DeepSeek V4 Pro 0813 vs Grok 4.5
Grok 4.5 leads DeepSeek V4 Pro 0813 on coding, 58.6 to 56.1 on the Vibe Coding Index, and DeepSeek V4 Pro 0813 costs 3.0x less per output token ($1.98 vs $6.00 per million). Updated October 22, 2026; 73 benchmarks have a result for both.
DeepSeek V4 Pro 0813 or Grok 4.5: which to pick
Pick Grok 4.5 for coding: it scores 58.6 on the Vibe Coding Index against 56.1 for DeepSeek V4 Pro 0813.
Pick DeepSeek V4 Pro 0813 for output tokens 3.0x cheaper ($1.98 vs $6.00 per million) and a lower cost per solved task ($0.10 against $0.62).
- Shared results
- 73
- DeepSeek V4 Pro 0813 only
- 5
- Grok 4.5 only
- 50
- 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
Grok 4.5
Grok 4.5 scores 58.6 against 56.1.
5 and 6 benchmarks behind the scores
Intelligence
AA Intelligence Index
Grok 4.5
Grok 4.5 leads, 38.8 against 36.0.
Same board, both measured
Agentic work
AA Agentic Index
DeepSeek V4 Pro 0813
DeepSeek V4 Pro 0813 leads, 41.3 against 41.2.
Same board, both measured
Reasoning
GPQA Diamond
Grok 4.5
Grok 4.5 leads, 92.9% against 92.4%.
Same board, both measured
Knowledge
MMLU Pro
Grok 4.5
Grok 4.5 leads, 89.2% against 87.0%.
Same board, both measured
Web design
Design Arena: websites
No call
Only Grok 4.5 has a Design Arena: websites result, 1281.
Directional only
General
Vals Index
No call
Only DeepSeek V4 Pro 0813 has a Vals Index result, 53.0%.
Directional only
Long documents
Listed context window
DeepSeek V4 Pro 0813
DeepSeek V4 Pro 0813 takes 1.05M tokens against 500K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
DeepSeek V4 Pro 0813
DeepSeek V4 Pro 0813 $0.0016, Grok 4.5 $0.0050 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
DeepSeek V4 Pro 0813
DeepSeek V4 Pro 0813 $0.10, Grok 4.5 $0.62.
Published attempt cost and pass rate
At a glance
- Coding index
- DeepSeek V4 Pro 0813 56.1 from 5 benchmarks, Grok 4.5 58.6 from 6 benchmarks.
- Widest category
- Coding, 6.9 points apart on average over 20 shared benchmarks.
- Widest single gap
- FrontierCode: DeepSeek V4 Pro 0813 28.5% against Grok 4.5 42.4%, 21.4 points apart on a 0 to 100 scale.
- Output price
- DeepSeek V4 Pro 0813 $1.98 against Grok 4.5 $6.00 per million output tokens, 3.0x apart.
- Context window
- DeepSeek V4 Pro 0813 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 Pro 0813 | Bars | Grok 4.5 | Ties |
|---|---|---|---|---|
| Coding | 11 | 8 | 1 tie | |
| Intelligence | 1 | 1 | ||
| Agentic work | 5 | 2 | ||
| Reasoning | 3 | 7 | ||
| Math | 4 | 2 | ||
| Knowledge | 4 | 6 | ||
| General | 5 | 13 | ||
| All shared boards | 33 | 39 | 1 tie |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index118
| Benchmark | DeepSeek V4 Pro 0813 | Grok 4.5 | Leader |
|---|---|---|---|
| LiveBench coding | Not measured | 94.3% | Only Grok 4.5 measured |
| LMArena WebDev | 1582 | 1553 | DeepSeek V4 Pro 0813 |
| AA Coding Index | 68.8 | 72.4 | Grok 4.5 |
| LiveCodeBench (Vals AI) | 87.5% | 87.3% | DeepSeek V4 Pro 0813 |
| SWE-bench Verified (Vals AI) | 96.4% | 86.6% | DeepSeek V4 Pro 0813 |
| Terminal-Bench 4 (Vals AI) | 14.1% | 8.6% | DeepSeek V4 Pro 0813 |
| Vibe Code Bench (Vals AI) | 82.3% | 69.0% | DeepSeek V4 Pro 0813 |
| Code migration (Vals AI) | 41.5% | 36.6% | DeepSeek V4 Pro 0813 |
