long-context work

Gemini 3.5 Pro vs Claude Sonnet 5

Both models are live in the Cybrdeck playground. Instead of trusting a single answer or a generic leaderboard, run the same prompt through Gemini 3.5 Pro and Claude Sonnet 5 side by side and diff the results in the consensus studio — with real latency and credit cost shown per model.

Google

Gemini 3.5 Pro

Google's long-context agentic & coding engine. Balanced latency with a 1M-token window.

Anthropic

Claude Sonnet 5

Anthropic's coding and tooling workhorse. Strong agentic automation, debugging, and tool use.

Spec comparison

GoogleProviderAnthropic
1.0M tokensContext1M tokens
standardTierpremium
1.5Credits / 1k in1.9
9Credits / 1k out9.5
NoReasoning controlNo
image, textAttachmentsimage, text

Which costs less on Cybrdeck?

Gemini 3.5 Pro burns 9 credits per 1,000 output tokens; Claude Sonnet 5 burns 9.5. Gemini 3.5 Pro is the lower-cost option for the same output volume. Credit rates are Cybrdeck's published playground multipliers, so the numbers move with the catalog rather than a snapshot.

Frequently asked

What is the difference between Gemini 3.5 Pro and Claude Sonnet 5?+

Gemini 3.5 Pro is served by Google with a 1.0M-token context window; Claude Sonnet 5 comes from Anthropic with 1M tokens. In Cybrdeck you run both on the same prompt and diff the answers side by side instead of trusting a single model's take.

Which is cheaper to run, Gemini 3.5 Pro or Claude Sonnet 5?+

On Cybrdeck credits, Gemini 3.5 Pro burns 9 credits per 1,000 output tokens and Claude Sonnet 5 burns 9.5. Gemini 3.5 Pro is the lower-cost option for the same output volume.

Can I use Gemini 3.5 Pro and Claude Sonnet 5 side by side?+

Yes. The Cybrdeck playground runs multiple models on one prompt in a consensus studio, so you see exactly where Gemini 3.5 Pro and Claude Sonnet 5 agree and where they diverge — starting on the free tier.

Which model should I pick for long-context work?+

It depends on your workload. Run both against your own prompt in the playground: Cybrdeck shows latency and credit cost per model, so you decide from your real task rather than a generic leaderboard.

More model comparisons