Datasets:

sara-moricz
/

token-tax

language stringlengths 3 30	flores_code stringlengths 8 8	script stringclasses 29 values	sentences int64 1.01k 1.01k	characters int64 41.1k 189k	chatgpt_o200k_tokens int64 26.9k 369k	gemini_gemma3_tokens int64 28.1k 143k	gemini_gemma4_tokens int64 28.1k 143k	gemini_3x_flash_tokens int64 28.1k 143k	gemini_4_argon_tokens int64 28.1k 158k	claude_tokens int64 42.9k 396k	llama3_tokens int64 27.2k 403k	llama4_muse_tokens int64 27.1k 255k	deepseek_v4_tokens int64 25.4k 274k	qwen3_tokens int64 27.6k 289k	qwen35_tokens int64 26.1k 347k	mistral_tekken_tokens int64 27.8k 410k	gpt4_cl100k_2023_tokens int64 27.2k 408k	chatgpt_o200k_premium float64 1 13.7	gemini_gemma3_premium float64 1 5.1	gemini_gemma4_premium float64 1 5.1	gemini_3x_flash_premium float64 1 5.1	gemini_4_argon_premium float64 1 5.64	claude_premium float64 1 9.22	llama3_premium float64 1 14.8	llama4_muse_premium float64 1 9.43	deepseek_v4_premium float64 0.94 10.1	qwen3_premium float64 1 10.5	qwen35_premium float64 0.91 12.2	mistral_tekken_premium float64 1 14.7	gpt4_cl100k_2023_premium float64 1 15
English	eng_Latn	Latn	1,012	132,977	26,878	28,125	28,125	28,125	28,071	42,927	27,176	27,052	27,046	27,626	28,541	27,832	27,187	1	1	1	1	1	1	1	1	1	1	1	1	1
Portuguese	por_Latn	Latn	1,012	144,500	32,933	35,103	35,103	35,103	34,577	58,717	40,087	33,136	38,483	40,130	35,100	35,516	40,191	1.225	1.248	1.248	1.248	1.232	1.368	1.475	1.225	1.423	1.453	1.23	1.276	1.478
Dutch	nld_Latn	Latn	1,012	148,540	33,517	38,520	38,520	38,520	38,010	66,140	43,442	36,014	40,481	43,941	38,990	39,294	43,587	1.247	1.37	1.37	1.37	1.354	1.541	1.599	1.331	1.497	1.591	1.366	1.412	1.603
Chinese (Simplified)	zho_Hans	Hans	1,012	44,262	33,584	30,254	30,254	30,254	29,034	48,713	34,847	28,765	25,399	27,765	26,089	39,055	50,872	1.249	1.076	1.076	1.076	1.034	1.135	1.282	1.063	0.939	1.005	0.914	1.403	1.871
Indonesian	ind_Latn	Latn	1,012	143,417	33,586	32,291	32,291	32,291	31,297	68,833	41,878	30,679	36,482	42,620	31,075	36,797	42,178	1.25	1.148	1.148	1.148	1.115	1.603	1.541	1.134	1.349	1.543	1.089	1.322	1.551
Standard Malay	zsm_Latn	Latn	1,012	147,229	34,967	33,978	33,982	33,978	33,317	70,825	43,682	32,466	38,042	44,436	33,438	37,529	43,998	1.301	1.208	1.208	1.208	1.187	1.65	1.607	1.2	1.407	1.608	1.172	1.348	1.618
German	deu_Latn	Latn	1,012	154,820	35,247	37,031	37,031	37,031	36,538	73,764	43,005	35,067	40,980	43,089	37,175	36,321	43,134	1.311	1.317	1.317	1.317	1.302	1.718	1.582	1.296	1.515	1.56	1.303	1.305	1.587
Spanish	spa_Latn	Latn	1,012	158,052	35,416	36,178	36,178	36,178	35,938	62,409	41,887	35,113	40,435	42,079	37,392	36,701	42,002	1.318	1.286	1.286	1.286	1.28	1.454	1.541	1.298	1.495	1.523	1.31	1.319	1.545
Galician	glg_Latn	Latn	1,012	147,154	35,882	37,723	37,723	37,723	37,249	60,366	42,349	36,205	41,222	42,652	38,565	36,800	42,473	1.335	1.341	1.341	1.341	1.327	1.406	1.558	1.338	1.524	1.544	1.351	1.322	1.562
South Levantine Arabic	ajp_Arab	Arab	1,012	110,062	36,027	38,753	38,753	38,753	38,663	73,098	42,764	41,420	42,112	42,783	36,246	34,104	76,997	1.34	1.378	1.378	1.378	1.377	1.703	1.574	1.531	1.557	1.549	1.27	1.225	2.832
