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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.

โšก Executive Summary & Verdict

Comparison Snapshot

Llama 3.3 70B Instruct: 6 WinsvsNova Lite 1.0: 0 Wins
Context Leader

Nova Lite 1.0

300,000 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

Nova Lite 1.0

$0.06 / MTok
Metaactive

Llama 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...

View Llama 3.3 70B Instruct Full Specs โ†’
Amazonactive

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...

View Nova Lite 1.0 Full Specs โ†’

Technical Specifications

๐Ÿ† = Superior Spec
SpecificationLlama 3.3 70B InstructNova Lite 1.0
ProviderMetaAmazon
Context Window131,072 tokens300,000 tokens๐Ÿ†
Agent SuitabilityNot yet benchmarkedNot yet benchmarked
Time to First Token (TTFT)No public TTFT dataNo public TTFT data
Deployment Modelself hostablemanaged api
Production StabilityStable GA (est.)Stable GA (est.)
API AvailableYesYes
Released Date2024-12-062024-12-05

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

๐Ÿ’ก Cost Ratio: Nova Lite 1.0 is 2.2x cheaper per input token than Llama 3.3 70B Instruct.

Want to test both models live?

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 (0โ€“100%)

Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.

MMLUGeneral knowledge & multi-task understanding
87.0%vs74.6%+12.4% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct ๐Ÿ†
Nova Lite 1.0
HumanEvalPython coding & logic synthesis
86.2%vs70.8%+15.4% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct ๐Ÿ†
Nova Lite 1.0
MATHComplex mathematical problem solving
67.4%vs44.0%+23.4% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct ๐Ÿ†
Nova Lite 1.0
GPQAGraduate-level expert reasoning
48.8%vs31.4%+17.4% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct ๐Ÿ†
Nova Lite 1.0
HellaSwagCommonsense reasoning and inference
88.0%vs78.6%+9.4% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct ๐Ÿ†
Nova Lite 1.0
MT-BenchMulti-turn conversation flow quality
9.1%vs8.1%+0.9% Llama 3.3 70B Instruct
Llama 3.3 70B Instruct ๐Ÿ†
Nova Lite 1.0

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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