DeepSeek V4 Pro 0813 vs Gemini 3.1 Pro Preview
DeepSeek V4 Pro 0813 leads Gemini 3.1 Pro Preview on coding, 56.1 to 32.3 on the Vibe Coding Index, and DeepSeek V4 Pro 0813 costs 6.1x less per output token ($1.98 vs $12.00 per million). Updated October 22, 2026; 72 benchmarks have a result for both.
DeepSeek V4 Pro 0813 or Gemini 3.1 Pro Preview: which to pick
Pick DeepSeek V4 Pro 0813 for coding: it scores 56.1 on the Vibe Coding Index against 32.3 for Gemini 3.1 Pro Preview.
Pick Gemini 3.1 Pro Preview for work measured by LiveCodeBench (Vals AI) or IOI (Vals AI), where it leads.
- Shared results
- 72
- DeepSeek V4 Pro 0813 only
- 6
- Gemini 3.1 Pro Preview only
- 61
- 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
DeepSeek V4 Pro 0813
DeepSeek V4 Pro 0813 scores 56.1 against 32.3.
5 and 4 benchmarks behind the scores
Intelligence
AA Intelligence Index
DeepSeek V4 Pro 0813
DeepSeek V4 Pro 0813 leads, 36.0 against 29.7.
Same board, both measured
Agentic work
AA Agentic Index
DeepSeek V4 Pro 0813
DeepSeek V4 Pro 0813 leads, 41.3 against 8.2.
Same board, both measured
Reasoning
GPQA Diamond
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview leads, 95.5% against 92.4%.
Same board, both measured
Math
AIME
No call
Only Gemini 3.1 Pro Preview has a AIME result, 98.1%.
Directional only
Knowledge
MMLU Pro
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview leads, 91.0% against 87.0%.
Same board, both measured
Web design
Design Arena: websites
No call
Only Gemini 3.1 Pro Preview has a Design Arena: websites result, 1233.
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
No call
Both take 1.05M tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
DeepSeek V4 Pro 0813
DeepSeek V4 Pro 0813 $0.0016, Gemini 3.1 Pro Preview $0.0080 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
DeepSeek V4 Pro 0813
DeepSeek V4 Pro 0813 $0.10, Gemini 3.1 Pro Preview $0.99.
Published attempt cost and pass rate
At a glance
- Coding index
- DeepSeek V4 Pro 0813 56.1 from 5 benchmarks, Gemini 3.1 Pro Preview 32.3 from 4 benchmarks.
- Widest category
- Coding, 12.3 points apart on average over 18 shared benchmarks.
- Widest single gap
- Vibe Code Bench (Vals AI): DeepSeek V4 Pro 0813 82.3% against Gemini 3.1 Pro Preview 32.0%, 50.3 points apart on a 0 to 100 scale.
- Output price
- DeepSeek V4 Pro 0813 $1.98 against Gemini 3.1 Pro Preview $12.00 per million output tokens, 6.1x apart.
- Context window
- Both take 1.05M tokens.