| ProgramBench (Vals AI) | 0.0% | 0.0% | Tie |
| IOI (Vals AI) | 51.6% | 40.6% | DeepSeek V4 Pro 0813 |
| Terminal-Bench 2.1 (Vals AI) | 54.7% | 67.8% | Grok 4.5 |
| Vibe Code Bench 1-100 (Vals AI) | 17.5% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| SkillsBench (Vals AI) | 53.8% | 66.0% | Grok 4.5 |
| CyberBench (Vals AI) | 72.9% | 71.0% | DeepSeek V4 Pro 0813 |
| SciCode | 51.0% | 55.0% | Grok 4.5 |
| FrontierCode | 28.5% | 42.4% | Grok 4.5 |
| WeirdML | 66.2% | 46.4% | DeepSeek V4 Pro 0813 |
| ALE-Bench | 1403.2 | 1309.3 | DeepSeek V4 Pro 0813 |
| LMArena Text: coding | 1469 | 1474 | Grok 4.5 |
| LMArena Text: software and IT | 1462 | 1471 | Grok 4.5 |
| LMArena WebDev: React | 1588 | 1556 | DeepSeek V4 Pro 0813 |
| LMArena WebDev: HTML | 1566 | 1567 | Grok 4.5 |
| LMArena WebDev: from an image | Not measured | 1562 | Only Grok 4.5 measured |
| SciCode | Not measured | 6.5% | Only Grok 4.5 measured |
| Neither model has a result on the other 15 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | DeepSeek V4 Pro 0813 | Grok 4.5 | Leader |
|---|---|---|---|
| AA Intelligence Index | 36.0 | 38.8 | Grok 4.5 |
| Epoch Capabilities Index | 155.6 | 154.1 | DeepSeek V4 Pro 0813 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index52
| Benchmark | DeepSeek V4 Pro 0813 | Grok 4.5 | Leader |
|---|---|---|---|
| AA Agentic Index | 41.3 | 41.2 | DeepSeek V4 Pro 0813 |
| 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 | Not measured | 85.9% | Only Grok 4.5 measured |
| LiveBench browser | Not measured | 44.0% | Only Grok 4.5 measured |
| LiveBench long agentic | Not measured | 27.9% | Only Grok 4.5 measured |
| SREBench (Vals AI) | 1.9% | 0.8% | DeepSeek V4 Pro 0813 |
| Finance Agent (Vals AI) | 50.4% | 48.4% | DeepSeek V4 Pro 0813 |
| Tax Agent Bench (Vals AI) | 26.8% | 24.9% | DeepSeek V4 Pro 0813 |
| Legal Research Bench (Vals AI) | 40.9% | 38.0% | DeepSeek V4 Pro 0813 |
| Harvey's Legal Agent Benchmark (Vals AI) | 10.8% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| Excel Modeling Benchmark (Vals AI) | 52.8% | 52.9% | Grok 4.5 |
| Terminal-Bench-Science (Vals AI) | 4.3% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| Time Horizon Index (Vals AI) | Not measured | 6.3% | Only Grok 4.5 measured |
| APEX-Agents | 47.3% | 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 17 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index37
| Benchmark | DeepSeek V4 Pro 0813 | Grok 4.5 | Leader |
|---|---|---|---|
| GPQA Diamond | 92.4% | 92.9% | Grok 4.5 |
| LiveBench reasoning | Not measured | 87.2% | Only Grok 4.5 measured |
| MMMU Pro (Vals AI) | Not measured | 61.8% | Only Grok 4.5 measured |
| GPQA Diamond (Artificial Analysis run) | 92.8% | 93.1% | Grok 4.5 |
| Humanity's Last Exam (Artificial Analysis run) | 41.0% | 42.7% | Grok 4.5 |
| GPQA Diamond (Epoch AI run) | 91.7% | 93.4% | Grok 4.5 |
| ARC-AGI | 90.5% | 87.2% | DeepSeek V4 Pro 0813 |
| ARC-AGI-2 | 61.3% | 52.6% | DeepSeek V4 Pro 0813 |
| SimpleBench | Not measured | 70.0% | Only Grok 4.5 measured |
| Chess puzzles | 46.0% | 35.0% | DeepSeek V4 Pro 0813 |
| Mystery game puzzles | 43.0% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| LMArena Text: hard prompts | 1458 | 1462 | Grok 4.5 |
