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Model Comparison

Gemini 1.5 Pro vs DeepSeek-V2.5

Both models are evenly matched across the benchmarks. DeepSeek-V2.5 is 25.0x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Gemini 1.5 Pro outperforms in 2 benchmarks (MATH, MMLU), while DeepSeek-V2.5 is better at 2 benchmarks (GSM8k, HumanEval).

Both models are evenly matched across the benchmarks.

Fri Apr 24 2026 • llm-stats.com

Arena Performance

Human preference votes

CallingBox

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Pricing Analysis

Price comparison per million tokens

DeepSeek-V2.5 costs less

For input processing, Gemini 1.5 Pro ($2.50/1M tokens) is 17.9x more expensive than DeepSeek-V2.5 ($0.14/1M tokens).

For output processing, Gemini 1.5 Pro ($10.00/1M tokens) is 35.7x more expensive than DeepSeek-V2.5 ($0.28/1M tokens).

In conclusion, Gemini 1.5 Pro is more expensive than DeepSeek-V2.5.*

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

Lowest available price from all providers
Fri Apr 24 2026 • llm-stats.com
Google
Gemini 1.5 Pro
Input tokens$2.50
Output tokens$10.00
Best providerGoogle
DeepSeek
DeepSeek-V2.5
Input tokens$0.14
Output tokens$0.28
Best providerDeepSeek
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 1.5 Pro accepts 2,097,152 input tokens compared to DeepSeek-V2.5's 8,192 tokens. Both models can generate responses up to 8,192 tokens.

Google
Gemini 1.5 Pro
Input2,097,152 tokens
Output8,192 tokens
DeepSeek
DeepSeek-V2.5
Input8,192 tokens
Output8,192 tokens
Fri Apr 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 1.5 Pro supports multimodal inputs, whereas DeepSeek-V2.5 does not.

Gemini 1.5 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 1.5 Pro

Text
Images
Audio
Video

DeepSeek-V2.5

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 1.5 Pro is licensed under a proprietary license, while DeepSeek-V2.5 uses deepseek.

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

Gemini 1.5 Pro

Proprietary

Closed source

DeepSeek-V2.5

deepseek

Open weights

Release Timeline

When each model was launched

Gemini 1.5 Pro was released on 2024-05-01, while DeepSeek-V2.5 was released on 2024-05-08.

DeepSeek-V2.5 is 0 month newer than Gemini 1.5 Pro.

Gemini 1.5 Pro

May 1, 2024

2.0 years ago

DeepSeek-V2.5

May 8, 2024

2.0 years ago

1w newer

Knowledge Cutoff

When training data ends

Gemini 1.5 Pro has a documented knowledge cutoff of 2023-11-01, while DeepSeek-V2.5's cutoff date is not specified.

We can confirm Gemini 1.5 Pro's training data extends to 2023-11-01, but cannot make a direct comparison without DeepSeek-V2.5's cutoff date.

Gemini 1.5 Pro

Nov 2023

DeepSeek-V2.5

—

Provider Availability

Gemini 1.5 Pro is available from Google. DeepSeek-V2.5 is available from DeepSeek, DeepInfra, Hyperbolic.

Gemini 1.5 Pro

google logo
Google
Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M

DeepSeek-V2.5

deepseek logo
DeepSeek
Input Price:Input: $0.14/1MOutput Price:Output: $0.28/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.70/1MOutput Price:Output: $1.40/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $2.00/1MOutput Price:Output: $2.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Google
Larger context window (2,097,152 tokens)
Supports multimodal inputs
Higher MATH score (86.5% vs 74.7%)
Higher MMLU score (85.9% vs 80.4%)
DeepSeek
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher GSM8k score (95.1% vs 90.8%)
Higher HumanEval score (89.0% vs 84.1%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 1.5 Pro
DeepSeek
DeepSeek-V2.5

FAQ

Common questions about Gemini 1.5 Pro vs DeepSeek-V2.5

Both models are evenly matched across the benchmarks. Gemini 1.5 Pro is made by Google and DeepSeek-V2.5 is made by DeepSeek. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Gemini 1.5 Pro scores XSTest: 98.8%, HellaSwag: 93.3%, GSM8k: 90.8%, BIG-Bench Hard: 89.2%, MGSM: 87.5%. DeepSeek-V2.5 scores GSM8k: 95.1%, MT-Bench: 90.2%, HumanEval: 89.0%, BBH: 84.3%, AlignBench: 80.4%.
DeepSeek-V2.5 is 17.9x cheaper for input tokens. Gemini 1.5 Pro costs $2.50/M input and $10.00/M output via google. DeepSeek-V2.5 costs $0.14/M input and $0.28/M output via deepseek.
Gemini 1.5 Pro supports 2.1M tokens and DeepSeek-V2.5 supports 8K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (2.1M vs 8K), input pricing ($2.50 vs $0.14/M), multimodal support (yes vs no), licensing (Proprietary vs deepseek). See the full comparison above for benchmark-by-benchmark results.
Gemini 1.5 Pro is developed by Google and DeepSeek-V2.5 is developed by DeepSeek.