💰 Unit Cost Winner Gemini 3.5 Flash-Lite
$0.075/1M in · $0.30/1M out
⚡ Latency & Speed Winner Gemini 3.5 Flash-Lite 78ms TTFT · 265 tok/s
💻 Coding (SWE) Winner Gemini 3.5 Flash-Lite 55.4% SWE-bench · 91% HumanEval
🧠 STEM Reasoning Winner Gemini 3.5 Flash-Lite 68.4% GPQA · 90.2% MATH-500
Which model is better: Gemini 3.5 Flash-Lite or Llama 3.3 70B Instruct? Gemini 3.5 Flash-Lite is 37.5% cheaper for input tokens ($0.07 vs. $0.12 per 1M tokens) and $0.30 vs. $0.30 for output tokens (1.6x cost advantage). In terms of operational performance, Gemini 3.5 Flash-Lite delivers lower response latency at 78ms TTFT (67ms faster than Llama 3.3 70B Instruct) with 265 vs. 165 tok/s throughput. Gemini 3.5 Flash-Lite leads coding evaluations at 55.4% SWE-bench Verified vs. 42.5% for Llama 3.3 70B Instruct and 68.4% vs. 55.6% on GPQA Diamond.
Verified daily via automated API latency tests and official documentation.
Zero-Shot RAG Verified Verified Performance & Unit Economics Delta (12 Dimensions)
Daily synchronized metrics across token pricing, prompt cache economics, latency, throughput, and 5 capability benchmarks.
Metric / Dimension Gemini 3.5 Flash-Lite Llama 3.3 70B Instruct Net Delta / Advantage
Input Cost / 1M Tokens
$0.07
$0.12 Gemini 3.5 Flash-Lite is 1.6x cheaper
Output Cost / 1M Tokens
$0.30
$0.30 Identical Output Pricing
Prompt Cache Read / 1M
$0.015
$0.030 Gemini 3.5 Flash-Lite is 2.0x cheaper
Prompt Cache Write / 1M
$0.07
$0.12 Gemini 3.5 Flash-Lite is 1.6x cheaper
Context Window (Max Output)
1,049k (33k out) 131k (33k out) Gemini 3.5 Flash-Lite (8.0x larger context)
Avg TTFT Response Latency
78ms
145ms
Gemini 3.5 Flash-Lite (67ms faster)
Generation Speed (Throughput)
265 tok/s
165 tok/s
Gemini 3.5 Flash-Lite (+100 tok/s faster)
SWE-bench Verified (Coding)
55.4% 42.5% Gemini 3.5 Flash-Lite (+12.9% lead)
GPQA Diamond (PhD STEM)
68.4% 55.6% Gemini 3.5 Flash-Lite (+12.8% lead)
MMLU-Pro (Multi-Discipline)
80.1% 76.8% Gemini 3.5 Flash-Lite (+3.3% lead)
MATH-500 (Quantitative Logic)
90.2% 77% Gemini 3.5 Flash-Lite (+13.2% lead) Inference Value Score (IVR) 81.5 / 100 74.6 / 100 Gemini 3.5 Flash-Lite (+6.9 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Coding Agent
Enterprise RAG
High-Scale API
Model A (Baseline)
Qwen 3.8 Flash Next ($0.16/1M in · $0.47/1M out)
DeepSeek V4 Flash Vision (Exp) ($0.22/1M in · $0.65/1M out)
Gemini 3.5 Flash-Lite ($0.07/1M in · $0.30/1M out)
Gemma 4 31B IT ($0.12/1M in · $0.36/1M out)
Gemini 2.0 Flash ($0.10/1M in · $0.40/1M out)
Llama 4 Maverick ($0.20/1M in · $0.60/1M out)
GLM-5.3-Flash ($0.12/1M in · $0.40/1M out)
DeepSeek V3 ($0.14/1M in · $0.28/1M out)
Qwen 3.8 27B ($0.20/1M in · $0.60/1M out)
