Inkling 2 Small vs o1-mini
Inkling 2 Small leads the LLM Stats Score 47.2 to 9.3. Inkling 2 Small is 11.1x cheaper per token.
Thinking Machines Lab · OpenAI · Updated for 2026
Which is better?
Inkling 2 Small leads the overall LLM Stats Score 47.2 to 9.3, 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 11.1x 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 Inkling 2 Small
- overall performance matters — it scores 47.2 and ranks #39 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- cost matters — it's about 11.1x 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
Choose o1-mini
- you want predictable pricing at $3.00/M input and $12.00/M output
At a glance
The differences that matter most.
Individual benchmarks
11 reported for Inkling 2 Small · 6 for o1-mini
Inkling 2 Small outperforms in 1 benchmarks (GPQA), while o1-mini is better at 0 benchmarks.
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, Inkling 2 Small ($0.30/1M tokens) is 10.0x cheaper than o1-mini ($3.00/1M tokens).
For output processing, Inkling 2 Small ($1.00/1M tokens) is 12.0x cheaper than o1-mini ($12.00/1M tokens).
In conclusion, o1-mini 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 o1-mini's 128,000 tokens. Only o1-mini specifies output context (65,536 tokens).
Input capabilities
Documented input modalities across available providers
Inkling 2 Small supports multimodal inputs, whereas o1-mini does not.
Inkling 2 Small can handle both text and other forms of data like images, making it suitable for multimodal applications.
Inkling 2 Small
o1-mini
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
Inkling 2 Small was released on 2026-11-05, while o1-mini was released on 2024-09-12.
Inkling 2 Small is 26 months newer than o1-mini.
Nov 5, 2026
3 days ago
2.1yr newerSep 12, 2024
2.2 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Inkling 2 Small is available from Thinking Machines Lab. o1-mini is available from OpenAI, Azure.
Inkling 2 Small
o1-mini
Outputs Comparison
Judge for yourself.
Run your own prompts against Inkling 2 Small and o1-mini side-by-side, then vote on the output you prefer.
FAQ
Common questions about Inkling 2 Small vs o1-mini.