Gemini 2.5 Pro vs Nemotron 3 Ultra
Nemotron 3 Ultra leads Gemini 2.5 Pro on coding, 30.0 to 19.1 on the Vibe Coding Index, and Nemotron 3 Ultra costs 4.2x less per output token ($2.40 vs $10.00 per million). Updated October 22, 2026; 53 benchmarks have a result for both.
Gemini 2.5 Pro or Nemotron 3 Ultra: which to pick
Pick Nemotron 3 Ultra for coding: it scores 30.0 on the Vibe Coding Index against 19.1 for Gemini 2.5 Pro.
Pick Gemini 2.5 Pro for a larger context window (1.05M against 262K tokens) and work measured by SciCode or WeirdML, where it leads.
- Shared results
- 53
- Gemini 2.5 Pro only
- 41
- Nemotron 3 Ultra only
- 18
- 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
Nemotron 3 Ultra
Nemotron 3 Ultra scores 30.0 against 19.1.
3 benchmarks behind each score
Intelligence
AA Intelligence Index
Nemotron 3 Ultra
Nemotron 3 Ultra leads, 22.9 against 16.1.
Same board, both measured
Agentic work
AA Agentic Index
Nemotron 3 Ultra
Nemotron 3 Ultra leads, 20.1 against 1.6.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only Nemotron 3 Ultra has a GPQA Diamond result, 86.1%.
Directional only
Knowledge
MMLU Pro
No call
Only Nemotron 3 Ultra has a MMLU Pro result, 85.8%.
Directional only
Web design
Design Arena: websites
Gemini 2.5 Pro
Gemini 2.5 Pro leads, 1167 against 1145.
Same board, both measured
Long documents
Listed context window
Gemini 2.5 Pro
Gemini 2.5 Pro takes 1.05M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Nemotron 3 Ultra
Gemini 2.5 Pro $0.0063, Nemotron 3 Ultra $0.0018 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Gemini 2.5 Pro has the number, $0.64.
Directional only
At a glance
- Coding index
- Gemini 2.5 Pro 19.1 from 3 benchmarks, Nemotron 3 Ultra 30.0 from 3 benchmarks.
- Widest category
- Agentic work, 23.9 points apart on average over 2 shared benchmarks.
- Widest single gap
- IFBench: Gemini 2.5 Pro 48.7% against Nemotron 3 Ultra 81.4%, 32.7 points apart on a 0 to 100 scale.
- Output price
- Gemini 2.5 Pro $10.00 against Nemotron 3 Ultra $2.40 per million output tokens, 4.2x apart.
- Context window
- Gemini 2.5 Pro 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 2.5 Pro | Bars | Nemotron 3 Ultra | Ties |
|---|---|---|---|---|
| Coding | 2 | 6 | ||
| Intelligence | 0 | 2 | ||
| Agentic work | 0 | 2 | ||
| Reasoning | 1 | 5 | ||
| Math | 0 | 3 | ||
| Knowledge | 5 | 1 | ||
| Web design | 4 | 2 | ||
| General | 16 | 4 | ||
| All shared boards | 28 | 25 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index26
| Benchmark | Gemini 2.5 Pro | Nemotron 3 Ultra | Leader |
|---|---|---|---|
| SWE-bench Verified | 53.6% | Not measured | Only Gemini 2.5 Pro measured |
| LMArena WebDev | 1226 | Not measured | Only Gemini 2.5 Pro measured |
| AA Coding Index | 33.3 | 49.3 | Nemotron 3 Ultra |
| LiveCodeBench (Vals AI) | Not measured | 86.0% | Only Nemotron 3 Ultra measured |
| SWE-bench Verified (Vals AI) | 54.4% | 69.0% | Nemotron 3 Ultra |
| Vibe Code Bench (Vals AI) | 0.4% | 7.6% | Nemotron 3 Ultra |
| Code migration (Vals AI) | Not measured | 4.9% | Only Nemotron 3 Ultra measured |
| ProgramBench (Vals AI) | Not measured | 0.0% | Only Nemotron 3 Ultra measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 50.9% | Only Nemotron 3 Ultra measured |
