Which model is better: Gemini 2.0 Flash or OpenAI o3-mini?
Gemini 2.0 Flash is 90.9% cheaper for input tokens ($0.10 vs. $1.10 per 1M tokens) and $0.40 vs. $4.40 for output tokens (11.0x cost advantage). In terms of operational performance, Gemini 2.0 Flash delivers lower response latency at 280ms TTFT (670ms faster than OpenAI o3-mini) with 185 vs. 98 tok/s throughput. Gemini 2.0 Flash leads coding evaluations at 51.8% SWE-bench Verified vs. 49.3% for OpenAI o3-mini and 63.6% vs. 79.7% 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
OpenAI o3-mini
Net Delta / Advantage
Input Cost / 1M Tokens
$0.10
$1.10
Gemini 2.0 Flash is 11.0x cheaper
Output Cost / 1M Tokens
$0.40
$4.40
Gemini 2.0 Flash (90.9% lower)
Prompt Cache Read / 1M
$0.025
$0.550
Gemini 2.0 Flash is 22.0x cheaper
Prompt Cache Write / 1M
$0.10
$1.10
Gemini 2.0 Flash is 11.0x cheaper
Context Window (Max Output)
1,073k (8k out)
205k (100k out)
Gemini 2.0 Flash (5.2x larger context)
Avg TTFT Response Latency
280ms
950ms
Gemini 2.0 Flash (670ms faster)
Generation Speed (Throughput)
185 tok/s
98 tok/s
Gemini 2.0 Flash (+87 tok/s faster)
SWE-bench Verified (Coding)
51.8%
49.3%
Gemini 2.0 Flash (+2.5% lead)
GPQA Diamond (PhD STEM)
63.6%
79.7%
OpenAI o3-mini (+16.1% lead)
MMLU-Pro (Multi-Discipline)
78.2%
83.2%
OpenAI o3-mini (+5.0% lead)
MATH-500 (Quantitative Logic)
91.1%
97.9%
OpenAI o3-mini (+6.8% lead)
Inference Value Score (IVR)
77.7 / 100
59.7 / 100
Gemini 2.0 Flash (+18 pts)
Interactive Monthly Token Economics & ROI Forecaster
Model production workloads across prompt, completion, and cached context tokens, or switch models on the fly.
Choose OpenAI o3-mini (OpenAI) for competitive math reasoning, automated unit test generation, and structured logic pipelines — offering a 204k context window, 950ms TTFT, and $1.10/1M input pricing ($0.550/1M cached reads).
Which is cheaper: Gemini 2.0 Flash or OpenAI o3-mini?
Gemini 2.0 Flash is cheaper at $0.10/1M input tokens ($0.40/1M output) compared to $1.10/1M input ($4.40/1M output) for OpenAI o3-mini.
Which model has lower TTFT latency and higher tok/s throughput: Gemini 2.0 Flash or OpenAI o3-mini?
Gemini 2.0 Flash delivers faster first-token latency at 280ms TTFT (185 tok/s throughput) compared to 950ms TTFT (98 tok/s) for OpenAI o3-mini.
How do Gemini 2.0 Flash and OpenAI o3-mini compare on SWE-bench coding and GPQA Diamond reasoning?
On SWE-bench Verified software engineering, Gemini 2.0 Flash scores 51.8% versus 49.3% for OpenAI o3-mini. On GPQA Diamond graduate-level STEM reasoning, Gemini 2.0 Flash scores 63.6% versus 79.7% for OpenAI o3-mini (and 91.1% vs 97.9% 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 OpenAI o3-mini?
Choose OpenAI o3-mini (OpenAI) for competitive math reasoning, automated unit test generation, and structured logic pipelines — offering a 204k context window, 950ms TTFT, and $1.10/1M input pricing ($0.550/1M cached reads).
