Codesota · Models · meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8 (API)meta-llama5 results · 1 benchmarks
Model card
meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8 (API).
meta-llamaopen-source402B params
§ 01 · Benchmarks
Every benchmark meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8 (API) has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | CPTU-Bench | Natural Language Processing · Polish Text Understanding | sentiment | 4.4% | #6 | — | source ↗ |
| 02 | CPTU-Bench | Natural Language Processing · Polish Text Understanding | language-understanding | 4.1% | #11 | — | source ↗ |
| 03 | CPTU-Bench | Natural Language Processing · Polish Text Understanding | average | 3.9% | #16 | — | source ↗ |
| 04 | CPTU-Bench | Natural Language Processing · Polish Text Understanding | tricky-questions | 3.8% | #16 | — | source ↗ |
| 05 | CPTU-Bench | Natural Language Processing · Polish Text Understanding | phraseology | 3.5% | #30 | — | source ↗ |
Rank column shows this model’s position vs all other models scored on the same benchmark + metric (competitors after the slash). #1 in red means current SOTA. Sorted by rank, then newest result.
§ 02 · Strengths by area
Where meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8 (API) actually performs.
§ 04 · Related models
Other meta-llama models scored on Codesota.
§ 05 · Sources & freshness
Where these numbers come from.
SpeakLeash/CPTU-Bench
5
results
5 of 5 rows marked verified.