Which model is better: Gemini 3.8 Flash or Llama 4 Maverick?
Llama 4 Maverick is 20.0% cheaper for input tokens ($0.20 vs. $0.25 per 1M tokens) and $0.60 vs. $1.50 for output tokens (1.2x cost advantage). In terms of operational performance, Gemini 3.8 Flash delivers lower response latency at 105ms TTFT (30ms faster than Llama 4 Maverick) with 210 vs. 175 tok/s throughput. Gemini 3.8 Flash leads coding evaluations at 68.5% SWE-bench Verified vs. 62.4% for Llama 4 Maverick and 79.2% vs. 73.8% 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 4 Maverick
Net Delta / Advantage
Input Cost / 1M Tokens
$0.25
$0.20
Llama 4 Maverick is 1.3x cheaper
Output Cost / 1M Tokens
$1.50
$0.60
Llama 4 Maverick (60.0% lower)
Prompt Cache Read / 1M
$0.025
$0.050
Gemini 3.8 Flash is 2.0x cheaper
Prompt Cache Write / 1M
$0.25
$0.20
Llama 4 Maverick is 1.3x cheaper
Context Window (Max Output)
1,049k (66k out)
1,049k (33k out)
Equal Context Window
Avg TTFT Response Latency
105ms
135ms
Gemini 3.8 Flash (30ms faster)
Generation Speed (Throughput)
210 tok/s
175 tok/s
Gemini 3.8 Flash (+35 tok/s faster)
SWE-bench Verified (Coding)
68.5%
62.4%
Gemini 3.8 Flash (+6.1% lead)
GPQA Diamond (PhD STEM)
79.2%
73.8%
Gemini 3.8 Flash (+5.4% lead)
MMLU-Pro (Multi-Discipline)
87.4%
84.5%
Gemini 3.8 Flash (+2.9% lead)
MATH-500 (Quantitative Logic)
95.1%
91%
Gemini 3.8 Flash (+4.1% lead)
Inference Value Score (IVR)
74 / 100
77 / 100
Llama 4 Maverick (+3 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 4 Maverick?
Llama 4 Maverick is cheaper at $0.20/1M input tokens ($0.60/1M 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 4 Maverick?
Gemini 3.8 Flash delivers faster first-token latency at 105ms TTFT (210 tok/s throughput) compared to 135ms TTFT (175 tok/s) for Llama 4 Maverick.
How do Gemini 3.8 Flash and Llama 4 Maverick compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Gemini 3.8 Flash scores 68.5% versus 62.4% for Llama 4 Maverick. On GPQA Diamond graduate-level STEM reasoning, Gemini 3.8 Flash scores 79.2% versus 73.8% for Llama 4 Maverick (and 95.1% vs 91% 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 4 Maverick?
Choose Llama 4 Maverick (Meta) for high-throughput open-weight multimodal assistants, enterprise RAG, and low-cost cloud inference on Groq and Cerebras — offering a 1,048k context window, 135ms TTFT, and $0.20/1M input pricing ($0.050/1M cached reads).
