Motif-Technologies
We introduce Motif 3, a decoder-only Mixture-of-Experts language model with 314 billion total parameters and 13. 2 billion parameters activated for each token. Each sparse MoE layer contains 384 routed experts, while only eight are selected for each token.
Running this yourself: likely needs a high-memory cloud gpu.
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Quality Score
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Arena ELO
315B
Parameters
262K
Context
This measures the amount of verifiable public evidence we have, not how capable the model is. A missing field means it has not been verified yet, not that its value is zero.
18 of 22 public signals
Use this section to answer one simple question first: how much outside evidence do we have that this model performs well? Structured benchmark scores appear first, then official provider evidence, then live arena signal.
This model has normalized benchmark rows, so scores here are directly comparable across benchmark sources.
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4.4K
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Aug 2026
Released
5/5 signals
2/4 signals
3/5 signals
4/4 signals
4/4 signals
Parameters
314B
Training compute
1.1e24 FLOP
Dataset scale
Not reported
Base model
Not reported
Source-reported access: Open weights (unrestricted) · Confident confidence
Gaps we are still tracking
These are recent benchmark or leaderboard claims from official provider sources. They are useful for freshness and context, but they are not treated the same as normalized independent benchmark rows.
Motif 3 Benchmark Update
Quality: 47.4/100 | Price: $0/M tokens | Output: 0 tok/s | HumanEval: 0.406%
View sourceMotif 3 Benchmark Update
Quality: 47.4/100 | Price: $0/M tokens | Output: 0 tok/s | HumanEval: 0.406%
View sourceMotif 3 Benchmark Update
Quality: 47.4/100 | Price: $0/M tokens | Output: 0 tok/s | HumanEval: 0.406%
View sourceMotif 3 Benchmark Update
Quality: 47.4/100 | Price: $0/M tokens | Output: 0 tok/s | HumanEval: 0.406%
View sourceMotif 3 Benchmark Update
Quality: 47.4/100 | Price: $0/M tokens | Output: 0 tok/s | HumanEval: 0.406%
View sourceMotif 3 Benchmark Update
Quality: 47.4/100 | Price: $0/M tokens | Output: 0 tok/s | HumanEval: 0.406%
View source