Model Comparison

Gemini 1.5 Flash 8B vs DeepSeek-V2.5

DeepSeek-V2.5 significantly outperforms across most benchmarks. Gemini 1.5 Flash 8B is 1.4x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Gemini 1.5 Flash 8B outperforms in 0 benchmarks, while DeepSeek-V2.5 is better at 1 benchmark (MATH).

DeepSeek-V2.5 significantly outperforms across most benchmarks.

Mon Apr 06 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemini 1.5 Flash 8B costs less

For input processing, Gemini 1.5 Flash 8B ($0.07/1M tokens) is 2.0x cheaper than DeepSeek-V2.5 ($0.14/1M tokens).

For output processing, Gemini 1.5 Flash 8B ($0.30/1M tokens) is 1.1x more expensive than DeepSeek-V2.5 ($0.28/1M tokens).

In conclusion, DeepSeek-V2.5 is more expensive than Gemini 1.5 Flash 8B.*

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

Lowest available price from all providers
Mon Apr 06 2026 • llm-stats.com
Google
Gemini 1.5 Flash 8B
Input tokens$0.07
Output tokens$0.30
Best providerGoogle
DeepSeek
DeepSeek-V2.5
Input tokens$0.14
Output tokens$0.28
Best providerDeepSeek
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Model Size

Parameter count comparison

228.0B diff

DeepSeek-V2.5 has 228.0B more parameters than Gemini 1.5 Flash 8B, making it 2850.0% larger.

Google
Gemini 1.5 Flash 8B
8.0Bparameters
DeepSeek
DeepSeek-V2.5
236.0Bparameters
8.0B
Gemini 1.5 Flash 8B
236.0B
DeepSeek-V2.5

Context Window

Maximum input and output token capacity

Gemini 1.5 Flash 8B 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.

Google
Gemini 1.5 Flash 8B
Input1,048,576 tokens
Output8,192 tokens
DeepSeek
DeepSeek-V2.5
Input8,192 tokens
Output8,192 tokens
Mon Apr 06 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 1.5 Flash 8B supports multimodal inputs, whereas DeepSeek-V2.5 does not.

Gemini 1.5 Flash 8B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 1.5 Flash 8B

Text
Images
Audio
Video

DeepSeek-V2.5

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 1.5 Flash 8B 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 Flash 8B

Proprietary

Closed source

DeepSeek-V2.5

deepseek

Open weights

Release Timeline

When each model was launched

Gemini 1.5 Flash 8B was released on 2024-03-15, while DeepSeek-V2.5 was released on 2024-05-08.

DeepSeek-V2.5 is 2 months newer than Gemini 1.5 Flash 8B.

Gemini 1.5 Flash 8B

Mar 15, 2024

2.1 years ago

DeepSeek-V2.5

May 8, 2024

1.9 years ago

1mo newer

Knowledge Cutoff

When training data ends

Gemini 1.5 Flash 8B has a documented knowledge cutoff of 2024-10-01, while DeepSeek-V2.5's cutoff date is not specified.

We can confirm Gemini 1.5 Flash 8B's training data extends to 2024-10-01, but cannot make a direct comparison without DeepSeek-V2.5's cutoff date.

Gemini 1.5 Flash 8B

Oct 2024

DeepSeek-V2.5

—

Provider Availability

Gemini 1.5 Flash 8B is available from Google. DeepSeek-V2.5 is available from DeepSeek, DeepInfra, Hyperbolic.

Gemini 1.5 Flash 8B

google logo
Google
Input Price:Input: $0.07/1MOutput Price:Output: $0.30/1M

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 (1,048,576 tokens)
Supports multimodal inputs
Less expensive input tokens
DeepSeek
Less expensive output tokens
Has open weights
Higher MATH score (74.7% vs 58.7%)
GoogleGemini 1.5 Flash 8B
DeepSeekDeepSeek-V2.5
Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 1.5 Flash 8B
DeepSeek
DeepSeek-V2.5

FAQ

Common questions about Gemini 1.5 Flash 8B vs DeepSeek-V2.5

DeepSeek-V2.5 significantly outperforms across most benchmarks. Gemini 1.5 Flash 8B 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 Flash 8B scores XSTest: 92.6%, FLEURS: 86.4%, Natural2Code: 75.5%, WMT23: 72.6%, Video-MME: 66.2%. DeepSeek-V2.5 scores GSM8k: 95.1%, MT-Bench: 90.2%, HumanEval: 89.0%, BBH: 84.3%, AlignBench: 80.4%.
Gemini 1.5 Flash 8B is 2.0x cheaper for input tokens. Gemini 1.5 Flash 8B costs $0.07/M input and $0.30/M output via google. DeepSeek-V2.5 costs $0.14/M input and $0.28/M output via deepseek.
Gemini 1.5 Flash 8B supports 1.0M 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 (1.0M vs 8K), input pricing ($0.07 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 Flash 8B is developed by Google and DeepSeek-V2.5 is developed by DeepSeek.