Llama 3.3 70B Instruct ($0.12/1M in · $0.30/1M out)
Gemini 3.8 Flash ($0.25/1M in · $1.50/1M out)
GLM-5.3 ($0.35/1M in · $1.00/1M out)
Grok 3 Mini ($0.30/1M in · $1.20/1M out)
GPT-4o Mini ($0.15/1M in · $0.60/1M out)
DeepSeek V4 Pro ($1.32/1M in · $3.96/1M out)
Gemini 2.5 Flash ($0.30/1M in · $2.50/1M out)
DeepSeek R1 ($0.55/1M in · $2.19/1M out)
OpenAI o4-mini ($1.10/1M in · $4.40/1M out)
GPT-6.1 Sol ($2.00/1M in · $10.00/1M out)
Gemini 4 Argon ($2.00/1M in · $10.00/1M out)
OpenAI o3 ($2.00/1M in · $8.00/1M out)
Gemini 3.1 Pro ($1.25/1M in · $10.00/1M out)
OpenAI o3-mini ($1.10/1M in · $4.40/1M out)
GPT-5 ($2.50/1M in · $10.00/1M out)
Claude Opus 5.5 ($4.00/1M in · $20.00/1M out)
Grok 4 ($2.50/1M in · $12.50/1M out)
Gemini 2.5 Pro ($1.25/1M in · $10.00/1M out)
Claude 4.5 Sonnet ($3.00/1M in · $15.00/1M out)
Claude 3.7 Sonnet ($3.00/1M in · $15.00/1M out)
Grok 3 ($3.00/1M in · $15.00/1M out)
Claude 3.5 Haiku ($0.80/1M in · $4.00/1M out)
Mistral Large 2 (2411) ($2.00/1M in · $6.00/1M out)
GPT-4o ($2.50/1M in · $10.00/1M out)
GPT-6 Astra ($10.00/1M in · $50.00/1M out)
Claude 3.5 Sonnet ($3.00/1M in · $15.00/1M out)
Claude 4 Opus ($15.00/1M in · $75.00/1M out)
o1 ($15.00/1M in · $60.00/1M out)
Model B (Challenger)
Qwen 3.8 Flash Next ($0.16/1M in · $0.47/1M out)
DeepSeek V4 Flash Vision (Exp) ($0.22/1M in · $0.65/1M out)
Gemini 3.5 Flash-Lite ($0.07/1M in · $0.30/1M out)
Gemma 4 31B IT ($0.12/1M in · $0.36/1M out)
Gemini 2.0 Flash ($0.10/1M in · $0.40/1M out)
Llama 4 Maverick ($0.20/1M in · $0.60/1M out)
GLM-5.3-Flash ($0.12/1M in · $0.40/1M out)
DeepSeek V3 ($0.14/1M in · $0.28/1M out)
Qwen 3.8 27B ($0.20/1M in · $0.60/1M out)
Llama 3.3 70B Instruct ($0.12/1M in · $0.30/1M out)
Gemini 3.8 Flash ($0.25/1M in · $1.50/1M out)
GLM-5.3 ($0.35/1M in · $1.00/1M out)
Grok 3 Mini ($0.30/1M in · $1.20/1M out)
GPT-4o Mini ($0.15/1M in · $0.60/1M out)
DeepSeek V4 Pro ($1.32/1M in · $3.96/1M out)
Gemini 2.5 Flash ($0.30/1M in · $2.50/1M out)
DeepSeek R1 ($0.55/1M in · $2.19/1M out)
OpenAI o4-mini ($1.10/1M in · $4.40/1M out)
GPT-6.1 Sol ($2.00/1M in · $10.00/1M out)
Gemini 4 Argon ($2.00/1M in · $10.00/1M out)
OpenAI o3 ($2.00/1M in · $8.00/1M out)
Gemini 3.1 Pro ($1.25/1M in · $10.00/1M out)
OpenAI o3-mini ($1.10/1M in · $4.40/1M out)
GPT-5 ($2.50/1M in · $10.00/1M out)
Claude Opus 5.5 ($4.00/1M in · $20.00/1M out)
Grok 4 ($2.50/1M in · $12.50/1M out)
Gemini 2.5 Pro ($1.25/1M in · $10.00/1M out)
Claude 4.5 Sonnet ($3.00/1M in · $15.00/1M out)
Claude 3.7 Sonnet ($3.00/1M in · $15.00/1M out)
Grok 3 ($3.00/1M in · $15.00/1M out)
Claude 3.5 Haiku ($0.80/1M in · $4.00/1M out)
Mistral Large 2 (2411) ($2.00/1M in · $6.00/1M out)
