Which model is better: Gemini 3.8 Flash or Llama 3.3 70B Instruct?
Llama 3.3 70B Instruct is 52.0% cheaper for input tokens ($0.12 vs. $0.25 per 1M tokens) and $0.30 vs. $1.50 for output tokens (2.1x cost advantage). In terms of operational performance, Gemini 3.8 Flash delivers lower response latency at 105ms TTFT (40ms faster than Llama 3.3 70B Instruct) with 210 vs. 165 tok/s throughput. Gemini 3.8 Flash leads coding evaluations at 68.5% SWE-bench Verified vs. 42.5% for Llama 3.3 70B Instruct and 79.2% 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 3.8 Flash
Llama 3.3 70B Instruct
Net Delta / Advantage
Input Cost / 1M Tokens
$0.25
$0.12
Llama 3.3 70B Instruct is 2.1x cheaper
Output Cost / 1M Tokens
$1.50
$0.30
Llama 3.3 70B Instruct (80.0% lower)
Prompt Cache Read / 1M
$0.025
$0.030
Gemini 3.8 Flash is 1.2x cheaper
Prompt Cache Write / 1M
$0.25
$0.12
Llama 3.3 70B Instruct is 2.1x cheaper
Context Window (Max Output)
1,049k (66k out)
131k (33k out)
Gemini 3.8 Flash (8.0x larger context)
Avg TTFT Response Latency
105ms
145ms
Gemini 3.8 Flash (40ms faster)
Generation Speed (Throughput)
210 tok/s
165 tok/s
Gemini 3.8 Flash (+45 tok/s faster)
SWE-bench Verified (Coding)
68.5%
42.5%
Gemini 3.8 Flash (+26.0% lead)
GPQA Diamond (PhD STEM)
79.2%
55.6%
Gemini 3.8 Flash (+23.6% lead)
MMLU-Pro (Multi-Discipline)
87.4%
76.8%
Gemini 3.8 Flash (+10.6% lead)
MATH-500 (Quantitative Logic)
95.1%
77%
Gemini 3.8 Flash (+18.1% lead)
Inference Value Score (IVR)
74 / 100
74.6 / 100
Llama 3.3 70B Instruct (+0.6 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Choose Gemini 3.8 Flash (Google) for high-throughput agentic workflows, real-time multimodal RAG, live search grounding, and production code generation at flash unit economics — offering a 1,048k context window, 105ms TTFT, and $0.25/1M input pricing ($0.025/1M cached reads).
Which is cheaper: Gemini 3.8 Flash or Llama 3.3 70B Instruct?
Llama 3.3 70B Instruct is cheaper at $0.12/1M input tokens ($0.30/1M output) compared to $0.25/1M input ($1.50/1M output) for Gemini 3.8 Flash.
Which model has lower TTFT latency and higher tok/s throughput: Gemini 3.8 Flash or Llama 3.3 70B Instruct?
Gemini 3.8 Flash delivers faster first-token latency at 105ms TTFT (210 tok/s throughput) compared to 145ms TTFT (165 tok/s) for Llama 3.3 70B Instruct.
How do Gemini 3.8 Flash and Llama 3.3 70B Instruct compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Gemini 3.8 Flash scores 68.5% versus 42.5% for Llama 3.3 70B Instruct. On GPQA Diamond graduate-level STEM reasoning, Gemini 3.8 Flash scores 79.2% versus 55.6% for Llama 3.3 70B Instruct (and 95.1% vs 77% on MATH-500).
When should you choose Gemini 3.8 Flash?
Choose Gemini 3.8 Flash (Google) for high-throughput agentic workflows, real-time multimodal RAG, live search grounding, and production code generation at flash unit economics — offering a 1,048k context window, 105ms TTFT, and $0.25/1M input pricing ($0.025/1M 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).
