Which model is better: Gemini 2.0 Flash or Llama 4 Maverick?
Gemini 2.0 Flash is 50.0% cheaper for input tokens ($0.10 vs. $0.20 per 1M tokens) and $0.40 vs. $0.60 for output tokens (2.0x cost advantage). In terms of operational performance, Llama 4 Maverick delivers lower response latency at 135ms TTFT (145ms faster than Gemini 2.0 Flash) with 175 vs. 185 tok/s throughput. Llama 4 Maverick leads coding evaluations at 62.4% SWE-bench Verified vs. 51.8% for Gemini 2.0 Flash and 73.8% vs. 63.6% 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 2.0 Flash
Llama 4 Maverick
Net Delta / Advantage
Input Cost / 1M Tokens
$0.10
$0.20
Gemini 2.0 Flash is 2.0x cheaper
Output Cost / 1M Tokens
$0.40
$0.60
Gemini 2.0 Flash (33.3% lower)
Prompt Cache Read / 1M
$0.025
$0.050
Gemini 2.0 Flash is 2.0x cheaper
Prompt Cache Write / 1M
$0.10
$0.20
Gemini 2.0 Flash is 2.0x cheaper
Context Window (Max Output)
1,073k (8k out)
1,049k (33k out)
Gemini 2.0 Flash (1.0x larger context)
Avg TTFT Response Latency
280ms
135ms
Llama 4 Maverick (145ms faster)
Generation Speed (Throughput)
185 tok/s
175 tok/s
Gemini 2.0 Flash (+10 tok/s faster)
SWE-bench Verified (Coding)
51.8%
62.4%
Llama 4 Maverick (+10.6% lead)
GPQA Diamond (PhD STEM)
63.6%
73.8%
Llama 4 Maverick (+10.2% lead)
MMLU-Pro (Multi-Discipline)
78.2%
84.5%
Llama 4 Maverick (+6.3% lead)
MATH-500 (Quantitative Logic)
91.1%
91%
Gemini 2.0 Flash (+0.1% lead)
Inference Value Score (IVR)
77.7 / 100
77 / 100
Gemini 2.0 Flash (+0.7 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Which is cheaper: Gemini 2.0 Flash or Llama 4 Maverick?
Gemini 2.0 Flash is cheaper at $0.10/1M input tokens ($0.40/1M output) compared to $0.20/1M input ($0.60/1M output) for Llama 4 Maverick.
Which model has lower TTFT latency and higher tok/s throughput: Gemini 2.0 Flash or Llama 4 Maverick?
Llama 4 Maverick delivers faster first-token latency at 135ms TTFT (175 tok/s throughput) compared to 280ms TTFT (185 tok/s) for Gemini 2.0 Flash.
How do Gemini 2.0 Flash and Llama 4 Maverick compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Gemini 2.0 Flash scores 51.8% versus 62.4% for Llama 4 Maverick. On GPQA Diamond graduate-level STEM reasoning, Gemini 2.0 Flash scores 63.6% versus 73.8% for Llama 4 Maverick (and 91.1% vs 91% on MATH-500).
When should you choose Gemini 2.0 Flash?
Choose Gemini 2.0 Flash (Google DeepMind) for legacy high-throughput multimodal pipelines migrating to Gemini 3.8 Flash — offering a 1,073k context window, 280ms TTFT, and $0.10/1M 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).