North Levantine Arabic	apc_Arab	Arab	1,012	108,996	36,164	39,316	39,316	39,316	39,114	72,840	43,094	41,909	42,464	43,522	36,380	34,185	76,577	1.345	1.398	1.398	1.398	1.393	1.697	1.586	1.549	1.57	1.575	1.275	1.228	2.817
Norwegian Bokmål	nob_Latn	Latn	1,012	133,150	36,257	38,905	38,905	38,905	38,512	58,915	42,250	37,235	41,881	42,917	39,118	39,359	42,474	1.349	1.383	1.383	1.383	1.372	1.372	1.555	1.376	1.549	1.554	1.371	1.414	1.562
Swedish	swe_Latn	Latn	1,012	133,184	36,305	38,314	38,314	38,314	37,570	56,531	42,634	35,701	41,918	43,250	39,212	39,126	42,871	1.351	1.362	1.362	1.362	1.338	1.317	1.569	1.32	1.55	1.566	1.374	1.406	1.577
Javanese	jav_Latn	Latn	1,012	137,939	36,834	41,053	41,053	41,053	41,377	69,046	46,516	39,581	45,038	47,430	42,383	45,362	46,997	1.37	1.46	1.46	1.46	1.474	1.608	1.712	1.463	1.665	1.717	1.485	1.63	1.729
French	fra_Latn	Latn	1,012	158,699	36,864	39,290	39,290	39,290	39,831	63,553	43,527	36,980	41,839	43,729	39,447	36,800	43,745	1.372	1.397	1.397	1.397	1.419	1.48	1.602	1.367	1.547	1.583	1.382	1.322	1.609
Mesopotamian Arabic	acm_Arab	Arab	1,012	114,637	37,105	40,591	40,591	40,591	40,219	76,469	44,664	42,890	43,645	44,715	37,270	34,914	80,923	1.38	1.443	1.443	1.443	1.433	1.781	1.644	1.585	1.614	1.619	1.306	1.254	2.977
Standard Arabic	arb_Arab	Arab	1,012	117,331	37,123	40,896	40,896	40,896	40,281	77,813	44,924	42,978	43,720	44,999	37,039	34,582	82,296	1.381	1.454	1.454	1.454	1.435	1.813	1.653	1.589	1.617	1.629	1.298	1.243	3.027
Yue Chinese	yue_Hant	Hant	1,012	41,053	37,114	30,464	30,464	30,464	29,385	47,654	35,712	29,894	27,739	30,697	27,707	39,978	56,903	1.381	1.083	1.083	1.083	1.047	1.11	1.314	1.105	1.026	1.111	0.971	1.436	2.093
Najdi Arabic	ars_Arab	Arab	1,012	117,442	37,240	41,024	41,024	41,024	40,417	77,971	45,105	43,078	43,910	45,104	37,154	34,689	82,423	1.386	1.459	1.459	1.459	1.44	1.816	1.66	1.592	1.624	1.633	1.302	1.246	3.032
Sundanese	sun_Latn	Latn	1,012	137,858	37,246	41,777	41,777	41,777	42,438	70,388	48,983	42,393	46,829	49,749	44,069	46,729	49,424	1.386	1.485	1.485	1.485	1.512	1.64	1.802	1.567	1.731	1.801	1.544	1.679	1.818
Ta’izzi-Adeni Arabic	acq_Arab	Arab	1,012	116,134	37,357	40,777	40,777	40,777	40,411	77,450	44,948	43,130	43,840	45,033	37,328	34,934	81,638	1.39	1.45	1.45	1.45	1.44	1.804	1.654	1.594	1.621	1.63	1.308	1.255	3.003
Danish	dan_Latn	Latn	1,012	136,470	37,488	40,123	40,123	40,123	39,795	59,406	44,034	38,581	44,057	44,660	40,015	41,456	44,247	1.395	1.427	1.427	1.427	1.418	1.384	1.62	1.426	1.629	1.617	1.402	1.49	1.628
Egyptian Arabic	arz_Arab	Arab	1,012	114,781	37,779	40,000	40,000	40,000	40,221	75,742	44,740	43,387	43,968	45,143	38,000	35,697	80,253	1.406	1.422	1.422	1.422	1.433	1.764	1.646	1.604	1.626	1.634	1.331	1.283	2.952
Norwegian Nynorsk	nno_Latn	Latn	1,012	134,475	37,811	41,036	41,036	41,036	40,429	60,713	44,340	39,324	43,900	45,042	41,449	41,001	44,617	1.407	1.459	1.459	1.459	1.44	1.414	1.632	1.454	1.623	1.63	1.452	1.473	1.641
Haitian Creole	hat_Latn	Latn	1,012	122,297	37,949	42,585	42,585	42,585	42,710	64,974	46,093	41,935	45,544	47,486	45,364	44,468	47,254	1.412	1.514	1.514	1.514	1.521	1.514	1.696	1.55	1.684	1.719	1.589	1.598	1.738
