Nemotron 3 Super vs Sakana Namazu
Nemotron 3 Super costs 8.9x less per output token than Sakana Namazu ($0.45 vs $4.00 per million). Updated October 23, 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
- $4.00
Nemotron 3 Super or Sakana Namazu: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Nemotron 3 Super for output tokens 8.9x cheaper ($0.45 vs $4.00 per million).
No benchmark has tested both yet. Nemotron 3 Super has results on AA Coding Index, SciCode and Terminal-Bench Hard (Artificial Analysis run); Sakana Namazu has none yet. 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
No call
Both take 262K tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Nemotron 3 Super
Nemotron 3 Super $0.0003, Sakana Namazu $0.0029 per turn.
List prices
At a glance
- Coding index
- Nemotron 3 Super not benchmarked, Sakana Namazu 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 Sakana Namazu $4.00 per million output tokens, 8.9x apart.
- Context window
- Both take 262K tokens.
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 | Sakana Namazu | 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 | 1404 | 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 index1 board measured
| Benchmark | Nemotron 3 Super | Sakana Namazu | Leader |
|---|---|---|---|
| AA Intelligence Index | 12.8 | Not measured | Only Nemotron 3 Super measured |
| Neither model has a result on the other 1 board here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | Nemotron 3 Super | Sakana Namazu | 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 |
| Neither model has a result on the other 40 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured
| Benchmark | Nemotron 3 Super | Sakana Namazu | 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 |
| 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 18 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index3 boards measured
| Benchmark | Nemotron 3 Super | Sakana Namazu | Leader |
|---|---|---|---|
| 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 11 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index4 boards measured
| Benchmark | Nemotron 3 Super | Sakana Namazu | Leader |
|---|---|---|---|
| LMArena Text: science | 1388 | 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 | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index17 boards measured
| Benchmark | Nemotron 3 Super | Sakana Namazu | 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 |
| 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 | 1432 | 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 | 1331 | 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 31 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 Super costs less
Repository review
50K input + 3K output tokens
Nemotron 3 Super costs less
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 | Sakana Namazu |
|---|---|---|
| Maker | NVIDIA | Sakana |
| Weights | Open weights | No public weights listed |
| Released | March 11, 2026 | August 11, 2026 |
| Context window | 262K | 262K |
| Input $/Mtok | $0.085 | $0.95 |
| Output $/Mtok | $0.45 | $4.00 |
| 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 Sakana Namazu for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Nemotron 3 Super for output tokens 8.9x cheaper ($0.45 vs $4.00 per million).
Which is cheaper, Nemotron 3 Super or Sakana Namazu?
Nemotron 3 Super costs $0.085 per million input tokens and $0.45 per million output tokens; Sakana Namazu costs $0.95 and $4.00. Cost per solved task is known for neither of them.
Which has the bigger context window, Nemotron 3 Super or Sakana Namazu?
Neither: both take 262K tokens.
Has any benchmark tested both Nemotron 3 Super and Sakana Namazu?
No benchmark has tested both yet. Nemotron 3 Super has results on AA Coding Index, SciCode and Terminal-Bench Hard (Artificial Analysis run); Sakana Namazu has none yet. Compare them on price and context instead. Data as of October 23, 2026.