Llama 3.3 70B Instruct vs Nova Lite 1.0
Detailed technical comparison between Llama 3.3 70B Instruct (Meta) and Nova Lite 1.0 (Amazon). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.
Comparison Snapshot
Nova Lite 1.0
300,000 tokensTie
Equal CapabilityTie
Equal SpeedNova Lite 1.0
$0.06 / MTokLlama 3.3 70B Instruct
The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model...
Nova Lite 1.0
Amazon Nova Lite 1.0 is a very low-cost multimodal model from Amazon that focused on fast processing of image, video, and text inputs to generate text output. Amazon Nova Lite...
Technical Specifications
๐ = Superior Spec| Specification | Llama 3.3 70B Instruct | Nova Lite 1.0 |
|---|---|---|
| Provider | Meta | Amazon |
| Context Window | 131,072 tokens | 300,000 tokens๐ |
| Agent Suitability | Not yet benchmarked | Not yet benchmarked |
| Time to First Token (TTFT) | No public TTFT data | No public TTFT data |
| Deployment Model | self hostable | managed api |
| Production Stability | Stable GA (est.) | Stable GA (est.) |
| API Available | Yes | Yes |
| Released Date | 2024-12-06 | 2024-12-05 |
API Pricing Comparison
Input Price per Million Tokens
Llama 3.3 70B Instruct
$0.13
Nova Lite 1.0
$0.06
Output Price per Million Tokens
Llama 3.3 70B Instruct
$0.40
Nova Lite 1.0
$0.24
๐ก Cost Ratio: Nova Lite 1.0 is 2.2x cheaper per input token than Llama 3.3 70B Instruct.
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Run side-by-side prompt benchmarks in our dynamic multi-model Sandbox. Compare execution speeds, latency metrics, and compute actual costs in real-time.
Benchmark Performance Metrics
Standardized Scores (0โ100%)Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.
Llama 3.3 70B Instruct Quirks & Gotchas
No developer gotchas reported.
Nova Lite 1.0 Quirks & Gotchas
No developer gotchas reported.
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