Chinese (Traditional)	zho_Hant	Hant	1,012	41,733	38,120	31,471	31,471	31,471	30,274	48,714	36,682	30,893	28,749	31,699	28,638	41,015	58,245	1.418	1.119	1.119	1.119	1.078	1.135	1.35	1.142	1.063	1.147	1.003	1.474	2.142
Tunisian Arabic	aeb_Arab	Arab	1,012	113,113	38,188	41,186	41,186	41,186	41,054	74,702	44,870	43,771	44,346	45,570	38,263	36,157	79,190	1.421	1.464	1.464	1.464	1.463	1.74	1.651	1.618	1.64	1.65	1.341	1.299	2.913
Russian	rus_Cyrl	Cyrl	1,012	143,107	38,191	38,034	38,034	38,034	37,626	56,562	43,921	33,215	42,791	48,476	38,537	41,858	66,933	1.421	1.352	1.352	1.352	1.34	1.318	1.616	1.228	1.582	1.755	1.35	1.504	2.462
Asturian	ast_Latn	Latn	1,012	137,669	38,261	39,851	39,851	39,851	39,672	60,009	42,744	38,217	42,068	43,360	40,363	39,657	43,202	1.424	1.417	1.417	1.417	1.413	1.398	1.573	1.413	1.555	1.57	1.414	1.425	1.589
Afrikaans	afr_Latn	Latn	1,012	140,702	38,367	42,234	42,234	42,234	41,957	65,141	45,684	40,438	44,140	46,315	43,185	42,267	45,906	1.427	1.502	1.502	1.502	1.495	1.517	1.681	1.495	1.632	1.677	1.513	1.519	1.689
Pangasinan	pag_Latn	Latn	1,012	130,935	38,391	40,333	40,333	40,333	40,484	61,766	41,897	39,378	41,074	42,691	41,607	41,298	42,254	1.428	1.434	1.434	1.434	1.442	1.439	1.542	1.456	1.519	1.545	1.458	1.484	1.554
Turkish	tur_Latn	Latn	1,012	136,789	38,462	38,170	38,170	38,170	37,446	72,967	38,116	35,606	55,188	44,867	40,489	41,531	52,226	1.431	1.357	1.357	1.357	1.334	1.7	1.403	1.316	2.041	1.624	1.419	1.492	1.921
Banjar (Latin script)	bjn_Latn	Latn	1,012	139,213	38,918	39,321	39,321	39,321	39,012	68,946	46,189	38,223	43,085	46,924	39,357	43,257	46,484	1.448	1.398	1.398	1.398	1.39	1.606	1.7	1.413	1.593	1.699	1.379	1.554	1.71
Italian	ita_Latn	Latn	1,012	157,149	39,483	38,324	38,324	38,324	37,978	65,343	44,516	36,657	41,744	44,910	37,512	38,803	44,599	1.469	1.363	1.363	1.363	1.353	1.522	1.638	1.355	1.543	1.626	1.314	1.394	1.64
Korean	kor_Hang	Hang	1,012	66,976	39,574	38,279	38,279	38,279	35,381	69,207	40,446	34,240	44,429	45,027	34,902	35,562	64,345	1.472	1.361	1.361	1.361	1.26	1.612	1.488	1.266	1.643	1.63	1.223	1.278	2.367
Dari	prs_Arab	Arab	1,012	121,676	39,671	39,720	39,720	39,720	39,594	76,598	40,599	39,680	43,928	68,596	42,050	39,573	85,585	1.476	1.412	1.412	1.412	1.41	1.784	1.494	1.467	1.624	2.483	1.473	1.422	3.148
Croatian	hrv_Latn	Latn	1,012	129,925	39,829	41,223	41,223	41,223	40,358	61,899	48,120	41,740	48,509	50,578	43,573	41,789	50,204	1.482	1.466	1.466	1.466	1.438	1.442	1.771	1.543	1.794	1.831	1.527	1.501	1.847
Moroccan Arabic	ary_Arab	Arab	1,012	114,577	39,862	42,298	42,298	42,298	42,527	76,626	46,340	45,122	45,793	46,816	40,169	38,111	80,399	1.483	1.504	1.504	1.504	1.515	1.785	1.705	1.668	1.693	1.695	1.407	1.369	2.957
Catalan	cat_Latn	Latn	1,012	146,807	39,850	42,872	42,872	42,872	42,850	60,028	46,239	41,180	43,799	46,611	43,691	40,078	46,483	1.483	1.524	1.524	1.524	1.526	1.398	1.701	1.522	1.619	1.687	1.531	1.44	1.71
Hebrew	heb_Hebr	Hebr	1,012	103,065	39,869	48,006	48,006	48,006	45,902	71,514	99,039	46,978	47,849	40,716	51,280	45,411	99,039	1.483	1.707	1.707	1.707	1.635	1.666	3.644	1.737	1.769	1.474	1.797	1.632	3.643
