Gemini 3.1 Pro Preview vs DeepSeek V4 Pro

Gemini 3.1 Pro Preview from Google and DeepSeek V4 Pro from DeepSeek are shown side by side so you can compare pricing, model IDs, context and output limits, modalities, tool use, release details, and benchmark results where data is available.

Overall Recommendation

Gemini 3.1 Pro Preview is the stronger all-round default, leading DeepSeek V4 Pro on most published TokenHub benchmarks and supporting five input modalities. Choose DeepSeek for lower text-output cost and a 384K maximum output.

Recommendation based on Gemini 3.1 Pro Preview vs DeepSeek V4 Pro (Reasoning, Max Effort).

Comparison Highlights

Gemini 3.1 Pro PreviewGoogle
DeepSeek V4 ProDeepSeek
Best For
Multimodal reasoninggroundingmulti-step tool use
Long-context reasoningcodebase analysiscost control
How To Read ItUse-case synthesis from model capabilities and positioning.
Workload Fit
MultimodalAgentsGrounding
ReasoningCodingLong context
How To Read ItThe workloads each model is most directly shaped for.
Input
$2/M
$1.2857/MEdge
How To Read ItLower is better when prompts or retrieval payloads are large.
Output
$12/M
$3.8571/MEdge
How To Read ItLower is better for reasoning-heavy or long-generation traffic.
Context length
1M
1M
How To Read ItHigher is better for repositories, retrieval packs, and transcripts.
Input modalities
Audio, Image, PDF, Text, VideoEdge
Text
How To Read ItBroader input support reduces the need for separate vision or video models.

Model Selection Guide

Gemini 3.1 Pro PreviewGoogle

Choose Gemini 3.1 Pro Preview When

  • A 55.5 Coding Index plus 94.1 GPQA and 44.7 HLE scores in TokenHub
  • $2 input and $12 output per million tokens, with a 1.048M context window
  • The broadest input coverage here: text, image, video, audio, and PDF
DeepSeek V4 ProDeepSeek

Choose DeepSeek V4 Pro When

  • A 44.3 Intelligence Index and 47.5 Coding Index in TokenHub’s max-effort profile
  • $1.80 input and $3.50 output per million tokens
  • A 1M context window and 384K maximum output for text-only workloads

Basic Information

Gemini 3.1 Pro PreviewGoogle
DeepSeek V4 ProDeepSeek

Name

Gemini 3.1 Pro PreviewGemini 3.1 Pro Preview

Model id

Gemini 3.1 Pro Previewgemini-3.1-pro-preview

Intro

Gemini 3.1 Pro PreviewGemini 3.1 Pro Preview is presented as a reliability-focused refinement of Gemini 3 Pro. Google’s preview notes emphasize better thinking, token efficiency, grounding, factuality, software engineering, agentic tool use, and multi-step execution. The preview label matters: it should be described as an advanced but evolving model for teams testing the next Pro behavior.

Author

Gemini 3.1 Pro PreviewGoogle

Released date

Gemini 3.1 Pro Preview2026-02-19

Context length

Gemini 3.1 Pro Preview1M

Max output tokens

Gemini 3.1 Pro Preview65.5K

Name

DeepSeek V4 ProDeepSeek V4 Pro

Model id

DeepSeek V4 Prodeepseek-v4-pro

Intro

DeepSeek V4 ProDeepSeek V4 Pro is described as a large-scale Mixture-of-Experts model with 1.6T total parameters and 49B activated parameters, while keeping a 1M-token context window for very large inputs. Its model cards emphasize advanced reasoning, coding, and long-horizon agent workflows rather than simple chat. The Pro variant is the capability-oriented member of the V4 family, making it better suited to full-codebase analysis, large research synthesis, and multi-step automation where depth matters more than the lowest possible latency.

Author

DeepSeek V4 ProDeepSeek

Released date

DeepSeek V4 Pro2026-04-24

Context length

DeepSeek V4 Pro1M

Max output tokens

DeepSeek V4 Pro384K

Pricing

Gemini 3.1 Pro PreviewGoogle
DeepSeek V4 ProDeepSeek

Input

Gemini 3.1 Pro Preview$2/M

Output

Gemini 3.1 Pro Preview$12/M

Cached input

Gemini 3.1 Pro Preview$0.2/M

Input

DeepSeek V4 Pro$1.2857/M

Output

DeepSeek V4 Pro$3.8571/M

Cached input

DeepSeek V4 Pro$0.0429/M

Capabilities

Gemini 3.1 Pro PreviewGoogle
DeepSeek V4 ProDeepSeek

Reasoning

Gemini 3.1 Pro Preview

Knowledge

Gemini 3.1 Pro Preview2025-01-01

Attachment

Gemini 3.1 Pro Preview

Input modalities

Gemini 3.1 Pro PreviewAudio, Image, PDF, Text, Video

Output modalities

Gemini 3.1 Pro PreviewText

Temperature

Gemini 3.1 Pro Preview

Tool use

Gemini 3.1 Pro Preview

Reasoning

DeepSeek V4 Pro

Knowledge

DeepSeek V4 Pro2025-05-01

Attachment

DeepSeek V4 Pro

Input modalities

DeepSeek V4 ProText

Output modalities

DeepSeek V4 ProText

Temperature

DeepSeek V4 Pro

Tool use

DeepSeek V4 Pro

Benchmark

Gemini 3.1 Pro PreviewGoogle
DeepSeek V4 ProDeepSeek

Intelligence

wins46.5

Coding

wins55.5

Intelligence

44.3

Coding

47.5

Knowledge & Reasoning

GPQA

wins94.1%

HLE

wins44.7%

GPQA

88.8%

HLE

35.9%

Coding

SciCode

wins58.9%

Terminal-Bench Hard

wins53.8%

SciCode

50%

Terminal-Bench Hard

46.2%

Instruction Following & Agent Tasks

IFBench

wins77.1%

AA-LCR

wins72.7%

Tau2

95.6%

IFBench

76.5%

AA-LCR

66.3%

Tau2

wins96.2%

FAQ

Which model is better, Gemini 3.1 Pro Preview or DeepSeek V4 Pro?

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Gemini 3.1 Pro Preview and DeepSeek V4 Pro should be compared by workload. This page places price, context, output limits, capabilities, and benchmark data side by side. It is also relevant to: deepseek vs gemini.

Is DeepSeek V4 Pro cheaper than Gemini 3.1 Pro Preview?

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Use the pricing rows above to compare input, output, and cached input prices for Gemini 3.1 Pro Preview and DeepSeek V4 Pro.

Which model supports a longer context length?

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Gemini 3.1 Pro Preview lists 1M context length, while DeepSeek V4 Pro lists 1M.

Can I access both models through TokenHub?

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If both models are available in the TokenHub catalog, you can route requests to Gemini 3.1 Pro Preview and DeepSeek V4 Pro through the TokenHub API.