gpt-oss-120b vs Nemotron 3 Ultra
Nemotron 3 Ultra leads gpt-oss-120b on the Artificial Analysis Intelligence Index, 22.9 to 11.6, and gpt-oss-120b costs 4.8x less per output token ($0.50 vs $2.40 per million). Updated October 22, 2026; 58 benchmarks have a result for both.
gpt-oss-120b or Nemotron 3 Ultra: which to pick
Only Nemotron 3 Ultra has a coding score, 30.0 on the Vibe Coding Index; gpt-oss-120b has none, so the two cannot be ranked on coding.
Pick gpt-oss-120b for output tokens 4.8x cheaper ($0.50 vs $2.40 per million) and work measured by WeirdML or OTIS Mock AIME, where it leads.
- Shared results
- 58
- gpt-oss-120b only
- 27
- Nemotron 3 Ultra only
- 13
- 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
No call
Only Nemotron 3 Ultra has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Nemotron 3 Ultra
Nemotron 3 Ultra leads, 22.9 against 11.6.
Same board, both measured
Agentic work
AA Agentic Index
Nemotron 3 Ultra
Nemotron 3 Ultra leads, 20.1 against 3.7.
Same board, both measured
Reasoning
GPQA Diamond
Nemotron 3 Ultra
Nemotron 3 Ultra leads, 86.1% against 78.5%.
Same board, both measured
Math
AIME
No call
Only gpt-oss-120b has a AIME result, 92.6%.
Directional only
Knowledge
MMLU Pro
Nemotron 3 Ultra
Nemotron 3 Ultra leads, 85.8% against 79.2%.
Same board, both measured
Web design
Design Arena: websites
Nemotron 3 Ultra
Nemotron 3 Ultra leads, 1145 against 968.
Same board, both measured
Long documents
Listed context window
Nemotron 3 Ultra
Nemotron 3 Ultra takes 262K tokens against 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
gpt-oss-120b
gpt-oss-120b $0.0003, Nemotron 3 Ultra $0.0018 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only gpt-oss-120b has the number, $0.51.
Directional only
At a glance
- Coding index
- gpt-oss-120b not benchmarked, Nemotron 3 Ultra 30.0 from 3 benchmarks.
- Widest category
- Web design, 23.0 points apart on average over 6 shared benchmarks.
- Widest single gap
- SWE-bench Verified (Vals AI): gpt-oss-120b 33.6% against Nemotron 3 Ultra 69.0%, 35.4 points apart on a 0 to 100 scale.
- Output price
- gpt-oss-120b $0.50 against Nemotron 3 Ultra $2.40 per million output tokens, 4.8x apart.
- Context window
- gpt-oss-120b takes 131K 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 | gpt-oss-120b | Bars | Nemotron 3 Ultra | Ties |
|---|---|---|---|---|
| Coding | 1 | 7 | ||
| Intelligence | 0 | 2 | ||
| Agentic work | 0 | 3 | ||
| Reasoning | 0 | 8 | ||
| Math | 1 | 2 | ||
| Knowledge | 0 | 8 | ||
| Web design | 0 | 6 | ||
| General | 0 | 20 | ||
| All shared boards | 2 | 56 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index17
| Benchmark | gpt-oss-120b | Nemotron 3 Ultra | Leader |
|---|---|---|---|
| Aider polyglot | 41.8% | Not measured | Only gpt-oss-120b measured |
| SWE-bench Verified | 26.0% | Not measured | Only gpt-oss-120b measured |
| AA Coding Index | 30.4 | 49.3 | Nemotron 3 Ultra |
| LiveCodeBench (Vals AI) | 83.2% | 86.0% | Nemotron 3 Ultra |
| SWE-bench Verified (Vals AI) | 33.6% | 69.0% | Nemotron 3 Ultra |
| Vibe Code Bench (Vals AI) | Not measured | 7.6% | Only Nemotron 3 Ultra measured |
| 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) | 87.8% | Not measured | Only gpt-oss-120b measured |
| SciCode | 34.0% | 40.3% | Nemotron 3 Ultra |
| Terminal-Bench Hard (Artificial Analysis run) | 23.5% | 36.4% | Nemotron 3 Ultra |
| Terminal-Bench | 18.7% | Not measured | Only gpt-oss-120b measured |
| FrontierCode | Not measured | 13.6% | Only Nemotron 3 Ultra measured |
| WeirdML | 48.2% | 43.5% | gpt-oss-120b |
| ALE-Bench | 575.6 | Not measured | Only gpt-oss-120b measured |
| LMArena Text: coding | 1379 | 1468 | Nemotron 3 Ultra |
| LMArena Text: software and IT | 1387 | 1468 | Nemotron 3 Ultra |
| SciCode | 7.7% | Not measured | Only gpt-oss-120b measured |
