DeepSeek R1 vs Gemini Deep Research Max

At a Glance

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DeepSeek R1DeepSeek
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.70Openrouter · Aug 28, 2026Not reported
Output priceFrom · USD / 1M tokens$2.50Openrouter · Aug 28, 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-R1Gemini Deep Research Max
DeveloperDeepSeekGoogle DeepMind
FamilyDeepseek R1Gemini Agents
ModelDeepSeek-R1Gemini Deep Research Max
VersionDeepSeek-R1Gemini Deep Research Max
Lifecycleactivepreview
Released2025-01-20Unknown
Knowledge cutoffUnknownUnknown
Input modalitiesTextText, Image, Video, Audio, Document
Output modalitiesTextText, Image
Context window164K1,049K
Total parameters684.5BUnknown
Active parameters37BUnknown
LicensemitUnknown
Open weightsYesNo
API availableYesYes
Self-hostableYesNo
Provider accessHugging Face (Standard), Openrouter (Standard)Google AI (Standard), Google Gemini (Standard)
Capabilitieschat, generation, reasoninggeneration, reasoning, research, tools

DeepSeek R1 Capabilities

chatgenerationreasoning
Serving providers2
Canonical IDdeepseek-ai/DeepSeek-R1

Gemini Deep Research Max Capabilities

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

Primary Evidence

Sources and Freshness

Questions

DeepSeek R1 vs Gemini Deep Research Max FAQs

Is DeepSeek R1 or Gemini Deep Research Max better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek R1 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 R1 or Gemini Deep Research Max?+

Only DeepSeek R1 has a directly sourced input price: $0.70 per million tokens. Only DeepSeek R1 has a directly sourced output price: $2.50 per million tokens.

Which has a larger context window, DeepSeek R1 or Gemini Deep Research Max?+

Gemini Deep Research Max has the larger sourced context window. DeepSeek R1 supports 164K and Gemini Deep Research Max supports 1,049K.

Which performs better in benchmarks, DeepSeek R1 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 R1 or Gemini Deep Research Max be self-hosted?+

DeepSeek R1 is the only model in this pair currently marked as self-hostable. DeepSeek R1 is open weight; Gemini Deep Research Max is not marked open weight.

Can DeepSeek R1 and Gemini Deep Research Max understand images?+

DeepSeek R1 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 R1 or Gemini Deep Research Max?+

Gemini Deep Research Max has the larger sourced maximum output: DeepSeek R1 supports 33K and Gemini Deep Research Max supports 66K output tokens.

Do DeepSeek R1 and Gemini Deep Research Max support reasoning and tool use?+

DeepSeek R1: reasoning. 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 R1 or Gemini Deep Research Max?+

DeepSeek R1 has 2 sourced provider routes; Gemini Deep Research Max has 2, a tie.

Which offers better value, DeepSeek R1 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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