Command A Plus 05 2026 BF16 vs Gemini Deep Research Max
At a Glance
| Compare | Gemini Deep Research MaxGoogle DeepMind | |
|---|---|---|
| Pricing and Limits | ||
| Context windowMaximum documented tokens | 200K | 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 | command-a-plus-05-2026-bf16 | Gemini Deep Research Max |
|---|---|---|
| Developer | Cohere | Google DeepMind |
| Family | Command A Plus 05 | Gemini Agents |
| Model | command-a-plus-05-2026-bf16 | Gemini Deep Research Max |
| Version | command-a-plus-05-2026-bf16 | Gemini Deep Research Max |
| Lifecycle | active | preview |
| Released | Unknown | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text, Image, Video, Audio, Document |
| Output modalities | Text | Text, Image |
| Context window | 200K | 1,049K |
| Total parameters | 218.8B | Unknown |
| Active parameters | 25B | Unknown |
| License | apache-2.0 | Unknown |
| Open weights | Yes | No |
| API available | Unknown | Yes |
| Self-hostable | Yes | No |
| Provider access | Unknown | Google AI (Standard), Google Gemini (Standard) |
| Capabilities | chat, generation, tools | generation, reasoning, research, tools |
Command A Plus 05 2026 BF16 Capabilities
Gemini Deep Research Max Capabilities
Primary Evidence
Sources and Freshness
Questions
Command A Plus 05 2026 BF16 vs Gemini Deep Research Max FAQs
Is Command A Plus 05 2026 BF16 or Gemini Deep Research Max better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Command A Plus 05 2026 BF16 and Gemini Deep Research Max, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Command A Plus 05 2026 BF16 or Gemini Deep Research Max?+
Neither model has a directly sourced input price in this comparison. Neither model has a directly sourced output price in this comparison.
Which has a larger context window, Command A Plus 05 2026 BF16 or Gemini Deep Research Max?+
Gemini Deep Research Max has the larger sourced context window. Command A Plus 05 2026 BF16 supports 200K and Gemini Deep Research Max supports 1,049K.
Which performs better in benchmarks, Command A Plus 05 2026 BF16 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 Command A Plus 05 2026 BF16 or Gemini Deep Research Max be self-hosted?+
Command A Plus 05 2026 BF16 is the only model in this pair currently marked as self-hostable. Command A Plus 05 2026 BF16 is open weight; Gemini Deep Research Max is not marked open weight.
Can Command A Plus 05 2026 BF16 and Gemini Deep Research Max understand images?+
Command A Plus 05 2026 BF16 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, Command A Plus 05 2026 BF16 or Gemini Deep Research Max?+
Neither has a larger sourced maximum output. Command A Plus 05 2026 BF16 is 66K and Gemini Deep Research Max is 66K.
Do Command A Plus 05 2026 BF16 and Gemini Deep Research Max support reasoning and tool use?+
Command A Plus 05 2026 BF16: 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, Command A Plus 05 2026 BF16 or Gemini Deep Research Max?+
Command A Plus 05 2026 BF16 has 0 sourced provider routes; Gemini Deep Research Max has 2, so Gemini Deep Research Max has broader tracked availability.
Which offers better value, Command A Plus 05 2026 BF16 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.