Which model is better: Gemini 2.0 Flash or GPT-4o Mini?
Gemini 2.0 Flash is 33.3% cheaper for input tokens ($0.10 vs. $0.15 per 1M tokens) and $0.40 vs. $0.60 for output tokens (1.5x cost advantage). In terms of operational performance, GPT-4o Mini delivers lower response latency at 220ms TTFT (60ms faster than Gemini 2.0 Flash) with 140 vs. 185 tok/s throughput. Gemini 2.0 Flash leads coding evaluations at 51.8% SWE-bench Verified vs. 41.0% for GPT-4o Mini and 63.6% vs. 40.2% 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
GPT-4o Mini
Net Delta / Advantage
Input Cost / 1M Tokens
$0.10
$0.15
Gemini 2.0 Flash is 1.5x cheaper
Output Cost / 1M Tokens
$0.40
$0.60
Gemini 2.0 Flash (33.3% lower)
Prompt Cache Read / 1M
$0.025
$0.075
Gemini 2.0 Flash is 3.0x cheaper
Prompt Cache Write / 1M
$0.10
$0.15
Gemini 2.0 Flash is 1.5x cheaper
Context Window (Max Output)
1,073k (8k out)
131k (16k out)
Gemini 2.0 Flash (8.2x larger context)
Avg TTFT Response Latency
280ms
220ms
GPT-4o Mini (60ms faster)
Generation Speed (Throughput)
185 tok/s
140 tok/s
Gemini 2.0 Flash (+45 tok/s faster)
SWE-bench Verified (Coding)
51.8%
41%
Gemini 2.0 Flash (+10.8% lead)
GPQA Diamond (PhD STEM)
63.6%
40.2%
Gemini 2.0 Flash (+23.4% lead)
MMLU-Pro (Multi-Discipline)
78.2%
68%
Gemini 2.0 Flash (+10.2% lead)
MATH-500 (Quantitative Logic)
91.1%
70.2%
Gemini 2.0 Flash (+20.9% lead)
Inference Value Score (IVR)
77.7 / 100
67.2 / 100
Gemini 2.0 Flash (+10.5 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 GPT-4o Mini?
Gemini 2.0 Flash is cheaper at $0.10/1M input tokens ($0.40/1M output) compared to $0.15/1M input ($0.60/1M output) for GPT-4o Mini.
Which model has lower TTFT latency and higher tok/s throughput: Gemini 2.0 Flash or GPT-4o Mini?
GPT-4o Mini delivers faster first-token latency at 220ms TTFT (140 tok/s throughput) compared to 280ms TTFT (185 tok/s) for Gemini 2.0 Flash.
How do Gemini 2.0 Flash and GPT-4o Mini compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Gemini 2.0 Flash scores 51.8% versus 41% for GPT-4o Mini. On GPQA Diamond graduate-level STEM reasoning, Gemini 2.0 Flash scores 63.6% versus 40.2% for GPT-4o Mini (and 91.1% vs 70.2% 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 GPT-4o Mini?
Choose GPT-4o Mini (OpenAI) for high-volume classification, lightweight RAG chatbots, and structured JSON extraction — offering a 131k context window, 220ms TTFT, and $0.15/1M input pricing ($0.075/1M cached reads).
