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NVIDIA vs Amazon

NVIDIA (11 models) vs Amazon (5 models) - compared across composite scores, pricing, capabilities, and context windows.

Models
11
Avg Score
40
Price Range
$0.200 - $3.60
per 1M output tokens
7 free11 open source1.0M max context
Models
5
Avg Score
44
Top Model
Score: 61
Price Range
$0.140 - $12.50
per 1M output tokens
1.0M max context

Capability Comparison

CapabilityNVIDIAAmazonLeader
Vision
3/114/5Amazon
Reasoning
11/111/5NVIDIA
Function Calling
10/115/5NVIDIA
JSON Mode
6/110/5NVIDIA
Web Search
0/110/5Tie
Streaming
11/115/5NVIDIA
Image Output
0/110/5Tie

Pricing Comparison

MetricNVIDIAAmazon
Cheapest Input (per 1M tokens)$0.050
Nemotron 3 Nano 30B A3B
$0.035
Nova Micro 1.0
Cheapest Output (per 1M tokens)$0.200$0.140
Most Expensive Input (per 1M tokens)$0.600
Nemotron 3 Ultra
$2.50
Nova Premier 1.0
Most Expensive Output (per 1M tokens)$3.60$12.50
Free Models70
Max Context Window1.0M1.0M

All NVIDIA Models (11)

ModelScoreInput $/MOutput $/M
Nemotron 3.5 Content Safety (free)40FreeFree
Nemotron 3 Ultra40$0.600$3.60
Nemotron 3 Ultra (batch)40$0.300$1.80
Nemotron 3 Ultra (free)40FreeFree
Nemotron 3 Nano Omni (free)40FreeFree
Nemotron 3 Super40$0.085$0.400
Nemotron 3 Super (free)40FreeFree
Nemotron 3 Nano 30B A3B40$0.050$0.200
Nemotron 3 Nano 30B A3B (free)40FreeFree
Nemotron Nano 12B 2 VL (free)40FreeFree
Nemotron Nano 9B V2 (free)40FreeFree

All Amazon Models (5)

ModelScoreInput $/MOutput $/M
Nova 2 Lite61$0.300$2.50
Nova Premier 1.040$2.50$12.50
Nova Lite 1.040$0.060$0.240
Nova Micro 1.040$0.035$0.140
Nova Pro 1.040$0.800$3.20
Frequently Asked Questions

NVIDIA prioritizes open-source accessibility with 100% of models open and 4 free options, accepting lower average performance for broader ecosystem adoption. Amazon's concentrated approach delivers higher quality per model (Nova 2 Lite hits 54/100 vs NVIDIA's best Nemotron at 45/100) but requires payment for all access, reflecting AWS's enterprise-first strategy.

Amazon's 4 out of 5 models supporting vision makes them the clear choice for multimodal applications, while NVIDIA's vision coverage at just 2 of 11 models limits their utility for image analysis pipelines. This gap is particularly striking given NVIDIA's GPU heritage, suggesting their LLM strategy prioritizes reasoning capabilities (91% coverage) over visual processing.

Amazon's 1M token context on Nova models enables processing entire codebases or lengthy documents that would require chunking on NVIDIA's best 262K limit. This 4x advantage costs significantly more at $12.50/M output tokens for Amazon's highest tier versus NVIDIA's $1.80/M max, making NVIDIA more suitable for typical sub-100K token workloads at 86% lower maximum pricing.

NVIDIA's 4 free models and complete open-source availability enable local deployment, fine-tuning, and avoiding vendor lock-in despite the 12% higher entry price. Amazon's proprietary stack with 100% function calling support targets production workloads where the 9-point quality advantage (54 vs 45 top scores) justifies API dependence.

NVIDIA equips 10 of 11 models with reasoning capabilities, positioning for complex analytical tasks and research applications where open-source flexibility matters more than raw performance. Amazon's single reasoning-capable model out of 5 suggests optimization for standard business queries, supported by their universal function calling coverage for application integration.

NVIDIA vs Amazon - AI Provider Comparison (2026) | LM Market Cap