Gemini 3.8 Flash vs Nemotron 3 Ultra
Gemini 3.8 Flash leads Nemotron 3 Ultra on coding, 61.6 to 30.0 on the Vibe Coding Index, and Nemotron 3 Ultra costs 1.6x less per output token ($2.40 vs $3.75 per million). Updated October 22, 2026; 66 benchmarks have a result for both.
vs boards won of 66 shared
Gemini 3.8 Flash or Nemotron 3 Ultra: which to pick
Pick Gemini 3.8 Flash for coding: it scores 61.6 on the Vibe Coding Index against 30.0 for Nemotron 3 Ultra.
Pick Nemotron 3 Ultra for output tokens 1.6x cheaper ($2.40 vs $3.75 per million).
Model AGemini 3.8 FlashGoogle61.6/1006 independent benchmarks$2.74 per solved taskModel BNemotron 3 UltraNVIDIA30.0/1003 independent benchmarksNo cost per solved task
- Shared results
- 66
- Gemini 3.8 Flash only
- 70
- Nemotron 3 Ultra only
- 5
- 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
Gemini 3.8 Flash
Gemini 3.8 Flash scores 61.6 against 30.0.
6 and 3 benchmarks behind the scores
Intelligence
AA Intelligence Index
Gemini 3.8 Flash
Gemini 3.8 Flash leads, 40.9 against 22.9.
Same board, both measured
Agentic work
AA Agentic Index
Gemini 3.8 Flash
Gemini 3.8 Flash leads, 40.2 against 20.1.
Same board, both measured
Reasoning
GPQA Diamond
Gemini 3.8 Flash
Gemini 3.8 Flash leads, 94.4% against 86.1%.
Same board, both measured
Knowledge
MMLU Pro
Gemini 3.8 Flash
Gemini 3.8 Flash leads, 90.2% against 85.8%.
Same board, both measured
Web design
Design Arena: websites
Gemini 3.8 Flash
Gemini 3.8 Flash leads, 1300 against 1145.
Same board, both measured
General
Vals Index
No call
Only Gemini 3.8 Flash has a Vals Index result, 56.0%.
Directional only
Long documents
Listed context window
Gemini 3.8 Flash
Gemini 3.8 Flash takes 1.05M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Nemotron 3 Ultra
Gemini 3.8 Flash $0.0026, Nemotron 3 Ultra $0.0018 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Gemini 3.8 Flash has the number, $2.74.
Directional only
At a glance
- Coding index
- Gemini 3.8 Flash 61.6 from 6 benchmarks, Nemotron 3 Ultra 30.0 from 3 benchmarks.
- Widest category
- Agentic work, 29.9 points apart on average over 5 shared benchmarks.
- Widest single gap
- Vibe Code Bench (Vals AI): Gemini 3.8 Flash 78.7% against Nemotron 3 Ultra 7.6%, 71.0 points apart on a 0 to 100 scale.
- Output price
- Gemini 3.8 Flash $3.75 against Nemotron 3 Ultra $2.40 per million output tokens, 1.6x apart.
