|---|
| Aider polyglot | 74.2% | Not measured | Only DeepSeek V3.2 Exp measured |
| LiveBench coding | Not measured | 84.5% | Only Grok 4.7 measured |
| LMArena WebDev | 1272 | 1637 | Grok 4.7 |
| 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 |
| LiveCodeBench (Artificial Analysis run) | 78.9% | Not measured | Only DeepSeek V3.2 Exp measured |
| SciCode | Not measured | 57.8% | Only Grok 4.7 measured |
| Terminal-Bench Hard (Artificial Analysis run) | 31.1% | Not measured | Only DeepSeek V3.2 Exp measured |
| FrontierCode | Not measured | 47.6% | Only Grok 4.7 measured |
| FrontierSWE | Not measured | 29.5% | Only Grok 4.7 measured |
| WeirdML | 39.5% | Not measured | Only DeepSeek V3.2 Exp measured |
| LMArena Text: coding | 1438 | 1432 | DeepSeek V3.2 Exp |
| LMArena Text: software and IT | 1438 | 1421 | DeepSeek V3.2 Exp |
| LMArena WebDev: React | Not measured | 1663 | Only Grok 4.7 measured |
| LMArena WebDev: HTML | 1281 | 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 17 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | DeepSeek V3.2 Exp | Grok 4.7 | Leader |
|---|---|---|---|
| AA Intelligence Index | 16.6 | 46.4 | Grok 4.7 |
| Epoch Capabilities Index | 144.9 | 154.4 | Grok 4.7 |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index18 boards, none shared
| Benchmark | DeepSeek V3.2 Exp | Grok 4.7 | Leader |
|---|---|---|---|
| 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 |
| τ²-Bench Telecom | 33.9% | Not measured | Only DeepSeek V3.2 Exp measured |
| APEX-Agents | Not measured | 54.6% | Only Grok 4.7 measured |
| TheAgentCompany | 42.9% | Not measured | Only DeepSeek V3.2 Exp measured |
| Vending-Bench 2 | Not measured | $10,537 | Only Grok 4.7 measured |
| Berkeley Function Calling Leaderboard (BFCL) | 56.7% | Not measured | Only DeepSeek V3.2 Exp measured |
| Neither model has a result on the other 23 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index22
| Benchmark | DeepSeek V3.2 Exp | 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 |
| GPQA Diamond (Artificial Analysis run) | 79.7% | Not measured | Only DeepSeek V3.2 Exp measured |
| Humanity's Last Exam (Artificial Analysis run) | 14.9% | 43.1% | Grok 4.7 |
| 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 |
| 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 | 1429 | 1415 | DeepSeek V3.2 Exp |
| LMArena Text: expert | 1422 | 1439 | Grok 4.7 |
| LMArena Text: hard prompts in English | 1444 | 1427 | DeepSeek V3.2 Exp |
| 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 V3.2 Exp 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 V3.2 Exp | Grok 4.7 | Leader |
|---|---|---|---|
| AA Math Index | 87.7 | Not measured | Only DeepSeek V3.2 Exp measured |
| AIME 2025 (Artificial Analysis run) | 87.7% | Not measured | Only DeepSeek V3.2 Exp measured |
| 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 | 1422 | 1414 | DeepSeek V3.2 Exp |
| LMArena Text: mathematical work | 1433 | 1435 | Grok 4.7 |
| Neither model has a result on the other 5 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index31
| Benchmark | DeepSeek V3.2 Exp | 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 |
| MMLU Pro (Artificial Analysis run) | 85.0% | Not measured | Only DeepSeek V3.2 Exp measured |
| SimpleQA Verified | Not measured | 56.0% | Only Grok 4.7 measured |
| LMArena Text: science | 1443 | 1419 | DeepSeek V3.2 Exp |
| LMArena Text: medicine and healthcare | 1468 | 1395 | DeepSeek V3.2 Exp |
| LMArena Text: legal and government | 1419 | 1423 | Grok 4.7 |
| LMArena Text: business and finance | 1412 | 1389 | DeepSeek V3.2 Exp |
| Neither model has a result on the other 10 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index06
| Benchmark | DeepSeek V3.2 Exp | Grok 4.7 | Leader |
