Model yang Dibandingkan

Peringkat: #50
Total token output: 216,119
Waktu respons (rata-rata): 54.04s
Total Biaya: $0.089

Peringkat: #82
Total token output: 448,665
Waktu respons (rata-rata): 118.83s
Total Biaya: $0.576

Peringkat: #61
Total token output: 677,080
Waktu respons (rata-rata): 166.34s
Total Biaya: ~$0.298

Peringkat: #119
Total token output: 68,482
Waktu respons (rata-rata): 28.38s
Total Biaya: $0.495

Model yang direkomendasikan GLM 5.3 Flash (max)

It has the best score here (9.0), while costing about 5.2x less than model lain dalam perbandingan ini.

Perbandingan terperinci

Metrik	GLM 5.3 Flash GLM 5.3 Flash max Rilis: 2026-08-26	DeepSeek V4 Flash 0731 DeepSeek V4 Flash 0731 high Rilis: 2026-08-01	Qwen3.8 27B Qwen3.8 27B high Rilis: 2026-08-14 Tersedia gratis	GLM 5.3 GLM 5.3 high Rilis: 2026-08-20

Metrik	GLM 5.3 Flash GLM 5.3 Flash max Rilis: 2026-08-26	DeepSeek V4 Flash 0731 DeepSeek V4 Flash 0731 high Rilis: 2026-08-01	Qwen3.8 27B Qwen3.8 27B high Rilis: 2026-08-14 Tersedia gratis	GLM 5.3 GLM 5.3 high Rilis: 2026-08-20
Skor	9.0	8.4	8.7	7.8
Peringkat	#50	#82	#61	#119
Keandalan	10.0	10.0	9.7	10.0
Konsistensi	9.0	8.1	9.2	7.6
Percobaan	69/69	69/69	69/69	69/69
Tes benar
Tingkat lulus per percobaan	82.6%	76.8%	78.3%	75.4%
Tes tidak stabil	3	5	2	7
Total Run	69	69	69	69
Biaya per hasil	0.519	1.069	~1.751	4.351
Total Biaya	$0.089	$0.576	~$0.298	$0.495
Harga input	$0.150 / 1M	$0.005 / 1M	T/A	$0.070 / 1M
Harga output	$0.500 / 1M	$1.280 / 1M	T/A	$7.000 / 1M
Harga baca cache	$0.030 / 1M	$0.005 / 1M	T/A	$0.065 / 1M
Harga tulis cache	T/A	T/A	T/A	T/A
Total token input	255,743	281,863	348,967	219,811
Token output	8,684	24,535	1,005	8,811
Token penalaran	207,435	507,976	676,075	59,671
Waktu respons (rata-rata)	54.04s	118.83s	166.34s	28.38s
Waktu respons (maks)	333.47s	600.61s	640.85s	159.91s
Waktu respons (total)	1242.97s	2733.01s	3825.81s	652.78s
Parameter	320B total (18B aktif)	284B total (13B aktif)	27.3B	744B total (40B aktif)
Ketersediaan	Sumber terbuka	Tertutup	Bobot tersedia	Tertutup

Harga cache berlaku untuk token input. Pembacaan memakai kembali prompt tersimpan; penulisan menyimpannya dan dapat menambah biaya. Token output menggunakan harga output.

Showcase generasi model

Hamster playing table tennis

Prompt: Create a detailed SVG illustration of a hamster playing table tennis.

#50 GLM 5.3 Flash

max

Biaya: $0.005
Waktu: 296.5s
Token: 16,250 tok

#82 DeepSeek V4 Flash 0731

high

No output was saved. The original provider response or failure reason is unavailable.

Biaya: $0.000
Waktu: 187.3s
Token: 19,048 tok

#61 Qwen3.8 27B

high

Biaya: ~$0.008
Waktu: 270.1s
Token: 18,963 tok

#119 GLM 5.3

high

Biaya: $0.085
Waktu: 362.5s
Token: 19,310 tok

Model teratas berdasarkan skor

Skor vs Total Biaya

Waktu respons (rata-rata)

Skor vs Waktu respons (rata-rata)

Total token output

Skor vs Total token output

Rincian Kategori

Kategori:

Tugas agen	Skor	Konsistensi	Tingkat lulus per percobaan	Waktu respons (rata-rata)	Token input	Token output	Token penalaran
GLM 5.3 Flash	10.0	10.0	100.0%	96.73s	158,870	1,047	10,732
DeepSeek V4 Flash 0731	10.0	10.0	100.0%	204.36s	185,161	7,569	11,635
Qwen3.8 27B	10.0	10.0	100.0%	132.27s	248,788	101	20,344
GLM 5.3	10.0	10.0	100.0%	40.72s	132,210	2,805	2,010

Trik anti-AI	Skor	Konsistensi	Tingkat lulus per percobaan	Tes tidak stabil	Waktu respons (rata-rata)	Token input	Token output	Token penalaran
GLM 5.3 Flash	10.0	10.0	100.0%	0	4.15s	639	280	1,909
DeepSeek V4 Flash 0731	8.7	7.9	91.7%	1	13.62s	1,488	542	10,576
Qwen3.8 27B	10.0	10.0	100.0%	0	8.10s	1,128	114	5,319
GLM 5.3	10.0	10.0	100.0%	0	3.72s	639	237	481

Pemrograman	Skor	Konsistensi	Tingkat lulus per percobaan	Tes tidak stabil	Waktu respons (rata-rata)	Token input	Token output	Token penalaran
GLM 5.3 Flash	10.0	10.0	100.0%	0	43.37s	7,317	381	23,692
DeepSeek V4 Flash 0731	6.3	6.3	55.6%	1	252.67s	7,044	2,160	191,210
Qwen3.8 27B	8.1	7.0	88.9%	1	248.62s	8,235	346	143,335
GLM 5.3	6.6	5.0	66.7%	2	18.89s	7,317	473	8,190

