nvidia.nemotron-nano-9b-v2: benchmark scores, price and ranking
nvidia.nemotron-nano-9b-v2 from NVIDIA ranks #548 of 743 LLMs on the LLMs Tiger aggregate benchmark score (46.0), based on 1 benchmark results captured up to 2026-10-13.
- Organisation
- NVIDIA
- Type
- Fast / low-cost (flash) model
- Open weights
- No
- Released
- 2025-08-18 (source: epoch)
- Context window
- 128,000 tokens
- Cheapest API price
- $0.040 in / $0.160 out per million tokens (via deepinfra, observed 2026-10-13T21:47Z)
- Aggregate rank
- #548 of 743 (score 46.0)
Across the 1 benchmark where at least ten models are scored, nvidia.nemotron-nano-9b-v2 is in the top 10% on 0 and in the top half on 0.
Its cheapest listed input price, $0.040 per million tokens, is lower than that of 94% of the 427 models with a listed price.
nvidia.nemotron-nano-9b-v2 benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| Fiction.liveBench | 25.0% | #47 of 47 | Epoch AI Benchmarking Hub | 2026-10-13 |
About nvidia.nemotron-nano-9b-v2
nvidia.nemotron-nano-9b-v2 is a smaller, lower-cost model from NVIDIA. It was released on 2025-08-18, according to Epoch AI. It accepts up to 128,000 tokens of input at once. The cheapest API listing we track charges $0.040 per million input tokens and $0.160 per million output tokens, through deepinfra. We hold 1 benchmark result for it across 1 area, and none is in the top tenth of its board.
Where nvidia.nemotron-nano-9b-v2 stands
On our aggregate score, nvidia.nemotron-nano-9b-v2 is #548 of 743 ranked models, in the lower half. Its score is 46.0; the scale is centred on 50, so it sits 4.0 points below the typical model. That beats 26% of the ranked field. Among the 2 ranked NVIDIA models it is #2. The next one up is Llama-3.1-Nemotron-70B-Instruct-HF at 49.0.
nvidia.nemotron-nano-9b-v2, benchmark by benchmark
Fiction.liveBench is a weak spot. nvidia.nemotron-nano-9b-v2 scores 25.0%, #47 of 47, behind 98% of the models measured. The leader, grok-4-0709, reaches 94.4%. It covers long-context story comprehension (16k). The board median is 61.1%, so nvidia.nemotron-nano-9b-v2 is 36.1 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.
Price and value
The median input price across the 427 priced models is $0.500 per million tokens, so nvidia.nemotron-nano-9b-v2 costs less than the typical listing. Models that score within 1.5 points or better and cost less: Qwen2.5-Coder-7B-Instruct ($0.010, 49.5), DeepSeek V4.1 Flash (high) ($0.010, 48.9), Qwen2.5-Coder-3B-Instruct ($0.010, 46.5). Similar scores cost more on granite-4.1-8b ($0.050) and Mellum2-12B-A2.5B-Instruct ($0.050).
Reading these numbers
The 1 score on this page comes from 1 source: Epoch AI Benchmarking Hub (1). No official leaderboard supplied any of them, so treat them as third-party measurements. With 1 results the aggregate rank can move a lot when one new score arrives.
Models ranked nearby
- #545 Eurus-2-7B-PRIME (46.0)
- #546 DeepSeek-Coder-V2-Lite-Instruct (46.0)
- #547 o3-mini-2025-01-31 (low) (46.0)
- #549 Gemini 2.0 Flash Thinking Exp (45.9)
- #550 Mixtral-8x7B-v0.1 (45.9)
- #551 dbrx-instruct (45.9)
More from NVIDIA
- Llama-3.1-Nemotron-70B-Instruct-HF (#301, 49.0)
Compare it on the live leaderboard → · How the aggregate score works