Inkling vs o3
Inkling leads the LLM Stats Score 37.1 to 30.6. Inkling is 2.0x cheaper per token.
Thinking Machines Lab · OpenAI · Updated for 2026
Which is better?
Inkling leads the overall LLM Stats Score 37.1 to 30.6, ranking #86 overall.
In the 3 individual benchmarks reported for both models, o3 wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Inkling is roughly 2.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Inkling also accepts a larger context window (524,288 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
- overall performance matters — it scores 37.1 and ranks #86 on LLM Stats
- your work emphasizes reasoning and agents — it leads those capability indexes
- cost matters — it's about 2.0x cheaper per token
- you process long inputs — it offers a 524,288 token context window
- you want the most recent training data — it shipped Jul 2026
- you need open weights you can self-host or fine-tune
Choose o3
- you value its reported benchmark strengths — it wins 2 of 3 exact shared results
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
16 reported for Inkling · 22 for o3
Inkling outperforms in 1 benchmarks (SWE-Bench Verified), while o3 is better at 2 benchmarks (CharXiv-R, MMMU-Pro).
o3 shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Inkling ($0.95/1M tokens) is 2.1x cheaper than o3 ($2.00/1M tokens).
For output processing, Inkling ($4.05/1M tokens) is 2.0x cheaper than o3 ($8.00/1M tokens).
In conclusion, o3 is more expensive than Inkling.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Inkling accepts 524,288 input tokens compared to o3's 200,000 tokens. Inkling can generate longer responses up to 524,288 tokens, while o3 is limited to 100,000 tokens.
Input capabilities
Documented input modalities across available providers
Both Inkling and o3 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Inkling
o3
License
Usage and distribution terms
Inkling is licensed under Apache 2.0, while o3 uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Inkling was released on 2026-07-21, while o3 was released on 2025-04-16.
Inkling is 15 months newer than o3.
Jul 21, 2026
3 months ago
1.3yr newerApr 16, 2025
1.5 years ago
Knowledge Cutoff
When training data ends
o3 has a documented knowledge cutoff of 2024-05-31, while Inkling's cutoff date is not specified.
We can confirm o3's training data extends to 2024-05-31, but cannot make a direct comparison without Inkling's cutoff date.
—
May 2024
Provider Availability
Inkling is available from DeepInfra. o3 is available from OpenAI.
Inkling
o3
Outputs Comparison
Judge for yourself.
Run your own prompts against Inkling and o3 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Inkling vs o3.