Model Comparison

DeepSeek-V2.5 vs Gemini 1.5 Flash

DeepSeek-V2.5 shows notably better performance in the majority of benchmarks. DeepSeek-V2.5 is 1.5x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

DeepSeek-V2.5 outperforms in 3 benchmarks (GSM8k, HumanEval, MMLU), while Gemini 1.5 Flash is better at 1 benchmark (MATH).

DeepSeek-V2.5 shows notably better performance in the majority of benchmarks.

Tue Apr 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V2.5 costs less

For input processing, DeepSeek-V2.5 ($0.14/1M tokens) is 1.1x cheaper than Gemini 1.5 Flash ($0.15/1M tokens).

For output processing, DeepSeek-V2.5 ($0.28/1M tokens) is 2.1x cheaper than Gemini 1.5 Flash ($0.60/1M tokens).

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

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

Lowest available price from all providers
Tue Apr 14 2026 • llm-stats.com
DeepSeek
DeepSeek-V2.5
Input tokens$0.14
Output tokens$0.28
Best providerDeepSeek
Google
Gemini 1.5 Flash
Input tokens$0.15
Output tokens$0.60
Best providerGoogle
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Context Window

Maximum input and output token capacity

Gemini 1.5 Flash accepts 1,048,576 input tokens compared to DeepSeek-V2.5's 8,192 tokens. Both models can generate responses up to 8,192 tokens.

DeepSeek
DeepSeek-V2.5
Input8,192 tokens
Output8,192 tokens
Google
Gemini 1.5 Flash
Input1,048,576 tokens
Output8,192 tokens
Tue Apr 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

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

DeepSeek-V2.5

Text
Images
Audio
Video

Gemini 1.5 Flash

Text
Images
Audio
Video

License

Usage and distribution terms

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

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

DeepSeek-V2.5

deepseek

Open weights

Gemini 1.5 Flash

Proprietary

Closed source

Release Timeline

When each model was launched

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

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

DeepSeek-V2.5

May 8, 2024

1.9 years ago

1w newer
Gemini 1.5 Flash

May 1, 2024

2.0 years ago

Knowledge Cutoff

When training data ends

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

DeepSeek-V2.5

—

Gemini 1.5 Flash

Nov 2023

Provider Availability

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

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

Gemini 1.5 Flash

google logo
Google
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher GSM8k score (95.1% vs 86.2%)
Higher HumanEval score (89.0% vs 74.3%)
Higher MMLU score (80.4% vs 78.9%)
Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Higher MATH score (77.9% vs 74.7%)
DeepSeekDeepSeek-V2.5
GoogleGemini 1.5 Flash
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Detailed Comparison

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

FAQ

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

DeepSeek-V2.5 shows notably better performance in the majority of benchmarks. DeepSeek-V2.5 is made by DeepSeek and Gemini 1.5 Flash is made by Google. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
DeepSeek-V2.5 scores GSM8k: 95.1%, MT-Bench: 90.2%, HumanEval: 89.0%, BBH: 84.3%, AlignBench: 80.4%. Gemini 1.5 Flash scores XSTest: 97.0%, HellaSwag: 86.5%, GSM8k: 86.2%, BIG-Bench Hard: 85.5%, MGSM: 82.6%.
DeepSeek-V2.5 is 1.1x cheaper for input tokens. DeepSeek-V2.5 costs $0.14/M input and $0.28/M output via deepseek. Gemini 1.5 Flash costs $0.15/M input and $0.60/M output via google.
DeepSeek-V2.5 supports 8K tokens and Gemini 1.5 Flash supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (8K vs 1.0M), input pricing ($0.14 vs $0.15/M), multimodal support (no vs yes), licensing (deepseek vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
DeepSeek-V2.5 is developed by DeepSeek and Gemini 1.5 Flash is developed by Google.