Model comparison
Gemini 3.7 Flash vs Nemotron 3 Super
Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 40.1 on the Noometry Index. Nemotron 3 Super costs 8.7× less per token, which makes it the better buy when Gemini 3.7 Flash's lead doesn't matter for your workload.
Last verified . 19 shared benchmarks.
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NVIDIASummary
- They share 19 benchmarks with published results for both. Gemini 3.7 Flash scores higher in 8 categories and Nemotron 3 Super in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Gemini 3.7 Flash leads 70.0 to 18.7.
- The biggest single-benchmark swing is NYT Connections (extended): 94% for Gemini 3.7 Flash and 15.4% for Nemotron 3 Super.
- Nemotron 3 Super is cheaper at $0.08 / $0.45 per million input/output tokens, against $0.75 / $3.75 for Gemini 3.7 Flash.
- Gemini 3.7 Flash accepts more context: 1.05M tokens versus 262K.
- Nemotron 3 Super has downloadable open weights; the other is API-only.
Side by side
| Gemini 3.7 Flash | Nemotron 3 Super | |
|---|---|---|
| Provider | NVIDIA | |
| Noometry Index | 59.8 | 40.1 |
| Released | 2026-08-13 | 2026-03-11 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 66K | 131K |
| Input $ / M tokens | $0.75 | $0.08 |
| Output $ / M tokens | $3.75 | $0.45 |
| Results tracked | 44 | 21 |
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Category by category
Coding Gemini 3.7 Flash leads
Gemini 3.7 Flash: 56.2 (#22), Nemotron 3 Super: 39.4 (#158)
| Benchmark | Gemini 3.7 Flash | Nemotron 3 Super |
|---|---|---|
| SciCode | 59.8% | 36% |
| LMArena Coding | 1497 | 1403 |
| ALE-Bench | 904.3 | 213.9 |
| DeepSWE | 65.5% | — |
| FrontierCode | 43.6% | — |
| LMArena WebDev | 1592 | — |
| FrontierSWE | 20.3% | — |
| WeirdML | — | 38% |
Agentic & Tool Use Not comparable
Gemini 3.7 Flash: 42.1 (#19), Nemotron 3 Super: —
| Benchmark | Gemini 3.7 Flash | Nemotron 3 Super |
|---|---|---|
| APEX-Agents | 67.8% | — |
| Remote Labor Index | 5% | — |
| GDP.pdf | 23.8% | — |
Reasoning Gemini 3.7 Flash leads
Gemini 3.7 Flash: 70.0 (#15), Nemotron 3 Super: 18.7 (#276)
| Benchmark | Gemini 3.7 Flash | Nemotron 3 Super |
|---|---|---|
| NYT Connections (extended) | 94% | 15.4% |
| CritPt | 14.3% | 3.1% |
| LMArena Hard Prompts | 1494 | 1386 |
| ARC-AGI-2 | 84.6% | — |
| ARC-AGI-1 | 95.5% | — |
| Chess Puzzles | 47% | — |
| Mystery Game Puzzles | 37% | — |
| DTBench | 96.8% | — |
| LMCA | 50.4% | — |
| Epoch Capabilities Index | 157.27 | — |
Math Gemini 3.7 Flash leads
Gemini 3.7 Flash: 69.6 (#23), Nemotron 3 Super: 39.6 (#101)
| Benchmark | Gemini 3.7 Flash | Nemotron 3 Super |
|---|---|---|
| LMArena Math | 1507 | 1380 |
| FrontierMath (Tiers 1-3) | 71.6% | — |
| FrontierMath Tier 4 | 36.6% | — |
| MathArena Final-Answer Competitions | — | 60.4% |
| OTIS Mock AIME 2024-2025 | 97.2% | — |
| ProofBench | 58% | — |
Knowledge Gemini 3.7 Flash leads
Gemini 3.7 Flash: 69.7 (#5), Nemotron 3 Super: 38.9 (#139)
| Benchmark | Gemini 3.7 Flash | Nemotron 3 Super |
|---|---|---|
| LMArena Expert | 1508 | 1398 |
| GPQA Diamond | 94.8% | — |
| SimpleQA Verified | 69.2% | — |
Multimodal Not comparable
Gemini 3.7 Flash: 37.3 (#73), Nemotron 3 Super: —
| Benchmark | Gemini 3.7 Flash | Nemotron 3 Super |
|---|---|---|
| LMArena Vision | 1316 | — |
| Furniture Assembly | 26.7% | — |
Multilingual Gemini 3.7 Flash leads
Gemini 3.7 Flash: 57.6 (#7), Nemotron 3 Super: 48.4 (#144)
| Benchmark | Gemini 3.7 Flash | Nemotron 3 Super |
|---|---|---|
| LMArena Non-English | 1484 | 1355 |
| LMArena Chinese | 1548 | 1432 |
| LMArena French | 1505 | 1405 |
| LMArena German | 1498 | 1341 |
| LMArena Russian | 1516 | 1336 |
| LMArena Spanish | 1503 | 1417 |
| LMArena Japanese | 1512 | — |
| LMArena Korean | 1483 | — |
Instruction Following Gemini 3.7 Flash leads
Gemini 3.7 Flash: 77.7 (#15), Nemotron 3 Super: 71.2 (#154)
| Benchmark | Gemini 3.7 Flash | Nemotron 3 Super |
|---|---|---|
| LMArena Instruction Following | 1483 | 1347 |
Long Context Gemini 3.7 Flash leads
Gemini 3.7 Flash: 45.7 (#30), Nemotron 3 Super: 41.5 (#139)
| Benchmark | Gemini 3.7 Flash | Nemotron 3 Super |
|---|---|---|
| LMArena Longer Query | 1492 | 1362 |
Writing & Preference Gemini 3.7 Flash leads
Gemini 3.7 Flash: 71.2 (#20), Nemotron 3 Super: 55.9 (#140)
| Benchmark | Gemini 3.7 Flash | Nemotron 3 Super |
|---|---|---|
| LMArena Text | 1486 | 1378 |
| LMArena Creative Writing | 1490 | 1317 |
| LMArena Multi-Turn | 1489 | 1369 |
| EQ-Bench Creative Writing | 1723 | — |
Frequently asked questions
Is Gemini 3.7 Flash better than Nemotron 3 Super?
Gemini 3.7 Flash is the stronger model overall, scoring 59.8 to 40.1 on the Noometry Index. Nemotron 3 Super costs 8.7× less per token, which makes it the better buy when Gemini 3.7 Flash's lead doesn't matter for your workload.
Which is cheaper, Gemini 3.7 Flash or Nemotron 3 Super?
Nemotron 3 Super is cheaper. It lists at $0.08 per million input tokens and $0.45 per million output tokens; Gemini 3.7 Flash lists at $0.75 and $3.75.
Is Gemini 3.7 Flash or Nemotron 3 Super better for coding?
Gemini 3.7 Flash scores higher on coding benchmarks: 56.2 versus 39.4 in the Noometry coding category.
Which has the bigger context window?
Gemini 3.7 Flash does, with 1.05M tokens against 262K.
How many benchmarks do Gemini 3.7 Flash and Nemotron 3 Super share?
19 benchmarks have published results for both models. Gemini 3.7 Flash has 44 scored results on Noometry and Nemotron 3 Super has 21.