Model Comparison

Gemini 3 Flash vs Gemini 1.0 Pro

Gemini 3 Flash significantly outperforms across most benchmarks. Gemini 1.0 Pro is 1.5x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Gemini 3 Flash outperforms in 1 benchmarks (GPQA), while Gemini 1.0 Pro is better at 0 benchmarks.

Gemini 3 Flash significantly outperforms across most benchmarks.

Thu Apr 16 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemini 1.0 Pro costs less

For input processing, Gemini 3 Flash ($0.50/1M tokens) costs the same as Gemini 1.0 Pro ($0.50/1M tokens).

For output processing, Gemini 3 Flash ($3.00/1M tokens) is 2.0x more expensive than Gemini 1.0 Pro ($1.50/1M tokens).

In conclusion, Gemini 3 Flash is more expensive than Gemini 1.0 Pro.*

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

Lowest available price from all providers
Thu Apr 16 2026 • llm-stats.com
Google
Gemini 3 Flash
Input tokens$0.50
Output tokens$3.00
Best providerGoogle
Google
Gemini 1.0 Pro
Input tokens$0.50
Output tokens$1.50
Best providerGoogle
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Context Window

Maximum input and output token capacity

Gemini 3 Flash accepts 1,000,000 input tokens compared to Gemini 1.0 Pro's 32,760 tokens. Gemini 3 Flash can generate longer responses up to 65,536 tokens, while Gemini 1.0 Pro is limited to 8,192 tokens.

Google
Gemini 3 Flash
Input1,000,000 tokens
Output65,536 tokens
Google
Gemini 1.0 Pro
Input32,760 tokens
Output8,192 tokens
Thu Apr 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 3 Flash supports multimodal inputs, whereas Gemini 1.0 Pro does not.

Gemini 3 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 3 Flash

Text
Images
Audio
Video

Gemini 1.0 Pro

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 3 Flash

Proprietary

Closed source

Gemini 1.0 Pro

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 3 Flash was released on 2025-12-17, while Gemini 1.0 Pro was released on 2024-02-15.

Gemini 3 Flash is 22 months newer than Gemini 1.0 Pro.

Gemini 3 Flash

Dec 17, 2025

4 months ago

1.8yr newer
Gemini 1.0 Pro

Feb 15, 2024

2.2 years ago

Knowledge Cutoff

When training data ends

Gemini 3 Flash has a knowledge cutoff of 2025-01-31, while Gemini 1.0 Pro has a cutoff of 2024-02-01.

Gemini 3 Flash has more recent training data (up to 2025-01-31), making it potentially better informed about events through that date compared to Gemini 1.0 Pro (2024-02-01).

Gemini 3 Flash

Jan 2025

11 mo newer
Gemini 1.0 Pro

Feb 2024

Provider Availability

Gemini 3 Flash is available from Google. Gemini 1.0 Pro is available from Google.

Gemini 3 Flash

google logo
Google
Input Price:Input: $0.50/1MOutput Price:Output: $3.00/1M

Gemini 1.0 Pro

google logo
Google
Input Price:Input: $0.50/1MOutput Price:Output: $1.50/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Google
Larger context window (1,000,000 tokens)
Supports multimodal inputs
Higher GPQA score (90.4% vs 27.9%)
Google
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 3 Flash
Google
Gemini 1.0 Pro

FAQ

Common questions about Gemini 3 Flash vs Gemini 1.0 Pro

Gemini 3 Flash significantly outperforms across most benchmarks. Gemini 3 Flash is made by Google and Gemini 1.0 Pro is made by Google. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Gemini 3 Flash scores Vending-Bench 2: 100.0%, AIME 2025: 99.7%, Global PIQA: 92.8%, MMMLU: 91.8%, GPQA: 90.4%. Gemini 1.0 Pro scores BIG-Bench: 75.0%, MMLU: 71.8%, WMT23: 71.7%, EgoSchema: 55.7%, MMMU: 47.9%.
Both models cost $0.50 per million input tokens.
Gemini 3 Flash supports 1.0M tokens and Gemini 1.0 Pro supports 33K 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 33K), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.