Make AI phone calls with one API call

Start for free

Model Comparison

Gemini 3.1 Pro vs DeepSeek-V4-Flash-Max

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

Want to compare interactively?Try the playground

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.

Fri Apr 24 2026 • llm-stats.com

Arena Performance

Human preference votes

CallingBox

Done comparing? Ship the phone agent.

One API for outbound and inbound calls.

Start for freeRead the docs
$0.05 /min all-in7 lines of code

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
Fri Apr 24 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
Fri Apr 24 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

2 months ago

DeepSeek-V4-Flash-Max

Apr 23, 2026

1 days 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

—

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

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