DeepSeek V4 Flash 0731 vs Nemotron 3 Ultra
DeepSeek V4 Flash 0731 leads Nemotron 3 Ultra on coding, 51.8 to 30.0 on the Vibe Coding Index, and DeepSeek V4 Flash 0731 costs 6.1x less per output token ($0.396 vs $2.40 per million). Updated October 23, 2026; 39 benchmarks have a result for both.
DeepSeek V4 Flash 0731 or Nemotron 3 Ultra: which to pick
Pick DeepSeek V4 Flash 0731 for coding: it scores 51.8 on the Vibe Coding Index against 30.0 for Nemotron 3 Ultra.
Pick Nemotron 3 Ultra for work measured by LegalBench (Vals AI) or CorpFin (Vals AI), where it leads.
- Shared results
- 39
- DeepSeek V4 Flash 0731 only
- 16
- Nemotron 3 Ultra only
- 32
- 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
DeepSeek V4 Flash 0731
DeepSeek V4 Flash 0731 scores 51.8 against 30.0.
4 and 3 benchmarks behind the scores
Intelligence
AA Intelligence Index
DeepSeek V4 Flash 0731
DeepSeek V4 Flash 0731 leads, 34.3 against 22.9.
Same board, both measured
Agentic work
AA Agentic Index
DeepSeek V4 Flash 0731
DeepSeek V4 Flash 0731 leads, 41.0 against 20.1.
Same board, both measured
Reasoning
GPQA Diamond
DeepSeek V4 Flash 0731
DeepSeek V4 Flash 0731 leads, 89.9% against 86.1%.
Same board, both measured
Knowledge
MMLU Pro
DeepSeek V4 Flash 0731
DeepSeek V4 Flash 0731 leads, 86.2% against 85.8%.
Same board, both measured
Web design
Design Arena: websites
DeepSeek V4 Flash 0731
DeepSeek V4 Flash 0731 leads, 1238 against 1145.
Same board, both measured
Long documents
Listed context window
DeepSeek V4 Flash 0731
DeepSeek V4 Flash 0731 takes 1.05M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
DeepSeek V4 Flash 0731
DeepSeek V4 Flash 0731 $0.0003, Nemotron 3 Ultra $0.0018 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only DeepSeek V4 Flash 0731 has the number, $0.01.
Directional only
At a glance
- Coding index
- DeepSeek V4 Flash 0731 51.8 from 4 benchmarks, Nemotron 3 Ultra 30.0 from 3 benchmarks.
- Widest category
- Math, 30.9 points apart on average over 2 shared benchmarks.
- Widest single gap
- Vibe Code Bench (Vals AI): DeepSeek V4 Flash 0731 74.7% against Nemotron 3 Ultra 7.6%, 67.1 points apart on a 0 to 100 scale.
- Output price
- DeepSeek V4 Flash 0731 $0.396 against Nemotron 3 Ultra $2.40 per million output tokens, 6.1x apart.
- Context window
- DeepSeek V4 Flash 0731 takes 1.05M tokens, Nemotron 3 Ultra 262K.