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 | Gemini 3.1 Pro Preview | Ties |
|---|---|---|---|---|
| Coding | 9 | 7 | 2 ties | |
| Intelligence | 1 | 0 | ||
| Agentic work | 8 | 0 | ||
| Reasoning | 1 | 10 | ||
| Math | 3 | 2 | 1 tie | |
| Knowledge | 2 | 8 | ||
| General | 1 | 17 | ||
| All shared boards | 25 | 44 | 3 ties |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index97
| Benchmark | DeepSeek V4 Pro 0813 | Gemini 3.1 Pro Preview | Leader |
|---|---|---|---|
| LMArena WebDev | 1582 | 1447 | DeepSeek V4 Pro 0813 |
| AA Coding Index | 68.8 | 68.8 | Tie |
| LiveCodeBench (Vals AI) | 87.5% | 88.5% | Gemini 3.1 Pro Preview |
| SWE-bench Verified (Vals AI) | 96.4% | 78.8% | DeepSeek V4 Pro 0813 |
| Terminal-Bench 4 (Vals AI) | 14.1% | 2.5% | DeepSeek V4 Pro 0813 |
| Vibe Code Bench (Vals AI) | 82.3% | 32.0% | DeepSeek V4 Pro 0813 |
| Code migration (Vals AI) | 41.5% | 17.3% | DeepSeek V4 Pro 0813 |
| ProgramBench (Vals AI) | 0.0% | 0.0% | Tie |
| IOI (Vals AI) | 51.6% | 51.8% | Gemini 3.1 Pro Preview |
| Terminal-Bench 2.1 (Vals AI) | 54.7% | 70.8% | Gemini 3.1 Pro Preview |
| Vibe Code Bench 1-100 (Vals AI) | 17.5% | 6.7% | DeepSeek V4 Pro 0813 |
| SkillsBench (Vals AI) | 53.8% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| CyberBench (Vals AI) | 72.9% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| SciCode | 51.0% | 58.7% | Gemini 3.1 Pro Preview |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 53.8% | Only Gemini 3.1 Pro Preview measured |
| Terminal-Bench | Not measured | 80.2% | Only Gemini 3.1 Pro Preview measured |
| FrontierCode | 28.5% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| GSO-Bench | Not measured | 22.6% | Only Gemini 3.1 Pro Preview measured |
| WeirdML | 66.2% | 72.1% | Gemini 3.1 Pro Preview |
| MirrorCode | Not measured | 8.9% | Only Gemini 3.1 Pro Preview measured |
| ALE-Bench | 1403.2 | 1160.6 | DeepSeek V4 Pro 0813 |
| LMArena Text: coding | 1469 | 1484 | Gemini 3.1 Pro Preview |
| LMArena Text: software and IT | 1462 | 1487 | Gemini 3.1 Pro Preview |
| LMArena WebDev: React | 1588 | 1438 | DeepSeek V4 Pro 0813 |
| LMArena WebDev: HTML | 1566 | 1490 | DeepSeek V4 Pro 0813 |
| LMArena WebDev: from an image | Not measured | 1481 | Only Gemini 3.1 Pro Preview measured |
| SciCode | Not measured | 14.3% | Only Gemini 3.1 Pro Preview measured |
| Neither model has a result on the other 12 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | DeepSeek V4 Pro 0813 | Gemini 3.1 Pro Preview | Leader |
|---|---|---|---|
| AA Intelligence Index | 36.0 | 29.7 | DeepSeek V4 Pro 0813 |
| Epoch Capabilities Index | 155.6 | Not measured | Only DeepSeek V4 Pro 0813 measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index80
| Benchmark | DeepSeek V4 Pro 0813 | Gemini 3.1 Pro Preview | Leader |
|---|---|---|---|
| AA Agentic Index | 41.3 | 8.2 | DeepSeek V4 Pro 0813 |
| Design Arena: agents building web apps | Not measured | 1125 | Only Gemini 3.1 Pro Preview measured |
| Design Arena: agents building full-stack apps | Not measured | 1068 | Only Gemini 3.1 Pro Preview measured |
| Design Arena: agents building mobile apps | Not measured | 1094 | Only Gemini 3.1 Pro Preview measured |
| Design Arena: agents building Android apps | Not measured | 1049 | Only Gemini 3.1 Pro Preview measured |
| Design Arena: agents building Godot games | Not measured | 1236 | Only Gemini 3.1 Pro Preview measured |