| LiveCodeBench (Artificial Analysis run) | 80.1% | Not measured | Only Gemini 2.5 Pro measured |
| SciCode | 46.3% | 40.3% | Gemini 2.5 Pro |
| Terminal-Bench Hard (Artificial Analysis run) | 26.5% | 36.4% | Nemotron 3 Ultra |
| Terminal-Bench | 32.6% | Not measured | Only Gemini 2.5 Pro measured |
| FrontierCode | Not measured | 13.6% | Only Nemotron 3 Ultra measured |
| GSO-Bench | 3.9% | Not measured | Only Gemini 2.5 Pro measured |
| WeirdML | 54.0% | 43.5% | Gemini 2.5 Pro |
| LMArena Text: coding | 1452 | 1468 | Nemotron 3 Ultra |
| LMArena Text: software and IT | 1459 | 1468 | Nemotron 3 Ultra |
| LMArena WebDev: HTML | 1235 | Not measured | Only Gemini 2.5 Pro measured |
| LMArena WebDev: from an image | 1285 | Not measured | Only Gemini 2.5 Pro measured |
| Neither model has a result on the other 23 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Gemini 2.5 Pro | Nemotron 3 Ultra | Leader |
|---|---|---|---|
| AA Intelligence Index | 16.1 | 22.9 | Nemotron 3 Ultra |
| Epoch Capabilities Index | 145.1 | 146.0 | Nemotron 3 Ultra |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Gemini 2.5 Pro | Nemotron 3 Ultra | Leader |
|---|---|---|---|
| AA Agentic Index | 1.6 | 20.1 | Nemotron 3 Ultra |
| Finance Agent (Vals AI) | Not measured | 37.7% | Only Nemotron 3 Ultra measured |
| Legal Research Bench (Vals AI) | Not measured | 15.4% | Only Nemotron 3 Ultra measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 31.7% | Only Nemotron 3 Ultra measured |
| τ²-Bench Telecom | 54.1% | 83.3% | Nemotron 3 Ultra |
| APEX-Agents | Not measured | 22.7% | Only Nemotron 3 Ultra measured |
| GDPval | 23.3% | Not measured | Only Gemini 2.5 Pro measured |
| DeepResearch Bench | 41.5% | Not measured | Only Gemini 2.5 Pro measured |
| Vending-Bench 2 | $574 | Not measured | Only Gemini 2.5 Pro measured |
| BrowseComp-Plus | 29.5% | Not measured | Only Gemini 2.5 Pro measured |
| MCP Atlas | Not measured | 63.1% | Only Nemotron 3 Ultra measured |
| Neither model has a result on the other 31 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index15
| Benchmark | Gemini 2.5 Pro | Nemotron 3 Ultra | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 86.1% | Only Nemotron 3 Ultra measured |
| GPQA Diamond (Artificial Analysis run) | 84.4% | 86.7% | Nemotron 3 Ultra |
| Humanity's Last Exam (Artificial Analysis run) | 22.5% | 28.4% | Nemotron 3 Ultra |
| GPQA Diamond (Epoch AI run) | 85.3% | 85.4% | Nemotron 3 Ultra |
| ARC-AGI | 41.0% | Not measured | Only Gemini 2.5 Pro measured |
| ARC-AGI-2 | 4.9% | Not measured | Only Gemini 2.5 Pro measured |
| Mystery game puzzles | Not measured | 20.0% | Only Nemotron 3 Ultra measured |
| LMArena Text: hard prompts | 1455 | 1452 | Gemini 2.5 Pro |
| LMArena Text: expert | 1452 | 1472 | Nemotron 3 Ultra |
| LMArena Text: hard prompts in English | 1453 | 1453 | Nemotron 3 Ultra |
| LMArena Vision: diagrams | 1274 | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Vision: homework | 1281 | Not measured | Only Gemini 2.5 Pro measured |
| Kagi LLM Benchmark | 70.3% | Not measured | Only Gemini 2.5 Pro measured |
| Neither model has a result on the other 10 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | Gemini 2.5 Pro | Nemotron 3 Ultra | Leader |
|---|---|---|---|
| AA Math Index | 87.7 | Not measured | Only Gemini 2.5 Pro measured |