GPT-4o ($2.50/1M in · $10.00/1M out)
GPT-6 Astra ($10.00/1M in · $50.00/1M out)
Claude 3.5 Sonnet ($3.00/1M in · $15.00/1M out)
Claude 4 Opus ($15.00/1M in · $75.00/1M out)
o1 ($15.00/1M in · $60.00/1M out)
Estimated Monthly Spend Gemini 3.5 Flash-Lite $2.63
$0.07/1M in · $0.30/1M out
Prompt Cache: $0.015/1M read · $0.07/1M write
Llama 3.3 70B Instruct $3.38
$0.12/1M in · $0.30/1M out
Prompt Cache: $0.030/1M read · $0.12/1M write
A
When to Choose Gemini 3.5 Flash-Lite Choose Gemini 3.5 Flash-Lite (Google) for high-frequency data pipelines, real-time routing, large-scale document tagging, and ultra-low-cost conversational assistants — offering a 1,048k context window, 78ms TTFT, and $0.07/1M input pricing ($0.015/1M cached reads).
B
When to Choose Llama 3.3 70B Instruct Choose Llama 3.3 70B Instruct (Meta) for cost-optimized on-premise deployments, fast text transformation, structured entity extraction, and enterprise dialogue pipelines — offering a 131k context window, 145ms TTFT, and $0.12/1M input pricing ($0.030/1M cached reads).
Related Questions & Decision Factors Which is cheaper: Gemini 3.5 Flash-Lite or Llama 3.3 70B Instruct? Gemini 3.5 Flash-Lite is cheaper at $0.075/1M input tokens ($0.30/1M output) compared to $0.12/1M input ($0.30/1M output) for Llama 3.3 70B Instruct.
Which model has lower TTFT latency and higher tok/s throughput: Gemini 3.5 Flash-Lite or Llama 3.3 70B Instruct? Gemini 3.5 Flash-Lite delivers faster first-token latency at 78ms TTFT (265 tok/s throughput) compared to 145ms TTFT (165 tok/s) for Llama 3.3 70B Instruct.
How do Gemini 3.5 Flash-Lite and Llama 3.3 70B Instruct compare on SWE-bench coding and GPQA Diamond reasoning? On SWE-bench Verified software engineering, Gemini 3.5 Flash-Lite scores 55.4% versus 42.5% for Llama 3.3 70B Instruct. On GPQA Diamond graduate-level STEM reasoning, Gemini 3.5 Flash-Lite scores 68.4% versus 55.6% for Llama 3.3 70B Instruct (and 90.2% vs 77% on MATH-500).
When should you choose Gemini 3.5 Flash-Lite? Choose Gemini 3.5 Flash-Lite (Google) for high-frequency data pipelines, real-time routing, large-scale document tagging, and ultra-low-cost conversational assistants — offering a 1,048k context window, 78ms TTFT, and $0.07/1M input pricing ($0.015/1M cached reads).
When should you choose Llama 3.3 70B Instruct? Choose Llama 3.3 70B Instruct (Meta) for cost-optimized on-premise deployments, fast text transformation, structured entity extraction, and enterprise dialogue pipelines — offering a 131k context window, 145ms TTFT, and $0.12/1M input pricing ($0.030/1M cached reads).
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