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 0731 | Bars | Nemotron 3 Ultra | Ties |
|---|---|---|---|---|
| Coding | 9 | 0 | 1 tie | |
| Intelligence | 2 | 0 | ||
| Agentic work | 4 | 0 | ||
| Reasoning | 5 | 0 | ||
| Math | 2 | 0 | ||
| Knowledge | 2 | 3 | ||
| Web design | 7 | 1 | ||
| General | 3 | 0 | ||
| All shared boards | 34 | 4 | 1 tie |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index90
| Benchmark | DeepSeek V4 Flash 0731 | Nemotron 3 Ultra | Leader |
|---|---|---|---|
| AA Coding Index | 69.1 | 49.3 | DeepSeek V4 Flash 0731 |
| LiveCodeBench (Vals AI) | 87.3% | 86.0% | DeepSeek V4 Flash 0731 |
| SWE-bench Verified (Vals AI) | 88.8% | 69.0% | DeepSeek V4 Flash 0731 |
| Terminal-Bench 4 (Vals AI) | 18.7% | Not measured | Only DeepSeek V4 Flash 0731 measured |
| Vibe Code Bench (Vals AI) | 74.7% | 7.6% | DeepSeek V4 Flash 0731 |
| Code migration (Vals AI) | 38.6% | 4.9% | DeepSeek V4 Flash 0731 |
| ProgramBench (Vals AI) | 0.0% | 0.0% | Tie |
| IOI (Vals AI) | 32.7% | Not measured | Only DeepSeek V4 Flash 0731 measured |
| Terminal-Bench 2.1 (Vals AI) | 67.0% | 50.9% | DeepSeek V4 Flash 0731 |
| SkillsBench (Vals AI) | 50.7% | Not measured | Only DeepSeek V4 Flash 0731 measured |
| CyberBench (Vals AI) | 72.1% | Not measured | Only DeepSeek V4 Flash 0731 measured |
| SciCode | 50.3% | 40.3% | DeepSeek V4 Flash 0731 |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 36.4% | Only Nemotron 3 Ultra measured |
| FrontierCode | 18.8% | 13.6% | DeepSeek V4 Flash 0731 |
| WeirdML | 63.0% | 43.5% | DeepSeek V4 Flash 0731 |
| ALE-Bench | 1306.1 | Not measured | Only DeepSeek V4 Flash 0731 measured |
| LMArena Text: coding | Not measured | 1467 | Only Nemotron 3 Ultra measured |
| LMArena Text: software and IT | Not measured | 1468 | Only Nemotron 3 Ultra measured |
| Neither model has a result on the other 25 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | DeepSeek V4 Flash 0731 | Nemotron 3 Ultra | Leader |
|---|---|---|---|
| AA Intelligence Index | 34.3 | 22.9 | DeepSeek V4 Flash 0731 |
| Epoch Capabilities Index | 154.8 | 146.0 | DeepSeek V4 Flash 0731 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | DeepSeek V4 Flash 0731 | Nemotron 3 Ultra | Leader |
|---|---|---|---|
| AA Agentic Index | 41.0 | 20.1 | DeepSeek V4 Flash 0731 |
| Finance Agent (Vals AI) | 49.5% | 37.7% | DeepSeek V4 Flash 0731 |
| Tax Agent Bench (Vals AI) | 28.1% | Not measured | Only DeepSeek V4 Flash 0731 measured |
| Legal Research Bench (Vals AI) | 30.3% | 15.4% | DeepSeek V4 Flash 0731 |
| Excel Modeling Benchmark (Vals AI) | 57.0% | 31.7% | DeepSeek V4 Flash 0731 |
| BioMysteryBench (Vals AI) | 64.4% | Not measured | Only DeepSeek V4 Flash 0731 measured |
| Terminal-Bench-Science (Vals AI) | 4.3% | Not measured | Only DeepSeek V4 Flash 0731 measured |
| τ²-Bench Telecom | Not measured | 83.3% | Only Nemotron 3 Ultra measured |
| APEX-Agents | Not measured | 22.7% | Only Nemotron 3 Ultra measured |
| MCP Atlas | Not measured | 63.1% | Only Nemotron 3 Ultra measured |
| Neither model has a result on the other 32 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | DeepSeek V4 Flash 0731 | Nemotron 3 Ultra | Leader |
|---|---|---|---|
| GPQA Diamond | 89.9% | 86.1% | DeepSeek V4 Flash 0731 |
| GPQA Diamond (Artificial Analysis run) | 90.8% | 86.7% | DeepSeek V4 Flash 0731 |
