DeepSeek-V3 0324 vs Inkling 2 Small
Inkling 2 Small leads the LLM Stats Score 47.2 to 12.7. DeepSeek-V3 0324 is 1.2x cheaper per token.
DeepSeek · Thinking Machines Lab · Updated for 2026
Which is better?
Inkling 2 Small leads the overall LLM Stats Score 47.2 to 12.7, ranking #40 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, DeepSeek-V3 0324 is roughly 1.2x 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 DeepSeek-V3 0324
- cost matters — it's about 1.2x cheaper per token
- you need open weights you can self-host or fine-tune
Choose Inkling 2 Small
- overall performance matters — it scores 47.2 and ranks #40 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
- 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
5 reported for DeepSeek-V3 0324 · 11 for Inkling 2 Small
DeepSeek-V3 0324 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, DeepSeek-V3 0324 ($0.24/1M tokens) is 1.3x cheaper than Inkling 2 Small ($0.30/1M tokens).
For output processing, DeepSeek-V3 0324 ($0.90/1M tokens) is 1.1x cheaper than Inkling 2 Small ($1.00/1M tokens).
In conclusion, Inkling 2 Small is more expensive than DeepSeek-V3 0324.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
DeepSeek-V3 0324 has 77.0B more parameters than Inkling 2 Small, making it 13.0% larger.
Context Window
Maximum input and output token capacity
Inkling 2 Small accepts 256,000 input tokens compared to DeepSeek-V3 0324's 163,840 tokens. Only DeepSeek-V3 0324 specifies output context (163,840 tokens).
Input capabilities
Documented input modalities across available providers
Inkling 2 Small supports multimodal inputs, whereas DeepSeek-V3 0324 does not.
Inkling 2 Small can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V3 0324
Inkling 2 Small
License
Usage and distribution terms
DeepSeek-V3 0324 is licensed under MIT + Model License (Commercial use allowed), 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 + Model License (Commercial use allowed)
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
DeepSeek-V3 0324 was released on 2025-03-25, while Inkling 2 Small was released on 2026-11-05.
Inkling 2 Small is 20 months newer than DeepSeek-V3 0324.
Mar 25, 2025
1.6 years ago
Nov 5, 2026
1 weeks ago
1.6yr 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-V3 0324 is available from DeepInfra, Novita. Inkling 2 Small is available from Thinking Machines Lab.
DeepSeek-V3 0324
Inkling 2 Small
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V3 0324 and Inkling 2 Small side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V3 0324 vs Inkling 2 Small.