Model Comparison

Gemini 3.1 Pro vs DeepSeek R1 Distill Llama 70BWhich is better in 2026?

Gemini 3.1 Pro significantly outperforms across most benchmarks. DeepSeek R1 Distill Llama 70B is 32.1x cheaper per token.

Verdict: Gemini 3.1 Pro vs DeepSeek R1 Distill Llama 70B — which is better?

Gemini 3.1 Pro (by Google) and DeepSeek R1 Distill Llama 70B (by DeepSeek) 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.

Gemini 3.1 Pro outperforms in 1 benchmarks (GPQA), while DeepSeek R1 Distill Llama 70B is better at 0 benchmarks. Gemini 3.1 Pro significantly outperforms across most benchmarks.

On price, DeepSeek R1 Distill Llama 70B is roughly 32.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 3.1 Pro also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Choose Gemini 3.1 Pro if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Feb 2026

Choose DeepSeek R1 Distill Llama 70B if…

  • cost matters — it's about 32.1x cheaper per token
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Gemini 3.1 Pro outperforms in 1 benchmarks (GPQA), while DeepSeek R1 Distill Llama 70B is better at 0 benchmarks.

Gemini 3.1 Pro significantly outperforms across most benchmarks.

Sat Jun 06 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek R1 Distill Llama 70B costs less

For input processing, Gemini 3.1 Pro ($2.50/1M tokens) is 25.0x more expensive than DeepSeek R1 Distill Llama 70B ($0.10/1M tokens).

For output processing, Gemini 3.1 Pro ($15.00/1M tokens) is 37.5x more expensive than DeepSeek R1 Distill Llama 70B ($0.40/1M tokens).

In conclusion, Gemini 3.1 Pro is more expensive than DeepSeek R1 Distill Llama 70B.*

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

Lowest available price from all providers
Sat Jun 06 2026 • llm-stats.com
Google
Gemini 3.1 Pro
Input tokens$2.50
Output tokens$15.00
Best providerGoogle
DeepSeek
DeepSeek R1 Distill Llama 70B
Input tokens$0.10
Output tokens$0.40
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

Gemini 3.1 Pro accepts 1,048,576 input tokens compared to DeepSeek R1 Distill Llama 70B's 128,000 tokens. DeepSeek R1 Distill Llama 70B can generate longer responses up to 128,000 tokens, while Gemini 3.1 Pro is limited to 65,536 tokens.

Google
Gemini 3.1 Pro
Input1,048,576 tokens
Output65,536 tokens
DeepSeek
DeepSeek R1 Distill Llama 70B
Input128,000 tokens
Output128,000 tokens
Sat Jun 06 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 3.1 Pro supports multimodal inputs, whereas DeepSeek R1 Distill Llama 70B does not.

Gemini 3.1 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 3.1 Pro

Text
Images
Audio
Video

DeepSeek R1 Distill Llama 70B

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.1 Pro is licensed under a proprietary license, while DeepSeek R1 Distill Llama 70B uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

Gemini 3.1 Pro

Proprietary

Closed source

DeepSeek R1 Distill Llama 70B

MIT

Open weights

Release Timeline

When each model was launched

Gemini 3.1 Pro was released on 2026-02-19, while DeepSeek R1 Distill Llama 70B was released on 2025-01-20.

Gemini 3.1 Pro is 13 months newer than DeepSeek R1 Distill Llama 70B.

Gemini 3.1 Pro

Feb 19, 2026

3 months ago

1.1yr newer
DeepSeek R1 Distill Llama 70B

Jan 20, 2025

1.4 years ago

Knowledge Cutoff

When training data ends

Gemini 3.1 Pro has a documented knowledge cutoff of 2025-01-31, while DeepSeek R1 Distill Llama 70B's cutoff date is not specified.

We can confirm Gemini 3.1 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without DeepSeek R1 Distill Llama 70B's cutoff date.

Gemini 3.1 Pro

Jan 2025

DeepSeek R1 Distill Llama 70B

Provider Availability

Gemini 3.1 Pro is available from Google. DeepSeek R1 Distill Llama 70B is available from DeepInfra.

Gemini 3.1 Pro

google logo
Google
Input Price:Input: $2.50/1MOutput Price:Output: $15.00/1M

DeepSeek R1 Distill Llama 70B

deepinfra logo
Deepinfra
Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Larger context window (1,048,576 tokens)
Supports multimodal inputs
Higher GPQA score (94.3% vs 65.2%)
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 3.1 Pro
DeepSeek
DeepSeek R1 Distill Llama 70B

FAQ

Common questions about Gemini 3.1 Pro vs DeepSeek R1 Distill Llama 70B.

Which is better, Gemini 3.1 Pro or DeepSeek R1 Distill Llama 70B?

Gemini 3.1 Pro significantly outperforms across most benchmarks. Gemini 3.1 Pro is made by Google and DeepSeek R1 Distill Llama 70B is made by DeepSeek. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini 3.1 Pro compare to DeepSeek R1 Distill Llama 70B in benchmarks?

Gemini 3.1 Pro scores t2-bench: 99.3%, LiveCodeBench Pro: 96.2%, GPQA: 94.3%, MMMLU: 92.6%, BrowseComp: 85.9%. DeepSeek R1 Distill Llama 70B scores MATH-500: 94.5%, AIME 2024: 86.7%, GPQA: 65.2%, LiveCodeBench: 57.5%.

Is Gemini 3.1 Pro cheaper than DeepSeek R1 Distill Llama 70B?

DeepSeek R1 Distill Llama 70B is 25.0x cheaper for input tokens. Gemini 3.1 Pro costs $2.50/M input and $15.00/M output via google. DeepSeek R1 Distill Llama 70B costs $0.10/M input and $0.40/M output via deepinfra.

What are the context window sizes for Gemini 3.1 Pro and DeepSeek R1 Distill Llama 70B?

Gemini 3.1 Pro supports 1.0M tokens and DeepSeek R1 Distill Llama 70B supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 3.1 Pro and DeepSeek R1 Distill Llama 70B?

Key differences include context window (1.0M vs 128K), input pricing ($2.50 vs $0.10/M), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.1 Pro and DeepSeek R1 Distill Llama 70B?

Gemini 3.1 Pro is developed by Google and DeepSeek R1 Distill Llama 70B is developed by DeepSeek.