Olmo 3 32B Think vs Gemini Deep Research
At a Glance
| Compare |  Gemini Deep ResearchGoogle DeepMind | |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.15Openrouter ↗ · Aug 28, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $0.50Openrouter ↗ · Aug 28, 2026 | Not reported |
| Context windowMaximum documented tokens | 66K | 1,049K |
| Model facts checked | Aug 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
Side-by-Side Facts
| Field | Olmo-3-32B-Think | Gemini Deep Research |
|---|---|---|
| Developer | Ai2 | Google DeepMind |
| Family | Olmo 3 32b Think | Gemini Agents |
| Model | Olmo-3-32B-Think | Gemini Deep Research |
| Version | Olmo-3-32B-Think | Gemini Deep Research |
| Lifecycle | active | preview |
| Released | Unknown | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image, Video, Audio, Document |
| Output modalities | Text | Text, Image |
| Context window | 66K | 1,049K |
| Total parameters | 32.2B | Unknown |
| Active parameters | Unknown | Unknown |
| License | apache-2.0 | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | Openrouter (Standard) | Google AI (Standard), Google Gemini (Standard) |
| Capabilities | chat, generation, reasoning | generation, reasoning, research, tools |
Olmo 3 32B Think Capabilities
Gemini Deep Research Capabilities
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Primary Evidence
Sources and Freshness
Questions
Olmo 3 32B Think vs Gemini Deep Research FAQs
Is Olmo 3 32B Think or Gemini Deep Research better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Olmo 3 32B Think and Gemini Deep Research, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Olmo 3 32B Think or Gemini Deep Research?+
Only Olmo 3 32B Think has a directly sourced input price: $0.15 per million tokens. Only Olmo 3 32B Think has a directly sourced output price: $0.50 per million tokens.
Which has a larger context window, Olmo 3 32B Think or Gemini Deep Research?+
Gemini Deep Research has the larger sourced context window. Olmo 3 32B Think supports 66K and Gemini Deep Research supports 1,049K.
Which performs better in benchmarks, Olmo 3 32B Think 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 Olmo 3 32B Think or Gemini Deep Research be self-hosted?+
Olmo 3 32B Think is the only model in this pair currently marked as self-hostable. Olmo 3 32B Think is open weight; Gemini Deep Research is not marked open weight.
Can Olmo 3 32B Think and Gemini Deep Research understand images?+
Olmo 3 32B Think is not 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, Olmo 3 32B Think or Gemini Deep Research?+
Gemini Deep Research has the larger sourced maximum output: Olmo 3 32B Think supports 33K and Gemini Deep Research supports 66K output tokens.
Do Olmo 3 32B Think and Gemini Deep Research support reasoning and tool use?+
Olmo 3 32B Think: reasoning. Gemini Deep Research: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Olmo 3 32B Think or Gemini Deep Research?+
Olmo 3 32B Think has 1 sourced provider route; Gemini Deep Research has 2, so Gemini Deep Research has broader tracked availability.
Which offers better value, Olmo 3 32B Think 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.