| Design Arena: agents building games | Not measured | 1113 | Only Gemini 3.1 Pro Preview measured |
| Design Arena: HTML slides | Not measured | 1103 | Only Gemini 3.1 Pro Preview measured |
| Design Arena: PowerPoint slides | Not measured | 1041 | Only Gemini 3.1 Pro Preview measured |
| SREBench (Vals AI) | 1.9% | 0.0% | DeepSeek V4 Pro 0813 |
| Finance Agent (Vals AI) | 50.4% | 43.0% | DeepSeek V4 Pro 0813 |
| Tax Agent Bench (Vals AI) | 26.8% | 9.3% | DeepSeek V4 Pro 0813 |
| Legal Research Bench (Vals AI) | 40.9% | 20.7% | 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% | 52.6% | DeepSeek V4 Pro 0813 |
| BioMysteryBench (Vals AI) | Not measured | 60.0% | Only Gemini 3.1 Pro Preview measured |
| Terminal-Bench-Science (Vals AI) | 4.3% | 1.4% | DeepSeek V4 Pro 0813 |
| Vals Science Index | Not measured | 27.4% | Only Gemini 3.1 Pro Preview measured |
| τ²-Bench Telecom | Not measured | 95.6% | Only Gemini 3.1 Pro Preview measured |
| APEX-Agents | 47.3% | 35.1% | DeepSeek V4 Pro 0813 |
| METR time horizons | Not measured | 77.0% | Only Gemini 3.1 Pro Preview measured |
| BALROG | Not measured | 57.0% | Only Gemini 3.1 Pro Preview measured |
| DeepResearch Bench | Not measured | 47.8% | Only Gemini 3.1 Pro Preview measured |
| PostTrainBench | Not measured | 22.0% | Only Gemini 3.1 Pro Preview measured |
| Vending-Bench 2 | Not measured | $911 | Only Gemini 3.1 Pro Preview measured |
| Neither model has a result on the other 16 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index110
| Benchmark | DeepSeek V4 Pro 0813 | Gemini 3.1 Pro Preview | Leader |
|---|---|---|---|
| GPQA Diamond | 92.4% | 95.5% | Gemini 3.1 Pro Preview |
| MysteryMechanism (Vals AI) | Not measured | 20.7% | Only Gemini 3.1 Pro Preview measured |
| MMMU Pro (Vals AI) | Not measured | 88.2% | Only Gemini 3.1 Pro Preview measured |
| GPQA Diamond (Artificial Analysis run) | 92.8% | 94.1% | Gemini 3.1 Pro Preview |
| Humanity's Last Exam (Artificial Analysis run) | 41.0% | 47.0% | Gemini 3.1 Pro Preview |
| GPQA Diamond (Epoch AI run) | 91.7% | 94.4% | Gemini 3.1 Pro Preview |
| ARC-AGI | 90.5% | 98.0% | Gemini 3.1 Pro Preview |
| ARC-AGI-2 | 61.3% | 77.1% | Gemini 3.1 Pro Preview |
| SimpleBench | Not measured | 79.6% | Only Gemini 3.1 Pro Preview measured |
| Chess puzzles | 46.0% | 51.0% | Gemini 3.1 Pro Preview |
| Mystery game puzzles | 43.0% | 34.0% | DeepSeek V4 Pro 0813 |
| EBR-bench | Not measured | 14.3% | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: hard prompts | 1458 | 1485 | Gemini 3.1 Pro Preview |
| LMArena Text: expert | 1459 | 1483 | Gemini 3.1 Pro Preview |
| LMArena Text: hard prompts in English | 1463 | 1480 | Gemini 3.1 Pro Preview |
| LMArena Vision: diagrams | Not measured | 1311 | Only Gemini 3.1 Pro Preview measured |
| LMArena Vision: homework | Not measured | 1316 | Only Gemini 3.1 Pro Preview measured |
| Neither model has a result on the other 5 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index32
| Benchmark | DeepSeek V4 Pro 0813 | Gemini 3.1 Pro Preview | Leader |
|---|---|---|---|
| AIME | Not measured | 98.1% | Only Gemini 3.1 Pro Preview measured |
| OTIS Mock AIME | 98.6% | 95.6% | DeepSeek V4 Pro 0813 |
| FrontierMath, tiers 1 to 3 | 64.6% | 59.6% | DeepSeek V4 Pro 0813 |
| FrontierMath, tier 4 | 26.8% | 26.8% | Tie |
| ProofBench | 50.0% | 26.0% | DeepSeek V4 Pro 0813 |
| LMArena Text: math | 1441 | 1486 | Gemini 3.1 Pro Preview |
| LMArena Text: mathematical work | 1443 | 1478 | Gemini 3.1 Pro Preview |