| Neither model has a result on the other 24 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | gpt-oss-120b | Nemotron 3 Ultra | Leader |
|---|---|---|---|
| AA Intelligence Index | 11.6 | 22.9 | Nemotron 3 Ultra |
| Epoch Capabilities Index | 139.8 | 146.0 | Nemotron 3 Ultra |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | gpt-oss-120b | Nemotron 3 Ultra | Leader |
|---|---|---|---|
| AA Agentic Index | 3.7 | 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 | 65.8% | 83.3% | Nemotron 3 Ultra |
| APEX-Agents | 4.4% | 22.7% | Nemotron 3 Ultra |
| METR time horizons | 56.6% | Not measured | Only gpt-oss-120b measured |
| Vending-Bench 2 | -$22 | Not measured | Only gpt-oss-120b measured |
| BrowseComp-Plus | 67.0% | Not measured | Only gpt-oss-120b 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 index08
| Benchmark | gpt-oss-120b | Nemotron 3 Ultra | Leader |
|---|---|---|---|
| GPQA Diamond | 78.5% | 86.1% | Nemotron 3 Ultra |
| GPQA Diamond (Artificial Analysis run) | 78.2% | 86.7% | Nemotron 3 Ultra |
| Humanity's Last Exam (Artificial Analysis run) | 19.6% | 28.4% | Nemotron 3 Ultra |
| GPQA Diamond (Epoch AI run) | 75.8% | 85.4% | Nemotron 3 Ultra |
| SimpleBench | 22.1% | Not measured | Only gpt-oss-120b measured |
| Mystery game puzzles | 2.0% | 20.0% | Nemotron 3 Ultra |
| LMArena Text: hard prompts | 1364 | 1452 | Nemotron 3 Ultra |
| LMArena Text: expert | 1356 | 1472 | Nemotron 3 Ultra |
| LMArena Text: hard prompts in English | 1368 | 1453 | Nemotron 3 Ultra |
| Kagi LLM Benchmark | 58.6% | Not measured | Only gpt-oss-120b measured |
| Neither model has a result on the other 13 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index12
| Benchmark | gpt-oss-120b | Nemotron 3 Ultra | Leader |
|---|---|---|---|
| AIME | 92.6% | Not measured | Only gpt-oss-120b measured |
| MATH 500 (Vals AI) | 94.8% | Not measured | Only gpt-oss-120b measured |
| MGSM (Vals AI) | 92.0% | Not measured | Only gpt-oss-120b measured |
| AA Math Index | 93.4 | Not measured | Only gpt-oss-120b measured |
| AIME 2025 (Artificial Analysis run) | 93.4% | Not measured | Only gpt-oss-120b measured |
| OTIS Mock AIME | 88.9% | 86.7% | gpt-oss-120b |
| ProofBench | Not measured | 2.0% | Only Nemotron 3 Ultra measured |
| LMArena Text: math | 1389 | 1457 | Nemotron 3 Ultra |
| LMArena Text: mathematical work | 1386 | 1461 | Nemotron 3 Ultra |
| MathArena | 15.1% | Not measured | Only gpt-oss-120b measured |
| Neither model has a result on the other 4 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index08
| Benchmark | gpt-oss-120b | Nemotron 3 Ultra | Leader |
|---|---|---|---|
| MMLU Pro | 79.2% | 85.8% | Nemotron 3 Ultra |
| LegalBench (Vals AI) | 75.9% | 82.1% | Nemotron 3 Ultra |
| CaseLaw (Vals AI) | 48.8% | Not measured | Only gpt-oss-120b measured |
| CorpFin (Vals AI) | 58.2% | 65.5% | Nemotron 3 Ultra |
| TaxEval (Vals AI) | 71.6% | 73.1% | Nemotron 3 Ultra |
| MedQA (Vals AI) | 91.4% | Not measured | Only gpt-oss-120b measured |
| MedCode (Vals AI) | Not measured | 38.6% | Only Nemotron 3 Ultra measured |
| MMLU Pro (Artificial Analysis run) | 80.8% | Not measured | Only gpt-oss-120b measured |
| LMArena Text: science | 1382 | 1465 | Nemotron 3 Ultra |
| LMArena Text: medicine and healthcare | 1388 | 1456 | Nemotron 3 Ultra |
| LMArena Text: legal and government | 1355 | 1452 | Nemotron 3 Ultra |
| LMArena Text: business and finance | 1359 | 1434 | Nemotron 3 Ultra |
| PRBench Finance | 43.8% | Not measured | Only gpt-oss-120b measured |
| PRBench Legal | 40.2% | Not measured | Only gpt-oss-120b measured |
| Neither model has a result on the other 6 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index06
| Benchmark | gpt-oss-120b | Nemotron 3 Ultra | Leader |
|---|---|---|---|
| Design Arena: websites | 968 | 1145 | Nemotron 3 Ultra |
