Model Comparison

DeepSeek-V2.5 vs Gemini 1.5 FlashWhich is better in 2026?

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

Verdict: DeepSeek-V2.5 vs Gemini 1.5 Flash — which is better?

DeepSeek-V2.5 (by DeepSeek) and Gemini 1.5 Flash (by Google) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

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.

On price, DeepSeek-V2.5 is roughly 1.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 1.5 Flash also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Choose DeepSeek-V2.5 if…

  • you want the strongest raw capability — it leads on 3 of 4 shared benchmarks
  • cost matters — it's about 1.5x cheaper per token
  • you want the most recent training data — it shipped May 2024
  • you need open weights you can self-host or fine-tune

Choose Gemini 1.5 Flash if…

  • you process long inputs — it offers a 1,048,576 token context window
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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.

Thu Jun 11 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
Thu Jun 11 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
Thu Jun 11 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

2.1 years ago

1w newer
Gemini 1.5 Flash

May 1, 2024

2.1 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.

Which is better, DeepSeek-V2.5 or 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.

How does DeepSeek-V2.5 compare to Gemini 1.5 Flash in benchmarks?

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%, FLEURS: 90.4%, HellaSwag: 86.5%, GSM8k: 86.2%, BIG-Bench Hard: 85.5%.

Is DeepSeek-V2.5 cheaper than Gemini 1.5 Flash?

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.

What are the context window sizes for DeepSeek-V2.5 and Gemini 1.5 Flash?

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.

What are the main differences between DeepSeek-V2.5 and Gemini 1.5 Flash?

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.

Who makes DeepSeek-V2.5 and Gemini 1.5 Flash?

DeepSeek-V2.5 is developed by DeepSeek and Gemini 1.5 Flash is developed by Google.

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