DeepSeek-V4-Flash-Max vs Inkling 2 Small
Inkling 2 Small leads the LLM Stats Score 47.1 to 38.5. DeepSeek-V4-Flash-Max is 4.2x cheaper per token.
DeepSeek · Thinking Machines Lab · Updated for 2026
Which is better?
Inkling 2 Small leads the overall LLM Stats Score 47.1 to 38.5, ranking #41 overall.
In the 5 individual benchmarks reported for both models, Inkling 2 Small wins 4; this is a narrower head-to-head signal than the composite indexes.
On price, DeepSeek-V4-Flash-Max is roughly 4.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
DeepSeek-V4-Flash-Max 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-Flash-Max
- cost matters — it's about 4.2x cheaper per token
- 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
- overall performance matters — it scores 47.1 and ranks #41 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 4 of 5 exact shared results
- 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
19 reported for DeepSeek-V4-Flash-Max · 11 for Inkling 2 Small
DeepSeek-V4-Flash-Max outperforms in 1 benchmarks (Humanity's Last Exam), while Inkling 2 Small is better at 4 benchmarks (BrowseComp, GPQA, MCP Atlas, SWE-Bench Verified).
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-V4-Flash-Max ($0.09/1M tokens) is 3.3x cheaper than Inkling 2 Small ($0.30/1M tokens).
For output processing, DeepSeek-V4-Flash-Max ($0.18/1M tokens) is 5.6x cheaper than Inkling 2 Small ($1.00/1M tokens).
In conclusion, Inkling 2 Small is more expensive than DeepSeek-V4-Flash-Max.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Inkling 2 Small has 310.0B more parameters than DeepSeek-V4-Flash-Max, making it 109.2% larger.
Context Window
Maximum input and output token capacity
DeepSeek-V4-Flash-Max accepts 1,048,576 input tokens compared to Inkling 2 Small's 256,000 tokens. Only DeepSeek-V4-Flash-Max specifies output context (1,048,576 tokens).
Input capabilities
Documented input modalities across available providers
Inkling 2 Small supports multimodal inputs, whereas DeepSeek-V4-Flash-Max does not.
Inkling 2 Small can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V4-Flash-Max
Inkling 2 Small
License
Usage and distribution terms
DeepSeek-V4-Flash-Max 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-Flash-Max was released on 2026-04-23, while Inkling 2 Small was released on 2026-11-05.
Inkling 2 Small is 7 months newer than DeepSeek-V4-Flash-Max.
Apr 23, 2026
6 months ago
Nov 5, 2026
4 days ago
6mo 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-Flash-Max is available from DeepInfra, DeepSeek. Inkling 2 Small is available from Thinking Machines Lab.
DeepSeek-V4-Flash-Max
Inkling 2 Small
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Flash-Max and Inkling 2 Small side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Flash-Max vs Inkling 2 Small.