Swahili	swh_Latn	Latn	1,012	139,117	39,933	45,446	45,446	45,446	46,503	75,690	52,472	45,253	52,483	53,496	51,146	50,571	53,132	1.486	1.616	1.616	1.616	1.657	1.763	1.931	1.673	1.941	1.936	1.792	1.817	1.954
Vietnamese	vie_Latn	Latn	1,012	139,606	40,035	38,200	38,200	38,200	37,791	78,015	37,814	35,929	57,290	39,653	37,010	39,808	66,437	1.49	1.358	1.358	1.358	1.346	1.817	1.391	1.328	2.118	1.435	1.297	1.43	2.444
Estonian	est_Latn	Latn	1,012	130,470	40,193	43,719	43,719	43,719	44,582	66,641	50,488	42,256	50,058	51,216	46,098	44,610	50,902	1.495	1.554	1.554	1.554	1.588	1.552	1.858	1.562	1.851	1.854	1.615	1.603	1.872
Bosnian	bos_Latn	Latn	1,012	133,210	40,323	41,357	41,357	41,357	40,451	63,216	48,917	42,371	49,175	51,298	44,232	42,374	50,942	1.5	1.47	1.47	1.47	1.441	1.473	1.8	1.566	1.818	1.857	1.55	1.522	1.874
Slovenian	slv_Latn	Latn	1,012	131,866	40,620	43,553	43,553	43,553	42,861	63,461	48,844	42,484	49,055	51,560	45,211	43,403	51,227	1.511	1.549	1.549	1.549	1.527	1.478	1.797	1.57	1.814	1.866	1.584	1.559	1.884
Esperanto	epo_Latn	Latn	1,012	132,303	41,010	43,399	43,399	43,399	44,840	69,416	50,182	42,934	47,497	49,548	48,444	41,925	50,717	1.526	1.543	1.543	1.543	1.597	1.617	1.847	1.587	1.756	1.794	1.697	1.506	1.865
Western Persian	pes_Arab	Arab	1,012	124,841	41,137	40,515	40,515	40,515	40,033	81,385	41,382	40,367	48,363	71,211	44,878	40,020	88,541	1.531	1.441	1.441	1.441	1.426	1.896	1.523	1.492	1.788	2.578	1.572	1.438	3.257
Kabuverdianu	kea_Latn	Latn	1,012	131,836	41,601	43,478	43,478	43,478	43,184	65,114	45,880	41,976	44,854	47,130	43,994	43,486	46,932	1.548	1.546	1.546	1.546	1.538	1.517	1.688	1.552	1.658	1.706	1.541	1.562	1.726
Hausa	hau_Latn	Latn	1,012	141,080	41,664	47,900	47,900	47,900	48,640	74,848	53,585	46,721	52,568	53,711	52,837	52,778	54,215	1.55	1.703	1.703	1.703	1.733	1.744	1.972	1.727	1.944	1.944	1.851	1.896	1.994
Venetian	vec_Latn	Latn	1,012	134,267	41,821	42,992	42,992	42,992	42,561	62,876	46,151	41,489	45,036	46,458	43,241	43,666	46,365	1.556	1.529	1.529	1.529	1.516	1.465	1.698	1.534	1.665	1.682	1.515	1.569	1.705
Minangkabau (Latin script)	min_Latn	Latn	1,012	142,193	41,929	43,054	43,054	43,054	42,687	70,894	47,919	42,088	45,409	48,807	43,549	45,019	48,367	1.56	1.531	1.531	1.531	1.521	1.652	1.763	1.556	1.679	1.767	1.526	1.618	1.779
Finnish	fin_Latn	Latn	1,012	141,152	41,970	46,201	46,201	46,201	45,185	74,919	53,948	43,391	50,519	54,566	46,266	45,939	54,209	1.562	1.643	1.643	1.643	1.61	1.745	1.985	1.604	1.868	1.975	1.621	1.651	1.994
Balinese	ban_Latn	Latn	1,012	146,668	42,283	43,310	43,310	43,310	42,826	69,901	48,178	41,904	45,910	49,120	43,363	46,219	48,715	1.573	1.54	1.54	1.54	1.526	1.628	1.773	1.549	1.697	1.778	1.519	1.661	1.792
Hindi	hin_Deva	Deva	1,012	132,090	42,301	36,548	36,548	36,548	40,365	92,746	68,644	44,668	75,599	122,288	56,369	50,027	129,679	1.574	1.299	1.299	1.299	1.438	2.161	2.526	1.651	2.795	4.427	1.975	1.797	4.77
Papiamento	pap_Latn	Latn	1,012	140,185	42,574	44,320	44,320	44,320	44,416	65,973	47,068	43,570	46,417	47,782	45,546	44,841	47,514	1.584	1.576	1.576	1.576	1.582	1.537	1.732	1.611	1.716	1.73	1.596	1.611	1.748