Gabungan	Skor	Konsistensi	Tingkat lulus per percobaan	Tes tidak stabil	Waktu respons (rata-rata)	Token input	Token output	Token penalaran
GLM 5.3 Flash	7.3	5.8	83.3%	1	138.66s	72,093	5,223	43,858
DeepSeek V4 Flash 0731	10.0	10.0	100.0%	0	87.10s	67,283	11,903	41,397
Qwen3.8 27B	10.0	10.0	100.0%	0	185.57s	68,997	66	72,556
GLM 5.3	6.4	5.8	66.7%	1	63.96s	62,821	3,936	12,203

Parsing dan ekstraksi data	Skor	Konsistensi	Tingkat lulus per percobaan	Waktu respons (rata-rata)	Token input	Token output	Token penalaran
GLM 5.3 Flash	10.0	10.0	100.0%	6.10s	7,149	222	2,002
DeepSeek V4 Flash 0731	10.0	10.0	100.0%	3.65s	7,764	336	1,259
Qwen3.8 27B	10.0	10.0	100.0%	34.85s	9,675	123	10,320
GLM 5.3	10.0	10.0	100.0%	3.55s	7,149	210	189

Spesifik domain	Skor	Konsistensi	Tingkat lulus per percobaan	Tes tidak stabil	Waktu respons (rata-rata)	Token input	Token output	Token penalaran
GLM 5.3 Flash	3.6	7.2	22.2%	1	203.29s	759	311	114,989
DeepSeek V4 Flash 0731	3.5	4.4	33.3%	2	458.65s	700	104	215,629
Qwen3.8 27B	5.3	10.0	33.3%	0	526.74s	975	6	234,555
GLM 5.3	2.9	4.4	22.2%	2	112.33s	759	238	33,423

Kecerdasan umum	Skor	Konsistensi	Tingkat lulus per percobaan	Tes tidak stabil	Waktu respons (rata-rata)	Token input	Token output	Token penalaran
GLM 5.3 Flash	10.0	10.0	100.0%	0	10.02s	498	212	1,118
DeepSeek V4 Flash 0731	10.0	10.0	100.0%	0	5.64s	708	72	533
Qwen3.8 27B	5.0	10.0	0.0%	0	8.45s	630	63	1,191
GLM 5.3	6.1	3.1	66.7%	1	8.00s	498	192	407

Kepatuhan instruksi	Skor	Konsistensi	Tingkat lulus per percobaan	Waktu respons (rata-rata)	Token input	Token output	Token penalaran
GLM 5.3 Flash	9.8	10.0	100.0%	3.65s	678	72	972
DeepSeek V4 Flash 0731	9.8	10.0	100.0%	4.46s	1,101	119	939
Qwen3.8 27B	9.8	10.0	100.0%	8.24s	927	42	2,871
GLM 5.3	9.8	10.0	100.0%	3.62s	678	72	182

Pemecahan teka-teki	Skor	Konsistensi	Tingkat lulus per percobaan	Tes tidak stabil	Waktu respons (rata-rata)	Token input	Token output	Token penalaran
GLM 5.3 Flash	8.7	7.7	88.9%	1	5.61s	672	466	1,677
DeepSeek V4 Flash 0731	8.2	7.7	77.8%	1	9.36s	1,305	397	6,801
Qwen3.8 27B	7.6	7.2	77.8%	1	199.90s	1,038	120	138,427
GLM 5.3	8.2	7.2	88.9%	1	4.74s	672	332	452

Pemanggilan alat	Skor	Konsistensi	Tingkat lulus per percobaan	Waktu respons (rata-rata)	Token input	Token output	Token penalaran
GLM 5.3 Flash	10.0	10.0	100.0%	19.24s	6,861	231	640
DeepSeek V4 Flash 0731	10.0	10.0	100.0%	5.42s	8,889	357	451
Qwen3.8 27B	10.0	10.0	100.0%	5.62s	8,256	21	912
GLM 5.3	10.0	10.0	100.0%	17.05s	6,861	231	91

Pengetahuan umum	Skor	Konsistensi	Tingkat lulus per percobaan	Waktu respons (rata-rata)	Token input	Token output	Token penalaran
GLM 5.3 Flash	3.0	10.0	0.0%	46.77s	207	239	5,846
DeepSeek V4 Flash 0731	3.0	10.0	0.0%	110.63s	420	976	27,546
Qwen3.8 27B	3.0	10.0	0.0%	263.98s	318	3	46,245
GLM 5.3	3.0	10.0	0.0%	21.98s	207	85	2,043

Ganti Pasangan Perbandingan

GPT-5.2mediumvsQwen3.8 27BhighTersedia gratis Gemini 3.6 FlashlowvsGLM 5.3 Flashmax Qwen3.8 27BhighTersedia gratisvsMiMo-V2.6-Promedium Seed 2.1 TurbomediumvsQwen3.8 27BhighTersedia gratis Grok 4.5mediumvsGLM 5.3high Step 3.7 FlashmediumvsGLM 5.3high Claude Opus 5lowvsGLM 5.3 Flashmax Gemini 4 ArgonmediumvsGLM 5.3 Flashmax GPT-6 SollowvsQwen3.8 27BhighTersedia gratis Grok 4.6mediumvsGLM 5.3high Muse WondermaxvsGLM 5.3high Gemini 3.5 Flash LitehighvsGLM 5.3 Flashmax

Model yang Dibandingkan