Codesota · Models · meta-llama/Llama-4-Scout-17B-16E-Instruct (API)meta-llama16 results · 2 benchmarks
Model card

meta-llama/Llama-4-Scout-17B-16E-Instruct (API).

meta-llamaapi109B params
§ 02 · Benchmarks

Every benchmark meta-llama/Llama-4-Scout-17B-16E-Instruct (API) has a recorded score for.

#BenchmarkArea · TaskMetricValueRankDateSource
01Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalpolemo2-in89.3%#1/490—source ↗
02CPTU-BenchNatural Language Processing · Polish Text Understandingphraseology3.9%#15/93—source ↗
03Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalcbd38.5%#16/490—source ↗
04Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalbelebele91.2%#20/490—source ↗
05CPTU-BenchNatural Language Processing · Polish Text Understandingsentiment4.1%#22/93—source ↗
06CPTU-BenchNatural Language Processing · Polish Text Understandingaverage3.7%#24/93—source ↗
07Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalpoquad-open-book71.2%#26/337—source ↗
08Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generaldyk69.7%#29/489—source ↗
09CPTU-BenchNatural Language Processing · Polish Text Understandinglanguage-understanding3.8%#33/93—source ↗
10CPTU-BenchNatural Language Processing · Polish Text Understandingtricky-questions3.2%#37/93—source ↗
11Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generaleq-bench59.3%#41/299—source ↗
12Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalaverage64.2%#42/491—source ↗
13Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalklej-ner-mc55.8%#46/490—source ↗
14Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalpolqa-open-book89.2%#75/489—source ↗
15Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalklej-ner-generative53.4%#91/489—source ↗
16Open PL LLM LeaderboardNatural Language Processing · Polish LLM Generalppc75.9%#98/490—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.
§ 03 · Strengths by area

Where meta-llama/Llama-4-Scout-17B-16E-Instruct (API) actually performs.

Natural Language Processing
2
benchmarks
avg rank #38.5
§ 05 · Related models

Other meta-llama models scored on Codesota.

meta-llama/Llama-3.3-70B-Instruct
70.6B params · 1 result
Llama-2-7b-chat-hf
0 results
Llama-2-7b-hf
0 results
Llama-3.2-1B
0 results
Llama-3.2-3B
0 results
Llama-4-Scout-17B-16E
0 results
Meta-Llama-3-70B
0 results
Meta-Llama-3-8B
0 results
§ 06 · Sources & freshness

Where these numbers come from.

speakleash/open_pl_llm_leaderboard
11
results
SpeakLeash/CPTU-Bench
5
results
16 of 16 rows marked verified.