Model Comparison

DeepSeek-V3.1 vs Gemini 1.5 Flash 8BWhich is better in 2026?

DeepSeek-V3.1 significantly outperforms across most benchmarks. Gemini 1.5 Flash 8B is 3.5x cheaper per token.

Verdict: DeepSeek-V3.1 vs Gemini 1.5 Flash 8B — which is better?

DeepSeek-V3.1 (by DeepSeek) and Gemini 1.5 Flash 8B (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 8B is better at 0 benchmarks. DeepSeek-V3.1 significantly outperforms across most benchmarks.

On price, Gemini 1.5 Flash 8B is roughly 3.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 1.5 Flash 8B 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 8B if…

  • cost matters — it's about 3.5x 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 8B is better at 0 benchmarks.

DeepSeek-V3.1 significantly outperforms across most benchmarks.

Wed Jun 24 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, DeepSeek-V3.1 ($0.27/1M tokens) is 3.9x more expensive than Gemini 1.5 Flash 8B ($0.07/1M tokens).

For output processing, DeepSeek-V3.1 ($1.00/1M tokens) is 3.3x more expensive than Gemini 1.5 Flash 8B ($0.30/1M tokens).

In conclusion, DeepSeek-V3.1 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
Wed Jun 24 2026 • llm-stats.com
DeepSeek
DeepSeek-V3.1
Input tokens$0.27
Output tokens$1.00
Best providerDeepinfra
Google
Gemini 1.5 Flash 8B
Input tokens$0.07
Output tokens$0.30
Best providerGoogle
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Model Size

Parameter count comparison

663.0B diff

DeepSeek-V3.1 has 663.0B more parameters than Gemini 1.5 Flash 8B, making it 8287.5% larger.

DeepSeek
DeepSeek-V3.1
671.0Bparameters
Google
Gemini 1.5 Flash 8B
8.0Bparameters
671.0B
DeepSeek-V3.1
8.0B
Gemini 1.5 Flash 8B

Context Window

Maximum input and output token capacity

Gemini 1.5 Flash 8B 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 8B is limited to 8,192 tokens.

DeepSeek
DeepSeek-V3.1
Input163,840 tokens
Output163,840 tokens
Google
Gemini 1.5 Flash 8B
Input1,048,576 tokens
Output8,192 tokens
Wed Jun 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 1.5 Flash 8B supports multimodal inputs, whereas DeepSeek-V3.1 does not.

Gemini 1.5 Flash 8B 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 8B

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3.1 is licensed under MIT, while Gemini 1.5 Flash 8B 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 8B

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V3.1 was released on 2025-01-10, while Gemini 1.5 Flash 8B was released on 2024-03-15.

DeepSeek-V3.1 is 10 months newer than Gemini 1.5 Flash 8B.

DeepSeek-V3.1

Jan 10, 2025

1.5 years ago

10mo newer
Gemini 1.5 Flash 8B

Mar 15, 2024

2.3 years ago

Knowledge Cutoff

When training data ends

Gemini 1.5 Flash 8B has a documented knowledge cutoff of 2024-10-01, while DeepSeek-V3.1'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-V3.1's cutoff date.

DeepSeek-V3.1

—

Gemini 1.5 Flash 8B

Oct 2024

Provider Availability

DeepSeek-V3.1 is available from DeepInfra, Novita. Gemini 1.5 Flash 8B 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 8B

google logo
Google
Input Price:Input: $0.07/1MOutput Price:Output: $0.30/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek
Has open weights
Higher GPQA score (74.9% vs 38.4%)
Higher MMLU-Pro score (83.7% vs 58.7%)
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 8B
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Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3.1
Google
Gemini 1.5 Flash 8B

FAQ

Common questions about DeepSeek-V3.1 vs Gemini 1.5 Flash 8B.

Which is better, DeepSeek-V3.1 or Gemini 1.5 Flash 8B?

DeepSeek-V3.1 significantly outperforms across most benchmarks. DeepSeek-V3.1 is made by DeepSeek and Gemini 1.5 Flash 8B 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 8B 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 8B scores XSTest: 92.6%, FLEURS: 86.4%, Natural2Code: 75.5%, WMT23: 72.6%, Video-MME: 66.2%.

Is DeepSeek-V3.1 cheaper than Gemini 1.5 Flash 8B?

Gemini 1.5 Flash 8B is 3.9x cheaper for input tokens. DeepSeek-V3.1 costs $0.27/M input and $1.00/M output via deepinfra. Gemini 1.5 Flash 8B costs $0.07/M input and $0.30/M output via google.

What are the context window sizes for DeepSeek-V3.1 and Gemini 1.5 Flash 8B?

DeepSeek-V3.1 supports 164K tokens and Gemini 1.5 Flash 8B 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 8B?

Key differences include context window (164K vs 1.0M), input pricing ($0.27 vs $0.07/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 8B?

DeepSeek-V3.1 is developed by DeepSeek and Gemini 1.5 Flash 8B is developed by Google.

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