Model Comparison

DeepSeek-V3.2-Exp vs Gemini 1.0 Pro

DeepSeek-V3.2-Exp significantly outperforms across most benchmarks. DeepSeek-V3.2-Exp is 2.5x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek-V3.2-Exp outperforms in 1 benchmarks (GPQA), while Gemini 1.0 Pro is better at 0 benchmarks.

DeepSeek-V3.2-Exp significantly outperforms across most benchmarks.

Fri May 08 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3.2-Exp costs less

For input processing, DeepSeek-V3.2-Exp ($0.27/1M tokens) is 1.9x cheaper than Gemini 1.0 Pro ($0.50/1M tokens).

For output processing, DeepSeek-V3.2-Exp ($0.41/1M tokens) is 3.7x cheaper than Gemini 1.0 Pro ($1.50/1M tokens).

In conclusion, Gemini 1.0 Pro is more expensive than DeepSeek-V3.2-Exp.*

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

Lowest available price from all providers

Fri May 08 2026 • llm-stats.com

DeepSeek-V3.2-Exp

Input tokens$0.27

Output tokens$0.41

Best providerNovita

Gemini 1.0 Pro

Input tokens$0.50

Output tokens$1.50

Best providerGoogle

Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

DeepSeek-V3.2-Exp accepts 163,840 input tokens compared to Gemini 1.0 Pro's 32,760 tokens. DeepSeek-V3.2-Exp can generate longer responses up to 65,536 tokens, while Gemini 1.0 Pro is limited to 8,192 tokens.

DeepSeek-V3.2-Exp

Input163,840 tokens

Output65,536 tokens

Gemini 1.0 Pro

Input32,760 tokens

Output8,192 tokens

Fri May 08 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3.2-Exp is licensed under MIT, while Gemini 1.0 Pro uses a proprietary license.

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

DeepSeek-V3.2-Exp

MIT

Open weights

Gemini 1.0 Pro

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V3.2-Exp was released on 2025-09-29, while Gemini 1.0 Pro was released on 2024-02-15.

DeepSeek-V3.2-Exp is 20 months newer than Gemini 1.0 Pro.

DeepSeek-V3.2-Exp

Sep 29, 2025

7 months ago

1.6yr newer

Gemini 1.0 Pro

Feb 15, 2024

2.2 years ago

Knowledge Cutoff

When training data ends

Gemini 1.0 Pro has a documented knowledge cutoff of 2024-02-01, while DeepSeek-V3.2-Exp'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-V3.2-Exp's cutoff date.

DeepSeek-V3.2-Exp

—

Gemini 1.0 Pro

Feb 2024

Provider Availability

DeepSeek-V3.2-Exp is available from Novita. Gemini 1.0 Pro is available from Google.

DeepSeek-V3.2-Exp

Novita

Input Price:Input: $0.27/1MOutput Price:Output: $0.41/1M

Gemini 1.0 Pro

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

DeepSeek-V3.2-Exp

View details

DeepSeek

Larger context window (163,840 tokens)

Less expensive input tokens

Less expensive output tokens

Has open weights

Higher GPQA score (79.9% vs 27.9%)

Gemini 1.0 Pro

View details

Google

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

Detailed Comparison

AI Model Comparison Table
Feature	DeepSeek-V3.2-Exp	Gemini 1.0 Pro

FAQ

Common questions about DeepSeek-V3.2-Exp vs Gemini 1.0 Pro.

Which is better, DeepSeek-V3.2-Exp or Gemini 1.0 Pro?

DeepSeek-V3.2-Exp significantly outperforms across most benchmarks. DeepSeek-V3.2-Exp is made by DeepSeek 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.

How does DeepSeek-V3.2-Exp compare to Gemini 1.0 Pro in benchmarks?

DeepSeek-V3.2-Exp scores SimpleQA: 97.1%, AIME 2025: 89.3%, MMLU-Pro: 85.0%, HMMT 2025: 83.6%, GPQA: 79.9%. Gemini 1.0 Pro scores BIG-Bench: 75.0%, MMLU: 71.8%, WMT23: 71.7%, EgoSchema: 55.7%, MMMU: 47.9%.

Is DeepSeek-V3.2-Exp cheaper than Gemini 1.0 Pro?

DeepSeek-V3.2-Exp is 1.9x cheaper for input tokens. DeepSeek-V3.2-Exp costs $0.27/M input and $0.41/M output via novita. Gemini 1.0 Pro costs $0.50/M input and $1.50/M output via google.

What are the context window sizes for DeepSeek-V3.2-Exp and Gemini 1.0 Pro?

DeepSeek-V3.2-Exp supports 164K 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.

What are the main differences between DeepSeek-V3.2-Exp and Gemini 1.0 Pro?

Key differences include context window (164K vs 33K), input pricing ($0.27 vs $0.50/M), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3.2-Exp and Gemini 1.0 Pro?

DeepSeek-V3.2-Exp is developed by DeepSeek and Gemini 1.0 Pro is developed by Google.