Kazakh	kaz_Cyrl	Cyrl	1,012	136,448	42,615	56,274	56,274	56,274	58,908	73,906	83,846	49,457	71,823	83,189	61,500	57,087	102,840	1.585	2.001	2.001	2.001	2.099	1.722	3.085	1.828	2.656	3.011	2.155	2.051	3.783
Czech	ces_Latn	Latn	1,012	128,268	42,924	42,370	42,370	42,370	41,444	60,561	40,896	39,698	45,952	57,080	43,397	43,035	57,148	1.597	1.506	1.506	1.506	1.476	1.411	1.505	1.467	1.699	2.066	1.521	1.546	2.102
Occitan	oci_Latn	Latn	1,012	151,662	43,034	46,546	46,546	46,546	46,701	66,103	49,504	45,348	48,307	50,032	47,506	45,774	49,751	1.601	1.655	1.655	1.655	1.664	1.54	1.822	1.676	1.786	1.811	1.664	1.645	1.83
Nigerian Fulfulde	fuv_Latn	Latn	1,012	123,173	43,049	45,711	45,711	45,711	46,111	66,679	49,723	44,595	49,696	48,401	49,871	48,331	50,413	1.602	1.625	1.625	1.625	1.643	1.553	1.83	1.648	1.837	1.752	1.747	1.737	1.854
Basque	eus_Latn	Latn	1,012	140,857	43,099	46,511	46,511	46,511	47,860	70,683	50,578	46,407	46,971	51,557	49,398	42,557	51,145	1.604	1.654	1.654	1.654	1.705	1.647	1.861	1.715	1.737	1.866	1.731	1.529	1.881
Limburgish	lim_Latn	Latn	1,012	138,718	43,144	46,022	46,022	46,022	45,899	68,417	48,940	44,496	48,000	49,594	46,823	47,108	49,247	1.605	1.636	1.636	1.636	1.635	1.594	1.801	1.645	1.775	1.795	1.641	1.693	1.811
Icelandic	isl_Latn	Latn	1,012	130,796	43,233	51,436	51,436	51,436	49,536	68,448	56,866	49,312	56,883	57,926	52,036	52,412	58,154	1.608	1.829	1.829	1.829	1.765	1.595	2.093	1.823	2.103	2.097	1.823	1.883	2.139
Nyanja	nya_Latn	Latn	1,012	148,214	43,325	51,571	51,571	51,571	51,840	79,798	55,771	49,444	55,935	57,008	55,299	55,148	56,598	1.612	1.834	1.834	1.834	1.847	1.859	2.052	1.828	2.068	2.064	1.938	1.981	2.082
Nepali	npi_Deva	Deva	1,012	127,914	43,402	42,460	42,460	42,460	42,266	101,457	70,393	49,453	80,252	122,951	61,639	59,261	130,509	1.615	1.51	1.51	1.51	1.506	2.363	2.59	1.828	2.967	4.451	2.16	2.129	4.8
Lingala	lin_Latn	Latn	1,012	143,208	43,459	47,773	47,773	47,773	48,938	73,293	50,557	48,153	50,454	51,291	50,253	49,872	50,857	1.617	1.699	1.699	1.699	1.743	1.707	1.86	1.78	1.865	1.857	1.761	1.792	1.871
Romanian	ron_Latn	Latn	1,012	149,618	43,869	43,747	43,747	43,747	43,319	64,536	50,785	39,757	50,328	51,399	44,398	44,775	51,023	1.632	1.555	1.555	1.555	1.543	1.503	1.869	1.47	1.861	1.861	1.556	1.609	1.877
Xhosa	xho_Latn	Latn	1,012	140,136	44,012	52,217	52,217	52,217	52,918	79,001	55,329	50,012	55,299	56,191	55,287	54,958	55,877	1.637	1.857	1.857	1.857	1.885	1.84	2.036	1.849	2.045	2.034	1.937	1.975	2.055
Polish	pol_Latn	Latn	1,012	140,496	44,035	41,863	41,863	41,863	39,922	68,194	51,379	37,773	45,548	48,784	42,655	43,847	52,062	1.638	1.488	1.488	1.488	1.422	1.589	1.891	1.396	1.684	1.766	1.495	1.575	1.915
Urdu	urd_Arab	Arab	1,012	130,931	44,423	42,175	42,175	42,175	45,873	101,395	84,485	51,042	64,919	87,937	55,505	48,832	118,933	1.653	1.5	1.5	1.5	1.634	2.362	3.109	1.887	2.4	3.183	1.945	1.755	4.375
Faroese	fao_Latn	Latn	1,012	135,309	44,473	51,505	51,505	51,505	50,739	69,597	55,488	50,402	55,513	56,630	52,548	52,239	56,487	1.655	1.831	1.831	1.831	1.808	1.621	2.042	1.863	2.053	2.05	1.841	1.877	2.078
