Gemma 4 26B A4B — Specifications
Zusammengestellt von Mustafa Ihsan aus der Dokumentation des Herstellers · Zuletzt aktualisiert
| Entwickler | |
|---|---|
| Typ | LLM (multimodal) |
| Modality | Text, Bild → Text |
| Parameter | 25.2B total / 3.8B active |
| Kontextfenster | 256K |
| Lizenz | Apache 2.0 |
| Offene Gewichte | Ja |
| Veröffentlicht | 2026-03 |
| Eingabepreis | $0.15 /1M |
| Ausgabepreis | $0.60 /1M |
| API-Anbieter | Google Cloud (managed API), DeepInfra, OpenRouter (hosted); Gemini API (free tier only); Ollama (local) |
Lokal ausführen
| VRAM (4-Bit) | ~14.4 GB |
|---|
Benchmark-Ergebnisse
| Google-reported | MMLU Pro 82.6%; GPQA Diamond 82.3%; LiveCodeBench v6 77.1%; AIME 2026 (no tools) 88.3%; MMMU Pro 73.8%. |
|---|
What is Gemma 4 26B A4B?
Gemma 4 26B A4B is the mixture-of-experts model in Google DeepMind’s open Gemma 4 family, released on 31 March 2026 under the Apache 2.0 licence. Its Modellkarte lists 25.2 billion parameters in total but only 3.8 billion active per token (8 of 128 experts plus one shared), text and image input and a 256K-token context. Google says it runs almost as fast as a 4B model, and reports 82.6% on MMLU Pro, 82.3% on GPQA Diamond and 77.1% on LiveCodeBench v6, against 85.2%, 84.3% and 80.0% for the dense Gemma 4 31B.
Google Cloud sells it as a managed API at $0.15 per million input tokens and $0.60 output, with cache hits at $0.015; its Preisseite calls it “Gemma 4 26B”. That is the price stored in this entry. DeepInfra lists it for less, at $0.07 and $0.34, and Google’s Gemini API serves gemma-4-26b-a4b-it on its free tier only.
Running it locally takes more memory than the “A4B” suggests. Google notes that all 26 billion parameters must be loaded to keep routing fast, and estimates about 14.4 GB at 4-bit (Q4_0) for the weights alone, before the context window. Ollama’s gemma4:26b-a4b-it-q4_K_M build is an 18 GB download, more than a 16 GB card holds. Size it with the VRAM-Rechner and see how to run Gemma 4 in Ollama. In the previous generation, the nearest size was Gemma 3 27B.
Gemma 4 26B A4B pricing: API cost per 1M tokens
| Eingabe (pro 1 Mio. Token) | $0.150 |
|---|---|
| Ausgabe (pro 1 Mio. Token) | $0.600 |
| Verhältnis Output/Input | 4× |
| Gemischt (4:1 Input:Output) | $0.240 pro 1 Mio. Tokens |
What Gemma 4 26B A4B costs per month
Tatsächliche monatliche Ausgaben bei einem 4:1-Input-zu-Output-Mix – dem Verhältnis, das typische Chat- oder RAG-Arbeitslasten tatsächlich erzeugen.
| Workload | Tokens/Monat | Kosten pro Monat |
|---|---|---|
| Nebenprojekt | 1 Mio. Eingabe / 0,25 Mio. Ausgabe | $0.30 |
| Kleines Team | 20 Mio. Eingabe / 5 Mio. Ausgabe | $6.00 |
| Produktion | 200 Mio. Eingabe / 50 Mio. Ausgabe | $60 |
Stellen Sie Ihre eigenen Berechnungen im KI-API-Kostenrechner.
Cheaper alternatives to Gemma 4 26B A4B
| Modell | Gewichteter Preis pro Million US-Dollar | Sie sparen |
|---|---|---|
| Llama 3.1 8B offenere | $0.0240 | 90% cheaper |
| Mistral NeMo 12B offenere | $0.0292 | 88% günstiger |
| Gemma 3 4B offenere | $0.0600 | 75 % günstiger |
Selbst hosten oder die API nutzen?
Gemma 4 26B A4B is open-weight, so you can run it yourself. It needs ~14.4 GB of VRAM at 4-bit. Self-hosting only beats the API once your volume is high enough to keep that hardware busy — the Self-Hosting vs API Rechner berechnet den Break-even-Punkt für Ihr Token-Volumen.
Häufig gestellte Fragen
How much does Gemma 4 26B A4B cost per 1M tokens?
Gemma 4 26B A4B costs $0.150 per 1M input tokens and $0.600 per 1M output tokens. At a typical 4:1 input-to-output mix that blends to about $0.240 per 1M tokens.
How much does Gemma 4 26B A4B cost per month?
A small-team workload of 20M input and 5M output tokens a month costs about $6.00 on Gemma 4 26B A4B. A side project (1M in / 0.25M out) costs roughly $0.30.
What is a cheaper alternative to Gemma 4 26B A4B?
Llama 3.1 8B is the strongest cheaper option in our database at $0.0240 per 1M blended — about 90% less than Gemma 4 26B A4B. It is also open-weight, so self-hosting is an option.
Can I run Gemma 4 26B A4B locally?
Yes. Gemma 4 26B A4B is open-weight and needs about ~14.4 GB of VRAM at 4-bit quantisation.
Why does Gemma 4 26B A4B charge more for output than input?
Output tokens are generated one at a time and cannot be batched the way a prompt can, so they cost the provider more to serve. Gemma 4 26B A4B charges 4× more for output, which is why prompt-heavy workloads are far cheaper to run than generation-heavy ones.
Die Preise entsprechen den offiziell veröffentlichten Listenpreisen für die primäre API des jeweiligen Modells und werden regelmäßig aktualisiert, sobald Anbieter diese ändern. Volumen-, Batch- und Cached-Input-Rabatte sind nicht enthalten. Vergleichen Sie alle Modelle nebeneinander im Datenbank für KI-Modelle oder das LLM-Leaderboard.