| AIME 2025 (Artificial Analysis run) | 87.7% | Not measured | Only Gemini 2.5 Pro measured |
| OTIS Mock AIME | 84.7% | 86.7% | Nemotron 3 Ultra |
| FrontierMath, tiers 1 to 3 | 24.6% | Not measured | Only Gemini 2.5 Pro measured |
| FrontierMath, tier 4 | 0.0% | Not measured | Only Gemini 2.5 Pro measured |
| ProofBench | Not measured | 2.0% | Only Nemotron 3 Ultra measured |
| LMArena Text: math | 1450 | 1457 | Nemotron 3 Ultra |
| LMArena Text: mathematical work | 1454 | 1461 | Nemotron 3 Ultra |
| MathArena | 12.7% | Not measured | Only Gemini 2.5 Pro measured |
| Neither model has a result on the other 5 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index51
| Benchmark | Gemini 2.5 Pro | Nemotron 3 Ultra | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 85.8% | Only Nemotron 3 Ultra measured |
| LegalBench (Vals AI) | Not measured | 82.1% | Only Nemotron 3 Ultra measured |
| CaseLaw (Vals AI) | 63.9% | Not measured | Only Gemini 2.5 Pro measured |
| CorpFin (Vals AI) | 60.8% | 65.5% | Nemotron 3 Ultra |
| TaxEval (Vals AI) | Not measured | 73.1% | Only Nemotron 3 Ultra measured |
| MortgageTax (Vals AI) | 68.9% | Not measured | Only Gemini 2.5 Pro measured |
| MedCode (Vals AI) | 50.6% | 38.6% | Gemini 2.5 Pro |
| MMLU Pro (Artificial Analysis run) | 86.2% | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Text: science | 1480 | 1465 | Gemini 2.5 Pro |
| LMArena Text: medicine and healthcare | 1476 | 1456 | Gemini 2.5 Pro |
| LMArena Text: legal and government | 1480 | 1452 | Gemini 2.5 Pro |
| LMArena Text: business and finance | 1439 | 1434 | Gemini 2.5 Pro |
| FACTS Benchmark Suite | 61.5% | Not measured | Only Gemini 2.5 Pro measured |
| PRBench Finance | 38.9% | Not measured | Only Gemini 2.5 Pro measured |
| PRBench Legal | 41.4% | Not measured | Only Gemini 2.5 Pro measured |
| Neither model has a result on the other 5 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index42
| Benchmark | Gemini 2.5 Pro | Nemotron 3 Ultra | Leader |
|---|---|---|---|
| Design Arena: websites | 1167 | 1145 | Gemini 2.5 Pro |
| Design Arena: UI components | 1137 | 1135 | Gemini 2.5 Pro |
| Design Arena: game dev | 1111 | 1138 | Nemotron 3 Ultra |
| Design Arena: data viz | 1222 | 1141 | Gemini 2.5 Pro |
| Design Arena: 3D | 1080 | 1131 | Nemotron 3 Ultra |
| Design Arena: all code categories | 1152 | 1146 | Gemini 2.5 Pro |
| Design Arena: SVG | Not measured | 1069 | Only Nemotron 3 Ultra measured |
| Design Arena: ASCII art | Not measured | 1100 | Only Nemotron 3 Ultra measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index164
| Benchmark | Gemini 2.5 Pro | Nemotron 3 Ultra | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 41.9% | Not measured | Only Gemini 2.5 Pro measured |
| MedScribe (Vals AI) | 73.5% | Not measured | Only Gemini 2.5 Pro measured |
| IFBench | 48.7% | 81.4% | Nemotron 3 Ultra |
| Long context reasoning (AA-LCR) | 69.0% | 79.3% | Nemotron 3 Ultra |
| DTBench | 82.4% | 90.1% | Nemotron 3 Ultra |
| LMCA | 34.8% | 36.9% | Nemotron 3 Ultra |
| Creative writing (Lech Mazur) | 83.8% | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Text | 1458 | 1445 | Gemini 2.5 Pro |
| LMArena Text: instruction following | 1437 | 1418 | Gemini 2.5 Pro |
| LMArena Text: creative writing | 1454 | 1399 | Gemini 2.5 Pro |
