Gemini 1.0 Pro vs Inkling 2 Small
Inkling 2 Small leads the LLM Stats Score 47.2 to -5.9. Inkling 2 Small is 1.6x cheaper per token.
Google · Thinking Machines Lab · Updated for 2026
Which is better?
Inkling 2 Small leads the overall LLM Stats Score 47.2 to -5.9, ranking #39 overall.
In the 1 individual benchmarks reported for both models, Inkling 2 Small wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Inkling 2 Small is roughly 1.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Inkling 2 Small also accepts a larger context window (256,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Gemini 1.0 Pro
- you want predictable pricing at $0.50/M input and $1.50/M output
Choose Inkling 2 Small
- overall performance matters — it scores 47.2 and ranks #39 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- cost matters — it's about 1.6x cheaper per token
- you process long inputs — it offers a 256,000 token context window
- you want the most recent training data — it shipped Nov 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
9 reported for Gemini 1.0 Pro · 11 for Inkling 2 Small
Gemini 1.0 Pro outperforms in 0 benchmarks, while Inkling 2 Small is better at 1 benchmark (GPQA).
Inkling 2 Small significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 1.0 Pro ($0.50/1M tokens) is 1.7x more expensive than Inkling 2 Small ($0.30/1M tokens).
For output processing, Gemini 1.0 Pro ($1.50/1M tokens) is 1.5x more expensive than Inkling 2 Small ($1.00/1M tokens).
In conclusion, Gemini 1.0 Pro is more expensive than Inkling 2 Small.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Inkling 2 Small accepts 256,000 input tokens compared to Gemini 1.0 Pro's 32,760 tokens. Only Gemini 1.0 Pro specifies output context (8,192 tokens).
Input capabilities
Documented input modalities across available providers
Inkling 2 Small supports multimodal inputs, whereas Gemini 1.0 Pro does not.
Inkling 2 Small can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 1.0 Pro
Inkling 2 Small
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Gemini 1.0 Pro was released on 2024-02-15, while Inkling 2 Small was released on 2026-11-05.
Inkling 2 Small is 33 months newer than Gemini 1.0 Pro.
Feb 15, 2024
2.7 years ago
Nov 5, 2026
3 days ago
2.7yr newerKnowledge Cutoff
When training data ends
Gemini 1.0 Pro has a documented knowledge cutoff of 2024-02-01, while Inkling 2 Small's cutoff date is not specified.
We can confirm Gemini 1.0 Pro's training data extends to 2024-02-01, but cannot make a direct comparison without Inkling 2 Small's cutoff date.
Feb 2024
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Provider Availability
Gemini 1.0 Pro is available from Google. Inkling 2 Small is available from Thinking Machines Lab.
Gemini 1.0 Pro
Inkling 2 Small
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 1.0 Pro and Inkling 2 Small side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 1.0 Pro vs Inkling 2 Small.