| Neither model has a result on the other 6 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index28
| Benchmark | DeepSeek V4 Pro 0813 | Gemini 3.1 Pro Preview | Leader |
|---|---|---|---|
| MMLU Pro | 87.0% | 91.0% | Gemini 3.1 Pro Preview |
| LegalBench (Vals AI) | 82.4% | 87.4% | Gemini 3.1 Pro Preview |
| CaseLaw (Vals AI) | Not measured | 64.8% | Only Gemini 3.1 Pro Preview measured |
| CorpFin (Vals AI) | 65.4% | 64.5% | DeepSeek V4 Pro 0813 |
| TaxEval (Vals AI) | 73.1% | 72.9% | DeepSeek V4 Pro 0813 |
| MortgageTax (Vals AI) | Not measured | 69.4% | Only Gemini 3.1 Pro Preview measured |
| MedQA (Vals AI) | Not measured | 96.4% | Only Gemini 3.1 Pro Preview measured |
| MedCode (Vals AI) | 42.5% | 59.1% | Gemini 3.1 Pro Preview |
| SimpleQA Verified | 52.9% | 73.5% | Gemini 3.1 Pro Preview |
| LMArena Text: science | 1457 | 1497 | Gemini 3.1 Pro Preview |
| LMArena Text: medicine and healthcare | 1446 | 1486 | Gemini 3.1 Pro Preview |
| LMArena Text: legal and government | 1459 | 1487 | Gemini 3.1 Pro Preview |
| LMArena Text: business and finance | 1442 | 1459 | Gemini 3.1 Pro Preview |
| FACTS Benchmark Suite | Not measured | 67.4% | Only Gemini 3.1 Pro Preview measured |
| Neither model has a result on the other 4 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | DeepSeek V4 Pro 0813 | Gemini 3.1 Pro Preview | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1233 | Only Gemini 3.1 Pro Preview measured |
| Design Arena: UI components | Not measured | 1224 | Only Gemini 3.1 Pro Preview measured |
| Design Arena: game dev | Not measured | 1202 | Only Gemini 3.1 Pro Preview measured |
| Design Arena: data viz | Not measured | 1209 | Only Gemini 3.1 Pro Preview measured |
| Design Arena: 3D | Not measured | 1234 | Only Gemini 3.1 Pro Preview measured |
| Design Arena: all code categories | Not measured | 1231 | Only Gemini 3.1 Pro Preview measured |
| Design Arena: SVG | Not measured | 1285 | Only Gemini 3.1 Pro Preview measured |
| Design Arena: ASCII art | Not measured | 1270 | Only Gemini 3.1 Pro Preview measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index117
| Benchmark | DeepSeek V4 Pro 0813 | Gemini 3.1 Pro Preview | Leader |
|---|---|---|---|
| Vals Index | 53.0% | Not measured | Only DeepSeek V4 Pro 0813 measured |
| Public Benefits Bench (Vals AI) | Not measured | 53.8% | Only Gemini 3.1 Pro Preview measured |
| SAGE (Vals AI) | Not measured | 48.7% | Only Gemini 3.1 Pro Preview measured |
| MedScribe (Vals AI) | 80.2% | 76.1% | DeepSeek V4 Pro 0813 |
| Vals Multimodal Index | Not measured | 56.1% | Only Gemini 3.1 Pro Preview measured |
| IFBench | Not measured | 77.1% | Only Gemini 3.1 Pro Preview measured |
| Long context reasoning (AA-LCR) | 80.3% | 82.0% | Gemini 3.1 Pro Preview |
| DTBench | 93.9% | 97.1% | Gemini 3.1 Pro Preview |
| LMCA | 45.5% | 53.8% | Gemini 3.1 Pro Preview |
| CL-bench | Not measured | 20.8% | Only Gemini 3.1 Pro Preview measured |
| Furniture assembly | Not measured | 26.7% | Only Gemini 3.1 Pro Preview measured |
| ExploitBench | Not measured | 26.1% | Only Gemini 3.1 Pro Preview measured |
| CL-bench Life | Not measured | 16.9% | Only Gemini 3.1 Pro Preview measured |
| LMArena Text | 1446 | 1480 | Gemini 3.1 Pro Preview |
| LMArena Text: instruction following | 1448 | 1466 | Gemini 3.1 Pro Preview |
| LMArena Text: creative writing | 1439 | 1482 | Gemini 3.1 Pro Preview |
