Model card
mistralai/Mistral-Large-Instruct-2411.
mistralaiopen-weights123B params
§ 02 · Benchmarks
Every benchmark mistralai/Mistral-Large-Instruct-2411 has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | Open PL LLM Leaderboard | Natural Language Processing · Polish LLM General | klej-ner-generative | 64.9% | #1 | — | source ↗ |
| 02 | Open PL LLM Leaderboard | Natural Language Processing · Polish LLM General | poquad-open-book | 76.3% | #1 | — | source ↗ |
| 03 | Open PL LLM Leaderboard | Natural Language Processing · Polish LLM General | klej-ner-mc | 65.2% | #1 | — | source ↗ |
| 04 | Open PL LLM Leaderboard | Natural Language Processing · Polish LLM General | average | 69.8% | #1 | — | source ↗ |
| 05 | Open PL LLM Leaderboard | Natural Language Processing · Polish LLM General | polemo2-in | 89.1% | #2 | — | source ↗ |
| 06 | Polish EQ-Bench | Natural Language Processing · Polish Emotional Intelligence | eq-score | 77.3% | #2 | — | source ↗ |
| 07 | Open PL LLM Leaderboard | Natural Language Processing · Polish LLM General | dyk | 74.2% | #3 | — | source ↗ |
| 08 | Open PL LLM Leaderboard | Natural Language Processing · Polish LLM General | cbd | 44.0% | #3 | — | source ↗ |
| 09 | Open PL LLM Leaderboard | Natural Language Processing · Polish LLM General | belebele | 92.6% | #4 | — | source ↗ |
| 10 | Open PL LLM Leaderboard | Natural Language Processing · Polish LLM General | eq-bench | 63.1% | #7 | — | source ↗ |
| 11 | CPTU-Bench | Natural Language Processing · Polish Text Understanding | sentiment | 4.3% | #11 | — | source ↗ |
| 12 | CPTU-Bench | Natural Language Processing · Polish Text Understanding | average | 4.0% | #12 | — | source ↗ |
| 13 | CPTU-Bench | Natural Language Processing · Polish Text Understanding | phraseology | 4.0% | #12 | — | source ↗ |
| 14 | CPTU-Bench | Natural Language Processing · Polish Text Understanding | language-understanding | 4.0% | #16 | — | source ↗ |
| 15 | CPTU-Bench | Natural Language Processing · Polish Text Understanding | tricky-questions | 3.7% | #17 | — | source ↗ |
| 16 | Open PL LLM Leaderboard | Natural Language Processing · Polish LLM General | polqa-open-book | 91.5% | #18 | — | source ↗ |
| 17 | Open PL LLM Leaderboard | Natural Language Processing · Polish LLM General | ppc | 77.0% | #78 | — | 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 mistralai/Mistral-Large-Instruct-2411 actually performs.
§ 05 · Related models
Other mistralai models scored on Codesota.
§ 06 · Sources & freshness
Where these numbers come from.
speakleash/open_pl_llm_leaderboard
11
results
SpeakLeash/CPTU-Bench
5
results
SpeakLeash/Polish-EQ-Bench
1
result
17 of 17 rows marked verified.