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deepseek-v4-pro vs gemini-3-1-pro

Pricing, Performance & Features Comparison

Authordeepseek
Context Length1M
Reasoning
Providers1
ReleasedApr 2026
Knowledge Cutoff
LicenseMIT License

Flagship Mixture-of-Experts model with 1.6T total parameters and 49B activated per token. Trained on 32T+ tokens with hybrid attention for efficient 1M context processing.

Input$1.7
Output$3.5
Latency (p50)3s
Output Limit384K
Function Calling
JSON Mode
-
InputText
OutputText
in$1.7out$3.5cache$0.15write$1.7
Latency (24h)
Success Rate (24h)
Authorgoogle
Context Length1M
Reasoning
Providers1
ReleasedFeb 2026
Knowledge CutoffJan 2025
License

Gemini 3.1 Pro is the next iteration in the Gemini 3 series of highly capable, natively multimodal reasoning models. As Google's most advanced model for complex tasks, it can comprehend vast datasets and challenging problems from sources including text, audio, images, video, and entire code repositories with a 1M token context window. Built to refine the performance and reliability of the Gemini 3 Pro series, it provides better thinking, improved token efficiency, and a more grounded, factually consistent experience.

Input$2
Output$12
Latency (p50)4.6s
Output Limit66K
Function Calling
JSON Mode
InputText, Image, Audio, Video
OutputText
in$2out$12
Latency (24h)
Success Rate (24h)