Nemotron 3.5 Super VL vs Qwen2.5 Coder 32B Instruct
Nemotron 3.5 Super VL leads Qwen2.5 Coder 32B Instruct on the Artificial Analysis Intelligence Index, 26.5 to 6.7, and Nemotron 3.5 Super VL costs 2.0x less per output token ($0.50 vs $1.00 per million). Updated October 22, 2026; 2 benchmarks have a result for both.
Nemotron 3.5 Super VL or Qwen2.5 Coder 32B Instruct: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Nemotron 3.5 Super VL for output tokens 2.0x cheaper ($0.50 vs $1.00 per million) and a larger context window (1.05M against 33K tokens).
- Shared results
- 2
- Nemotron 3.5 Super VL only
- 14
- Qwen2.5 Coder 32B Instruct only
- 33
- Like-for-like categories
- 2 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
Nemotron 3.5 Super VL
Nemotron 3.5 Super VL leads, 26.5 against 6.7.
Same board, both measured
Web design
Design Arena: websites
No call
Only Nemotron 3.5 Super VL has a Design Arena: websites result, 1172.
Directional only
Long documents
Listed context window
Nemotron 3.5 Super VL
Nemotron 3.5 Super VL takes 1.05M tokens against 33K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Nemotron 3.5 Super VL
Nemotron 3.5 Super VL $0.0004, Qwen2.5 Coder 32B Instruct $0.0012 per turn.
List prices
At a glance
- Coding index
- Nemotron 3.5 Super VL not benchmarked, Qwen2.5 Coder 32B Instruct not benchmarked.
- Widest category
- Reasoning, 27.2 points apart on average over 1 shared benchmark.
- Widest single gap
- Humanity's Last Exam (Artificial Analysis run): Nemotron 3.5 Super VL 30.7% against Qwen2.5 Coder 32B Instruct 3.5%, 27.2 points apart on a 0 to 100 scale.
- Output price
- Nemotron 3.5 Super VL $0.50 against Qwen2.5 Coder 32B Instruct $1.00 per million output tokens, 2.0x apart.
- Context window
- Nemotron 3.5 Super VL takes 1.05M tokens, Qwen2.5 Coder 32B Instruct 33K.
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 3.5 Super VL | Bars | Qwen2.5 Coder 32B Instruct | Ties |
|---|---|---|---|---|
| Intelligence | 1 | 0 | ||
| Reasoning | 1 | 0 | ||
| All shared boards | 2 | 0 |
CodingDirectional onlySix of these boards feed the Vibe Coding Index7 boards, none shared
| Benchmark | Nemotron 3.5 Super VL | Qwen2.5 Coder 32B Instruct | Leader |
|---|---|---|---|
| Aider polyglot | Not measured | 16.4% | Only Qwen2.5 Coder 32B Instruct measured |
| SWE-bench Verified | Not measured | 47.0% | Only Qwen2.5 Coder 32B Instruct measured |
| LiveBench coding | 65.5% | Not measured | Only Nemotron 3.5 Super VL measured |
| LiveCodeBench (Artificial Analysis run) | Not measured | 29.5% | Only Qwen2.5 Coder 32B Instruct measured |
| SciCode | 47.8% | Not measured | Only Nemotron 3.5 Super VL measured |
| LMArena Text: coding | Not measured | 1276 | Only Qwen2.5 Coder 32B Instruct measured |
| LMArena Text: software and IT | Not measured | 1261 | Only Qwen2.5 Coder 32B Instruct measured |
| Neither model has a result on the other 32 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Nemotron 3.5 Super VL | Qwen2.5 Coder 32B Instruct | Leader |
|---|---|---|---|
| AA Intelligence Index | 26.5 | 6.7 | Nemotron 3.5 Super VL |
| Epoch Capabilities Index | Not measured | 119.5 | Only Qwen2.5 Coder 32B Instruct measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
| Benchmark | Nemotron 3.5 Super VL | Qwen2.5 Coder 32B Instruct | Leader |
|---|---|---|---|
| LiveBench research | 70.9% | Not measured | Only Nemotron 3.5 Super VL measured |
| LiveBench browser | 4.0% | Not measured | Only Nemotron 3.5 Super VL measured |
| LiveBench long agentic | 15.8% | Not measured | Only Nemotron 3.5 Super VL measured |
| Neither model has a result on the other 38 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Nemotron 3.5 Super VL | Qwen2.5 Coder 32B Instruct | Leader |
|---|---|---|---|
| LiveBench reasoning | 78.8% | Not measured | Only Nemotron 3.5 Super VL measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 41.7% | Only Qwen2.5 Coder 32B Instruct measured |
| Humanity's Last Exam (Artificial Analysis run) | 30.7% | 3.5% | Nemotron 3.5 Super VL |
| LMArena Text: hard prompts | Not measured | 1251 | Only Qwen2.5 Coder 32B Instruct measured |
| LMArena Text: expert | Not measured | 1221 | Only Qwen2.5 Coder 32B Instruct measured |
| LMArena Text: hard prompts in English | Not measured | 1269 | Only Qwen2.5 Coder 32B Instruct measured |
| Neither model has a result on the other 16 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
| Benchmark | Nemotron 3.5 Super VL | Qwen2.5 Coder 32B Instruct | Leader |
|---|---|---|---|
| GSM8K | Not measured | 93.0% | Only Qwen2.5 Coder 32B Instruct measured |
| LMArena Text: math | Not measured | 1251 | Only Qwen2.5 Coder 32B Instruct measured |
| LMArena Text: mathematical work | Not measured | 1243 | Only Qwen2.5 Coder 32B Instruct measured |
| Neither model has a result on the other 10 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