Japanese	jpn_Jpan	Jpan	1,012	57,954	44,562	33,908	33,908	33,908	31,691	54,234	41,054	35,319	38,442	38,753	33,025	43,666	61,593	1.658	1.206	1.206	1.206	1.129	1.263	1.511	1.306	1.421	1.403	1.157	1.569	2.266
Igbo	ibo_Latn	Latn	1,012	135,571	44,772	59,759	59,759	59,759	62,133	90,958	65,227	55,362	65,449	65,863	65,505	66,604	67,003	1.666	2.125	2.125	2.125	2.213	2.119	2.4	2.047	2.42	2.384	2.295	2.393	2.465
Ganda	lug_Latn	Latn	1,012	136,113	44,771	50,459	50,459	50,459	50,551	75,915	52,782	49,702	52,710	53,805	52,301	52,158	53,459	1.666	1.794	1.794	1.794	1.801	1.768	1.942	1.837	1.949	1.948	1.832	1.874	1.966
Luxembourgish	ltz_Latn	Latn	1,012	148,557	44,827	50,163	50,163	50,163	50,104	77,324	53,537	49,421	52,735	54,185	51,072	51,142	53,951	1.668	1.784	1.784	1.784	1.785	1.801	1.97	1.827	1.95	1.961	1.789	1.838	1.984
Turkmen	tuk_Latn	Latn	1,012	141,273	44,822	56,854	56,854	56,854	56,956	81,759	58,277	55,341	62,961	60,700	57,901	57,973	65,445	1.668	2.021	2.021	2.021	2.029	1.905	2.144	2.046	2.328	2.197	2.029	2.083	2.407
Kyrgyz	kir_Cyrl	Cyrl	1,012	136,561	44,976	53,676	53,676	53,676	58,969	75,206	78,819	54,151	69,842	76,013	63,734	60,657	95,276	1.673	1.908	1.908	1.908	2.101	1.752	2.9	2.002	2.582	2.752	2.233	2.179	3.504
Cebuano	ceb_Latn	Latn	1,012	159,696	45,023	48,992	48,992	48,992	49,651	81,767	51,883	47,256	49,387	52,908	51,331	51,162	52,473	1.675	1.742	1.742	1.742	1.769	1.905	1.909	1.747	1.826	1.915	1.799	1.838	1.93
Lithuanian	lit_Latn	Latn	1,012	131,340	45,072	46,371	46,371	46,371	46,318	69,838	58,317	43,612	53,002	56,438	47,106	48,147	59,555	1.677	1.649	1.649	1.649	1.65	1.627	2.146	1.612	1.96	2.043	1.65	1.73	2.191
Luo	luo_Latn	Latn	1,012	138,557	45,065	47,539	47,539	47,539	47,686	73,153	49,307	46,742	49,374	49,956	48,955	49,087	49,561	1.677	1.69	1.69	1.69	1.699	1.704	1.814	1.728	1.826	1.808	1.715	1.764	1.823
Slovak	slk_Latn	Latn	1,012	132,721	45,086	44,844	44,844	44,844	43,679	67,065	50,104	42,300	51,543	57,307	46,137	46,498	57,917	1.677	1.594	1.594	1.594	1.556	1.562	1.844	1.564	1.906	2.074	1.617	1.671	2.13
Tagalog	tgl_Latn	Latn	1,012	167,528	45,548	50,562	50,562	50,562	51,335	84,192	55,345	48,235	54,282	56,465	53,866	53,929	56,027	1.695	1.798	1.798	1.798	1.829	1.961	2.037	1.783	2.007	2.044	1.887	1.938	2.061
Bengali	ben_Beng	Beng	1,012	130,053	45,613	33,847	33,847	33,847	42,097	114,778	156,463	55,571	54,553	139,752	61,043	57,110	158,564	1.697	1.203	1.203	1.203	1.5	2.674	5.757	2.054	2.017	5.059	2.139	2.052	5.832
Luba-Kasai	lua_Latn	Latn	1,012	144,009	45,661	48,311	48,311	48,311	49,381	76,703	52,426	48,321	51,928	53,457	50,878	51,310	53,068	1.699	1.718	1.718	1.718	1.759	1.787	1.929	1.786	1.92	1.935	1.783	1.844	1.952
Shona	sna_Latn	Latn	1,012	148,635	45,704	51,807	51,807	51,807	52,654	81,260	56,448	50,682	56,461	58,373	55,547	55,273	58,015	1.7	1.842	1.842	1.842	1.876	1.893	2.077	1.874	2.088	2.113	1.946	1.986	2.134
Awadhi	awa_Deva	Deva	1,012	129,224	45,866	40,847	40,847	40,847	44,451	94,887	68,934	49,298	78,435	119,857	61,115	56,645	129,962	1.706	1.452	1.452	1.452	1.584	2.21	2.537	1.822	2.9	4.339	2.141	2.035	4.78
