Model Comparison
Gemini 1.0 Pro vs Gemini 2.0 FlashWhich is better in 2026?
Gemini 2.0 Flash significantly outperforms across most benchmarks. Gemini 2.0 Flash is 4.3x cheaper per token.
Verdict: Gemini 1.0 Pro vs Gemini 2.0 Flash — which is better?
Gemini 1.0 Pro (by Google) and Gemini 2.0 Flash (by Google) 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 1.0 Pro outperforms in 0 benchmarks, while Gemini 2.0 Flash is better at 4 benchmarks (EgoSchema, GPQA, MATH, MMMU). Gemini 2.0 Flash significantly outperforms across most benchmarks.
On price, Gemini 2.0 Flash is roughly 4.3x 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 1.0 Pro if…
- you want predictable pricing at $0.50/M input and $1.50/M output
Choose Gemini 2.0 Flash if…
- you want the strongest raw capability — it leads on 4 of 4 shared benchmarks
- cost matters — it's about 4.3x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Dec 2024
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 1.0 Pro outperforms in 0 benchmarks, while Gemini 2.0 Flash is better at 4 benchmarks (EgoSchema, GPQA, MATH, MMMU).
Gemini 2.0 Flash significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 1.0 Pro ($0.50/1M tokens) is 5.0x more expensive than Gemini 2.0 Flash ($0.10/1M tokens).
For output processing, Gemini 1.0 Pro ($1.50/1M tokens) is 3.8x more expensive than Gemini 2.0 Flash ($0.40/1M tokens).
In conclusion, Gemini 1.0 Pro is more expensive than Gemini 2.0 Flash.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 2.0 Flash accepts 1,048,576 input tokens compared to Gemini 1.0 Pro's 32,760 tokens. Both models can generate responses up to 8,192 tokens.
Input Capabilities
Supported data types and modalities
Gemini 2.0 Flash supports multimodal inputs, whereas Gemini 1.0 Pro does not.
Gemini 2.0 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 1.0 Pro
Gemini 2.0 Flash
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Gemini 1.0 Pro was released on 2024-02-15, while Gemini 2.0 Flash was released on 2024-12-01.
Gemini 2.0 Flash is 10 months newer than Gemini 1.0 Pro.
Feb 15, 2024
2.3 years ago
Dec 1, 2024
1.5 years ago
9mo newerKnowledge Cutoff
When training data ends
Gemini 1.0 Pro has a knowledge cutoff of 2024-02-01, while Gemini 2.0 Flash has a cutoff of 2024-08-01.
Gemini 2.0 Flash has more recent training data (up to 2024-08-01), making it potentially better informed about events through that date compared to Gemini 1.0 Pro (2024-02-01).
Feb 2024
Aug 2024
6 mo newerProvider Availability
Gemini 1.0 Pro is available from Google. Gemini 2.0 Flash is available from Google.
Gemini 1.0 Pro
Gemini 2.0 Flash
Outputs Comparison
Key Takeaways
No standout differentiators in the data we have for this pair.
Detailed Comparison
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FAQ
Common questions about Gemini 1.0 Pro vs Gemini 2.0 Flash.