|---|---|---|---|
| Design Arena: websites | 1178 | 1255 | Grok 4.7 |
| Design Arena: UI components | 1164 | 1275 | Grok 4.7 |
| Design Arena: game dev | 1144 | 1314 | Grok 4.7 |
| Design Arena: data viz | 1152 | 1238 | Grok 4.7 |
| Design Arena: 3D | 1148 | 1274 | Grok 4.7 |
| Design Arena: all code categories | 1170 | 1273 | Grok 4.7 |
| Design Arena: SVG | 1031 | Not measured | Only DeepSeek V3.2 Exp measured |
| LiveBench design | Not measured | 78.0% | Only Grok 4.7 measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index146
| Benchmark | DeepSeek V3.2 Exp | 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 |
| IFBench | 54.1% | Not measured | Only DeepSeek V3.2 Exp measured |
| Long context reasoning (AA-LCR) | 72.3% | 80.0% | Grok 4.7 |
| DTBench | 87.7% | 96.0% | Grok 4.7 |
| LMCA | 29.1% | 49.4% | Grok 4.7 |
| Fiction.LiveBench | 83.3% | Not measured | Only DeepSeek V3.2 Exp measured |
| CL-bench | 13.2% | Not measured | Only DeepSeek V3.2 Exp measured |
| Furniture assembly | Not measured | 20.8% | Only Grok 4.7 measured |
| CL-bench Life | 9.5% | Not measured | Only DeepSeek V3.2 Exp measured |
| LMArena Text | 1425 | 1399 | DeepSeek V3.2 Exp |
| LMArena Text: instruction following | 1401 | 1406 | Grok 4.7 |
| LMArena Text: creative writing | 1404 | 1381 | DeepSeek V3.2 Exp |
| LMArena Vision | Not measured | 1231 | Only Grok 4.7 measured |
| LMArena Text: English | 1441 | 1411 | DeepSeek V3.2 Exp |
| LMArena Text: non-English | 1404 | 1386 | DeepSeek V3.2 Exp |
| LMArena Text: Chinese | 1461 | 1449 | DeepSeek V3.2 Exp |
| LMArena Text: German | 1440 | 1366 | DeepSeek V3.2 Exp |
| LMArena Text: Japanese | 1331 | 1359 | Grok 4.7 |
| LMArena Text: Korean | 1372 | 1383 | Grok 4.7 |
| LMArena Text: French | 1434 | 1431 | DeepSeek V3.2 Exp |
| LMArena Text: Spanish | 1441 | 1406 | DeepSeek V3.2 Exp |
| LMArena Text: Russian | 1412 | 1399 | DeepSeek V3.2 Exp |
| LMArena Text: Polish | 1435 | 1420 | DeepSeek V3.2 Exp |
| LMArena Text: multi-turn | 1422 | 1394 | DeepSeek V3.2 Exp |
| LMArena Text: longer queries | 1418 | 1416 | DeepSeek V3.2 Exp |
| LMArena Text: writing and language | 1407 | 1394 | DeepSeek V3.2 Exp |
| LMArena Text: entertainment and media | 1407 | 1376 | DeepSeek V3.2 Exp |
| 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 11 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | DeepSeek V3.2 Exp | 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 V3.2 Exp costs less
Repository review
50K input + 3K output tokens
DeepSeek V3.2 Exp costs less
Agent loop
200K input + 10K output tokens
DeepSeek V3.2 Exp 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 V3.2 Exp | SpaceXAI Grok 4.7 |
|---|---|---|
| Maker | DeepSeek | xAI |
| Weights | Open weights | No public weights listed |
| Released | September 29, 2025 | September 21, 2026 |
| Context window | 164K | 500K |
| Input $/Mtok | $0.27 | $2.00 |
| Output $/Mtok | $0.41 | $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 V3.2 Exp better than Grok 4.7 for coding?
Only Grok 4.7 has a coding score, 66.7 on the Vibe Coding Index; DeepSeek V3.2 Exp has none, so the two cannot be ranked on coding. Pick DeepSeek V3.2 Exp for output tokens 14.6x cheaper ($0.41 vs $6.00 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.
Which is cheaper, DeepSeek V3.2 Exp or Grok 4.7?
DeepSeek V3.2 Exp costs $0.27 per million input tokens and $0.41 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 V3.2 Exp or Grok 4.7?
Grok 4.7, with 500K tokens against 164K.
How many benchmarks is the DeepSeek V3.2 Exp vs Grok 4.7 comparison based on?
42 benchmarks have a result for both models as of October 22, 2026. DeepSeek V3.2 Exp'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.