| LMArena Text: expert | 1459 | 1465 | Grok 4.5 |
| LMArena Text: hard prompts in English | 1463 | 1464 | Grok 4.5 |
| LMArena Vision: diagrams | Not measured | 1304 | Only Grok 4.5 measured |
| LMArena Vision: homework | Not measured | 1295 | Only Grok 4.5 measured |
| Kagi LLM Benchmark | Not measured | 83.5% | Only Grok 4.5 measured |
| Neither model has a result on the other 5 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index42
| Benchmark | DeepSeek V4 Pro 0813 | Grok 4.5 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 98.6% | 97.8% | DeepSeek V4 Pro 0813 |
| FrontierMath, tiers 1 to 3 | 64.6% | 57.2% | DeepSeek V4 Pro 0813 |
| FrontierMath, tier 4 | 26.8% | 24.4% | DeepSeek V4 Pro 0813 |
| ProofBench | 50.0% | 31.0% | DeepSeek V4 Pro 0813 |
| LMArena Text: math | 1441 | 1460 | Grok 4.5 |
| LMArena Text: mathematical work | 1443 | 1482 | Grok 4.5 |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index46
| Benchmark | DeepSeek V4 Pro 0813 | Grok 4.5 | Leader |
|---|---|---|---|
| MMLU Pro | 87.0% | 89.2% | Grok 4.5 |
| LegalBench (Vals AI) | 82.4% | 86.0% | Grok 4.5 |
| CorpFin (Vals AI) | 65.4% | 67.4% | Grok 4.5 |
| TaxEval (Vals AI) | 73.1% | 71.7% | DeepSeek V4 Pro 0813 |
| MortgageTax (Vals AI) | Not measured | 61.8% | Only Grok 4.5 measured |
| MedCode (Vals AI) | 42.5% | 43.3% | Grok 4.5 |
| SimpleQA Verified | 52.9% | 48.3% | DeepSeek V4 Pro 0813 |
| LMArena Text: science | 1457 | 1464 | Grok 4.5 |
| LMArena Text: medicine and healthcare | 1446 | 1440 | DeepSeek V4 Pro 0813 |
| LMArena Text: legal and government | 1459 | 1463 | Grok 4.5 |
| LMArena Text: business and finance | 1442 | 1441 | DeepSeek V4 Pro 0813 |
| FACTS Benchmark Suite | Not measured | 50.2% | Only Grok 4.5 measured |
| Neither model has a result on the other 6 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
| Benchmark | DeepSeek V4 Pro 0813 | Grok 4.5 | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1281 | Only Grok 4.5 measured |
| Design Arena: UI components | Not measured | 1280 | Only Grok 4.5 measured |
| Design Arena: game dev | Not measured | 1264 | Only Grok 4.5 measured |
| Design Arena: data viz | Not measured | 1266 | Only Grok 4.5 measured |
| Design Arena: 3D | Not measured | 1257 | Only Grok 4.5 measured |
| Design Arena: all code categories | Not measured | 1275 | Only Grok 4.5 measured |
| Design Arena: SVG | Not measured | 1215 | Only Grok 4.5 measured |
| Design Arena: ASCII art | Not measured | 1256 | Only Grok 4.5 measured |
| LiveBench design | Not measured | 78.1% | Only Grok 4.5 measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index513
| Benchmark | DeepSeek V4 Pro 0813 | Grok 4.5 | Leader |
|---|---|---|---|
| Vals Index | 53.0% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| LiveBench data analysis | Not measured | 73.0% | Only Grok 4.5 measured |
| SAGE (Vals AI) | Not measured | 35.0% | Only Grok 4.5 measured |
| MedScribe (Vals AI) | 80.2% | 86.9% | Grok 4.5 |
| Vals Multimodal Index | Not measured | 63.4% | Only Grok 4.5 measured |
| Long context reasoning (AA-LCR) | 80.3% | 79.3% | DeepSeek V4 Pro 0813 |
| DTBench | 93.9% | 96.5% | Grok 4.5 |
| LMCA | 45.5% | 45.2% | DeepSeek V4 Pro 0813 |
| Surface Evolver Bench | Not measured | 74.4% | Only Grok 4.5 measured |
