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Gemini 3.5 Flash Lite vs Llama 3.3 70B Instruct

Detailed technical comparison between Gemini 3.5 Flash Lite (Google) and Llama 3.3 70B Instruct (Meta). 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

Gemini 3.5 Flash Lite: 0 WinsvsLlama 3.3 70B Instruct: 6 Wins
Context Leader

Gemini 3.5 Flash Lite

1,048,576 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

Llama 3.3 70B Instruct

$0.13 / MTok
Googleactive

Gemini 3.5 Flash Lite

Gemini 3.5 Flash Lite is a high-efficiency model from Google with upgraded agentic capabilities. It is suited for subagents that execute focused tasks within complex, multi-agent workflows.

View Gemini 3.5 Flash Lite Full Specs โ†’
Metaactive

Llama 3.3 70B Instruct

Meta's state-of-the-art open weights model, providing enterprise-grade reasoning and logic. Exceptionally powerful for self-hosted customer support, text generation, and tooling workflows.

View Llama 3.3 70B Instruct Full Specs โ†’

Technical Specifications

๐Ÿ† = Superior Spec
SpecificationGemini 3.5 Flash LiteLlama 3.3 70B Instruct
ProviderGoogleMeta
Context Window1,048,576 tokens๐Ÿ†131,072 tokens
Agent SuitabilityNot yet benchmarked83/100 (est.)
Time to First Token (TTFT)No public TTFT data280 ms (est.)
Deployment Modelmanaged apiself hostable
Production StabilityBeta Access (est.)Stable GA (est.)
API AvailableYesYes
Released Date2026-07-212024-12-06

API Pricing Comparison

Input Price per Million Tokens

Gemini 3.5 Flash Lite

$0.30

Llama 3.3 70B Instruct

$0.13

Output Price per Million Tokens

Gemini 3.5 Flash Lite

$2.50

Llama 3.3 70B Instruct

$0.40

๐Ÿ’ก Cost Ratio: Llama 3.3 70B Instruct is 2.3x cheaper per input token than Gemini 3.5 Flash Lite.

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
73.2%vs86.2%+13.0% Llama 3.3 70B Instruct
Gemini 3.5 Flash Lite
Llama 3.3 70B Instruct ๐Ÿ†
HumanEvalPython coding & logic synthesis
69.4%vs88.0%+18.6% Llama 3.3 70B Instruct
Gemini 3.5 Flash Lite
Llama 3.3 70B Instruct ๐Ÿ†
MATHComplex mathematical problem solving
42.6%vs75.0%+32.4% Llama 3.3 70B Instruct
Gemini 3.5 Flash Lite
Llama 3.3 70B Instruct ๐Ÿ†
GPQAGraduate-level expert reasoning
30.0%vs52.0%+22.0% Llama 3.3 70B Instruct
Gemini 3.5 Flash Lite
Llama 3.3 70B Instruct ๐Ÿ†
HellaSwagCommonsense reasoning and inference
77.2%vs88.5%+11.3% Llama 3.3 70B Instruct
Gemini 3.5 Flash Lite
Llama 3.3 70B Instruct ๐Ÿ†
MT-BenchMulti-turn conversation flow quality
8.0%vs8.8%+0.8% Llama 3.3 70B Instruct
Gemini 3.5 Flash Lite
Llama 3.3 70B Instruct ๐Ÿ†

Gemini 3.5 Flash Lite Quirks & Gotchas

No developer gotchas reported.

Llama 3.3 70B Instruct Quirks & Gotchas

  • โ–ธStable, well-documented self-hosted option with strong community support
  • โ–ธOutperformed by Llama 4 Maverick for agentic tool-calling workflows

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