Codesota · Models · Mistral-Large-Instruct-2407Mistral9 results · 1 benchmarks
Model card

Mistral-Large-Instruct-2407.

Mistralopen-source1 current SOTA
§ 02 · Benchmarks

Every benchmark Mistral-Large-Instruct-2407 has a recorded score for.

#BenchmarkArea · TaskMetricValueRankDateSource
01Polish MT-BenchNatural Language Processing · Polish Conversation Qualityextraction9.9%#1/50—source ↗
02Polish MT-BenchNatural Language Processing · Polish Conversation Qualitymath7.8%#5/50—source ↗
03Polish MT-BenchNatural Language Processing · Polish Conversation Qualityreasoning8.7%#6/50—source ↗
04Polish MT-BenchNatural Language Processing · Polish Conversation Qualitypl-score8.7%#8/50—source ↗
05Polish MT-BenchNatural Language Processing · Polish Conversation Qualitycoding6.8%#11/50—source ↗
06Polish MT-BenchNatural Language Processing · Polish Conversation Qualitystem9.3%#16/50—source ↗
07Polish MT-BenchNatural Language Processing · Polish Conversation Qualityroleplay8.7%#17/50—source ↗
08Polish MT-BenchNatural Language Processing · Polish Conversation Qualitywriting8.7%#20/50—source ↗
09Polish MT-BenchNatural Language Processing · Polish Conversation Qualityhumanities9.4%#22/50—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 Mistral-Large-Instruct-2407 actually performs.

Natural Language Processing
1
benchmark
avg rank #11.8 · 1 SOTA
§ 05 · Related models

Other Mistral models scored on Codesota.

Mixtral-8x22b
17 results
Mixtral-8x7b
16 results
Mistral-7B-Instruct-v0.2
9 results
Mistral-7B-Instruct-v0.3
9 results
Mistral-Nemo-Instruct-2407
9 results
Mistral-Small-24B-Instruct-2501
9 results
Mistral-Small-3.1-24B-Instruct-2503
9 results
Mistral-Small-Instruct-2409
9 results
§ 06 · Sources & freshness

Where these numbers come from.

SpeakLeash/MT-Bench-PL
9
results
9 of 9 rows marked verified.