- Context window
- Gemini 3.8 Flash 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 | Gemini 3.8 Flash | Bars | Nemotron 3 Ultra | Ties |
|---|---|---|---|---|
| Coding | 12 | 0 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 5 | 0 | ||
| Reasoning | 8 | 0 | ||
| Math | 4 | 0 | ||
| Knowledge | 8 | 0 | ||
| Web design | 8 | 0 | ||
| General | 19 | 0 | ||
| All shared boards | 66 | 0 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index120
| Benchmark | Gemini 3.8 Flash | Nemotron 3 Ultra | Leader |
|---|---|---|---|
| LiveBench coding | 82.2% | Not measured | Only Gemini 3.8 Flash measured |
| LMArena WebDev | 1585 | Not measured | Only Gemini 3.8 Flash measured |
| AA Coding Index | 76.3 | 49.3 | Gemini 3.8 Flash |
| LiveCodeBench (Vals AI) | 89.5% | 86.0% | Gemini 3.8 Flash |
| SWE-bench Verified (Vals AI) | 80.0% | 69.0% | Gemini 3.8 Flash |
| Terminal-Bench 4 (Vals AI) | 19.7% | Not measured | Only Gemini 3.8 Flash measured |
| Vibe Code Bench (Vals AI) | 78.7% | 7.6% | Gemini 3.8 Flash |
| Code migration (Vals AI) | 36.5% | 4.9% | Gemini 3.8 Flash |
| ProgramBench (Vals AI) | 1.0% | 0.0% | Gemini 3.8 Flash |
| IOI (Vals AI) | 56.9% | Not measured | Only Gemini 3.8 Flash measured |
| Terminal-Bench 2.1 (Vals AI) | 81.3% | 50.9% | Gemini 3.8 Flash |
| SWE-bench Multimodal (Vals AI) | 40.8% | Not measured | Only Gemini 3.8 Flash measured |
| Vibe Code Bench 1-100 (Vals AI) | 18.8% | Not measured | Only Gemini 3.8 Flash measured |
| SkillsBench (Vals AI) | 58.0% | Not measured | Only Gemini 3.8 Flash measured |
| CyberBench (Vals AI) | 43.8% | Not measured | Only Gemini 3.8 Flash measured |
| SciCode | 56.6% | 40.3% | Gemini 3.8 Flash |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 36.4% | Only Nemotron 3 Ultra measured |
| FrontierCode | 41.2% | 13.6% | Gemini 3.8 Flash |
| FrontierSWE | 19.6% | Not measured | Only Gemini 3.8 Flash measured |
| WeirdML | 84.8% | 43.5% | Gemini 3.8 Flash |
| ALE-Bench | 1269.7 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Text: coding | 1508 | 1468 | Gemini 3.8 Flash |
| LMArena Text: software and IT | 1507 | 1468 | Gemini 3.8 Flash |
| LMArena WebDev: React | 1577 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena WebDev: HTML | 1616 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena WebDev: from an image | 1593 | Not measured | Only Gemini 3.8 Flash measured |
| SciCode | 12.3% | Not measured | Only Gemini 3.8 Flash measured |
| SWE-Bench Pro V2 | 94.9% | Not measured | Only Gemini 3.8 Flash measured |
| SWE Atlas: Codebase QnA | 47.0% | Not measured | Only Gemini 3.8 Flash measured |
| SWE Atlas: Refactoring | 44.8% | Not measured | Only Gemini 3.8 Flash measured |
| SWE Atlas: Test Writing | 53.7% | Not measured | Only Gemini 3.8 Flash measured |
| Neither model has a result on the other 12 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Gemini 3.8 Flash | Nemotron 3 Ultra | Leader |
|---|---|---|---|
| AA Intelligence Index | 40.9 | 22.9 | Gemini 3.8 Flash |
| Epoch Capabilities Index | 157.4 | 146.0 | Gemini 3.8 Flash |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Gemini 3.8 Flash | Nemotron 3 Ultra | Leader |
|---|---|---|---|
| AA Agentic Index | 40.2 | 20.1 | Gemini 3.8 Flash |
| Design Arena: agents building web apps | 1238 | Not measured | Only Gemini 3.8 Flash measured |
| Design Arena: agents building full-stack apps | 1244 | Not measured | Only Gemini 3.8 Flash measured |
