Model Comparison

DeepSeek-V3.1 vs Gemini 2.5 Pro Preview 06-05Which is better in 2026?

Gemini 2.5 Pro Preview 06-05 significantly outperforms across most benchmarks. DeepSeek-V3.1 is 7.6x cheaper per token.

Verdict: DeepSeek-V3.1 vs Gemini 2.5 Pro Preview 06-05 — which is better?

DeepSeek-V3.1 (by DeepSeek) and Gemini 2.5 Pro Preview 06-05 (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 1 benchmarks (SimpleQA), while Gemini 2.5 Pro Preview 06-05 is better at 6 benchmarks (Aider-Polyglot, AIME 2025, GPQA, Humanity's Last Exam, LiveCodeBench, SWE-Bench Verified). Gemini 2.5 Pro Preview 06-05 significantly outperforms across most benchmarks.

On price, DeepSeek-V3.1 is roughly 7.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 2.5 Pro Preview 06-05 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…

  • cost matters — it's about 7.6x cheaper per token
  • you need open weights you can self-host or fine-tune

Choose Gemini 2.5 Pro Preview 06-05 if…

  • you want the strongest raw capability — it leads on 6 of 7 shared benchmarks
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Jun 2025

Performance Benchmarks

Comparative analysis across standard metrics

7 benchmarks

DeepSeek-V3.1 outperforms in 1 benchmarks (SimpleQA), while Gemini 2.5 Pro Preview 06-05 is better at 6 benchmarks (Aider-Polyglot, AIME 2025, GPQA, Humanity's Last Exam, LiveCodeBench, SWE-Bench Verified).

Gemini 2.5 Pro Preview 06-05 significantly outperforms across most benchmarks.

Mon Jul 27 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3.1 costs less

For input processing, DeepSeek-V3.1 ($0.27/1M tokens) is 4.6x cheaper than Gemini 2.5 Pro Preview 06-05 ($1.25/1M tokens).

For output processing, DeepSeek-V3.1 ($1.00/1M tokens) is 10.0x cheaper than Gemini 2.5 Pro Preview 06-05 ($10.00/1M tokens).

In conclusion, Gemini 2.5 Pro Preview 06-05 is more expensive than DeepSeek-V3.1.*

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

Lowest available price from all providers
Mon Jul 27 2026 • llm-stats.com
DeepSeek
DeepSeek-V3.1
Input tokens$0.27
Output tokens$1.00
Best providerDeepinfra
Google
Gemini 2.5 Pro Preview 06-05
Input tokens$1.25
Output tokens$10.00
Best providerGoogle
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 2.5 Pro Preview 06-05 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 2.5 Pro Preview 06-05 is limited to 65,535 tokens.

DeepSeek
DeepSeek-V3.1
Input163,840 tokens
Output163,840 tokens
Google
Gemini 2.5 Pro Preview 06-05
Input1,048,576 tokens
Output65,535 tokens
Mon Jul 27 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 2.5 Pro Preview 06-05 supports multimodal inputs, whereas DeepSeek-V3.1 does not.

Gemini 2.5 Pro Preview 06-05 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 2.5 Pro Preview 06-05

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3.1 is licensed under MIT, while Gemini 2.5 Pro Preview 06-05 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 2.5 Pro Preview 06-05

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V3.1 was released on 2025-01-10, while Gemini 2.5 Pro Preview 06-05 was released on 2025-06-05.

Gemini 2.5 Pro Preview 06-05 is 5 months newer than DeepSeek-V3.1.

DeepSeek-V3.1

Jan 10, 2025

1.5 years ago

Gemini 2.5 Pro Preview 06-05

Jun 5, 2025

1.1 years ago

4mo newer

Knowledge Cutoff

When training data ends

Gemini 2.5 Pro Preview 06-05 has a documented knowledge cutoff of 2025-01-31, while DeepSeek-V3.1's cutoff date is not specified.

We can confirm Gemini 2.5 Pro Preview 06-05's training data extends to 2025-01-31, but cannot make a direct comparison without DeepSeek-V3.1's cutoff date.

DeepSeek-V3.1

—

Gemini 2.5 Pro Preview 06-05

Jan 2025

Provider Availability

DeepSeek-V3.1 is available from DeepInfra, Novita. Gemini 2.5 Pro Preview 06-05 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 2.5 Pro Preview 06-05

google logo
Google
Input Price:Input: $1.25/1MOutput Price:Output: $10.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher SimpleQA score (93.4% vs 54.0%)
Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Higher Aider-Polyglot score (82.2% vs 68.4%)
Higher AIME 2025 score (88.0% vs 49.8%)
Higher GPQA score (86.4% vs 74.9%)
Higher Humanity's Last Exam score (21.6% vs 15.9%)
Higher LiveCodeBench score (69.0% vs 56.4%)
Higher SWE-Bench Verified score (67.2% vs 66.0%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against DeepSeek-V3.1 and Gemini 2.5 Pro Preview 06-05 side-by-side, then vote on the output you prefer.

DeepSeek-V3.1
✓ Preferred
Gemini 2.5 Pro Preview 06-05
Open in Playground
AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3.1
Google
Gemini 2.5 Pro Preview 06-05

FAQ

Common questions about DeepSeek-V3.1 vs Gemini 2.5 Pro Preview 06-05.

Which is better, DeepSeek-V3.1 or Gemini 2.5 Pro Preview 06-05?

Gemini 2.5 Pro Preview 06-05 significantly outperforms across most benchmarks. DeepSeek-V3.1 is made by DeepSeek and Gemini 2.5 Pro Preview 06-05 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 2.5 Pro Preview 06-05 in benchmarks?

DeepSeek-V3.1 scores SimpleQA: 93.4%, MMLU-Redux: 91.8%, MMLU-Pro: 83.7%, GPQA: 74.9%, CodeForces: 69.7%. Gemini 2.5 Pro Preview 06-05 scores Global-MMLU-Lite: 89.2%, AIME 2025: 88.0%, FACTS Grounding: 87.8%, GPQA: 86.4%, VideoMMMU: 83.6%.

Is DeepSeek-V3.1 cheaper than Gemini 2.5 Pro Preview 06-05?

DeepSeek-V3.1 is 4.6x cheaper for input tokens. DeepSeek-V3.1 costs $0.27/M input and $1.00/M output via deepinfra. Gemini 2.5 Pro Preview 06-05 costs $1.25/M input and $10.00/M output via google.

What are the context window sizes for DeepSeek-V3.1 and Gemini 2.5 Pro Preview 06-05?

DeepSeek-V3.1 supports 164K tokens and Gemini 2.5 Pro Preview 06-05 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 2.5 Pro Preview 06-05?

Key differences include context window (164K vs 1.0M), input pricing ($0.27 vs $1.25/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 2.5 Pro Preview 06-05?

DeepSeek-V3.1 is developed by DeepSeek and Gemini 2.5 Pro Preview 06-05 is developed by Google.

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