Gemini Deep Research vs Sonar Deep Research
At a Glance
| Compare | Gemini Deep ResearchGoogle DeepMind | Sonar Deep ResearchPerplexity |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $2.00Openrouter ↗ · Oct 19, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $8.00Openrouter ↗ · Oct 19, 2026 |
| Context windowMaximum documented tokens | 1,049K | 128K |
| Model facts checked | Aug 29, 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 | Gemini Deep Research | Sonar Deep Research |
|---|---|---|
| Developer | Google DeepMind | Perplexity |
| Family | Gemini Agents | Sonar |
| Model | Gemini Deep Research | Sonar Deep Research |
| Version | Gemini Deep Research | Sonar Deep Research |
| Lifecycle | preview | active |
| Released | Unknown | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Video, Audio, Document | Text |
| Output modalities | Text, Image | Text |
| Context window | 1,049K | 128K |
| 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 | Google AI (Standard), Google Gemini (Standard) | Openrouter (Standard), Perplexity (Standard) |
| Capabilities | generation, reasoning, research, tools | chat, citations, reasoning, research, search |
Gemini Deep Research Capabilities
Sonar Deep Research Capabilities
Primary Evidence
Sources and Freshness
Questions
Gemini Deep Research vs Sonar Deep Research FAQs
Is Gemini Deep Research or Sonar Deep Research better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemini Deep Research and Sonar Deep Research, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Gemini Deep Research or Sonar Deep Research?+
Only Sonar Deep Research has a directly sourced input price: $2.00 per million tokens. Only Sonar Deep Research has a directly sourced output price: $8.00 per million tokens.
Which has a larger context window, Gemini Deep Research or Sonar Deep Research?+
Gemini Deep Research has the larger sourced context window. Gemini Deep Research supports 1,048,576 tokens and Sonar Deep Research supports 128,000 tokens.
Which performs better in benchmarks, Gemini Deep Research or Sonar Deep Research?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Gemini Deep Research or Sonar Deep Research be self-hosted?+
Both models have the same sourced self-hosting status: unsupported. Gemini Deep Research is not marked open weight; Sonar Deep Research is not marked open weight.
Can Gemini Deep Research and Sonar Deep Research understand images?+
Gemini Deep Research is documented with image input; Sonar Deep Research is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Gemini Deep Research or Sonar Deep Research?+
Gemini Deep Research has a sourced maximum output of 65,536 tokens; Sonar Deep Research's maximum output is not reported. A larger limit cannot be determined.
Do Gemini Deep Research and Sonar Deep Research support reasoning and tool use?+
Gemini Deep Research: reasoning, tool calling, and image input. Sonar Deep Research: reasoning. Feature support does not establish relative quality.
Which is available from more inference providers, Gemini Deep Research or Sonar Deep Research?+
Gemini Deep Research has 2 sourced provider routes; Sonar Deep Research has 2, a tie.
Which offers better value, Gemini Deep Research or Sonar 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.