| Design Arena: UI components | 924 | 1135 | Nemotron 3 Ultra |
| Design Arena: game dev | 991 | 1138 | Nemotron 3 Ultra |
| Design Arena: data viz | 987 | 1141 | Nemotron 3 Ultra |
| Design Arena: 3D | 901 | 1131 | Nemotron 3 Ultra |
| Design Arena: all code categories | 962 | 1146 | Nemotron 3 Ultra |
| 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 index020
| Benchmark | gpt-oss-120b | Nemotron 3 Ultra | Leader |
|---|---|---|---|
| IFBench | 69.0% | 81.4% | Nemotron 3 Ultra |
| Long context reasoning (AA-LCR) | 52.0% | 79.3% | Nemotron 3 Ultra |
| DTBench | 76.3% | 90.1% | Nemotron 3 Ultra |
| LMCA | 22.1% | 36.9% | Nemotron 3 Ultra |
| Fiction.LiveBench | 44.4% | Not measured | Only gpt-oss-120b measured |
| Creative writing (Lech Mazur) | 77.1% | Not measured | Only gpt-oss-120b measured |
| Surface Evolver Bench | 25.0% | Not measured | Only gpt-oss-120b measured |
| LMArena Text | 1366 | 1445 | Nemotron 3 Ultra |
| LMArena Text: instruction following | 1318 | 1418 | Nemotron 3 Ultra |
| LMArena Text: creative writing | 1274 | 1399 | Nemotron 3 Ultra |
| LMArena Text: English | 1375 | 1455 | Nemotron 3 Ultra |
| LMArena Text: non-English | 1351 | 1427 | Nemotron 3 Ultra |
| LMArena Text: Chinese | 1385 | 1497 | Nemotron 3 Ultra |
| LMArena Text: German | 1353 | 1472 | Nemotron 3 Ultra |
| LMArena Text: Japanese | 1331 | Not measured | Only gpt-oss-120b measured |
| LMArena Text: Korean | 1282 | 1384 | Nemotron 3 Ultra |
| LMArena Text: French | 1370 | 1472 | Nemotron 3 Ultra |
| LMArena Text: Spanish | 1389 | 1455 | Nemotron 3 Ultra |
| LMArena Text: Russian | 1343 | 1417 | Nemotron 3 Ultra |
| LMArena Text: Polish | 1353 | 1385 | Nemotron 3 Ultra |
| LMArena Text: multi-turn | 1340 | 1411 | Nemotron 3 Ultra |
| LMArena Text: longer queries | 1319 | 1437 | Nemotron 3 Ultra |
| LMArena Text: writing and language | 1306 | 1406 | Nemotron 3 Ultra |
| LMArena Text: entertainment and media | 1292 | 1397 | Nemotron 3 Ultra |
| MultiChallenge | 45.3% | Not measured | Only gpt-oss-120b measured |
| Neither model has a result on the other 23 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | gpt-oss-120b | 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
gpt-oss-120b costs less
Repository review
50K input + 3K output tokens
gpt-oss-120b costs less
Agent loop
200K input + 10K output tokens
gpt-oss-120b 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 | OpenAI gpt-oss-120b | NVIDIA Nemotron 3 Ultra |
|---|---|---|
| Maker | OpenAI | NVIDIA |
| Weights | Open weights | Open weights |
| Released | August 5, 2025 | June 4, 2026 |
| Context window | 131K | 262K |
| Input $/Mtok | $0.10 | $0.60 |
| Output $/Mtok | $0.50 | $2.40 |
| Coding index | Not benchmarked | 30.0 |
| Independent measurements behind it | 1 | 3 |
| Cost per solved task | $0.51 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is gpt-oss-120b better than Nemotron 3 Ultra for coding?
Only Nemotron 3 Ultra has a coding score, 30.0 on the Vibe Coding Index; gpt-oss-120b has none, so the two cannot be ranked on coding. Pick gpt-oss-120b for output tokens 4.8x cheaper ($0.50 vs $2.40 per million) and work measured by WeirdML or OTIS Mock AIME, where it leads.
Which is cheaper, gpt-oss-120b or Nemotron 3 Ultra?
gpt-oss-120b costs $0.10 per million input tokens and $0.50 per million output tokens; Nemotron 3 Ultra costs $0.60 and $2.40. Cost per solved task is known for gpt-oss-120b only.
Which has the bigger context window, gpt-oss-120b or Nemotron 3 Ultra?
Nemotron 3 Ultra, with 262K tokens against 131K.
How many benchmarks is the gpt-oss-120b vs Nemotron 3 Ultra comparison based on?
58 benchmarks have a result for both models as of October 22, 2026. gpt-oss-120b's coding index rests on 1 independent benchmark and Nemotron 3 Ultra's on 3. Where only one model has a result, the page says so instead of naming a winner.