Gemma 4 26B A4B
Google released 2026-04-03
DeepSeek V4 Flash 0731 scores higher and costs less — but you would give something up.
+25.7 on the capability index and 24% cheaper ($0.105/M against $0.138/M). What you lose:
- no image, video input
Capability scores do not measure context length, output ceiling or which inputs a model accepts, so a higher score does not mean a drop-in replacement.
The same model via free is 100% cheaper (free/M) — same weights, different latency.
Every price dimension
| Input | $0.070/M |
|---|---|
| Output | $0.340/M |
Independent scores
| Intelligence | 26.1 |
|---|---|
| Coding | 39.3 |
| Agentic | 11 |
| LMArena Elo | 1434.6default |
Sources are listed separately rather than averaged. Across the 62 models both have scored they correlate at r = 0.806 — close agreement overall, but four models rank very differently between them, and a blended score would hide exactly those.
Capability
| Context window | 262K |
|---|---|
| Max output | 16K |
| Input modes | image, text, video |
| Tool use | yes |
| Reasoning | optional |
Provenance
| Price source | openrouter.ai |
|---|---|
| Fetched | 2026-08-24 |
| Quality data | verified |
Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind. Despite 25.2B total parameters, only 3.8B activate per token during inference — delivering near-31B quality at...