NVIDIA Nemotron Nano 12B v2 VL (Reasoning) API Provider Benchmarking & Analysis
This analysis is intended to support you in choosing the best API provider of NVIDIA Nemotron Nano 12B v2 VL (Reasoning) for your use-case.
Fastest
DeepInfra (FP8)Output speed
Total 1 provider
Lowest Latency
DeepInfra (FP8)Time to first answer token
Total 1 provider
Lowest Price
DeepInfra (FP8)Blended price (per 1M tokens)
Total 1 provider
NVIDIA Nemotron Nano 12B v2 VL is available through DeepInfra (FP8).
Highlights
Update: Default performance benchmarking workload has updated to 10k input tokens to better reflect production use cases. You can still select different workloads above.
Pricing
Pricing: Cache Hit, Input, and Output
Pricing: Blended Price
Output Speed vs. Price
Speed
Measured by Output Speed (tokens per second)
Output Speed: NVIDIA Nemotron Nano 12B v2 VL (Reasoning)
Latency vs. Output Speed
Latency
Measured by Time (seconds) to First Token
Time to First Answer Token
End-to-End Response Time
Seconds to output 500 tokens, calculated based on time to first token, 'thinking' time for reasoning models, and output speed
End-to-End Response Time
Key Comparison Metrics & API Features
Frequently Asked Questions
Common questions about NVIDIA Nemotron Nano 12B v2 VL (Reasoning) providers
NVIDIA Nemotron Nano 12B v2 VL (Reasoning) is available through 1 API provider: DeepInfra (FP8). Each provider offers different performance characteristics and pricing.
NVIDIA Nemotron Nano 12B v2 VL (Reasoning) is currently available through 1 API provider that we benchmark and track.
The fastest provider for NVIDIA Nemotron Nano 12B v2 VL (Reasoning) by output speed is DeepInfra (FP8) (92.2 t/s). Output speed measures how quickly tokens are generated after the model starts responding.
The provider with the lowest time to first answer token for NVIDIA Nemotron Nano 12B v2 VL (Reasoning) is DeepInfra (FP8) (26.02s). Lower latency means faster initial response time.
The most affordable provider for NVIDIA Nemotron Nano 12B v2 VL (Reasoning) by blended price is DeepInfra (FP8) ($0.24 per 1M tokens). Blended price uses a 7:2:1 cache hit/input/output token ratio.
The provider with the lowest input token pricing for NVIDIA Nemotron Nano 12B v2 VL (Reasoning) is DeepInfra (FP8) ($0.20 per 1M input tokens).
The provider with the lowest output token pricing for NVIDIA Nemotron Nano 12B v2 VL (Reasoning) is DeepInfra (FP8) ($0.60 per 1M output tokens).
The only provider of NVIDIA Nemotron Nano 12B v2 VL (Reasoning) supports JSON mode for structured output.
The only provider of NVIDIA Nemotron Nano 12B v2 VL (Reasoning) supports function calling (tool use).
DeepInfra (FP8) leads across all key metrics for NVIDIA Nemotron Nano 12B v2 VL (Reasoning), offering the fastest speed, lowest latency, and most competitive pricing.
When choosing a provider for NVIDIA Nemotron Nano 12B v2 VL (Reasoning), consider: output speed (for throughput-intensive tasks), latency (for interactive applications requiring quick first responses), pricing (for cost-sensitive workloads), and API features like JSON mode or function calling.
Yes, provider performance can vary over time due to infrastructure changes, load balancing, and updates. We continuously benchmark all providers and display historical performance trends in the "Over Time" charts.
For information about NVIDIA Nemotron Nano 12B v2 VL (Reasoning)'s intelligence, capabilities, modalities, and how it compares to other models, see the model overview page. View model overview