Gemma 4 26B-A4B vs Kimi K2 0905
Gemma 4 26B-A4B significantly outperforms across most benchmarks. Gemma 4 26B-A4B is 5.4x cheaper per token.
Google · Moonshot AI · Updated for 2026
Which is better?
Gemma 4 26B-A4B outperforms in 2 benchmarks (GPQA, MMLU-Pro), while Kimi K2 0905 is better at 0 benchmarks. Gemma 4 26B-A4B significantly outperforms across most benchmarks.
On price, Gemma 4 26B-A4B is roughly 5.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current benchmark, pricing, and model metadata for 2026.
Choose Gemma 4 26B-A4B
- you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
- cost matters — it's about 5.4x cheaper per token
- you want the most recent training data — it shipped Apr 2026
- you need open weights you can self-host or fine-tune
Choose Kimi K2 0905
- you want predictable pricing at $0.60/M input and $2.50/M output
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
Gemma 4 26B-A4B outperforms in 2 benchmarks (GPQA, MMLU-Pro), while Kimi K2 0905 is better at 0 benchmarks.
Gemma 4 26B-A4B significantly outperforms across most benchmarks.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemma 4 26B-A4B ($0.13/1M tokens) is 4.6x cheaper than Kimi K2 0905 ($0.60/1M tokens).
For output processing, Gemma 4 26B-A4B ($0.40/1M tokens) is 6.3x cheaper than Kimi K2 0905 ($2.50/1M tokens).
In conclusion, Kimi K2 0905 is more expensive than Gemma 4 26B-A4B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Kimi K2 0905 has 974.8B more parameters than Gemma 4 26B-A4B, making it 3868.3% larger.
Context Window
Maximum input and output token capacity
Both models have the same input context window of 262,144 tokens. Kimi K2 0905 can generate longer responses up to 262,144 tokens, while Gemma 4 26B-A4B is limited to 131,072 tokens.
Input Capabilities
Supported data types and modalities
Gemma 4 26B-A4B supports multimodal inputs, whereas Kimi K2 0905 does not.
Gemma 4 26B-A4B can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemma 4 26B-A4B
Kimi K2 0905
License
Usage and distribution terms
Gemma 4 26B-A4B is licensed under Apache 2.0, while Kimi K2 0905 uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Gemma 4 26B-A4B was released on 2026-04-02, while Kimi K2 0905 was released on 2025-09-05.
Gemma 4 26B-A4B is 7 months newer than Kimi K2 0905.
Apr 2, 2026
4 months ago
6mo newerSep 5, 2025
11 months ago
Knowledge Cutoff
When training data ends
Gemma 4 26B-A4B has a documented knowledge cutoff of 2025-01-01, while Kimi K2 0905'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 Kimi K2 0905's cutoff date.
Jan 2025
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Provider Availability
Gemma 4 26B-A4B is available from Novita. Kimi K2 0905 is available from Novita.
Gemma 4 26B-A4B
Kimi K2 0905
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemma 4 26B-A4B and Kimi K2 0905 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemma 4 26B-A4B vs Kimi K2 0905.