Gemini 2.0 Flash vs o1

Gemini 2.0 Flash and o1 are closely matched at 16.5 and 20.9 on the LLM Stats Score. Gemini 2.0 Flash is 150.0x cheaper per token.

Google · OpenAI · Updated for 2026

Which is better?

Gemini 2.0 Flash and o1 are closely matched on the overall LLM Stats Score at 16.5 and 20.9.

In the 3 individual benchmarks reported for both models, o1 wins 3; this is a narrower head-to-head signal than the composite indexes.

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.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Gemini 2.0 Flash

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

you value its reported benchmark strengths — it wins 3 of 3 exact shared results
you want the most recent training data — it shipped Dec 2024

At a glance

The differences that matter most.

Better token value: Gemini 2.0 Flash

Gemini 2.0 Flash

Google

OpenAI

Core performance indexes

LLM Stats Score

16.5

#220 · 13 evals

20.9

#190 · 16 evals

Best

Reasoning

15.8

#219 · 11 evals

21.3

#180 · 15 evals

Best

Coding

1.7

#228 · 1 evals

4.6

#205 · 2 evals

Best

Cost, coverage & limits

Benchmark wins

0 of 3

3 of 3

Best

Input price

$0.10 / M

Best

$15.00 / M

Output price

$0.40 / M

Best

$60.00 / M

Context window

1,048,576

Best

200,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared

Index

Gemini 2.0 Flash

Math

23.4#130 · 3 evals

24.0#121 · 9 evals

Vision

7.9#138 · 3 evals

12.6#98 · 2 evals

Multimodal

13.6#97 · 2 evals

16.3#81 · 2 evals

Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

13 reported for Gemini 2.0 Flash · 19 for o1

3 shared

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

o1 significantly outperforms across most benchmarks.

Mon Sep 14 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

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

Mon Sep 14 2026 • llm-stats.com

Gemini 2.0 Flash

Input tokens$0.10

Output tokens$0.40

Best providerGoogle

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.

Gemini 2.0 Flash

Input1,048,576 tokens

Output8,192 tokens

Input200,000 tokens

Output100,000 tokens

Mon Sep 14 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

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

1.8 years ago

Dec 17, 2024

1.7 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

—

Provider Availability

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

Gemini 2.0 Flash

Google

Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M

o1

Azure

Input Price:Input: $15.00/1MOutput Price:Output: $60.00/1M

OpenAI

Input Price:Input: $15.00/1MOutput Price:Output: $60.00/1M

* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemini 2.0 Flash and o1 side-by-side, then vote on the output you prefer.

Gemini 2.0 Flash

✓ Preferred

Open in Playground

FAQ

Common questions about Gemini 2.0 Flash vs o1.

Which is better, Gemini 2.0 Flash or o1?

Gemini 2.0 Flash and o1 are closely matched on the LLM Stats Score at 16.5 and 20.9. Gemini 2.0 Flash is made by Google and o1 is made by OpenAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits 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 LLM Stats Score (16.5 vs 20.9), 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.

Gemini 2.0 Flash vs o1