Nemotron 3 Super vs Qwen3.5-9B
Qwen3.5-9B leads Nemotron 3 Super on the Artificial Analysis Intelligence Index, 13.3 to 12.8, and Qwen3.5-9B costs 3.0x less per output token ($0.15 vs $0.45 per million). Updated October 22, 2026; 10 benchmarks have a result for both.
Nemotron 3 Super or Qwen3.5-9B: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Nemotron 3 Super for work measured by AA Intelligence Index or τ²-Bench Telecom, where it leads.
- Shared results
- 10
- Nemotron 3 Super only
- 29
- Qwen3.5-9B only
- 6
- Like-for-like categories
- 6 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
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
Qwen3.5-9B
Qwen3.5-9B leads, 13.3 against 12.8.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Nemotron 3 Super has a AA Agentic Index result, 1.7.
Directional only
Long documents
Listed context window
No call
Both take 262K tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3.5-9B
Nemotron 3 Super $0.0003, Qwen3.5-9B $0.0002 per turn.
List prices
At a glance
- Coding index
- Nemotron 3 Super not benchmarked, Qwen3.5-9B not benchmarked.
- Widest category
- Agentic work, 19.0 points apart on average over 1 shared benchmark.
- Widest single gap
- τ²-Bench Telecom: Nemotron 3 Super 67.8% against Qwen3.5-9B 86.8%, 19.0 points apart on a 0 to 100 scale.
- Output price
- Nemotron 3 Super $0.45 against Qwen3.5-9B $0.15 per million output tokens, 3.0x apart.
- Context window
- Both take 262K 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 | Nemotron 3 Super | Bars | Qwen3.5-9B | Ties |
|---|---|---|---|---|
| Coding | 3 | 0 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 0 | 1 | ||
| Reasoning | 1 | 1 | ||
| Math | 1 | 0 | ||
| General | 1 | 1 | ||
| All shared boards | 6 | 4 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
| Benchmark | Nemotron 3 Super | Qwen3.5-9B | Leader |
|---|---|---|---|
| AA Coding Index | 37.7 | 23.5 | Nemotron 3 Super |
| SciCode | 36.2% | 29.5% | Nemotron 3 Super |
| Terminal-Bench Hard (Artificial Analysis run) | 28.8% | 24.2% | Nemotron 3 Super |
| Terminal-Bench | Not measured | 9.2% | Only Qwen3.5-9B measured |
| WeirdML | 38.0% | Not measured | Only Nemotron 3 Super measured |
| ALE-Bench | 213.9 | Not measured | Only Nemotron 3 Super measured |
| LMArena Text: coding | 1403 | Not measured | Only Nemotron 3 Super measured |
| LMArena Text: software and IT | 1409 | Not measured | Only Nemotron 3 Super measured |
| Neither model has a result on the other 35 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Nemotron 3 Super | Qwen3.5-9B | Leader |
|---|---|---|---|
| AA Intelligence Index | 12.8 | 13.3 | Qwen3.5-9B |
| Epoch Capabilities Index | Not measured | 139.3 | Only Qwen3.5-9B measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Nemotron 3 Super | Qwen3.5-9B | Leader |
|---|---|---|---|
| AA Agentic Index | 1.7 | Not measured | Only Nemotron 3 Super measured |
| τ²-Bench Telecom | 67.8% | 86.8% | Qwen3.5-9B |
| Neither model has a result on the other 40 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | Nemotron 3 Super | Qwen3.5-9B | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 80.0% | 80.6% | Qwen3.5-9B |
| Humanity's Last Exam (Artificial Analysis run) | 20.8% | 14.9% | Nemotron 3 Super |
| GPQA Diamond (Epoch AI run) | Not measured | 79.0% | Only Qwen3.5-9B measured |
| LMArena Text: hard prompts | 1386 | Not measured | Only Nemotron 3 Super measured |
| LMArena Text: expert | 1398 | Not measured | Only Nemotron 3 Super measured |
| LMArena Text: hard prompts in English | 1397 | Not measured | Only Nemotron 3 Super measured |
| Neither model has a result on the other 17 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Nemotron 3 Super | Qwen3.5-9B | Leader |
|---|---|---|---|
| OTIS Mock AIME | Not measured | 61.7% | Only Qwen3.5-9B measured |
| LMArena Text: math | 1380 | Not measured | Only Nemotron 3 Super measured |
