DeepSeek V4 Flash Base vs Gemini Deep Research Max

At a Glance

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Pricing and Limits
Context windowMaximum documented tokens1,049K1,049K
Model facts checkedAug 28, 2026View model evidence →Aug 29, 2026View model evidence →

Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →

Available Benchmarks

All benchmark results →
No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.

Side-by-Side Facts

FieldDeepSeek-V4-Flash-BaseGemini Deep Research Max
DeveloperDeepSeekGoogle DeepMind
FamilyDeepseek V4 Flash BaseGemini Agents
ModelDeepSeek-V4-Flash-BaseGemini Deep Research Max
VersionDeepSeek-V4-Flash-BaseGemini Deep Research Max
Lifecycleactivepreview
Released2026-04-24Unknown
Knowledge cutoffUnknownUnknown
Input modalitiesTextText, Image, Video, Audio, Document
Output modalitiesTextText, Image
Context window1,049K1,049K
Total parameters292BUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsYesNo
API availableUnknownYes
Self-hostableYesNo
Provider accessUnknownGoogle AI (Standard), Google Gemini (Standard)
Capabilitiesgenerationgeneration, reasoning, research, tools

DeepSeek V4 Flash Base Capabilities

generation
Serving providers0
Canonical IDdeepseek-ai/DeepSeek-V4-Flash-Base

Gemini Deep Research Max Capabilities

generationreasoningresearchtools
Serving providers2
Canonical IDgoogle-deepmind/deep-research-max-preview-04-2026

Primary Evidence

Sources and Freshness

Questions

DeepSeek V4 Flash Base vs Gemini Deep Research Max FAQs

Is DeepSeek V4 Flash Base or Gemini Deep Research Max better for coding?+

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

Which is cheaper, DeepSeek V4 Flash Base or Gemini Deep Research Max?+

Neither model has a directly sourced input price in this comparison. Neither model has a directly sourced output price in this comparison.

Which has a larger context window, DeepSeek V4 Flash Base or Gemini Deep Research Max?+

Neither model has a larger sourced context window in this comparison. DeepSeek V4 Flash Base is 1,049K and Gemini Deep Research Max is 1,049K.

Which performs better in benchmarks, DeepSeek V4 Flash Base or Gemini Deep Research Max?+

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

Can DeepSeek V4 Flash Base or Gemini Deep Research Max be self-hosted?+

DeepSeek V4 Flash Base is the only model in this pair currently marked as self-hostable. DeepSeek V4 Flash Base is open weight; Gemini Deep Research Max is not marked open weight.

Can DeepSeek V4 Flash Base and Gemini Deep Research Max understand images?+

DeepSeek V4 Flash Base is not documented with image input; Gemini Deep Research Max is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, DeepSeek V4 Flash Base or Gemini Deep Research Max?+

Neither has a larger sourced maximum output. DeepSeek V4 Flash Base is — and Gemini Deep Research Max is 66K.

Do DeepSeek V4 Flash Base and Gemini Deep Research Max support reasoning and tool use?+

DeepSeek V4 Flash Base: none of these features are definitively sourced. Gemini Deep Research Max: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, DeepSeek V4 Flash Base or Gemini Deep Research Max?+

DeepSeek V4 Flash Base has 0 sourced provider routes; Gemini Deep Research Max has 2, so Gemini Deep Research Max has broader tracked availability.

Which offers better value, DeepSeek V4 Flash Base or Gemini Deep Research Max?+

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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