Model Comparison

Gemini 2.0 Flash vs o1Which is better in 2026?

o1 significantly outperforms across most benchmarks. Gemini 2.0 Flash is 150.0x cheaper per token.

Verdict: Gemini 2.0 Flash vs o1 — which is better?

Gemini 2.0 Flash (by Google) and o1 (by OpenAI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Gemini 2.0 Flash outperforms in 0 benchmarks, while o1 is better at 3 benchmarks (GPQA, MATH, MMMU). o1 significantly outperforms across most benchmarks.

On price, Gemini 2.0 Flash is roughly 150.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 2.0 Flash also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Choose Gemini 2.0 Flash if…

  • cost matters — it's about 150.0x cheaper per token
  • you process long inputs — it offers a 1,048,576 token context window

Choose o1 if…

  • you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
  • you want the most recent training data — it shipped Dec 2024
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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemini 2.0 Flash outperforms in 0 benchmarks, while o1 is better at 3 benchmarks (GPQA, MATH, MMMU).

o1 significantly outperforms across most benchmarks.

Tue Jun 16 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 150.0x cheaper than o1 ($15.00/1M tokens).

For output processing, Gemini 2.0 Flash ($0.40/1M tokens) is 150.0x cheaper than o1 ($60.00/1M tokens).

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

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

Lowest available price from all providers
Tue Jun 16 2026 • llm-stats.com
Google
Gemini 2.0 Flash
Input tokens$0.10
Output tokens$0.40
Best providerGoogle
OpenAI
o1
Input tokens$15.00
Output tokens$60.00
Best providerAzure
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's 200,000 tokens. o1 can generate longer responses up to 100,000 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
Input200,000 tokens
Output100,000 tokens
Tue Jun 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 2.0 Flash supports multimodal inputs, whereas o1 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

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

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 2.0 Flash was released on 2024-12-01, while o1 was released on 2024-12-17.

o1 is 1 month newer than Gemini 2.0 Flash.

Gemini 2.0 Flash

Dec 1, 2024

1.5 years ago

o1

Dec 17, 2024

1.5 years ago

2w newer

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash has a documented knowledge cutoff of 2024-08-01, while o1'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's cutoff date.

Gemini 2.0 Flash

Aug 2024

o1

—

Provider Availability

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

Gemini 2.0 Flash

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

o1

azure logo
Azure
Input Price:Input: $15.00/1MOutput Price:Output: $60.00/1M
openai logo
OpenAI
Input Price:Input: $15.00/1MOutput Price:Output: $60.00/1M
* 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
OpenAI
Higher GPQA score (78.0% vs 62.1%)
Higher MATH score (96.4% vs 89.7%)
Higher MMMU score (77.6% vs 70.7%)
GoogleGemini 2.0 Flash
OpenAIo1
Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 2.0 Flash
OpenAI
o1

FAQ

Common questions about Gemini 2.0 Flash vs o1.

Which is better, Gemini 2.0 Flash or o1?

o1 significantly outperforms across most benchmarks. Gemini 2.0 Flash is made by Google and o1 is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini 2.0 Flash compare to o1 in benchmarks?

Gemini 2.0 Flash scores Natural2Code: 92.9%, MATH: 89.7%, FACTS Grounding: 83.6%, MMLU-Pro: 76.4%, EgoSchema: 71.5%. o1 scores GSM8k: 97.1%, MATH: 96.4%, GPQA Physics: 92.8%, MMLU: 91.8%, MGSM: 89.3%.

Is Gemini 2.0 Flash cheaper than o1?

Gemini 2.0 Flash is 150.0x cheaper for input tokens. Gemini 2.0 Flash costs $0.10/M input and $0.40/M output via google. o1 costs $15.00/M input and $60.00/M output via azure.

What are the context window sizes for Gemini 2.0 Flash and o1?

Gemini 2.0 Flash supports 1.0M tokens and o1 supports 200K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 2.0 Flash and o1?

Key differences include context window (1.0M vs 200K), input pricing ($0.10 vs $15.00/M), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.0 Flash and o1?

Gemini 2.0 Flash is developed by Google and o1 is developed by OpenAI.

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