Gemma 4 26B-A4B vs Inkling
Inkling leads the LLM Stats Score 37.5 to 29.7. Gemma 4 26B-A4B is 12.5x cheaper per token.
Google · Thinking Machines Lab · Updated for 2026
Which is better?
Inkling leads the overall LLM Stats Score 37.5 to 29.7, ranking #66 overall.
The models split the 2 individual benchmarks reported for both models evenly.
On price, Gemma 4 26B-A4B is roughly 12.5x 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 Gemma 4 26B-A4B
- cost matters — it's about 12.5x cheaper per token
Choose Inkling
- overall performance matters — it scores 37.5 and ranks #66 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you process long inputs — it offers a 524,288 token context window
- you want the most recent training data — it shipped Jul 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 Gemma 4 26B-A4B · 16 for Inkling
Gemma 4 26B-A4B outperforms in 1 benchmarks (MMMU-Pro), while Inkling is better at 1 benchmark (AIME 2026).
Both models are evenly matched across the benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemma 4 26B-A4B ($0.07/1M tokens) is 13.6x cheaper than Inkling ($0.95/1M tokens).
For output processing, Gemma 4 26B-A4B ($0.34/1M tokens) is 11.9x cheaper than Inkling ($4.05/1M tokens).
In conclusion, Inkling is more expensive than Gemma 4 26B-A4B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Inkling has 949.8B more parameters than Gemma 4 26B-A4B, making it 3769.0% larger.
Context Window
Maximum input and output token capacity
Inkling accepts 524,288 input tokens compared to Gemma 4 26B-A4B's 262,144 tokens. Inkling can generate longer responses up to 524,288 tokens, while Gemma 4 26B-A4B is limited to 262,144 tokens.
Input capabilities
Documented input modalities across available providers
Both Gemma 4 26B-A4B and Inkling support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemma 4 26B-A4B
Inkling
License
Usage and distribution terms
Both models are licensed under Apache 2.0.
Both models share the same licensing terms, providing consistent usage rights.
Apache 2.0
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Gemma 4 26B-A4B was released on 2026-04-02, while Inkling was released on 2026-07-21.
Inkling is 4 months newer than Gemma 4 26B-A4B.
Apr 2, 2026
5 months ago
Jul 21, 2026
1 months ago
3mo newerKnowledge Cutoff
When training data ends
Gemma 4 26B-A4B has a documented knowledge cutoff of 2025-01-01, while Inkling's cutoff date is not specified.
We can confirm Gemma 4 26B-A4B's training data extends to 2025-01-01, but cannot make a direct comparison without Inkling's cutoff date.
Jan 2025
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Provider Availability
Gemma 4 26B-A4B is available from DeepInfra, Novita. Inkling is available from DeepInfra.
Gemma 4 26B-A4B
Inkling
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemma 4 26B-A4B and Inkling side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemma 4 26B-A4B vs Inkling.