Auto-generated comparison

Google: Gemini 2.5 Pro (batch) vs Thinking Machines: Inkling

Google: Gemini 2.5 Pro (batch) and Thinking Machines: Inkling are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.

Side-by-side comparison

CapabilityGoogle: Gemini 2.5 Pro (batch)Thinking Machines: InklingWinner
Context window
Maximum number of input tokens the model can attend to in a single request.
1.0M1.0MTie
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.63$1.00🏆 Google: Gemini 2.5 Pro (batch)
Output price (per 1M)
Cost per million output tokens billed by the provider.
$5.00$4.05🏆 Thinking Machines: Inkling
Tool / function calling
First-class support for emitting structured tool calls.
YesYesTie
Vision input
Accepts image inputs alongside text.
YesYesTie
Reasoning mode
Internal chain-of-thought / extended-thinking support.
YesYesTie

Frequently asked questions

Is Google: Gemini 2.5 Pro (batch) better than Thinking Machines: Inkling?

Google: Gemini 2.5 Pro (batch) and Thinking Machines: Inkling are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.

What's the price difference between Google: Gemini 2.5 Pro (batch) and Thinking Machines: Inkling?

Input: $0.63 vs $1.00 per 1M tokens. Output: $5.00 vs $4.05 per 1M tokens.

What context windows do Google: Gemini 2.5 Pro (batch) and Thinking Machines: Inkling support?

Google: Gemini 2.5 Pro (batch) supports up to 1.0M tokens. Thinking Machines: Inkling supports up to 1.0M tokens.

Do both Google: Gemini 2.5 Pro (batch) and Thinking Machines: Inkling support tool calling?

Google: Gemini 2.5 Pro (batch): yes. Thinking Machines: Inkling: yes.

Compare Google: Gemini 2.5 Pro (batch) with other models

Compare Thinking Machines: Inkling with other models