| Benchmark | Nemotron 3.5 Super VL | Qwen2.5 Coder 32B Instruct | Leader |
|---|---|---|---|
| MMLU Pro (Artificial Analysis run) | Not measured | 63.5% | Only Qwen2.5 Coder 32B Instruct measured |
| MMLU | Not measured | 79.1% | Only Qwen2.5 Coder 32B Instruct measured |
| AI2 Reasoning Challenge | Not measured | 70.5% | Only Qwen2.5 Coder 32B Instruct measured |
| LMArena Text: science | Not measured | 1221 | Only Qwen2.5 Coder 32B Instruct measured |
| LMArena Text: medicine and healthcare | Not measured | 1187 | Only Qwen2.5 Coder 32B Instruct measured |
| LMArena Text: legal and government | Not measured | 1257 | Only Qwen2.5 Coder 32B Instruct measured |
| LMArena Text: business and finance | Not measured | 1224 | Only Qwen2.5 Coder 32B Instruct measured |
| Neither model has a result on the other 11 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | Nemotron 3.5 Super VL | Qwen2.5 Coder 32B Instruct | Leader |
|---|---|---|---|
| Design Arena: websites | 1172 | Not measured | Only Nemotron 3.5 Super VL measured |
| Design Arena: UI components | 1153 | Not measured | Only Nemotron 3.5 Super VL measured |
| Design Arena: game dev | 1110 | Not measured | Only Nemotron 3.5 Super VL measured |
| Design Arena: 3D | 1127 | Not measured | Only Nemotron 3.5 Super VL measured |
| Design Arena: all code categories | 1155 | Not measured | Only Nemotron 3.5 Super VL measured |
| LiveBench design | 60.7% | Not measured | Only Nemotron 3.5 Super VL measured |
| Neither model has a result on the other 3 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index15 boards, none shared
| Benchmark | Nemotron 3.5 Super VL | Qwen2.5 Coder 32B Instruct | Leader |
|---|---|---|---|
| LiveBench data analysis | 64.6% | Not measured | Only Nemotron 3.5 Super VL measured |
| Long context reasoning (AA-LCR) | 69.0% | Not measured | Only Nemotron 3.5 Super VL measured |
| HellaSwag | Not measured | 83.0% | Only Qwen2.5 Coder 32B Instruct measured |
| WinoGrande | Not measured | 80.8% | Only Qwen2.5 Coder 32B Instruct measured |
| LMArena Text | Not measured | 1230 | Only Qwen2.5 Coder 32B Instruct measured |
| LMArena Text: instruction following | Not measured | 1223 | Only Qwen2.5 Coder 32B Instruct measured |
| LMArena Text: creative writing | Not measured | 1174 | Only Qwen2.5 Coder 32B Instruct measured |
| LMArena Text: English | Not measured | 1248 | Only Qwen2.5 Coder 32B Instruct measured |
| LMArena Text: non-English | Not measured | 1205 | Only Qwen2.5 Coder 32B Instruct measured |
| LMArena Text: Chinese | Not measured | 1222 | Only Qwen2.5 Coder 32B Instruct measured |
| LMArena Text: Russian | Not measured | 1228 | Only Qwen2.5 Coder 32B Instruct measured |
| LMArena Text: multi-turn | Not measured | 1222 | Only Qwen2.5 Coder 32B Instruct measured |
| LMArena Text: longer queries | Not measured | 1251 | Only Qwen2.5 Coder 32B Instruct measured |
| LMArena Text: writing and language | Not measured | 1191 | Only Qwen2.5 Coder 32B Instruct measured |
| LMArena Text: entertainment and media | Not measured | 1150 | Only Qwen2.5 Coder 32B Instruct measured |
| Neither model has a result on the other 31 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Nemotron 3.5 Super VL | Qwen2.5 Coder 32B Instruct | 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 3.5 Super VL costs less
Repository review
50K input + 3K output tokens
Nemotron 3.5 Super VL costs less
Agent loop
200K input + 10K output tokens
Nemotron 3.5 Super VL 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 | NVIDIA Nemotron 3.5 Super VL | Qwen2.5 Coder 32B Instruct |
|---|---|---|
| Maker | NVIDIA | Qwen |
| Weights | Open weights | Open weights |
| Released | October 15, 2026 | November 11, 2024 |
| Context window | 1.05M | 33K |
| Input $/Mtok | $0.15 | $0.66 |
| Output $/Mtok | $0.50 | $1.00 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 1 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Nemotron 3.5 Super VL better than Qwen2.5 Coder 32B Instruct for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Nemotron 3.5 Super VL for output tokens 2.0x cheaper ($0.50 vs $1.00 per million) and a larger context window (1.05M against 33K tokens).
Which is cheaper, Nemotron 3.5 Super VL or Qwen2.5 Coder 32B Instruct?
Nemotron 3.5 Super VL costs $0.15 per million input tokens and $0.50 per million output tokens; Qwen2.5 Coder 32B Instruct costs $0.66 and $1.00. Cost per solved task is known for neither of them.
Which has the bigger context window, Nemotron 3.5 Super VL or Qwen2.5 Coder 32B Instruct?
Nemotron 3.5 Super VL, with 1.05M tokens against 33K.
How many benchmarks is the Nemotron 3.5 Super VL vs Qwen2.5 Coder 32B Instruct comparison based on?
2 benchmarks have a result for both models as of October 22, 2026. Nemotron 3.5 Super VL's coding index rests on 1 independent benchmark and Qwen2.5 Coder 32B Instruct's on 0. Where only one model has a result, the page says so instead of naming a winner.