DeepSeek-V4-Pro-0813 vs Inkling 2 Small
DeepSeek-V4-Pro-0813 and Inkling 2 Small are closely matched at 49.3 and 47.1 on the LLM Stats Score. Inkling 2 Small is 3.4x cheaper per token.
DeepSeek · Thinking Machines Lab · Updated for 2026
Which is better?
DeepSeek-V4-Pro-0813 and Inkling 2 Small are closely matched on the overall LLM Stats Score at 49.3 and 47.1.
In the 1 individual benchmarks reported for both models, DeepSeek-V4-Pro-0813 wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Inkling 2 Small is roughly 3.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
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 LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek-V4-Pro-0813
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you process long inputs — it offers a 1,048,576 token context window
- you need open weights you can self-host or fine-tune
Choose Inkling 2 Small
- cost matters — it's about 3.4x cheaper per token
- you want the most recent training data — it shipped Nov 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
12 reported for DeepSeek-V4-Pro-0813 · 11 for Inkling 2 Small
DeepSeek-V4-Pro-0813 outperforms in 1 benchmarks (Humanity's Last Exam), while Inkling 2 Small is better at 0 benchmarks.
DeepSeek-V4-Pro-0813 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, DeepSeek-V4-Pro-0813 ($1.30/1M tokens) is 4.3x more expensive than Inkling 2 Small ($0.30/1M tokens).
For output processing, DeepSeek-V4-Pro-0813 ($2.60/1M tokens) is 2.6x more expensive than Inkling 2 Small ($1.00/1M tokens).
In conclusion, DeepSeek-V4-Pro-0813 is more expensive than Inkling 2 Small.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
DeepSeek-V4-Pro-0813 has 1006.0B more parameters than Inkling 2 Small, making it 169.4% larger.
Context Window
Maximum input and output token capacity
DeepSeek-V4-Pro-0813 accepts 1,048,576 input tokens compared to Inkling 2 Small's 256,000 tokens. Only DeepSeek-V4-Pro-0813 specifies output context (1,048,576 tokens).
Input capabilities
Documented input modalities across available providers
Inkling 2 Small supports multimodal inputs, whereas DeepSeek-V4-Pro-0813 does not.
Inkling 2 Small can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V4-Pro-0813
Inkling 2 Small
License
Usage and distribution terms
DeepSeek-V4-Pro-0813 is licensed under MIT, while Inkling 2 Small uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
DeepSeek-V4-Pro-0813 was released on 2026-08-13, while Inkling 2 Small was released on 2026-11-05.
Inkling 2 Small is 3 months newer than DeepSeek-V4-Pro-0813.
Aug 13, 2026
2 months ago
Nov 5, 2026
5 days ago
2mo newerKnowledge 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 DeepInfra, DeepSeek, Novita, Together. Inkling 2 Small is available from Thinking Machines Lab.
DeepSeek-V4-Pro-0813
Inkling 2 Small
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Pro-0813 and Inkling 2 Small side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Pro-0813 vs Inkling 2 Small.