Claude Sonnet 5 vs Gemini Deep Research Max

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
Anthropic · activeClaude Sonnet 5Verified Aug 28, 2026
Google DeepMind · previewGemini Deep Research MaxVerified Aug 29, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldClaude Sonnet 5Gemini Deep Research Max
DeveloperAnthropicGoogle DeepMind
FamilyClaude 5Gemini Agents
ModelClaude Sonnet 5Gemini Deep Research Max
VersionClaude Sonnet 5Gemini Deep Research Max
Lifecycleactivepreview
Released2026-06-30Unknown
Knowledge cutoffUnknownUnknown
Input modalitiesText, ImageText, Image, Video, Audio, Document
Output modalitiesTextText, Image
Context window1,000,0001,048,576
Total parametersUnknownUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoNo
API availableYesYes
Self-hostableNoNo
Provider accessAnthropic (Standard), Deepinfra (Standard), Openrouter (Standard)Google AI (Standard)
Capabilitieschat, generation, reasoning, toolsgeneration, reasoning, research, tools

13 comparable fields · 10 material differences · Pair passes the primary-source comparison gate

Claude Sonnet 5 Capabilities

chatgenerationreasoningtools
Input price$2.00
Output price$10.00
Serving providers3
Canonical IDanthropic/claude-sonnet-5

Gemini Deep Research Max Capabilities

generationreasoningresearchtools
Input price
Output price
Serving providers1
Canonical IDgoogle-deepmind/deep-research-max-preview-04-2026

Internal Comparison Graph

Related Comparisons

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Primary Evidence

Sources and Freshness

Questions

Claude Sonnet 5 vs Gemini Deep Research Max FAQs

Is Claude Sonnet 5 or Gemini Deep Research Max better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Claude Sonnet 5 and Gemini Deep Research Max, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Claude Sonnet 5 or Gemini Deep Research Max?+

Only Claude Sonnet 5 has a directly sourced input price: $2.00 per million tokens. Only Claude Sonnet 5 has a directly sourced output price: $10.00 per million tokens.

Which has a larger context window, Claude Sonnet 5 or Gemini Deep Research Max?+

Gemini Deep Research Max has the larger sourced context window. Claude Sonnet 5 supports 1,000,000 and Gemini Deep Research Max supports 1,048,576.

Which performs better in benchmarks, Claude Sonnet 5 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 Claude Sonnet 5 or Gemini Deep Research Max be self-hosted?+

Both models have the same recorded self-hosting status: unsupported. Claude Sonnet 5 is not marked open weight; Gemini Deep Research Max is not marked open weight.

Can Claude Sonnet 5 and Gemini Deep Research Max understand images?+

Claude Sonnet 5 is 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, Claude Sonnet 5 or Gemini Deep Research Max?+

Claude Sonnet 5 has the larger sourced maximum output: Claude Sonnet 5 supports 128,000 and Gemini Deep Research Max supports 65,536 output tokens.

Do Claude Sonnet 5 and Gemini Deep Research Max support reasoning and tool use?+

Claude Sonnet 5: reasoning, tool calling, and image input. Gemini Deep Research Max: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Claude Sonnet 5 or Gemini Deep Research Max?+

Claude Sonnet 5 has 3 sourced provider routes; Gemini Deep Research Max has 1, so Claude Sonnet 5 has broader tracked availability.

Which offers better value, Claude Sonnet 5 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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