Model Comparison

Gemini 3.1 Pro vs DeepSeek-V4-Flash-MaxWhich is better in 2026?

Gemini 3.1 Pro significantly outperforms across most benchmarks. DeepSeek-V4-Flash-Max is 32.1x cheaper per token.

Verdict: Gemini 3.1 Pro vs DeepSeek-V4-Flash-Max — which is better?

Gemini 3.1 Pro (by Google) and DeepSeek-V4-Flash-Max (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 7 benchmarks (BrowseComp, GPQA, Humanity's Last Exam, MCP Atlas, SWE-Bench Pro, SWE-Bench Verified, Terminal-Bench 2.0), while DeepSeek-V4-Flash-Max is better at 1 benchmark (GDPval-AA). Gemini 3.1 Pro significantly outperforms across most benchmarks.

On price, DeepSeek-V4-Flash-Max is roughly 32.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Choose Gemini 3.1 Pro if…

  • you want the strongest raw capability — it leads on 7 of 8 shared benchmarks

Choose DeepSeek-V4-Flash-Max if…

  • cost matters — it's about 32.1x cheaper per token
  • you want the most recent training data — it shipped Apr 2026
  • you need open weights you can self-host or fine-tune
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Performance Benchmarks

Comparative analysis across standard metrics

8 benchmarks

Gemini 3.1 Pro outperforms in 7 benchmarks (BrowseComp, GPQA, Humanity's Last Exam, MCP Atlas, SWE-Bench Pro, SWE-Bench Verified, Terminal-Bench 2.0), while DeepSeek-V4-Flash-Max is better at 1 benchmark (GDPval-AA).

Gemini 3.1 Pro significantly outperforms across most benchmarks.

Mon Jun 08 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V4-Flash-Max costs less

For input processing, Gemini 3.1 Pro ($2.50/1M tokens) is 17.9x more expensive than DeepSeek-V4-Flash-Max ($0.14/1M tokens).

For output processing, Gemini 3.1 Pro ($15.00/1M tokens) is 53.6x more expensive than DeepSeek-V4-Flash-Max ($0.28/1M tokens).

In conclusion, Gemini 3.1 Pro is more expensive than DeepSeek-V4-Flash-Max.*

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

Lowest available price from all providers
Mon Jun 08 2026 • llm-stats.com
Google
Gemini 3.1 Pro
Input tokens$2.50
Output tokens$15.00
Best providerGoogle
DeepSeek
DeepSeek-V4-Flash-Max
Input tokens$0.14
Output tokens$0.28
Best providerDeepSeek
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Both models have the same input context window of 1,048,576 tokens. DeepSeek-V4-Flash-Max can generate longer responses up to 393,216 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-V4-Flash-Max
Input1,048,576 tokens
Output393,216 tokens
Mon Jun 08 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 3.1 Pro supports multimodal inputs, whereas DeepSeek-V4-Flash-Max 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-V4-Flash-Max

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.1 Pro is licensed under a proprietary license, while DeepSeek-V4-Flash-Max 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-V4-Flash-Max

MIT

Open weights

Release Timeline

When each model was launched

Gemini 3.1 Pro was released on 2026-02-19, while DeepSeek-V4-Flash-Max was released on 2026-04-23.

DeepSeek-V4-Flash-Max is 2 months newer than Gemini 3.1 Pro.

Gemini 3.1 Pro

Feb 19, 2026

3 months ago

DeepSeek-V4-Flash-Max

Apr 23, 2026

1 months ago

2mo newer

Knowledge Cutoff

When training data ends

Gemini 3.1 Pro has a documented knowledge cutoff of 2025-01-31, while DeepSeek-V4-Flash-Max'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-V4-Flash-Max's cutoff date.

Gemini 3.1 Pro

Jan 2025

DeepSeek-V4-Flash-Max

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Provider Availability

Gemini 3.1 Pro is available from Google. DeepSeek-V4-Flash-Max is available from DeepSeek.

Gemini 3.1 Pro

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

DeepSeek-V4-Flash-Max

deepseek logo
DeepSeek
Input Price:Input: $0.14/1MOutput Price:Output: $0.28/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Supports multimodal inputs
Higher BrowseComp score (85.9% vs 73.2%)
Higher GPQA score (94.3% vs 88.1%)
Higher Humanity's Last Exam score (51.4% vs 45.1%)
Higher MCP Atlas score (69.2% vs 69.0%)
Higher SWE-Bench Pro score (54.2% vs 52.6%)
Higher SWE-Bench Verified score (80.6% vs 79.0%)
Higher Terminal-Bench 2.0 score (68.5% vs 56.9%)
DeepSeek
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher GDPval-AA score (46.5% vs 43.9%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 3.1 Pro
DeepSeek
DeepSeek-V4-Flash-Max

FAQ

Common questions about Gemini 3.1 Pro vs DeepSeek-V4-Flash-Max.

Which is better, Gemini 3.1 Pro or DeepSeek-V4-Flash-Max?

Gemini 3.1 Pro significantly outperforms across most benchmarks. Gemini 3.1 Pro is made by Google and DeepSeek-V4-Flash-Max 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-V4-Flash-Max 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-V4-Flash-Max scores CodeForces: 100.0%, HMMT Feb 26: 94.8%, LiveCodeBench: 91.6%, IMO-AnswerBench: 88.4%, GPQA: 88.1%.

Is Gemini 3.1 Pro cheaper than DeepSeek-V4-Flash-Max?

DeepSeek-V4-Flash-Max is 17.9x cheaper for input tokens. Gemini 3.1 Pro costs $2.50/M input and $15.00/M output via google. DeepSeek-V4-Flash-Max costs $0.14/M input and $0.28/M output via deepseek.

What are the context window sizes for Gemini 3.1 Pro and DeepSeek-V4-Flash-Max?

Gemini 3.1 Pro supports 1.0M tokens and DeepSeek-V4-Flash-Max 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 Gemini 3.1 Pro and DeepSeek-V4-Flash-Max?

Key differences include input pricing ($2.50 vs $0.14/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-V4-Flash-Max?

Gemini 3.1 Pro is developed by Google and DeepSeek-V4-Flash-Max is developed by DeepSeek.

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