Gemini Deep Research Max vs NVIDIA Nemotron 3 Ultra 550B A55B BF16
At a Glance
| Compare |  Gemini Deep Research MaxGoogle DeepMind | |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #19 of 44$0.092 per LiveBench case |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $0.50Openrouter ↗ · Aug 29, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $2.20Openrouter ↗ · Aug 29, 2026 |
| Context windowMaximum documented tokens | 1,049K | 262K |
| Model facts checked | Aug 29, 2026View model evidence → | Aug 28, 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 Max | NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16 |
|---|---|---|
| Developer | Google DeepMind | NVIDIA |
| Family | Gemini Agents | Nvidia Nemotron 3 Ultra 550b A55b Bf16 |
| Model | Gemini Deep Research Max | NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16 |
| Version | Gemini Deep Research Max | NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16 |
| Lifecycle | preview | active |
| Released | Unknown | 2026-06-04 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Video, Audio, Document | Text |
| Output modalities | Text, Image | Text |
| Context window | 1,049K | 262K |
| Total parameters | Unknown | 560.5B |
| Active parameters | Unknown | 55B |
| License | Unknown | other |
| Open weights | No | Yes |
| API available | Yes | Yes |
| Self-hostable | No | Yes |
| Provider access | Google AI (Standard), Google Gemini (Standard) | Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard) |
| Capabilities | generation, reasoning, research, tools | chat, generation, reasoning, tools |
Gemini Deep Research Max Capabilities
NVIDIA Nemotron 3 Ultra 550B A55B BF16 Capabilities
Related Comparisons
All text comparisons →| A | Pair | B | Context |
|---|---|---|---|
Gemini Deep Research MaxGoogle DeepMind | vs |  GPT-6 AstraOpenAI | cross-developer peerstext |
Claude Fable 5.1Anthropic | vs | Gemini Deep Research MaxGoogle DeepMind | cross-developer peerstext |
Gemini Deep Research MaxGoogle DeepMind | vs | Gemini 3.1 ProGoogle DeepMind | family variantstext |
 DeepSeek-V4.1-FlashDeepSeek | vs | Gemini Deep Research MaxGoogle DeepMind | cross-developer peerstext |
Gemini Deep Research MaxGoogle DeepMind | vs | Grok 4.6xAI | cross-developer peerstext |
Gemini Deep Research MaxGoogle DeepMind | vs |  Qwen3.8-MaxQwen | cross-developer peerstext |
Gemini Deep Research MaxGoogle DeepMind | vs |  Kimi-K3Moonshot AI | cross-developer peerstext |
 MiniMax-M3MiniMax | vs | Gemini Deep Research MaxGoogle DeepMind | cross-developer peerstext |
Gemini Deep Research MaxGoogle DeepMind | vs |  GLM-5.3Z.ai | cross-developer peerstext |
Gemini Deep Research MaxGoogle DeepMind | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | Gemini Deep Research MaxGoogle DeepMind | cross-developer peerstext |
Gemini Deep Research MaxGoogle DeepMind | vs |  Mistral Large 3Mistral AI | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
Gemini Deep Research Max vs NVIDIA Nemotron 3 Ultra 550B A55B BF16 FAQs
Is Gemini Deep Research Max or NVIDIA Nemotron 3 Ultra 550B A55B BF16 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemini Deep Research Max and NVIDIA Nemotron 3 Ultra 550B A55B BF16, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Gemini Deep Research Max or NVIDIA Nemotron 3 Ultra 550B A55B BF16?+
Only NVIDIA Nemotron 3 Ultra 550B A55B BF16 has a directly sourced input price: $0.50 per million tokens. Only NVIDIA Nemotron 3 Ultra 550B A55B BF16 has a directly sourced output price: $2.20 per million tokens.
Which has a larger context window, Gemini Deep Research Max or NVIDIA Nemotron 3 Ultra 550B A55B BF16?+
Gemini Deep Research Max has the larger sourced context window. Gemini Deep Research Max supports 1,049K and NVIDIA Nemotron 3 Ultra 550B A55B BF16 supports 262K.
Which performs better in benchmarks, Gemini Deep Research Max or NVIDIA Nemotron 3 Ultra 550B A55B BF16?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Gemini Deep Research Max or NVIDIA Nemotron 3 Ultra 550B A55B BF16 be self-hosted?+
NVIDIA Nemotron 3 Ultra 550B A55B BF16 is the only model in this pair currently marked as self-hostable. Gemini Deep Research Max is not marked open weight; NVIDIA Nemotron 3 Ultra 550B A55B BF16 is open weight.
Can Gemini Deep Research Max and NVIDIA Nemotron 3 Ultra 550B A55B BF16 understand images?+
Gemini Deep Research Max is documented with image input; NVIDIA Nemotron 3 Ultra 550B A55B BF16 is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Gemini Deep Research Max or NVIDIA Nemotron 3 Ultra 550B A55B BF16?+
Neither has a larger sourced maximum output. Gemini Deep Research Max is 66K and NVIDIA Nemotron 3 Ultra 550B A55B BF16 is —.
Do Gemini Deep Research Max and NVIDIA Nemotron 3 Ultra 550B A55B BF16 support reasoning and tool use?+
Gemini Deep Research Max: reasoning, tool calling, and image input. NVIDIA Nemotron 3 Ultra 550B A55B BF16: reasoning and tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, Gemini Deep Research Max or NVIDIA Nemotron 3 Ultra 550B A55B BF16?+
Gemini Deep Research Max has 2 sourced provider routes; NVIDIA Nemotron 3 Ultra 550B A55B BF16 has 3, so NVIDIA Nemotron 3 Ultra 550B A55B BF16 has broader tracked availability.
Which offers better value, Gemini Deep Research Max or NVIDIA Nemotron 3 Ultra 550B A55B BF16?+
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.