DeepSeek-V4-Flash vs Gemini 3.1 Flash-Lite

Benchmark Performance

Available Benchmarks

No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.
FieldAt a Glance
DeepSeek · activeDeepSeek-V4-FlashVerified Aug 28, 2026
Google DeepMind · activeGemini 3.1 Flash-LiteVerified Aug 29, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldDeepSeek-V4-FlashGemini 3.1 Flash-Lite
DeveloperDeepSeekGoogle DeepMind
FamilyDeepseek V4 FlashGemini 3
ModelDeepSeek-V4-FlashGemini 3.1 Flash-Lite
VersionDeepSeek-V4-FlashGemini 3.1 Flash-Lite
Lifecycleactiveactive
Released2026-04-24Unknown
Knowledge cutoffUnknownUnknown
Input modalitiesTextText, Image, Video, Audio, Document
Output modalitiesTextText
Context window1,048,5761,048,576
Total parameters290,944,616,402Unknown
Active parameters13,000,000,000Unknown
LicensemitUnknown
Open weightsYesNo
API availableYesYes
Self-hostableYesNo
Provider accessDeepSeek (Standard), Deepinfra (Standard), Openrouter (Standard)Google AI (Standard)
Capabilitieschat, generation, reasoningchat, generation, reasoning, tools

13 comparable fields · 9 material differences · Pair passes the primary-source comparison gate

DeepSeek-V4-Flash Capabilities

chatgenerationreasoning
Input price$0.0868
Output price$0.1736
Serving providers3
Canonical IDdeepseek-ai/DeepSeek-V4-Flash

Gemini 3.1 Flash-Lite Capabilities

chatgenerationreasoningtools
Input price$0.25
Output price$1.50
Serving providers1
Canonical IDgoogle-deepmind/gemini-3.1-flash-lite

Internal Comparison Graph

Related Comparisons

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Primary Evidence

Sources and Freshness

Questions

DeepSeek-V4-Flash vs Gemini 3.1 Flash-Lite FAQs

Is DeepSeek-V4-Flash or Gemini 3.1 Flash-Lite better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek-V4-Flash and Gemini 3.1 Flash-Lite, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, DeepSeek-V4-Flash or Gemini 3.1 Flash-Lite?+

DeepSeek-V4-Flash is $0.0868 and Gemini 3.1 Flash-Lite is $0.25 per million tokens, so DeepSeek-V4-Flash is cheaper on this metric. DeepSeek-V4-Flash is $0.1736 and Gemini 3.1 Flash-Lite is $1.50 per million tokens, so DeepSeek-V4-Flash is cheaper on this metric.

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

Neither model has a larger sourced context window in this comparison. DeepSeek-V4-Flash is 1,048,576 and Gemini 3.1 Flash-Lite is 1,048,576.

Which performs better in benchmarks, DeepSeek-V4-Flash or Gemini 3.1 Flash-Lite?+

There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.

Can DeepSeek-V4-Flash or Gemini 3.1 Flash-Lite be self-hosted?+

DeepSeek-V4-Flash is the only model in this pair currently marked as self-hostable. DeepSeek-V4-Flash is open weight; Gemini 3.1 Flash-Lite is not marked open weight.

Can DeepSeek-V4-Flash and Gemini 3.1 Flash-Lite understand images?+

DeepSeek-V4-Flash is not documented with image input; Gemini 3.1 Flash-Lite is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, DeepSeek-V4-Flash or Gemini 3.1 Flash-Lite?+

Neither has a larger sourced maximum output. DeepSeek-V4-Flash is — and Gemini 3.1 Flash-Lite is 65,536.

Do DeepSeek-V4-Flash and Gemini 3.1 Flash-Lite support reasoning and tool use?+

DeepSeek-V4-Flash: reasoning. Gemini 3.1 Flash-Lite: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, DeepSeek-V4-Flash or Gemini 3.1 Flash-Lite?+

DeepSeek-V4-Flash has 3 sourced provider routes; Gemini 3.1 Flash-Lite has 1, so DeepSeek-V4-Flash has broader tracked availability.

Which offers better value, DeepSeek-V4-Flash or Gemini 3.1 Flash-Lite?+

There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.

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