| LMArena Vision | Not measured | 1296 | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: English | 1457 | 1478 | Gemini 3.1 Pro Preview |
| LMArena Text: non-English | 1431 | 1476 | Gemini 3.1 Pro Preview |
| LMArena Text: Chinese | 1481 | 1527 | Gemini 3.1 Pro Preview |
| LMArena Text: German | Not measured | 1490 | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: Japanese | Not measured | 1491 | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: Korean | 1449 | 1455 | Gemini 3.1 Pro Preview |
| LMArena Text: French | 1446 | 1487 | Gemini 3.1 Pro Preview |
| LMArena Text: Spanish | 1435 | 1481 | Gemini 3.1 Pro Preview |
| LMArena Text: Russian | 1448 | 1497 | Gemini 3.1 Pro Preview |
| LMArena Text: Polish | Not measured | 1498 | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: multi-turn | 1454 | 1487 | Gemini 3.1 Pro Preview |
| LMArena Text: longer queries | 1458 | 1482 | Gemini 3.1 Pro Preview |
| LMArena Text: writing and language | 1443 | 1481 | Gemini 3.1 Pro Preview |
| LMArena Text: entertainment and media | 1424 | 1465 | Gemini 3.1 Pro Preview |
| LMArena Vision: English | Not measured | 1287 | Only Gemini 3.1 Pro Preview measured |
| LMArena Vision: Chinese | Not measured | 1364 | Only Gemini 3.1 Pro Preview measured |
| LMArena Vision: reading text | Not measured | 1304 | Only Gemini 3.1 Pro Preview measured |
| LMArena Vision: humor | Not measured | 1322 | Only Gemini 3.1 Pro Preview measured |
| LMArena Vision: captioning | Not measured | 1345 | Only Gemini 3.1 Pro Preview measured |
| LMArena Vision: recognizing things | Not measured | 1330 | Only Gemini 3.1 Pro Preview measured |
| LMArena Vision: creative writing | Not measured | 1324 | Only Gemini 3.1 Pro Preview measured |
| LMArena Document | Not measured | 1444 | Only Gemini 3.1 Pro Preview measured |
| Neither model has a result on the other 7 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | DeepSeek V4 Pro 0813 | Gemini 3.1 Pro Preview | 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 | Google Gemini 3.1 Pro Preview |
|---|---|---|
| Maker | DeepSeek | |
| Weights | Open weights | No public weights listed |
| Released | August 12, 2026 | February 19, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $0.66 | $2.00 |
| Output $/Mtok | $1.98 | $12.00 |
| Coding index | 56.1 | 32.3 |
| Independent measurements behind it | 5 | 4 |
| Cost per solved task | $0.10 | $0.99 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is DeepSeek V4 Pro 0813 better than Gemini 3.1 Pro Preview for coding?
Pick DeepSeek V4 Pro 0813 for coding: it scores 56.1 on the Vibe Coding Index against 32.3 for Gemini 3.1 Pro Preview. Pick Gemini 3.1 Pro Preview for work measured by LiveCodeBench (Vals AI) or IOI (Vals AI), where it leads.
Which is cheaper, DeepSeek V4 Pro 0813 or Gemini 3.1 Pro Preview?
DeepSeek V4 Pro 0813 costs $0.66 per million input tokens and $1.98 per million output tokens; Gemini 3.1 Pro Preview costs $2.00 and $12.00. Per solved SWE-bench Verified task, DeepSeek V4 Pro 0813 costs $0.10 and Gemini 3.1 Pro Preview $0.99.
Which has the bigger context window, DeepSeek V4 Pro 0813 or Gemini 3.1 Pro Preview?
Neither: both take 1.05M tokens.
How many benchmarks is the DeepSeek V4 Pro 0813 vs Gemini 3.1 Pro Preview comparison based on?
72 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 Gemini 3.1 Pro Preview's on 4. Where only one model has a result, the page says so instead of naming a winner.