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@@ -8,12 +8,14 @@ license: cc-by-sa-4.0
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  short_description: Evaluating LLM performance across all human languages.
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  datasets:
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  - openlanguagedata/flores_plus
 
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  - mozilla-foundation/common_voice_1_0
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  models:
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  - meta-llama/Llama-3.3-70B-Instruct
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  - mistralai/Mistral-Small-24B-Instruct-2501
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  - deepseek-ai/DeepSeek-V3
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  - microsoft/phi-4
 
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  tags:
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  - leaderboard
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  - submission:manual
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  # AI Language Monitor 🌍
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  Benchmarking all big AI models on all benchmarkable languages.
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-
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- Sources:
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-
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- 1. For AI models: [OpenRouter](https://openrouter.ai/)
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- 2. For language benchmarks: [FLORES+](https://github.com/openlanguagedata/flores)
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- 3. For language statistics: [Wikidata](https://gist.github.com/unhammer/3e8f2e0f79972bf5008a4c970081502d), [Ethnologue](https://www.ethnologue.com/browse/names/)
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-
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- [UI sketch](https://www.tldraw.com/ro/5YkWi9dfBixOkQ4FV23zA?d=v192.-1.2090.1569.page)
 
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  short_description: Evaluating LLM performance across all human languages.
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  datasets:
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  - openlanguagedata/flores_plus
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+ - google/fleurs
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  - mozilla-foundation/common_voice_1_0
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  models:
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  - meta-llama/Llama-3.3-70B-Instruct
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  - mistralai/Mistral-Small-24B-Instruct-2501
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  - deepseek-ai/DeepSeek-V3
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  - microsoft/phi-4
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+ - openai/whisper-large-v3
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  tags:
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  - leaderboard
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  - submission:manual
 
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  # AI Language Monitor 🌍
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  Benchmarking all big AI models on all benchmarkable languages.