| LMArena Text: mathematical work | 1405 | Not measured | Only Nemotron 3 Super measured |
| MathArena | 16.6% | 13.0% | Nemotron 3 Super |
| Neither model has a result on the other 10 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
| Benchmark | Nemotron 3 Super | Qwen3.5-9B | Leader |
|---|---|---|---|
| LMArena Text: science | 1387 | Not measured | Only Nemotron 3 Super measured |
| LMArena Text: medicine and healthcare | 1383 | Not measured | Only Nemotron 3 Super measured |
| LMArena Text: legal and government | 1392 | Not measured | Only Nemotron 3 Super measured |
| LMArena Text: business and finance | 1364 | Not measured | Only Nemotron 3 Super measured |
| Neither model has a result on the other 16 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Nemotron 3 Super | Qwen3.5-9B | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | Nemotron 3 Super | Qwen3.5-9B | Leader |
|---|---|---|---|
| IFBench | 71.5% | 66.7% | Nemotron 3 Super |
| Long context reasoning (AA-LCR) | 65.7% | 70.0% | Qwen3.5-9B |
| DTBench | Not measured | 71.2% | Only Qwen3.5-9B measured |
| LMCA | Not measured | 24.5% | Only Qwen3.5-9B measured |
| LMArena Text | 1378 | Not measured | Only Nemotron 3 Super measured |
| LMArena Text: instruction following | 1347 | Not measured | Only Nemotron 3 Super measured |
| LMArena Text: creative writing | 1317 | Not measured | Only Nemotron 3 Super measured |
| LMArena Text: English | 1400 | Not measured | Only Nemotron 3 Super measured |
| LMArena Text: non-English | 1356 | Not measured | Only Nemotron 3 Super measured |
| LMArena Text: Chinese | 1431 | Not measured | Only Nemotron 3 Super measured |
| LMArena Text: German | 1341 | Not measured | Only Nemotron 3 Super measured |
| LMArena Text: French | 1403 | Not measured | Only Nemotron 3 Super measured |
| LMArena Text: Spanish | 1418 | Not measured | Only Nemotron 3 Super measured |
| LMArena Text: Russian | 1336 | Not measured | Only Nemotron 3 Super measured |
| LMArena Text: Polish | 1346 | Not measured | Only Nemotron 3 Super measured |
| LMArena Text: multi-turn | 1369 | Not measured | Only Nemotron 3 Super measured |
| LMArena Text: longer queries | 1362 | Not measured | Only Nemotron 3 Super measured |
| LMArena Text: writing and language | 1332 | Not measured | Only Nemotron 3 Super measured |
| LMArena Text: entertainment and media | 1336 | Not measured | Only Nemotron 3 Super measured |
| Neither model has a result on the other 29 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Nemotron 3 Super | Qwen3.5-9B | 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
Qwen3.5-9B costs less
Repository review
50K input + 3K output tokens
Qwen3.5-9B costs less
Agent loop
200K input + 10K output tokens
Same cost
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 | NVIDIA Nemotron 3 Super | Qwen3.5-9B |
|---|---|---|
| Maker | NVIDIA | Qwen |
| Weights | Open weights | Open weights |
| Released | March 11, 2026 | March 10, 2026 |
| Context window | 262K | 262K |
| Input $/Mtok | $0.085 | $0.10 |
| Output $/Mtok | $0.45 | $0.15 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Nemotron 3 Super better than Qwen3.5-9B for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Nemotron 3 Super for work measured by AA Intelligence Index or τ²-Bench Telecom, where it leads.
Which is cheaper, Nemotron 3 Super or Qwen3.5-9B?
Nemotron 3 Super costs $0.085 per million input tokens and $0.45 per million output tokens; Qwen3.5-9B costs $0.10 and $0.15. Cost per solved task is known for neither of them.
Which has the bigger context window, Nemotron 3 Super or Qwen3.5-9B?
Neither: both take 262K tokens.
How many benchmarks is the Nemotron 3 Super vs Qwen3.5-9B comparison based on?
10 benchmarks have a result for both models as of October 22, 2026. Nemotron 3 Super's coding index rests on 0 independent benchmarks and Qwen3.5-9B's on 0. Where only one model has a result, the page says so instead of naming a winner.