| Design Arena: agents building mobile apps | 1236 | Not measured | Only Gemini 3.8 Flash measured |
| Design Arena: agents building Android apps | 1078 | Not measured | Only Gemini 3.8 Flash measured |
| Design Arena: agents building Godot games | 1273 | Not measured | Only Gemini 3.8 Flash measured |
| Design Arena: PowerPoint slides | 1152 | Not measured | Only Gemini 3.8 Flash measured |
| Design Arena: spreadsheets | 1037 | Not measured | Only Gemini 3.8 Flash measured |
| LiveBench research | 79.1% | Not measured | Only Gemini 3.8 Flash measured |
| LiveBench browser | 64.0% | Not measured | Only Gemini 3.8 Flash measured |
| LiveBench long agentic | 30.1% | Not measured | Only Gemini 3.8 Flash measured |
| SREBench (Vals AI) | 11.1% | Not measured | Only Gemini 3.8 Flash measured |
| Finance Agent (Vals AI) | 61.4% | 37.7% | Gemini 3.8 Flash |
| Tax Agent Bench (Vals AI) | 32.1% | Not measured | Only Gemini 3.8 Flash measured |
| Legal Research Bench (Vals AI) | 38.9% | 15.4% | Gemini 3.8 Flash |
| Harvey's Legal Agent Benchmark (Vals AI) | 12.1% | Not measured | Only Gemini 3.8 Flash measured |
| Excel Modeling Benchmark (Vals AI) | 72.2% | 31.7% | Gemini 3.8 Flash |
| BioMysteryBench (Vals AI) | 62.2% | Not measured | Only Gemini 3.8 Flash measured |
| Terminal-Bench-Science (Vals AI) | 8.6% | Not measured | Only Gemini 3.8 Flash measured |
| Vals Science Index | 35.8% | Not measured | Only Gemini 3.8 Flash measured |
| Time Horizon Index (Vals AI) | 18.8% | Not measured | Only Gemini 3.8 Flash measured |
| CUA-bench (Vals AI) | 4.2% | Not measured | Only Gemini 3.8 Flash measured |
| τ²-Bench Telecom | Not measured | 83.3% | Only Nemotron 3 Ultra measured |
| APEX-Agents | 64.3% | 22.7% | Gemini 3.8 Flash |
| Remote Labor Index | 5.8% | Not measured | Only Gemini 3.8 Flash measured |
| Vending-Bench 2 | $5,094 | Not measured | Only Gemini 3.8 Flash measured |
| MCP Atlas | Not measured | 63.1% | Only Nemotron 3 Ultra measured |
| Neither model has a result on the other 15 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index80
| Benchmark | Gemini 3.8 Flash | Nemotron 3 Ultra | Leader |
|---|---|---|---|
| GPQA Diamond | 94.4% | 86.1% | Gemini 3.8 Flash |
| LiveBench reasoning | 89.3% | Not measured | Only Gemini 3.8 Flash measured |
| MysteryMechanism (Vals AI) | 36.5% | Not measured | Only Gemini 3.8 Flash measured |
| MMMU Pro (Vals AI) | 89.1% | Not measured | Only Gemini 3.8 Flash measured |
| GPQA Diamond (Artificial Analysis run) | 95.3% | 86.7% | Gemini 3.8 Flash |
| Humanity's Last Exam (Artificial Analysis run) | 47.8% | 28.4% | Gemini 3.8 Flash |
| GPQA Diamond (Epoch AI run) | 95.4% | 85.4% | Gemini 3.8 Flash |
| ARC-AGI | 98.5% | Not measured | Only Gemini 3.8 Flash measured |
| ARC-AGI-2 | 89.2% | Not measured | Only Gemini 3.8 Flash measured |
| Chess puzzles | 58.0% | Not measured | Only Gemini 3.8 Flash measured |
| Mystery game puzzles | 47.0% | 20.0% | Gemini 3.8 Flash |
| LMArena Text: hard prompts | 1509 | 1452 | Gemini 3.8 Flash |
| LMArena Text: expert | 1526 | 1472 | Gemini 3.8 Flash |
| LMArena Text: hard prompts in English | 1504 | 1453 | Gemini 3.8 Flash |
| LMArena Vision: diagrams | 1345 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Vision: homework | 1351 | Not measured | Only Gemini 3.8 Flash measured |
| Humanity's Last Exam (Scale run) | 34.3% | Not measured | Only Gemini 3.8 Flash measured |
