Model Comparison

Gemini 2.0 Flash vs o1-mini

Gemini 2.0 Flash significantly outperforms across most benchmarks. Gemini 2.0 Flash is 30.0x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Gemini 2.0 Flash outperforms in 1 benchmarks (GPQA), while o1-mini is better at 0 benchmarks.

Gemini 2.0 Flash significantly outperforms across most benchmarks.

Mon Apr 06 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemini 2.0 Flash costs less

For input processing, Gemini 2.0 Flash ($0.10/1M tokens) is 30.0x cheaper than o1-mini ($3.00/1M tokens).

For output processing, Gemini 2.0 Flash ($0.40/1M tokens) is 30.0x cheaper than o1-mini ($12.00/1M tokens).

In conclusion, o1-mini is more expensive than Gemini 2.0 Flash.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Mon Apr 06 2026 • llm-stats.com
Google
Gemini 2.0 Flash
Input tokens$0.10
Output tokens$0.40
Best providerGoogle
OpenAI
o1-mini
Input tokens$3.00
Output tokens$12.00
Best providerOpenAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 2.0 Flash accepts 1,048,576 input tokens compared to o1-mini's 128,000 tokens. o1-mini can generate longer responses up to 65,536 tokens, while Gemini 2.0 Flash is limited to 8,192 tokens.

Google
Gemini 2.0 Flash
Input1,048,576 tokens
Output8,192 tokens
OpenAI
o1-mini
Input128,000 tokens
Output65,536 tokens
Mon Apr 06 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 2.0 Flash supports multimodal inputs, whereas o1-mini does not.

Gemini 2.0 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 2.0 Flash

Text
Images
Audio
Video

o1-mini

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Gemini 2.0 Flash

Proprietary

Closed source

o1-mini

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 2.0 Flash was released on 2024-12-01, while o1-mini was released on 2024-09-12.

Gemini 2.0 Flash is 3 months newer than o1-mini.

Gemini 2.0 Flash

Dec 1, 2024

1.3 years ago

2mo newer
o1-mini

Sep 12, 2024

1.6 years ago

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash has a documented knowledge cutoff of 2024-08-01, while o1-mini's cutoff date is not specified.

We can confirm Gemini 2.0 Flash's training data extends to 2024-08-01, but cannot make a direct comparison without o1-mini's cutoff date.

Gemini 2.0 Flash

Aug 2024

o1-mini

—

Provider Availability

Gemini 2.0 Flash is available from Google. o1-mini is available from OpenAI, Azure.

Gemini 2.0 Flash

google logo
Google
Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M

o1-mini

openai logo
OpenAI
Input Price:Input: $3.00/1MOutput Price:Output: $12.00/1M
azure logo
Azure
Input Price:Input: $3.30/1MOutput Price:Output: $13.20/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Higher GPQA score (62.1% vs 60.0%)
OpenAI
GoogleGemini 2.0 Flash
OpenAIo1-mini
Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 2.0 Flash
OpenAI
o1-mini

FAQ

Common questions about Gemini 2.0 Flash vs o1-mini

Gemini 2.0 Flash significantly outperforms across most benchmarks. Gemini 2.0 Flash is made by Google and o1-mini is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Gemini 2.0 Flash scores Natural2Code: 92.9%, MATH: 89.7%, FACTS Grounding: 83.6%, MMLU-Pro: 76.4%, EgoSchema: 71.5%. o1-mini scores HumanEval: 92.4%, MATH-500: 90.0%, MMLU: 85.2%, SuperGLUE: 75.0%, GPQA: 60.0%.
Gemini 2.0 Flash is 30.0x cheaper for input tokens. Gemini 2.0 Flash costs $0.10/M input and $0.40/M output via google. o1-mini costs $3.00/M input and $12.00/M output via openai.
Gemini 2.0 Flash supports 1.0M tokens and o1-mini supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (1.0M vs 128K), input pricing ($0.10 vs $3.00/M), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.
Gemini 2.0 Flash is developed by Google and o1-mini is developed by OpenAI.