DeepSeek V3 vs Gemini Deep Research Max

At a Glance

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DeepSeek V3DeepSeek
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.2574Openrouter · Aug 29, 2026Not reported
Output priceFrom · USD / 1M tokens$0.89Deepinfra · Sep 21, 2026Not reported
Context windowMaximum documented tokens164K1,049K
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-V3Gemini Deep Research Max
DeveloperDeepSeekGoogle DeepMind
FamilyDeepseek V3Gemini Agents
ModelDeepSeek-V3Gemini Deep Research Max
VersionDeepSeek-V3Gemini Deep Research Max
Lifecycleactivepreview
Released2024-12-26Unknown
Knowledge cutoffUnknownUnknown
Input modalitiesTextText, Image, Video, Audio, Document
Output modalitiesTextText, Image
Context window164K1,049K
Total parameters684.5BUnknown
Active parameters37BUnknown
LicenseUnknownUnknown
Open weightsYesNo
API availableYesYes
Self-hostableYesNo
Provider accessDeepinfra (Standard), Hugging Face (Standard), Openrouter (Standard)Google AI (Standard), Google Gemini (Standard)
Capabilitieschat, generationgeneration, reasoning, research, tools

DeepSeek V3 Capabilities

chatgeneration
Serving providers3
Canonical IDdeepseek-ai/DeepSeek-V3

Gemini Deep Research Max Capabilities

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

Primary Evidence

Sources and Freshness

Questions

DeepSeek V3 vs Gemini Deep Research Max FAQs

Is DeepSeek V3 or Gemini Deep Research Max better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V3 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 V3 or Gemini Deep Research Max?+

Only DeepSeek V3 has a directly sourced input price: $0.2574 per million tokens. Only DeepSeek V3 has a directly sourced output price: $0.89 per million tokens.

Which has a larger context window, DeepSeek V3 or Gemini Deep Research Max?+

Gemini Deep Research Max has the larger sourced context window. DeepSeek V3 supports 164K and Gemini Deep Research Max supports 1,049K.

Which performs better in benchmarks, DeepSeek V3 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 V3 or Gemini Deep Research Max be self-hosted?+

DeepSeek V3 is the only model in this pair currently marked as self-hostable. DeepSeek V3 is open weight; Gemini Deep Research Max is not marked open weight.

Can DeepSeek V3 and Gemini Deep Research Max understand images?+

DeepSeek V3 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 V3 or Gemini Deep Research Max?+

Neither has a larger sourced maximum output. DeepSeek V3 is — and Gemini Deep Research Max is 66K.

Do DeepSeek V3 and Gemini Deep Research Max support reasoning and tool use?+

DeepSeek V3: 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 V3 or Gemini Deep Research Max?+

DeepSeek V3 has 3 sourced provider routes; Gemini Deep Research Max has 2, so DeepSeek V3 has broader tracked availability.

Which offers better value, DeepSeek V3 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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