GPT-4 vs Inkling 2 Small
Inkling 2 Small leads the LLM Stats Score 47.2 to 2.5. Inkling 2 Small is 78.9x cheaper per token.
OpenAI · Thinking Machines Lab · Updated for 2026
Which is better?
Inkling 2 Small leads the overall LLM Stats Score 47.2 to 2.5, 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 78.9x 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 GPT-4
- you want predictable pricing at $30.00/M input and $60.00/M output
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 78.9x 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.
Individual benchmarks
12 reported for GPT-4 · 11 for Inkling 2 Small
GPT-4 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, GPT-4 ($30.00/1M tokens) is 100.0x more expensive than Inkling 2 Small ($0.30/1M tokens).
For output processing, GPT-4 ($60.00/1M tokens) is 60.0x more expensive than Inkling 2 Small ($1.00/1M tokens).
In conclusion, GPT-4 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 GPT-4's 32,768 tokens. Only GPT-4 specifies output context (32,768 tokens).
Input capabilities
Documented input modalities across available providers
Both GPT-4 and Inkling 2 Small support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-4
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
GPT-4 was released on 2023-06-13, while Inkling 2 Small was released on 2026-11-05.
Inkling 2 Small is 41 months newer than GPT-4.
Jun 13, 2023
3.4 years ago
Nov 5, 2026
4 days ago
3.4yr newerKnowledge Cutoff
When training data ends
GPT-4 has a documented knowledge cutoff of 2022-12-31, while Inkling 2 Small's cutoff date is not specified.
We can confirm GPT-4's training data extends to 2022-12-31, but cannot make a direct comparison without Inkling 2 Small's cutoff date.
Dec 2022
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Provider Availability
GPT-4 is available from Azure, OpenAI. Inkling 2 Small is available from Thinking Machines Lab.
GPT-4
Inkling 2 Small
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4 and Inkling 2 Small side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4 vs Inkling 2 Small.