| Humanity's Last Exam (Artificial Analysis run) | 38.6% | 28.4% | DeepSeek V4 Flash 0731 |
| GPQA Diamond (Epoch AI run) | 91.0% | 85.4% | DeepSeek V4 Flash 0731 |
| ARC-AGI | 89.0% | Not measured | Only DeepSeek V4 Flash 0731 measured |
| ARC-AGI-2 | 61.4% | Not measured | Only DeepSeek V4 Flash 0731 measured |
| SimpleBench | 61.1% | Not measured | Only DeepSeek V4 Flash 0731 measured |
| Chess puzzles | 32.0% | Not measured | Only DeepSeek V4 Flash 0731 measured |
| Mystery game puzzles | 34.0% | 20.0% | DeepSeek V4 Flash 0731 |
| LMArena Text: hard prompts | Not measured | 1452 | Only Nemotron 3 Ultra measured |
| LMArena Text: expert | Not measured | 1472 | Only Nemotron 3 Ultra measured |
| LMArena Text: hard prompts in English | Not measured | 1453 | Only Nemotron 3 Ultra measured |
| Neither model has a result on the other 11 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | DeepSeek V4 Flash 0731 | Nemotron 3 Ultra | Leader |
|---|---|---|---|
| OTIS Mock AIME | 94.4% | 86.7% | DeepSeek V4 Flash 0731 |
| FrontierMath, tiers 1 to 3 | 57.5% | Not measured | Only DeepSeek V4 Flash 0731 measured |
| FrontierMath, tier 4 | 24.4% | Not measured | Only DeepSeek V4 Flash 0731 measured |
| ProofBench | 56.0% | 2.0% | DeepSeek V4 Flash 0731 |
| LMArena Text: math | Not measured | 1457 | Only Nemotron 3 Ultra measured |
| LMArena Text: mathematical work | Not measured | 1462 | Only Nemotron 3 Ultra measured |
| Neither model has a result on the other 8 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index23
| Benchmark | DeepSeek V4 Flash 0731 | Nemotron 3 Ultra | Leader |
|---|---|---|---|
| MMLU Pro | 86.2% | 85.8% | DeepSeek V4 Flash 0731 |
| LegalBench (Vals AI) | 77.7% | 82.1% | Nemotron 3 Ultra |
| CorpFin (Vals AI) | 61.9% | 65.5% | Nemotron 3 Ultra |
| TaxEval (Vals AI) | 70.7% | 73.1% | Nemotron 3 Ultra |
| MedCode (Vals AI) | 41.4% | 38.6% | DeepSeek V4 Flash 0731 |
| SimpleQA Verified | 33.6% | Not measured | Only DeepSeek V4 Flash 0731 measured |
| LMArena Text: science | Not measured | 1465 | Only Nemotron 3 Ultra measured |
| LMArena Text: medicine and healthcare | Not measured | 1455 | Only Nemotron 3 Ultra measured |
| LMArena Text: legal and government | Not measured | 1453 | Only Nemotron 3 Ultra measured |
| LMArena Text: business and finance | Not measured | 1435 | Only Nemotron 3 Ultra measured |
| Neither model has a result on the other 10 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index71
| Benchmark | DeepSeek V4 Flash 0731 | Nemotron 3 Ultra | Leader |
|---|---|---|---|
| Design Arena: websites | 1238 | 1145 | DeepSeek V4 Flash 0731 |
| Design Arena: UI components | 1233 | 1135 | DeepSeek V4 Flash 0731 |
| Design Arena: game dev | 1207 | 1138 | DeepSeek V4 Flash 0731 |
| Design Arena: data viz | 1181 | 1142 | DeepSeek V4 Flash 0731 |
| Design Arena: 3D | 1209 | 1132 | DeepSeek V4 Flash 0731 |
| Design Arena: all code categories | 1229 | 1146 | DeepSeek V4 Flash 0731 |
| Design Arena: SVG | 1184 | 1069 | DeepSeek V4 Flash 0731 |
| Design Arena: ASCII art | 1090 | 1100 | Nemotron 3 Ultra |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | DeepSeek V4 Flash 0731 | Nemotron 3 Ultra | Leader |
|---|---|---|---|
| MedScribe (Vals AI) | 80.4% | Not measured | Only DeepSeek V4 Flash 0731 measured |
| IFBench | Not measured | 81.4% | Only Nemotron 3 Ultra measured |
