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DeepSeek V4 vs Gemini 3.1 Flash-Lite

DeepSeek V4 (2026) and Gemini 3.1 Flash-Lite (2026) are frontier reasoning models from DeepSeek and Google DeepMind. DeepSeek V4 ships a 1M-token context window, while Gemini 3.1 Flash-Lite ships a 1M-token context window. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing. The goal is to make the tradeoff clear before deeper testing.

Gemini 3.1 Flash-Lite is safer overall; choose DeepSeek V4 when reasoning depth matters.

Specs

Specification
Released2026-04-242026-05-07
Context window1M1M
Parameters1.6T
Architecturemixture of expertsdecoder only
LicenseMITProprietary
Knowledge cutoff-2025-01

Pricing and availability

Pricing attributeDeepSeek V4Gemini 3.1 Flash-Lite
Input price-$0.25/1M tokens
Output price-$1.5/1M tokens
Providers-

Capabilities

CapabilityDeepSeek V4Gemini 3.1 Flash-Lite
VisionNoYes
MultimodalNoYes
ReasoningYesNo
Function callingYesYes
Tool useYesYes
Structured outputsYesYes
Code executionNoYes

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on vision: Gemini 3.1 Flash-Lite, multimodal input: Gemini 3.1 Flash-Lite, reasoning mode: DeepSeek V4, and code execution: Gemini 3.1 Flash-Lite. Both models share function calling, tool use, and structured outputs, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.

Pricing coverage is uneven: DeepSeek V4 has no token price sourced yet and Gemini 3.1 Flash-Lite has $0.25/1M input tokens. Provider availability is 0 tracked routes versus 2. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose DeepSeek V4 when reasoning depth are central to the workload. Choose Gemini 3.1 Flash-Lite when coding workflow support, larger context windows, and broader provider choice are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency.

FAQ

Which has a larger context window, DeepSeek V4 or Gemini 3.1 Flash-Lite?

Gemini 3.1 Flash-Lite supports 1M tokens, while DeepSeek V4 supports 1M tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Is DeepSeek V4 or Gemini 3.1 Flash-Lite open source?

DeepSeek V4 is listed under MIT. Gemini 3.1 Flash-Lite is listed under Proprietary. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.

Which is better for vision, DeepSeek V4 or Gemini 3.1 Flash-Lite?

Gemini 3.1 Flash-Lite has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for multimodal input, DeepSeek V4 or Gemini 3.1 Flash-Lite?

Gemini 3.1 Flash-Lite has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for reasoning mode, DeepSeek V4 or Gemini 3.1 Flash-Lite?

DeepSeek V4 has the clearer documented reasoning mode signal in this comparison. If reasoning mode is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Where can I run DeepSeek V4 and Gemini 3.1 Flash-Lite?

DeepSeek V4 is available on the tracked providers still being sourced. Gemini 3.1 Flash-Lite is available on Google AI Studio and OpenRouter. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.