| LMArena Vision | 1263 | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Text: English | 1458 | 1455 | Gemini 2.5 Pro |
| LMArena Text: non-English | 1452 | 1427 | Gemini 2.5 Pro |
| LMArena Text: Chinese | 1507 | 1497 | Gemini 2.5 Pro |
| LMArena Text: German | 1487 | 1472 | Gemini 2.5 Pro |
| LMArena Text: Japanese | 1461 | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Text: Korean | 1434 | 1384 | Gemini 2.5 Pro |
| LMArena Text: French | 1473 | 1472 | Gemini 2.5 Pro |
| LMArena Text: Spanish | 1474 | 1455 | Gemini 2.5 Pro |
| LMArena Text: Russian | 1461 | 1417 | Gemini 2.5 Pro |
| LMArena Text: Polish | 1479 | 1385 | Gemini 2.5 Pro |
| LMArena Text: multi-turn | 1453 | 1411 | Gemini 2.5 Pro |
| LMArena Text: longer queries | 1449 | 1437 | Gemini 2.5 Pro |
| LMArena Text: writing and language | 1454 | 1406 | Gemini 2.5 Pro |
| LMArena Text: entertainment and media | 1441 | 1397 | Gemini 2.5 Pro |
| LMArena Vision: English | 1261 | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Vision: Chinese | 1300 | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Vision: reading text | 1270 | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Vision: humor | 1262 | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Vision: captioning | 1304 | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Vision: recognizing things | 1283 | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Vision: creative writing | 1265 | Not measured | Only Gemini 2.5 Pro measured |
| LMArena Document | 1421 | Not measured | Only Gemini 2.5 Pro measured |
| MultiChallenge | 53.6% | Not measured | Only Gemini 2.5 Pro 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 2.5 Pro | 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
Nemotron 3 Ultra costs less
Repository review
50K input + 3K output tokens
Nemotron 3 Ultra costs less
Agent loop
200K input + 10K output tokens
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 2.5 Pro | NVIDIA Nemotron 3 Ultra |
|---|---|---|
| Maker | NVIDIA | |
| Weights | No public weights listed | Open weights |
| Released | June 17, 2025 | June 4, 2026 |
| Context window | 1.05M | 262K |
| Input $/Mtok | $1.25 | $0.60 |
| Output $/Mtok | $10.00 | $2.40 |
| Coding index | 19.1 | 30.0 |
| Independent measurements behind it | 3 | 3 |
| Cost per solved task | $0.64 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 2.5 Pro better than Nemotron 3 Ultra for coding?
Pick Nemotron 3 Ultra for coding: it scores 30.0 on the Vibe Coding Index against 19.1 for Gemini 2.5 Pro. Pick Gemini 2.5 Pro for a larger context window (1.05M against 262K tokens) and work measured by SciCode or WeirdML, where it leads.
Which is cheaper, Gemini 2.5 Pro or Nemotron 3 Ultra?
Gemini 2.5 Pro costs $1.25 per million input tokens and $10.00 per million output tokens; Nemotron 3 Ultra costs $0.60 and $2.40. Cost per solved task is known for Gemini 2.5 Pro only.
Which has the bigger context window, Gemini 2.5 Pro or Nemotron 3 Ultra?
Gemini 2.5 Pro, with 1.05M tokens against 262K.
How many benchmarks is the Gemini 2.5 Pro vs Nemotron 3 Ultra comparison based on?
53 benchmarks have a result for both models as of October 22, 2026. Gemini 2.5 Pro's coding index rests on 3 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.