Claude Opus 4.6 vs Gemini Deep Research
At a Glance
| Compare | Claude Opus 4.6Anthropic |  Gemini Deep ResearchGoogle DeepMind |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #12 of 4676.2 score · 3/3 sources · complete | UnrankedNot in the 46-model eligible cohort |
| CostLower is better · Published-token output estimate | #33 of 44$0.241 per LiveBench case | UnrankedNot in the 44-model eligible cohort |
| EfficiencyHigher is better · MM Efficiency v1.5 | #19 of 3853.2 score · 3/3 sources · complete | UnrankedNot in the 38-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $5.00Anthropic ↗ · Sep 3, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $25.00Anthropic ↗ · Sep 3, 2026 | Not reported |
| Context windowMaximum documented tokens | 1,000K | 1,049K |
| Model facts checked | Sep 3, 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
Side-by-Side Facts
| Field | Claude Opus 4.6 | Gemini Deep Research |
|---|---|---|
| Developer | Anthropic | Google DeepMind |
| Family | Claude 4 | Gemini Agents |
| Model | Claude Opus 4.6 | Gemini Deep Research |
| Version | Claude Opus 4.6 | Gemini Deep Research |
| Lifecycle | active | preview |
| Released | 2026-02-05 | Unknown |
| Knowledge cutoff | 2025-05-01 | Unknown |
| Input modalities | Text, Image | Text, Image, Video, Audio, Document |
| Output modalities | Text | Text, Image |
| Context window | 1,000K | 1,049K |
| Total parameters | Unknown | Unknown |
| Active parameters | Unknown | Unknown |
| License | Unknown | Unknown |
| Open weights | No | No |
| API available | Yes | Yes |
| Self-hostable | No | No |
| Provider access | Anthropic (Standard) | Google AI (Standard), Google Gemini (Standard) |
| Capabilities | chat, generation, reasoning, structured_outputs, tools | generation, reasoning, research, tools |
Claude Opus 4.6 Capabilities
Gemini Deep Research Capabilities
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Primary Evidence
Sources and Freshness
Questions
Claude Opus 4.6 vs Gemini Deep Research FAQs
Is Claude Opus 4.6 or Gemini Deep Research better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Claude Opus 4.6 and Gemini Deep Research, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Claude Opus 4.6 or Gemini Deep Research?+
Only Claude Opus 4.6 has a directly sourced input price: $5.00 per million tokens. Only Claude Opus 4.6 has a directly sourced output price: $25.00 per million tokens.
Which has a larger context window, Claude Opus 4.6 or Gemini Deep Research?+
Gemini Deep Research has the larger sourced context window. Claude Opus 4.6 supports 1,000K and Gemini Deep Research supports 1,049K.
Which performs better in benchmarks, Claude Opus 4.6 or Gemini Deep Research?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Claude Opus 4.6 or Gemini Deep Research be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. Claude Opus 4.6 is not marked open weight; Gemini Deep Research is not marked open weight.
Can Claude Opus 4.6 and Gemini Deep Research understand images?+
Claude Opus 4.6 is documented with image input; Gemini Deep Research is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Claude Opus 4.6 or Gemini Deep Research?+
Claude Opus 4.6 has the larger sourced maximum output: Claude Opus 4.6 supports 128K and Gemini Deep Research supports 66K output tokens.
Do Claude Opus 4.6 and Gemini Deep Research support reasoning and tool use?+
Claude Opus 4.6: reasoning, tool calling, and image input. Gemini Deep Research: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Claude Opus 4.6 or Gemini Deep Research?+
Claude Opus 4.6 has 1 sourced provider route; Gemini Deep Research has 2, so Gemini Deep Research has broader tracked availability.
Which offers better value, Claude Opus 4.6 or Gemini Deep Research?+
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.