| Neither model has a result on the other 6 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Gemini 3.8 Flash | Nemotron 3 Ultra | Leader |
|---|---|---|---|
| OTIS Mock AIME | 98.9% | 86.7% | Gemini 3.8 Flash |
| FrontierMath, tiers 1 to 3 | 68.4% | Not measured | Only Gemini 3.8 Flash measured |
| FrontierMath, tier 4 | 22.0% | Not measured | Only Gemini 3.8 Flash measured |
| ProofBench | 48.0% | 2.0% | Gemini 3.8 Flash |
| LMArena Text: math | 1532 | 1457 | Gemini 3.8 Flash |
| LMArena Text: mathematical work | 1519 | 1461 | Gemini 3.8 Flash |
| MathArena | 34.0% | Not measured | Only Gemini 3.8 Flash measured |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index80
| Benchmark | Gemini 3.8 Flash | Nemotron 3 Ultra | Leader |
|---|---|---|---|
| MMLU Pro | 90.2% | 85.8% | Gemini 3.8 Flash |
| LegalBench (Vals AI) | 87.0% | 82.1% | Gemini 3.8 Flash |
| CorpFin (Vals AI) | Not measured | 65.5% | Only Nemotron 3 Ultra measured |
| TaxEval (Vals AI) | 74.5% | 73.1% | Gemini 3.8 Flash |
| MortgageTax (Vals AI) | 65.3% | Not measured | Only Gemini 3.8 Flash measured |
| MedCode (Vals AI) | 48.1% | 38.6% | Gemini 3.8 Flash |
| SimpleQA Verified | 69.7% | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Text: science | 1523 | 1465 | Gemini 3.8 Flash |
| LMArena Text: medicine and healthcare | 1508 | 1456 | Gemini 3.8 Flash |
| LMArena Text: legal and government | 1497 | 1452 | Gemini 3.8 Flash |
| LMArena Text: business and finance | 1479 | 1434 | Gemini 3.8 Flash |
| FACTS Benchmark Suite | 69.4% | Not measured | Only Gemini 3.8 Flash measured |
| PRBench Finance | 49.5% | Not measured | Only Gemini 3.8 Flash measured |
| PRBench Legal | 48.9% | Not measured | Only Gemini 3.8 Flash measured |
| Neither model has a result on the other 6 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index80
| Benchmark | Gemini 3.8 Flash | Nemotron 3 Ultra | Leader |
|---|---|---|---|
| Design Arena: websites | 1300 | 1145 | Gemini 3.8 Flash |
| Design Arena: UI components | 1316 | 1135 | Gemini 3.8 Flash |
| Design Arena: game dev | 1304 | 1138 | Gemini 3.8 Flash |
| Design Arena: data viz | 1271 | 1141 | Gemini 3.8 Flash |
| Design Arena: 3D | 1294 | 1131 | Gemini 3.8 Flash |
| Design Arena: all code categories | 1303 | 1146 | Gemini 3.8 Flash |
| Design Arena: SVG | 1295 | 1069 | Gemini 3.8 Flash |
| Design Arena: ASCII art | 1264 | 1100 | Gemini 3.8 Flash |
| LiveBench design | 72.7% | Not measured | Only Gemini 3.8 Flash measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index190
| Benchmark | Gemini 3.8 Flash | Nemotron 3 Ultra | Leader |
|---|---|---|---|
| Vals Index | 56.0% | Not measured | Only Gemini 3.8 Flash measured |
| LiveBench data analysis | 54.0% | Not measured | Only Gemini 3.8 Flash measured |
| Public Benefits Bench (Vals AI) | 65.3% | Not measured | Only Gemini 3.8 Flash measured |
| SAGE (Vals AI) | 35.1% | Not measured | Only Gemini 3.8 Flash measured |
| MedScribe (Vals AI) | 84.5% | Not measured | Only Gemini 3.8 Flash measured |
| IFBench | Not measured | 81.4% | Only Nemotron 3 Ultra measured |
| Long context reasoning (AA-LCR) | 84.0% | 79.3% | Gemini 3.8 Flash |
| DTBench | 95.7% | 90.1% | Gemini 3.8 Flash |
| LMCA | 52.9% | 36.9% | Gemini 3.8 Flash |
| Surface Evolver Bench | 76.9% | Not measured | Only Gemini 3.8 Flash measured |
| Furniture assembly | 31.7% | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Text | 1499 | 1445 | Gemini 3.8 Flash |
