GPT-5.2 vs Inkling-Small
GPT-5.2 and Inkling-Small are closely matched at 41.1 and 38.1 on the LLM Stats Score. Inkling-Small is 9.2x cheaper per token.
OpenAI · Thinking Machines Lab · Updated for 2026
Which is better?
GPT-5.2 and Inkling-Small are closely matched on the overall LLM Stats Score at 41.1 and 38.1.
In the 10 individual benchmarks reported for both models, GPT-5.2 wins 6; this is a narrower head-to-head signal than the composite indexes.
On price, Inkling-Small is roughly 9.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-5.2 also accepts a larger context window (400,000 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 GPT-5.2
- you value its reported benchmark strengths — it wins 6 of 10 exact shared results
- you process long inputs — it offers a 400,000 token context window
Choose Inkling-Small
- cost matters — it's about 9.2x cheaper per token
- you want the most recent training data — it shipped Jul 2026
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
24 reported for GPT-5.2 · 24 for Inkling-Small
GPT-5.2 outperforms in 6 benchmarks (ARC-AGI, ARC-AGI v2, CharXiv-R, GPQA, Humanity's Last Exam, MMMU-Pro), while Inkling-Small is better at 4 benchmarks (BrowseComp, MCP Atlas, SWE-Bench Verified, Toolathlon).
GPT-5.2 has a slight edge in benchmark performance.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-5.2 ($1.75/1M tokens) is 5.8x more expensive than Inkling-Small ($0.30/1M tokens).
For output processing, GPT-5.2 ($14.00/1M tokens) is 11.7x more expensive than Inkling-Small ($1.20/1M tokens).
In conclusion, GPT-5.2 is more expensive than Inkling-Small.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-5.2 accepts 400,000 input tokens compared to Inkling-Small's 256,000 tokens. Inkling-Small can generate longer responses up to 256,000 tokens, while GPT-5.2 is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both GPT-5.2 and Inkling-Small support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-5.2
Inkling-Small
License
Usage and distribution terms
GPT-5.2 is licensed under a proprietary license, while Inkling-Small uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
GPT-5.2 was released on 2025-12-11, while Inkling-Small was released on 2026-07-30.
Inkling-Small is 8 months newer than GPT-5.2.
Dec 11, 2025
10 months ago
Jul 30, 2026
2 months ago
7mo newerKnowledge Cutoff
When training data ends
GPT-5.2 has a documented knowledge cutoff of 2025-08-25, while Inkling-Small's cutoff date is not specified.
We can confirm GPT-5.2's training data extends to 2025-08-25, but cannot make a direct comparison without Inkling-Small's cutoff date.
Aug 2025
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Provider Availability
GPT-5.2 is available from OpenAI. Inkling-Small is available from Thinking Machines Lab, DeepInfra.
GPT-5.2
Inkling-Small
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-5.2 and Inkling-Small side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-5.2 vs Inkling-Small.