Model card
mistralai/Mixtral-8x22B-Instruct-v0.1 (API).
mistralaiapi141B params
§ 02 · Benchmarks
Every benchmark mistralai/Mixtral-8x22B-Instruct-v0.1 (API) has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | Open PL LLM Leaderboard | Natural Language Processing · Polish LLM General | dyk | 70.4% | #19 | — | source ↗ |
| 02 | CPTU-Bench | Natural Language Processing · Polish Text Understanding | phraseology | 3.5% | #21 | — | source ↗ |
| 03 | Polish EQ-Bench | Natural Language Processing · Polish Emotional Intelligence | eq-score | 67.6% | #28 | — | source ↗ |
| 04 | Open PL LLM Leaderboard | Natural Language Processing · Polish LLM General | belebele | 89.4% | #31 | — | source ↗ |
| 05 | CPTU-Bench | Natural Language Processing · Polish Text Understanding | tricky-questions | 3.2% | #34 | — | source ↗ |
| 06 | Open PL LLM Leaderboard | Natural Language Processing · Polish LLM General | eq-bench | 60.7% | #34 | — | source ↗ |
| 07 | CPTU-Bench | Natural Language Processing · Polish Text Understanding | average | 3.6% | #36 | — | source ↗ |
| 08 | CPTU-Bench | Natural Language Processing · Polish Text Understanding | language-understanding | 3.7% | #39 | — | source ↗ |
| 09 | CPTU-Bench | Natural Language Processing · Polish Text Understanding | sentiment | 3.8% | #42 | — | source ↗ |
| 10 | Open PL LLM Leaderboard | Natural Language Processing · Polish LLM General | klej-ner-mc | 55.2% | #48 | — | source ↗ |
| 11 | Open PL LLM Leaderboard | Natural Language Processing · Polish LLM General | klej-ner-generative | 54.6% | #63 | — | source ↗ |
| 12 | Open PL LLM Leaderboard | Natural Language Processing · Polish LLM General | ppc | 77.7% | #68 | — | source ↗ |
| 13 | Open PL LLM Leaderboard | Natural Language Processing · Polish LLM General | average | 60.6% | #72 | — | source ↗ |
| 14 | Open PL LLM Leaderboard | Natural Language Processing · Polish LLM General | cbd | 34.0% | #72 | — | source ↗ |
| 15 | Open PL LLM Leaderboard | Natural Language Processing · Polish LLM General | polemo2-in | 83.4% | #74 | — | source ↗ |
| 16 | Open PL LLM Leaderboard | Natural Language Processing · Polish LLM General | poquad-open-book | 60.0% | #188 | — | source ↗ |
| 17 | Open PL LLM Leaderboard | Natural Language Processing · Polish LLM General | polqa-open-book | 66.7% | #431 | — | 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/Mixtral-8x22B-Instruct-v0.1 (API) actually performs.
§ 05 · Related models
Other mistralai models scored on Codesota.
mistralai/Mistral-7B-Instruct-v0.3
7.25B params · 17 results
mistralai/Mistral-Large-Instruct-2407
123B params · 17 results
mistralai/Mistral-Large-Instruct-2411
123B params · 17 results
mistralai/Mistral-Nemo-Instruct-2407
12.2B params · 17 results
mistralai/Mistral-Small-24B-Instruct-2501
23.6B params · 17 results
mistralai/Mixtral-8x7B-Instruct-v0.1
46.7B params · 17 results
Mistral-7B-Instruct-v0.2
13 results
Mistral-7B-Instruct-v0.1
12 results
§ 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.