Gemini Deep Research Max vs Granite 4.2 8B

This comparison does not currently contain a protocol-matched coding benchmark for both Gemini Deep Research Max and Granite 4.2 8B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Only Granite 4.2 8B has a directly sourced input price: $0.060 per million tokens. Only Granite 4.2 8B has a directly sourced output price: $0.25 per million tokens.

Gemini Deep Research Max has the larger sourced context window. Gemini Deep Research Max supports 1,049K and Granite 4.2 8B supports 131K.

There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.

Granite 4.2 8B is the only model in this pair currently marked as self-hostable. Gemini Deep Research Max is not marked open weight; Granite 4.2 8B is open weight.

Gemini Deep Research Max is documented with image input; Granite 4.2 8B is not documented with image input. This reflects supported input modalities, not vision quality.

Neither has a larger sourced maximum output. Gemini Deep Research Max is 66K and Granite 4.2 8B is —.

Gemini Deep Research Max: reasoning, tool calling, and image input. Granite 4.2 8B: reasoning and tool calling. Feature support does not establish relative quality.

Gemini Deep Research Max has 2 sourced provider routes; Granite 4.2 8B has 2, a tie.

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.