| Long context reasoning (AA-LCR) | 79.7% | 79.3% | DeepSeek V4 Flash 0731 |
| DTBench | 90.9% | 90.1% | DeepSeek V4 Flash 0731 |
| LMCA | 41.7% | 36.9% | DeepSeek V4 Flash 0731 |
| LMArena Text | Not measured | 1445 | Only Nemotron 3 Ultra measured |
| LMArena Text: instruction following | Not measured | 1418 | Only Nemotron 3 Ultra measured |
| LMArena Text: creative writing | Not measured | 1398 | Only Nemotron 3 Ultra measured |
| LMArena Text: English | Not measured | 1454 | Only Nemotron 3 Ultra measured |
| LMArena Text: non-English | Not measured | 1427 | Only Nemotron 3 Ultra measured |
| LMArena Text: Chinese | Not measured | 1498 | Only Nemotron 3 Ultra measured |
| LMArena Text: German | Not measured | 1474 | Only Nemotron 3 Ultra measured |
| LMArena Text: Korean | Not measured | 1385 | Only Nemotron 3 Ultra measured |
| LMArena Text: French | Not measured | 1473 | Only Nemotron 3 Ultra measured |
| LMArena Text: Spanish | Not measured | 1454 | Only Nemotron 3 Ultra measured |
| LMArena Text: Russian | Not measured | 1417 | Only Nemotron 3 Ultra measured |
| LMArena Text: Polish | Not measured | 1385 | Only Nemotron 3 Ultra measured |
| LMArena Text: multi-turn | Not measured | 1411 | Only Nemotron 3 Ultra measured |
| LMArena Text: longer queries | Not measured | 1437 | Only Nemotron 3 Ultra measured |
| LMArena Text: writing and language | Not measured | 1405 | Only Nemotron 3 Ultra measured |
| LMArena Text: entertainment and media | Not measured | 1397 | Only Nemotron 3 Ultra measured |
| Neither model has a result on the other 27 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | DeepSeek V4 Flash 0731 | Nemotron 3 Ultra | 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 0731 costs less
Repository review
50K input + 3K output tokens
DeepSeek V4 Flash 0731 costs less
Agent loop
200K input + 10K output tokens
DeepSeek V4 Flash 0731 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 0731 | NVIDIA Nemotron 3 Ultra |
|---|---|---|
| Maker | DeepSeek | NVIDIA |
| Weights | Open weights | Open weights |
| Released | July 31, 2026 | June 4, 2026 |
| Context window | 1.05M | 262K |
| Input $/Mtok | $0.14 | $0.60 |
| Output $/Mtok | $0.396 | $2.40 |
| Coding index | 51.8 | 30.0 |
| Independent measurements behind it | 4 | 3 |
| Cost per solved task | $0.01 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is DeepSeek V4 Flash 0731 better than Nemotron 3 Ultra for coding?
Pick DeepSeek V4 Flash 0731 for coding: it scores 51.8 on the Vibe Coding Index against 30.0 for Nemotron 3 Ultra. Pick Nemotron 3 Ultra for work measured by LegalBench (Vals AI) or CorpFin (Vals AI), where it leads.
Which is cheaper, DeepSeek V4 Flash 0731 or Nemotron 3 Ultra?
DeepSeek V4 Flash 0731 costs $0.14 per million input tokens and $0.396 per million output tokens; Nemotron 3 Ultra costs $0.60 and $2.40. Cost per solved task is known for DeepSeek V4 Flash 0731 only.
Which has the bigger context window, DeepSeek V4 Flash 0731 or Nemotron 3 Ultra?
DeepSeek V4 Flash 0731, with 1.05M tokens against 262K.
How many benchmarks is the DeepSeek V4 Flash 0731 vs Nemotron 3 Ultra comparison based on?
39 benchmarks have a result for both models as of October 23, 2026. DeepSeek V4 Flash 0731's coding index rests on 4 independent benchmarks and Nemotron 3 Ultra's on 3. Where only one model has a result, the page says so instead of naming a winner.