| Furniture assembly | Not measured | 22.5% | Only Grok 4.5 measured |
| LMArena Text | 1446 | 1448 | Grok 4.5 |
| LMArena Text: instruction following | 1448 | 1445 | DeepSeek V4 Pro 0813 |
| LMArena Text: creative writing | 1439 | 1442 | Grok 4.5 |
| LMArena Vision | Not measured | 1287 | Only Grok 4.5 measured |
| LMArena Text: English | 1457 | 1453 | DeepSeek V4 Pro 0813 |
| LMArena Text: non-English | 1431 | 1440 | Grok 4.5 |
| LMArena Text: Chinese | 1481 | 1495 | Grok 4.5 |
| LMArena Text: German | Not measured | 1448 | Only Grok 4.5 measured |
| LMArena Text: Japanese | Not measured | 1430 | Only Grok 4.5 measured |
| LMArena Text: Korean | 1449 | 1406 | DeepSeek V4 Pro 0813 |
| LMArena Text: French | 1446 | 1457 | Grok 4.5 |
| LMArena Text: Spanish | 1435 | 1451 | Grok 4.5 |
| LMArena Text: Russian | 1448 | 1449 | Grok 4.5 |
| LMArena Text: Polish | Not measured | 1432 | Only Grok 4.5 measured |
| LMArena Text: multi-turn | 1454 | 1456 | Grok 4.5 |
| LMArena Text: longer queries | 1458 | 1462 | Grok 4.5 |
| LMArena Text: writing and language | 1443 | 1445 | Grok 4.5 |
| LMArena Text: entertainment and media | 1424 | 1434 | Grok 4.5 |
| LMArena Vision: English | Not measured | 1285 | Only Grok 4.5 measured |
| LMArena Vision: Chinese | Not measured | 1345 | Only Grok 4.5 measured |
| LMArena Vision: reading text | Not measured | 1293 | Only Grok 4.5 measured |
| LMArena Vision: humor | Not measured | 1276 | Only Grok 4.5 measured |
| LMArena Vision: creative writing | Not measured | 1293 | Only Grok 4.5 measured |
| 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 Pro 0813 | 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 Pro 0813 costs less
Repository review
50K input + 3K output tokens
DeepSeek V4 Pro 0813 costs less
Agent loop
200K input + 10K output tokens
DeepSeek V4 Pro 0813 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 0813 | SpaceXAI Grok 4.5 |
|---|---|---|
| Maker | DeepSeek | xAI |
| Weights | Open weights | No public weights listed |
| Released | August 12, 2026 | July 8, 2026 |
| Context window | 1.05M | 500K |
| Input $/Mtok | $0.66 | $2.00 |
| Output $/Mtok | $1.98 | $6.00 |
| Coding index | 56.1 | 58.6 |
| Independent measurements behind it | 5 | 6 |
| Cost per solved task | $0.10 | $0.62 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is DeepSeek V4 Pro 0813 better than Grok 4.5 for coding?
Pick Grok 4.5 for coding: it scores 58.6 on the Vibe Coding Index against 56.1 for DeepSeek V4 Pro 0813. Pick DeepSeek V4 Pro 0813 for output tokens 3.0x cheaper ($1.98 vs $6.00 per million) and a lower cost per solved task ($0.10 against $0.62).
Which is cheaper, DeepSeek V4 Pro 0813 or Grok 4.5?
DeepSeek V4 Pro 0813 costs $0.66 per million input tokens and $1.98 per million output tokens; Grok 4.5 costs $2.00 and $6.00. Per solved SWE-bench Verified task, DeepSeek V4 Pro 0813 costs $0.10 and Grok 4.5 $0.62.
Which has the bigger context window, DeepSeek V4 Pro 0813 or Grok 4.5?
DeepSeek V4 Pro 0813, with 1.05M tokens against 500K.
How many benchmarks is the DeepSeek V4 Pro 0813 vs Grok 4.5 comparison based on?
73 benchmarks have a result for both models as of October 22, 2026. DeepSeek V4 Pro 0813'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.