Model Comparison

Gemini 1.0 Pro vs DeepSeek-V3 0324

DeepSeek-V3 0324 significantly outperforms across most benchmarks. DeepSeek-V3 0324 is 1.5x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Gemini 1.0 Pro outperforms in 0 benchmarks, while DeepSeek-V3 0324 is better at 1 benchmark (GPQA).

DeepSeek-V3 0324 significantly outperforms across most benchmarks.

Mon May 25 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3 0324 costs less

For input processing, Gemini 1.0 Pro ($0.50/1M tokens) is 1.8x more expensive than DeepSeek-V3 0324 ($0.28/1M tokens).

For output processing, Gemini 1.0 Pro ($1.50/1M tokens) is 1.3x more expensive than DeepSeek-V3 0324 ($1.14/1M tokens).

In conclusion, Gemini 1.0 Pro is more expensive than DeepSeek-V3 0324.*

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

Lowest available price from all providers
Mon May 25 2026 • llm-stats.com
Google
Gemini 1.0 Pro
Input tokens$0.50
Output tokens$1.50
Best providerGoogle
DeepSeek
DeepSeek-V3 0324
Input tokens$0.28
Output tokens$1.14
Best providerNovita
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

DeepSeek-V3 0324 accepts 163,840 input tokens compared to Gemini 1.0 Pro's 32,760 tokens. DeepSeek-V3 0324 can generate longer responses up to 163,840 tokens, while Gemini 1.0 Pro is limited to 8,192 tokens.

Google
Gemini 1.0 Pro
Input32,760 tokens
Output8,192 tokens
DeepSeek
DeepSeek-V3 0324
Input163,840 tokens
Output163,840 tokens
Mon May 25 2026 • llm-stats.com

License

Usage and distribution terms

Gemini 1.0 Pro is licensed under a proprietary license, while DeepSeek-V3 0324 uses MIT + Model License (Commercial use allowed).

License differences may affect how you can use these models in commercial or open-source projects.

Gemini 1.0 Pro

Proprietary

Closed source

DeepSeek-V3 0324

MIT + Model License (Commercial use allowed)

Open weights

Release Timeline

When each model was launched

Gemini 1.0 Pro was released on 2024-02-15, while DeepSeek-V3 0324 was released on 2025-03-25.

DeepSeek-V3 0324 is 13 months newer than Gemini 1.0 Pro.

Gemini 1.0 Pro

Feb 15, 2024

2.3 years ago

DeepSeek-V3 0324

Mar 25, 2025

1.2 years ago

1.1yr newer

Knowledge Cutoff

When training data ends

Gemini 1.0 Pro has a documented knowledge cutoff of 2024-02-01, while DeepSeek-V3 0324's cutoff date is not specified.

We can confirm Gemini 1.0 Pro's training data extends to 2024-02-01, but cannot make a direct comparison without DeepSeek-V3 0324's cutoff date.

Gemini 1.0 Pro

Feb 2024

DeepSeek-V3 0324

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Provider Availability

Gemini 1.0 Pro is available from Google. DeepSeek-V3 0324 is available from Novita.

Gemini 1.0 Pro

google logo
Google
Input Price:Input: $0.50/1MOutput Price:Output: $1.50/1M

DeepSeek-V3 0324

novita logo
Novita
Input Price:Input: $0.28/1MOutput Price:Output: $1.14/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Google

No standout differentiators in the data we have for this pair.

DeepSeek
Larger context window (163,840 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher GPQA score (68.4% vs 27.9%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 1.0 Pro
DeepSeek
DeepSeek-V3 0324

FAQ

Common questions about Gemini 1.0 Pro vs DeepSeek-V3 0324.

Which is better, Gemini 1.0 Pro or DeepSeek-V3 0324?

DeepSeek-V3 0324 significantly outperforms across most benchmarks. Gemini 1.0 Pro is made by Google and DeepSeek-V3 0324 is made by DeepSeek. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini 1.0 Pro compare to DeepSeek-V3 0324 in benchmarks?

Gemini 1.0 Pro scores BIG-Bench: 75.0%, MMLU: 71.8%, WMT23: 71.7%, EgoSchema: 55.7%, MMMU: 47.9%. DeepSeek-V3 0324 scores MATH-500: 94.0%, MMLU-Pro: 81.2%, GPQA: 68.4%, AIME 2024: 59.4%, LiveCodeBench: 49.2%.

Is Gemini 1.0 Pro cheaper than DeepSeek-V3 0324?

DeepSeek-V3 0324 is 1.8x cheaper for input tokens. Gemini 1.0 Pro costs $0.50/M input and $1.50/M output via google. DeepSeek-V3 0324 costs $0.28/M input and $1.14/M output via novita.

What are the context window sizes for Gemini 1.0 Pro and DeepSeek-V3 0324?

Gemini 1.0 Pro supports 33K tokens and DeepSeek-V3 0324 supports 164K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 1.0 Pro and DeepSeek-V3 0324?

Key differences include context window (33K vs 164K), input pricing ($0.50 vs $0.28/M), licensing (Proprietary vs MIT + Model License (Commercial use allowed)). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 1.0 Pro and DeepSeek-V3 0324?

Gemini 1.0 Pro is developed by Google and DeepSeek-V3 0324 is developed by DeepSeek.