Sindhi	snd_Arab	Arab	1,012	120,599	45,962	55,927	55,927	55,927	60,508	106,220	77,702	56,483	78,139	78,593	72,917	69,482	108,242	1.71	1.989	1.989	1.989	2.156	2.474	2.859	2.088	2.889	2.845	2.555	2.496	3.981
Kinyarwanda	kin_Latn	Latn	1,012	146,894	46,035	54,330	54,330	54,330	55,000	82,586	57,448	53,699	57,472	58,270	56,687	56,398	57,944	1.713	1.932	1.932	1.932	1.959	1.924	2.114	1.985	2.125	2.109	1.986	2.026	2.131
North Azerbaijani	azj_Latn	Latn	1,012	144,798	46,080	55,935	55,935	55,935	54,174	82,223	65,679	49,121	67,211	68,848	55,372	50,365	71,733	1.714	1.989	1.989	1.989	1.93	1.915	2.417	1.816	2.485	2.492	1.94	1.81	2.639
Bulgarian	bul_Cyrl	Cyrl	1,012	138,837	46,066	44,934	44,934	44,934	44,627	54,508	55,393	40,596	53,439	60,936	46,765	45,750	71,551	1.714	1.598	1.598	1.598	1.59	1.27	2.038	1.501	1.976	2.206	1.639	1.644	2.632
Southern Pashto	pbt_Arab	Arab	1,012	123,467	46,124	51,004	51,004	51,004	55,977	86,476	73,029	54,882	68,326	77,432	65,161	55,140	102,208	1.716	1.813	1.813	1.813	1.994	2.014	2.687	2.029	2.526	2.803	2.283	1.981	3.759
Magahi	mag_Deva	Deva	1,012	127,706	46,161	41,064	41,064	41,064	45,270	93,607	69,567	50,469	78,006	116,709	62,041	56,864	128,272	1.717	1.46	1.46	1.46	1.613	2.181	2.56	1.866	2.884	4.225	2.174	2.043	4.718
Waray	war_Latn	Latn	1,012	165,777	46,230	49,494	49,494	49,494	50,556	80,936	52,555	48,728	50,085	53,568	51,887	51,466	53,141	1.72	1.76	1.76	1.76	1.801	1.885	1.934	1.801	1.852	1.939	1.818	1.849	1.955
Zulu	zul_Latn	Latn	1,012	149,375	46,245	54,569	54,570	54,569	56,153	83,057	59,421	53,102	59,210	60,441	59,189	58,468	60,155	1.721	1.94	1.94	1.94	2	1.935	2.187	1.963	2.189	2.188	2.074	2.101	2.213
Crimean Tatar	crh_Latn	Latn	1,012	135,467	46,302	48,653	48,653	48,653	48,256	76,342	49,643	46,457	58,214	53,750	50,190	50,271	57,363	1.723	1.73	1.73	1.73	1.719	1.778	1.827	1.717	2.152	1.946	1.759	1.806	2.11
Somali	som_Latn	Latn	1,012	152,673	46,331	53,385	53,385	53,385	54,114	85,752	59,438	52,822	60,295	60,391	58,408	59,913	60,034	1.724	1.898	1.898	1.898	1.928	1.998	2.187	1.953	2.229	2.186	2.046	2.153	2.208
Chhattisgarhi	hne_Deva	Deva	1,012	127,972	46,499	41,371	41,371	41,371	45,026	95,816	67,298	50,979	78,706	117,328	62,098	56,499	127,864	1.73	1.471	1.471	1.471	1.604	2.232	2.476	1.884	2.91	4.247	2.176	2.03	4.703
Chokwe	cjk_Latn	Latn	1,012	140,293	46,525	49,016	49,016	49,016	49,167	75,776	52,815	48,315	51,995	53,061	51,292	52,131	53,319	1.731	1.743	1.743	1.743	1.752	1.765	1.943	1.786	1.922	1.921	1.797	1.873	1.961
Friulian	fur_Latn	Latn	1,012	145,549	46,561	47,342	47,342	47,342	47,461	65,722	49,725	46,029	49,622	50,644	47,889	47,814	50,278	1.732	1.683	1.683	1.683	1.691	1.531	1.83	1.702	1.835	1.833	1.678	1.718	1.849
Wolof	wol_Latn	Latn	1,012	128,184	46,558	49,125	49,125	49,125	48,929	73,593	51,631	47,886	50,906	52,703	51,466	51,871	52,529	1.732	1.747	1.747	1.747	1.743	1.714	1.9	1.77	1.882	1.908	1.803	1.864	1.932
Welsh	cym_Latn	Latn	1,012	142,284	46,740	54,700	54,700	54,700	56,410	82,816	57,686	52,917	56,792	58,282	57,500	55,618	58,031	1.739	1.945	1.945	1.945	2.01	1.929	2.123	1.956	2.1	2.11	2.015	1.998	2.135

