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
Gemini 3.1 Pro Preview vs DeepSeek V4 Flash
Gemini 3.1 Pro Preview from Google and DeepSeek V4 Flash 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 capability and multimodal default, with substantially stronger published benchmarks and five input modalities. Choose DeepSeek V4 Flash when ultra-low cost and throughput dominate the decision.
Recommendation based on Gemini 3.1 Pro Preview vs DeepSeek V4 Flash (Reasoning, Max Effort).
Comparison Highlights
Gemini 3.1 Pro PreviewGoogle
DeepSeek V4 FlashDeepSeek
Best For
Multimodal reasoninggroundingmulti-step tool use
High-throughputcost-sensitive long-context workloads
How To Read ItUse-case synthesis from model capabilities and positioning.
Workload Fit
MultimodalAgentsGrounding
ThroughputLow costLong context
How To Read ItThe workloads each model is most directly shaped for.
Input
$2/M
$0.4286/MEdge
How To Read ItLower is better when prompts or retrieval payloads are large.
Output
$12/M
$1.2857/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
Choose DeepSeek V4 Flash When
- The lowest listed price: $0.15 input and $0.30 output per million tokens
- A 40.3 Intelligence Index and 38.7 Coding Index in TokenHub’s max-effort profile
- A 1M context window and 384K maximum output for high-volume text workloads
Basic Information
Gemini 3.1 Pro PreviewGoogle
DeepSeek V4 FlashDeepSeek
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 FlashDeepSeek V4 Flash
Model id
DeepSeek V4 Flashdeepseek-v4-flash
Intro
DeepSeek V4 FlashDeepSeek V4 Flash keeps the V4 family’s 1M-token context window but uses a lighter MoE configuration, commonly described as 284B total parameters with 13B activated parameters. The emphasis is throughput: fast inference, lower cost per call, and production workloads that still need long-context handling. It is the better fit when the task volume is high and the workload benefits from V4-style long-context architecture without always requiring the deepest reasoning tier.
Author
DeepSeek V4 FlashDeepSeek
Released date
DeepSeek V4 Flash2026-04-24
Context length
DeepSeek V4 Flash1M
Max output tokens
DeepSeek V4 Flash384K
Name
Gemini 3.1 Pro PreviewGemini 3.1 Pro Preview
Name
DeepSeek V4 FlashDeepSeek V4 Flash
Model id
Gemini 3.1 Pro Previewgemini-3.1-pro-preview
Model id
DeepSeek V4 Flashdeepseek-v4-flash
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.
Intro
DeepSeek V4 FlashDeepSeek V4 Flash keeps the V4 family’s 1M-token context window but uses a lighter MoE configuration, commonly described as 284B total parameters with 13B activated parameters. The emphasis is throughput: fast inference, lower cost per call, and production workloads that still need long-context handling. It is the better fit when the task volume is high and the workload benefits from V4-style long-context architecture without always requiring the deepest reasoning tier.
Author
Gemini 3.1 Pro PreviewGoogle
Author
DeepSeek V4 FlashDeepSeek
Released date
Gemini 3.1 Pro Preview2026-02-19
Released date
DeepSeek V4 Flash2026-04-24
Context length
Gemini 3.1 Pro Preview1M
Context length
DeepSeek V4 Flash1M
Max output tokens
Gemini 3.1 Pro Preview65.5K
Max output tokens
DeepSeek V4 Flash384K
Pricing
Gemini 3.1 Pro PreviewGoogle
DeepSeek V4 FlashDeepSeek
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 Flash$0.4286/M
Output
DeepSeek V4 Flash$1.2857/M
Cached input
DeepSeek V4 Flash$0.0143/M
Input
Gemini 3.1 Pro Preview$2/M
Input
DeepSeek V4 Flash$0.4286/M
Output
Gemini 3.1 Pro Preview$12/M
Output
DeepSeek V4 Flash$1.2857/M
Cached input
Gemini 3.1 Pro Preview$0.2/M
Cached input
DeepSeek V4 Flash$0.0143/M
Capabilities
Gemini 3.1 Pro PreviewGoogle
DeepSeek V4 FlashDeepSeek
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 Flash
Knowledge
DeepSeek V4 Flash2025-05-01
Attachment
DeepSeek V4 Flash
Input modalities
DeepSeek V4 FlashText
Output modalities
DeepSeek V4 FlashText
Temperature
DeepSeek V4 Flash
Tool use
DeepSeek V4 Flash
Reasoning
Gemini 3.1 Pro Preview
Reasoning
DeepSeek V4 Flash
Knowledge
Gemini 3.1 Pro Preview2025-01-01
Knowledge
DeepSeek V4 Flash2025-05-01
Attachment
Gemini 3.1 Pro Preview
Attachment
DeepSeek V4 Flash
Input modalities
Gemini 3.1 Pro PreviewAudio, Image, PDF, Text, Video
Input modalities
DeepSeek V4 FlashText
Output modalities
Gemini 3.1 Pro PreviewText
Output modalities
DeepSeek V4 FlashText
Temperature
Gemini 3.1 Pro Preview
Temperature
DeepSeek V4 Flash
Tool use
Gemini 3.1 Pro Preview
Tool use
DeepSeek V4 Flash
Benchmark
Gemini 3.1 Pro PreviewGoogle
DeepSeek V4 FlashDeepSeek
Intelligence
wins46.5
Coding
wins55.5
Intelligence
40.3
Coding
38.7
Knowledge & Reasoning
GPQA
wins94.1%
HLE
wins44.7%
GPQA
89.4%
HLE
32.1%
Coding
SciCode
wins58.9%
Terminal-Bench Hard
wins53.8%
SciCode
44.9%
Terminal-Bench Hard
35.6%
Instruction Following & Agent Tasks
IFBench
77.1%
AA-LCR
wins72.7%
Tau2
wins95.6%
IFBench
wins79.2%
AA-LCR
63%
Tau2
95.0%
FAQ
Which model is better, Gemini 3.1 Pro Preview or DeepSeek V4 Flash?
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Gemini 3.1 Pro Preview and DeepSeek V4 Flash 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 Flash 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 Flash.
Which model supports a longer context length?
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Gemini 3.1 Pro Preview lists 1M context length, while DeepSeek V4 Flash 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 Flash through the TokenHub API.