The sovereign European MoE, one year after it needed a state subsidy to exist. Aleph Alpha shipped Kolibri 1 on October 3, 2026 (German Unity Day): 78B total parameters, 3.46B active per token, trained on a 20T-token bilingual corpus (62.5 percent English, 23.9 percent German, 13.6 percent code). Apache-2.0 weights on Hugging Face; the company is an EU GPAI Code of Practice signatory and markets the release as the first sovereign European open-weight MoE.
The architecture is the efficiency story. 50 layers split 40 sliding-attention (513-token window) to 10 full-attention; positional encoding lives only in the sliding layers, so the context extends to 1,048,576 tokens without the KV cache exploding: the 10 full-attention layers run about 20.5MB per 1,000 tokens at fp16 and the 40 sliding layers cap at roughly 21MB fixed, so a 256k-token context holds about 5.3GB of cache. MoE 384 experts with 6 active plus one shared expert on a 2,560 hidden size.
coding
agentic
reasoning
multilingual
long-context
- Context
- 1048k
- License
- apache 2.0
- Developer
-
Aleph Alpha
- Released
- Oct 2026
Run it locally
Per-quant memory needs and a static "can you run it?" reference - no rig entry required
BF16
156.2GB
156.2GB min
187.0GB rec
Full quality, largest
The reference hardware
22 reference configs, drawn in-house. Scroll for more.
Can you run it? - reference rigs
| Rig |
BF16 |
| NVIDIA Jetson Orin NX 16GB |
no -> cloud
|
| Jetson AGX Orin 64GB |
no -> cloud
|
| Single GTX 1080 Ti (11GB) |
no -> cloud
|
| Single RTX 4090 (24GB) |
no -> cloud
|
| Single RTX 5090 (32GB) |
no -> cloud
|
| RTX PRO 6000 Blackwell (96GB) |
offload
|
| 2x RTX 3090 (48GB) |
no -> cloud
|
| 2x RTX 5090 (64GB) |
no -> cloud
|
| 4x RTX 4090 (96GB) |
offload
|
| 4x RTX 5090 (128GB) |
offload
|
| MacBook Pro M5 Max 128GB |
no -> cloud
|
| Ryzen AI Max+ 395 128GB |
no -> cloud
|
| DGX Spark 128GB unified |
no -> cloud
|
| 4x H100 80GB (320GB) |
fast 47.2t/s
|
| NVIDIA DGX Station 748GB |
fast 28.2t/s
|
| 8x RTX 3090 rack (192GB) |
fast 26.4t/s
|
| AMD Instinct MI300X (192GB) |
ok 18.7t/s
|
| Mac Studio M4 Ultra 192GB |
slow 4.2t/s
|
| Mac Studio M4 Ultra 512GB |
slow 4.2t/s
|
| Dual EPYC 9004 + 768GB DDR5-4800 |
slow 1.6t/s
|
| Epyc + 512GB DDR4-3200 + 2x RTX 3090 |
slow 0.7t/s
|
| Epyc + 512GB DDR4-2400 + 2x RTX 3090 |
slow 0.5t/s
|
Fit tiers use the same will-it-run logic as the rig finder. For comfortable fits, the badge reflects decode speed: fast >=20 t/s, ok 8-20 t/s, slow <8 t/s. t/s is a bandwidth estimate, not a measured benchmark.
PRICE HISTORY
Inference cost over time
Data accumulates from the first daily sync - longer ranges populate over time. Prices come from OpenRouter snapshots, not a historical API.
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