DeepSeek-V4-Pro-0813 vs Inkling-Small
DeepSeek-V4-Pro-0813 significantly outperforms across most benchmarks. Inkling-Small is 1.0x cheaper per token.
DeepSeek · Thinking Machines Lab · Updated for 2026
Which is better?
DeepSeek-V4-Pro-0813 outperforms in 3 benchmarks (Humanity's Last Exam, Terminal-Bench 2.1, Toolathlon), while Inkling-Small is better at 0 benchmarks. DeepSeek-V4-Pro-0813 significantly outperforms across most benchmarks.
DeepSeek-V4-Pro-0813 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Based on current benchmark, pricing, and model metadata for 2026.
Choose DeepSeek-V4-Pro-0813
- you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Aug 2026
Choose Inkling-Small
- you want predictable pricing at $0.30/M input and $1.20/M output
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V4-Pro-0813 outperforms in 3 benchmarks (Humanity's Last Exam, Terminal-Bench 2.1, Toolathlon), while Inkling-Small is better at 0 benchmarks.
DeepSeek-V4-Pro-0813 significantly outperforms across most benchmarks.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V4-Pro-0813 ($0.43/1M tokens) is 1.4x more expensive than Inkling-Small ($0.30/1M tokens).
For output processing, DeepSeek-V4-Pro-0813 ($0.87/1M tokens) is 1.4x cheaper than Inkling-Small ($1.20/1M tokens).
In conclusion, DeepSeek-V4-Pro-0813 is more expensive than Inkling-Small.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
DeepSeek-V4-Pro-0813 has 1324.0B more parameters than Inkling-Small, making it 479.7% larger.
Context Window
Maximum input and output token capacity
DeepSeek-V4-Pro-0813 accepts 1,048,576 input tokens compared to Inkling-Small's 256,000 tokens. DeepSeek-V4-Pro-0813 can generate longer responses up to 393,216 tokens, while Inkling-Small is limited to 256,000 tokens.
Input Capabilities
Supported data types and modalities
Inkling-Small supports multimodal inputs, whereas DeepSeek-V4-Pro-0813 does not.
Inkling-Small can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V4-Pro-0813
Inkling-Small
License
Usage and distribution terms
DeepSeek-V4-Pro-0813 is licensed under MIT, while Inkling-Small uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
DeepSeek-V4-Pro-0813 was released on 2026-08-13, while Inkling-Small was released on 2026-07-30.
DeepSeek-V4-Pro-0813 is 0 month newer than Inkling-Small.
Aug 13, 2026
1 weeks ago
2w newerJul 30, 2026
3 weeks 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
DeepSeek-V4-Pro-0813 is available from DeepSeek, DeepInfra, Novita, Together. Inkling-Small is available from Thinking Machines Lab.
DeepSeek-V4-Pro-0813
Inkling-Small
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Pro-0813 and Inkling-Small side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Pro-0813 vs Inkling-Small.