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Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward...
Running this yourself: likely needs a high-memory cloud gpu.
OpenRouter
Price record: 2026-10-03. Source: openrouter.
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40.9
Quality Score
1292
Arena ELO
400B
Parameters
1M
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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Downloads
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Likes
Apr 2025
Released
4/5 signals
4/4 signals
5/5 signals
1/4 signals
4/4 signals
Parameters
400B
Training compute
2.2e24 FLOP
Dataset scale
30.0T units
Base model
Not reported
Source-reported access: Open weights (restricted use) · Likely 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.
llama-4-maverick-instruct - SWE-Bench Verified
SWE-Bench Verified resolved rate 21.0
View source1292
ELO Score
1288 - 1297
95% Confidence
+/-5 points
20.1K
Battles
Sep 6, 2026
Last Updated
1145
ELO Score
1136 - 1154
95% Confidence
+/-9 points
6.9K
Battles
Sep 6, 2026
Last Updated