Model Comparison

DeepSeek-V3.1 vs Gemini 1.5 FlashWhich is better in 2026?

DeepSeek-V3.1 significantly outperforms across most benchmarks. Gemini 1.5 Flash is 1.7x cheaper per token.

Verdict: DeepSeek-V3.1 vs Gemini 1.5 Flash — which is better?

DeepSeek-V3.1 (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-V3.1 outperforms in 2 benchmarks (GPQA, MMLU-Pro), while Gemini 1.5 Flash is better at 0 benchmarks. DeepSeek-V3.1 significantly outperforms across most benchmarks.

On price, Gemini 1.5 Flash is roughly 1.7x 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-V3.1 if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you want the most recent training data — it shipped Jan 2025
  • you need open weights you can self-host or fine-tune

Choose Gemini 1.5 Flash if…

  • cost matters — it's about 1.7x cheaper per token
  • you process long inputs — it offers a 1,048,576 token context window
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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek-V3.1 outperforms in 2 benchmarks (GPQA, MMLU-Pro), while Gemini 1.5 Flash is better at 0 benchmarks.

DeepSeek-V3.1 significantly outperforms across most benchmarks.

Mon Jun 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemini 1.5 Flash costs less

For input processing, DeepSeek-V3.1 ($0.27/1M tokens) is 1.8x more expensive than Gemini 1.5 Flash ($0.15/1M tokens).

For output processing, DeepSeek-V3.1 ($1.00/1M tokens) is 1.7x more expensive than Gemini 1.5 Flash ($0.60/1M tokens).

In conclusion, DeepSeek-V3.1 is more expensive than Gemini 1.5 Flash.*

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

Lowest available price from all providers
Mon Jun 15 2026 • llm-stats.com
DeepSeek
DeepSeek-V3.1
Input tokens$0.27
Output tokens$1.00
Best providerDeepinfra
Google
Gemini 1.5 Flash
Input tokens$0.15
Output tokens$0.60
Best providerGoogle
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 1.5 Flash accepts 1,048,576 input tokens compared to DeepSeek-V3.1's 163,840 tokens. DeepSeek-V3.1 can generate longer responses up to 163,840 tokens, while Gemini 1.5 Flash is limited to 8,192 tokens.

DeepSeek
DeepSeek-V3.1
Input163,840 tokens
Output163,840 tokens
Google
Gemini 1.5 Flash
Input1,048,576 tokens
Output8,192 tokens
Mon Jun 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 1.5 Flash supports multimodal inputs, whereas DeepSeek-V3.1 does not.

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

DeepSeek-V3.1

Text
Images
Audio
Video

Gemini 1.5 Flash

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3.1 is licensed under MIT, 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-V3.1

MIT

Open weights

Gemini 1.5 Flash

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V3.1 was released on 2025-01-10, while Gemini 1.5 Flash was released on 2024-05-01.

DeepSeek-V3.1 is 8 months newer than Gemini 1.5 Flash.

DeepSeek-V3.1

Jan 10, 2025

1.4 years ago

8mo 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-V3.1'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-V3.1's cutoff date.

DeepSeek-V3.1

—

Gemini 1.5 Flash

Nov 2023

Provider Availability

DeepSeek-V3.1 is available from DeepInfra, Novita. Gemini 1.5 Flash is available from Google.

DeepSeek-V3.1

deepinfra logo
Deepinfra
Input Price:Input: $0.27/1MOutput Price:Output: $1.00/1M
novita logo
Novita
Input Price:Input: $0.27/1MOutput Price:Output: $1.00/1M

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
Has open weights
Higher GPQA score (74.9% vs 51.0%)
Higher MMLU-Pro score (83.7% vs 67.3%)
Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
DeepSeekDeepSeek-V3.1
GoogleGemini 1.5 Flash
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Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3.1
Google
Gemini 1.5 Flash

FAQ

Common questions about DeepSeek-V3.1 vs Gemini 1.5 Flash.

Which is better, DeepSeek-V3.1 or Gemini 1.5 Flash?

DeepSeek-V3.1 significantly outperforms across most benchmarks. DeepSeek-V3.1 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-V3.1 compare to Gemini 1.5 Flash in benchmarks?

DeepSeek-V3.1 scores SimpleQA: 93.4%, MMLU-Redux: 91.8%, MMLU-Pro: 83.7%, GPQA: 74.9%, CodeForces: 69.7%. Gemini 1.5 Flash scores XSTest: 97.0%, FLEURS: 90.4%, HellaSwag: 86.5%, GSM8k: 86.2%, BIG-Bench Hard: 85.5%.

Is DeepSeek-V3.1 cheaper than Gemini 1.5 Flash?

Gemini 1.5 Flash is 1.8x cheaper for input tokens. DeepSeek-V3.1 costs $0.27/M input and $1.00/M output via deepinfra. Gemini 1.5 Flash costs $0.15/M input and $0.60/M output via google.

What are the context window sizes for DeepSeek-V3.1 and Gemini 1.5 Flash?

DeepSeek-V3.1 supports 164K 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-V3.1 and Gemini 1.5 Flash?

Key differences include context window (164K vs 1.0M), input pricing ($0.27 vs $0.15/M), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3.1 and Gemini 1.5 Flash?

DeepSeek-V3.1 is developed by DeepSeek and Gemini 1.5 Flash is developed by Google.

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