| LMArena Text: instruction following | 1492 | 1418 | Gemini 3.8 Flash |
| LMArena Text: creative writing | 1488 | 1399 | Gemini 3.8 Flash |
| LMArena Vision | 1315 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Text: English | 1498 | 1455 | Gemini 3.8 Flash |
| LMArena Text: non-English | 1491 | 1427 | Gemini 3.8 Flash |
| LMArena Text: Chinese | 1553 | 1497 | Gemini 3.8 Flash |
| LMArena Text: German | 1501 | 1472 | Gemini 3.8 Flash |
| LMArena Text: Japanese | 1507 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Text: Korean | 1464 | 1384 | Gemini 3.8 Flash |
| LMArena Text: French | 1496 | 1472 | Gemini 3.8 Flash |
| LMArena Text: Spanish | 1487 | 1455 | Gemini 3.8 Flash |
| LMArena Text: Russian | 1514 | 1417 | Gemini 3.8 Flash |
| LMArena Text: Polish | 1497 | 1385 | Gemini 3.8 Flash |
| LMArena Text: multi-turn | 1503 | 1411 | Gemini 3.8 Flash |
| LMArena Text: longer queries | 1507 | 1437 | Gemini 3.8 Flash |
| LMArena Text: writing and language | 1494 | 1406 | Gemini 3.8 Flash |
| LMArena Text: entertainment and media | 1480 | 1397 | Gemini 3.8 Flash |
| LMArena Vision: English | 1318 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Vision: Chinese | 1416 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Vision: reading text | 1333 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Vision: humor | 1321 | Not measured | Only Gemini 3.8 Flash measured |
| LMArena Vision: creative writing | 1299 | Not measured | Only Gemini 3.8 Flash measured |
| Neither model has a result on the other 14 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 3.8 Flash | 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
Gemini 3.8 Flash$0.0026Fits in one request
Nemotron 3 Ultra$0.0018Fits in one request
Nemotron 3 Ultra costs less
Repository review
50K input + 3K output tokens
Gemini 3.8 Flash$0.049Fits in one request
Nemotron 3 Ultra$0.037Fits in one request
Nemotron 3 Ultra costs less
Agent loop
200K input + 10K output tokens
Gemini 3.8 Flash$0.188Fits in one request
Nemotron 3 Ultra$0.144Fits in one request
Nemotron 3 Ultra 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 | Google Gemini 3.8 Flash | NVIDIA Nemotron 3 Ultra |
|---|---|---|
| Maker | NVIDIA | |
| Weights | No public weights listed | Open weights |
| Released | September 2, 2026 | June 4, 2026 |
| Context window | 1.05M | 262K |
| Input $/Mtok | $0.75 | $0.60 |
| Output $/Mtok | $3.75 | $2.40 |
| Coding index | 61.6 | 30.0 |
| Independent measurements behind it | 6 | 3 |
| Cost per solved task | $2.74 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 3.8 Flash better than Nemotron 3 Ultra for coding?
Pick Gemini 3.8 Flash for coding: it scores 61.6 on the Vibe Coding Index against 30.0 for Nemotron 3 Ultra. Pick Nemotron 3 Ultra for output tokens 1.6x cheaper ($2.40 vs $3.75 per million).
Which is cheaper, Gemini 3.8 Flash or Nemotron 3 Ultra?
Gemini 3.8 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; Nemotron 3 Ultra costs $0.60 and $2.40. Cost per solved task is known for Gemini 3.8 Flash only.
Which has the bigger context window, Gemini 3.8 Flash or Nemotron 3 Ultra?
Gemini 3.8 Flash, with 1.05M tokens against 262K.
How many benchmarks is the Gemini 3.8 Flash vs Nemotron 3 Ultra comparison based on?
66 benchmarks have a result for both models as of October 22, 2026. Gemini 3.8 Flash's coding index rests on 6 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.