Gemma 4 26B A4B
Gemma 4 26B A4BAlternatives?
CheaperGLM 5.3 FlashunstatedOpenwins 55%-10%$0.15 / $0.50Memory (4-bit): 15 GB → 193 GB+5
BetterGPT-5.6 Terraxhighwins 53%+1,614%$0.63Prompts with >272K input tokens
OpenQwen3.8 27Bunstatedsame+264%$0.42 / $2.55Memory (4-bit): 15 GB → 17 GB+5
CheaperMiMo v2.6 FlashunstatedOpenwins 53%-33%$0.14 / $0.28Memory (4-bit): 15 GB → 186 GB+4
CheaperHy3unstatedOpensame-12%$0.13 / $0.53Memory (4-bit): 15 GB → 179 GB+1GLM 5.3 FlashunstatedOpenwins 55%-10%$0.15 / $0.50Memory (4-bit): 15 GB → 193 GB+5MiMo v2.6 FlashunstatedOpenwins 53%-33%$0.14 / $0.28Memory (4-bit): 15 GB → 186 GB+4Hy3unstatedOpensame-12%$0.13 / $0.53Memory (4-bit): 15 GB → 179 GB+1Gemma 4 31BunstatedOpenwins 47%-39%$0.10 / $0.34Memory (4-bit): 15 GB → 19 GBMiMo v2.5unstatedOpenwins 46%-33%$0.14 / $0.28Memory (4-bit): 15 GB → 186 GBGPT-5.6 Terraxhighwins 53%+1,614%$0.63Prompts with >272K input tokensGPT-5.6 Solxhighwins 54%+2,948%$1.18Gemini 3.8 Flashhighwins 58%+471%*$1.24Sampling parameters are ignored+1GLM 5.2maxOpenwins 54%+719%$1.47Memory (4-bit): 15 GB → 452 GB+1GPT-5.5highwins 54%+4,186%$1.54Prompts with >272K input tokensQwen3.8 27BunstatedOpensame+264%$0.42 / $2.55Memory (4-bit): 15 GB → 17 GB+5Qwen 3.5 27BunstatedOpenwins 47%+214%$0.30 / $2.40Memory (4-bit): 15 GB → 17 GBGemma 4 31BunstatedOpenwins 47%-39%$0.10 / $0.34Memory (4-bit): 15 GB → 19 GBQwen 3.5 35B A3BunstatedOpenwins 44%+162%$0.25 / $2Memory (4-bit): 15 GB → 22 GBQwen3 30B A3B Instruct 2507unstatedOpenwins 41%-46%$0.09 / $0.30Memory (4-bit): 15 GB → 18 GB+1Gemini 4 Argonhighwins 66%—*$1.99Synchronous output stops at 65,536+2Gemini 3.8 Flashhighwins 58%—*$1.24Sampling parameters are ignored+1Gemini 3.6 Flashhighwins 55%—*$1.60Gemini 3.1 Pro Previewunstatedwins 55%—$2 / $12Cannot use both thinking controlsGemini 3 Flash Previewunstatedwins 52%—$0.50 / $3Gemini 2.5 Prounstatedsame—$1.25 / $10Gemma 4 31BunstatedOpenwins 47%—$0.10 / $0.34Memory (4-bit): 15 GB → 19 GBGemini 3.5 Flash Liteunstatedwins 46%—$0.30 / $2.50All Google models →Run it yourself
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in Chat & KnowledgeFAQ
How much does Gemma 4 26B A4B cost?›
$0.15 per 1M input tokens and $0.60 per 1M output tokens; cheapest via Darkbloom at $0.042 / $0.22.
Is Gemma 4 26B A4B free to use?›
There is no free API; the cheapest paid price is $0.042 per 1M input tokens. The weights are open, so you can run it yourself.
How good is Gemma 4 26B A4B, and what is it best at?›
#127 of 334 in Chat & Knowledge, #78 of 97 in Coding, #99 of 133 in Agents & Tool Use, #70 of 195 in Writing & Language, #72 of 124 in Vision & Documents. Strongest at: Instructions.
Is Gemma 4 26B A4B better than NVIDIA Nemotron 3 Ultra 550B A55B NVFP4?›
On Arena Text · Chinese, Gemma 4 26B A4B scores 1,495.4 vs 1,497.4 — about the same.
How can I use Gemma 4 26B A4B?›
Through the API of Cloudflare, CoreWeave, Darkbloom, DeepInfra, DekaLLM and 8 more.
What is the context window of Gemma 4 26B A4B?›
256K tokens, with up to 236K output tokens.
When was Gemma 4 26B A4B released? Is there a newer version?›
Released 2026-04-02. It is the current version in its line.
Is Gemma 4 26B A4B open source?›
Yes, the weights are open (Apache-2.0 licence).
Can I run Gemma 4 26B A4B locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
Can Gemma 4 26B A4B read images?›
It accepts text and images, video as input.
What is Gemma 4 26B A4B?›
Gemma 4 26B A4B is an open-weights language model from Google, released Apr 2026.
What are the best alternatives to Gemma 4 26B A4B?›
GLM 5.3 Flash (cheaper), GPT-5.6 Terra (better), Qwen3.8 27B (open weights).