Nemotron 3 Super vs Qwen2.5 7B Instruct
Qwen2.5 7B Instruct costs 2.3x less per output token than Nemotron 3 Super ($0.20 vs $0.45 per million). Updated October 22, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.45
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.20
Nemotron 3 Super or Qwen2.5 7B Instruct: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Nemotron 3 Super for a larger context window (262K against 33K tokens).
No benchmark has tested both yet. Nemotron 3 Super has results on AA Coding Index, SciCode and Terminal-Bench Hard (Artificial Analysis run); Qwen2.5 7B Instruct on Epoch Capabilities Index, BALROG and GPQA Diamond (Epoch AI run). Compare them on price and context instead.
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
No call
Only Nemotron 3 Super has a AA Intelligence Index result, 12.8.
Directional only
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
Nemotron 3 Super
Nemotron 3 Super takes 262K tokens against 33K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen2.5 7B Instruct
Nemotron 3 Super $0.0003, Qwen2.5 7B Instruct $0.0002 per turn.
List prices
At a glance
- Coding index
- Nemotron 3 Super not benchmarked, Qwen2.5 7B Instruct not benchmarked.
- Widest category
- None yet: no category has been tested on both models.
- Widest single gap
- None yet: no benchmark has tested both models.
- Output price
- Nemotron 3 Super $0.45 against Qwen2.5 7B Instruct $0.20 per million output tokens, 2.3x apart.
- Context window
- Nemotron 3 Super takes 262K tokens, Qwen2.5 7B Instruct 33K.
Benchmark by benchmark
Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.
CodingDirectional onlySix of these boards feed the Vibe Coding Index7 boards measured
| Benchmark | Nemotron 3 Super | Qwen2.5 7B Instruct | Leader |
|---|---|---|---|
| AA Coding Index | 37.7 | Not measured | Only Nemotron 3 Super measured |
| SciCode | 36.2% | Not measured | Only Nemotron 3 Super measured |
| Terminal-Bench Hard (Artificial Analysis run) | 28.8% | Not measured | Only Nemotron 3 Super 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 36 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | Nemotron 3 Super | Qwen2.5 7B Instruct | Leader |
|---|---|---|---|
| AA Intelligence Index | 12.8 | Not measured | Only Nemotron 3 Super measured |
| Epoch Capabilities Index | Not measured | 118.5 | Only Qwen2.5 7B Instruct measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index3 boards measured
| Benchmark | Nemotron 3 Super | Qwen2.5 7B Instruct | Leader |
|---|---|---|---|
| AA Agentic Index | 1.7 | Not measured | Only Nemotron 3 Super measured |
| τ²-Bench Telecom | 67.8% | Not measured | Only Nemotron 3 Super measured |
| BALROG | Not measured | 7.8% | Only Qwen2.5 7B Instruct measured |
| Neither model has a result on the other 39 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index6 boards measured
| Benchmark | Nemotron 3 Super | Qwen2.5 7B Instruct | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 80.0% | Not measured | Only Nemotron 3 Super measured |
| Humanity's Last Exam (Artificial Analysis run) | 20.8% | Not measured | Only Nemotron 3 Super measured |
| GPQA Diamond (Epoch AI run) | Not measured | 35.5% | Only Qwen2.5 7B Instruct 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 | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index4 boards measured
| Benchmark | Nemotron 3 Super | Qwen2.5 7B Instruct | Leader |
|---|---|---|---|
| OTIS Mock AIME | Not measured | 2.5% | Only Qwen2.5 7B Instruct 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% | Not measured | Only Nemotron 3 Super measured |
| Neither model has a result on the other 10 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured
| Benchmark | Nemotron 3 Super | Qwen2.5 7B Instruct | Leader |
|---|---|---|---|
| MMLU | Not measured | 72.9% | Only Qwen2.5 7B Instruct measured |
| 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 15 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index19 boards measured
| Benchmark | Nemotron 3 Super | Qwen2.5 7B Instruct | Leader |
|---|---|---|---|
| IFBench | 71.5% | Not measured | Only Nemotron 3 Super measured |
| Long context reasoning (AA-LCR) | 65.7% | Not measured | Only Nemotron 3 Super measured |
| DTBench | Not measured | 47.7% | Only Qwen2.5 7B Instruct measured |
| LMCA | Not measured | 6.4% | Only Qwen2.5 7B Instruct 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 | |||
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
Qwen2.5 7B Instruct costs less
Repository review
50K input + 3K output tokens
Same cost
Agent loop
200K input + 10K output tokens
Nemotron 3 Super 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 Super | Qwen2.5 7B Instruct |
|---|---|---|
| Maker | NVIDIA | Qwen |
| Weights | Open weights | Open weights |
| Released | March 11, 2026 | October 16, 2024 |
| Context window | 262K | 33K |
| Input $/Mtok | $0.085 | $0.10 |
| Output $/Mtok | $0.45 | $0.20 |
| 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 Qwen2.5 7B Instruct for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Nemotron 3 Super for a larger context window (262K against 33K tokens).
Which is cheaper, Nemotron 3 Super or Qwen2.5 7B Instruct?
Nemotron 3 Super costs $0.085 per million input tokens and $0.45 per million output tokens; Qwen2.5 7B Instruct costs $0.10 and $0.20. Cost per solved task is known for neither of them.
Which has the bigger context window, Nemotron 3 Super or Qwen2.5 7B Instruct?
Nemotron 3 Super, with 262K tokens against 33K.
Has any benchmark tested both Nemotron 3 Super and Qwen2.5 7B Instruct?
No benchmark has tested both yet. Nemotron 3 Super has results on AA Coding Index, SciCode and Terminal-Bench Hard (Artificial Analysis run); Qwen2.5 7B Instruct on Epoch Capabilities Index, BALROG and GPQA Diamond (Epoch AI run). Compare them on price and context instead. Data as of October 22, 2026.