End of preview. Expand in Data Studio

Token tax: LLM token premiums for 200 languages relative to English (FLORES-200)

Hindi needs 57 % more tokens than English for the same text on ChatGPT. In other words, for Hindi speakers:

each answer costs 57 % more
chat memory fills up 57 % faster
answers take about 57 % longer

The token tax for Standard Arabic is 38 % more, Spanish 32 % and Chinese (Simplified) 25 % more. The most taxed language is Santali, spoken in eastern India, Bangladesh and Nepal: it pays 1 273 % more! Check more languages and models on the interactive world map: sara.moricz.se/token-tax.

Why this dataset

This dataset measures the token tax for 204 languages on the tokenizers behind ChatGPT, Gemini, Claude, Meta's Llama, DeepSeek, Qwen and Mistral. Petrov et al. (2023) measured the token tax (but calls it the token premium) on the tokenizers of 2023. Most of the models people use today have new tokenizers since then: GPT-4o and GPT-5 (o200k), Gemini 3 and 4, Claude since Opus 4.7, Llama 4, Qwen 3.5. This dataset measures the premium again on those tokenizers, with the same method and text, so the numbers are current, comparable with Petrov et al. and reproducible.

Load it

from datasets import load_dataset

premiums = load_dataset("sara-moricz/token-tax", "data", split="train")
tokenizers = load_dataset("sara-moricz/token-tax", "tokenizers", split="train")

Method

premium = tokens(language) ÷ tokens(English), on the same text, per tokenizer, following Petrov et al., Language Model Tokenizers Introduce Unfairness Between Languages (NeurIPS 2023).

Text: the FLORES-200 devtest split, 1,012 sentences per language. The 204 rows are 196 languages in 29 scripts, 8 of them in two scripts. English is the reference (premium 1.0).
Tokenizers: 13 columns: ChatGPT / Copilot (o200k), GPT-4 2023 (cl100k), Gemini 3.x Flash and Gemini 4 Argon, Gemma 3 and Gemma 4, Claude, Llama 3 and Llama 4, DeepSeek V3/V4, Qwen 3 and Qwen 3.5, Mistral Tekken. Counted 2026-10-22 to 2026-10-26.
Claude and Gemini: their tokenizers are not public, so they are counted through Anthropic's and Google's free token-counting APIs, with the fixed request overhead subtracted.
Check: the GPT-4 (cl100k) premiums match Petrov et al.'s own counts to a median 0.30 %.

Columns of data

Column	What it is
`language`	Language name in English, as in FLORES-200
`flores_code`	FLORES-200 code: ISO 639-3 language + ISO 15924 script, e.g. `swe_Latn`
`script`	ISO 15924 script code, e.g. `Latn`, `Deva`
`sentences`	Sentences counted (1,012 for every language)
`characters`	Characters in the language's text
`<tokenizer>_tokens`	Tokens for the whole text on that tokenizer; the tokenizers table says which models use it
`<tokenizer>_premium`	Tokens ÷ the same tokenizer's English tokens. 1.35 means 35 % more tokens than English

Source and reproduction

The counting scripts and raw counts are on GitHub; a fresh run reproduces this data exactly. Every version is archived on Zenodo.

Cite

Moricz, S. (2026). Token tax: LLM token premiums for 200 languages relative to English (FLORES-200) (Version 1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.24238603

Please also cite Petrov et al. (2023), whose method this follows, and FLORES-200 (NLLB Team, 2022).

Licence

CC BY-SA 4.0, matching FLORES-200.

Downloads last month: 14

Paper for sara-moricz/token-tax

Language Model Tokenizers Introduce Unfairness Between Languages

Paper • 2305.15425 • Published May 17, 2023 • 1