Laguna S 2.1 (low) vs Qwen3.5-9B

Modeli zilizolinganishwa

Nafasi: #377
Jumla ya tokeni za matokeo: 437,706
Muda wa majibu (wastani): 88.24s
Jumla ya gharama: $0.108

Nafasi: #362
Jumla ya tokeni za matokeo: 70,427
Muda wa majibu (wastani): 37.19s
Jumla ya gharama: $0.041

Muundo unaopendekezwa Qwen3.5-9B

It has the best score here (4.9), while costing about 2.6x less than Laguna S 2.1 (low).

Ulinganisho wa kina

Kipimo	Laguna S 2.1 Laguna S 2.1 low Toleo: 2026-07-21 Inapatikana bure	Qwen3.5-9B Qwen3.5-9B none Toleo: 2026-03-02

Kipimo	Laguna S 2.1 Laguna S 2.1 low Toleo: 2026-07-21 Inapatikana bure	Qwen3.5-9B Qwen3.5-9B none Toleo: 2026-03-02
Alama	4.6	4.9
Nafasi	#377	#362
Uaminifu	10.0	9.8
Uthabiti	7.8	9.7
Majaribio	69/69	69/69
Majaribio sahihi
Kiwango cha kupita kwa kila jaribio	23.2%	18.8%
Majaribio yasiyo thabiti	6	1
Jumla ya uendeshaji	69	69
Gharama kwa matokeo	3.627	1.022
Jumla ya gharama	$0.108	$0.041
Bei ya ingizo	$0.090 / 1M	$0.100 / 1M
Bei ya toleo	$0.180 / 1M	$0.150 / 1M
Bei ya kusoma akiba	$0.009 / 1M	Haipo
Bei ya kuandika akiba	Haipo	Haipo
Jumla ya tokeni za ingizo	232,641	307,670
Tokeni za matokeo	69,335	70,427
Tokeni za hoja	426,182	0
Muda wa majibu (wastani)	88.24s	37.19s
Muda wa majibu (upeo)	814.73s	433.02s
Muda wa majibu (jumla)	2029.57s	855.27s
Vigezo	118B jumla (8B vinavyotumika)	9B
Upatikanaji	Uzani unapatikana	Chanzo huria

Bei za akiba zinahusu tokeni za ingizo. Kusoma hutumia tena maelekezo yaliyohifadhiwa; kuandika huyahifadhi na kunaweza kuongeza gharama. Tokeni za matokeo hutumia bei ya matokeo.

Onyesho la kizazi cha modeli

Hamster playing table tennis

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

#377 Laguna S 2.1

low

Gharama: $0.001
Muda: 6.6s
Tokeni: 1,314 tok

#362 Qwen3.5-9B

none

Reached the allocated time limit (300 seconds) without receiving showcase output.

Gharama: $0.000
Muda: 300.0s
Tokeni: 0 tok

Modeli bora kwa alama

Alama dhidi ya gharama ya jumla

Muda wa majibu (wastani)

Alama vs Muda wa majibu (wastani)

Jumla ya tokeni za matokeo

Alama vs Jumla ya tokeni za matokeo

Mgawanyo wa kategoria

Kategoria:

Kazi za mawakala	Alama	Uthabiti	Kiwango cha kupita kwa kila jaribio	Majaribio yasiyo thabiti	Majaribio sahihi	Muda wa majibu (wastani)	Tokeni za ingizo	Tokeni za matokeo	Tokeni za hoja
Laguna S 2.1	2.8	1.6	33.3%	1		152.08s	113,889	1,512	42,297
Qwen3.5-9B	3.9	9.6	0.0%	0		433.02s	163,254	32,943	0

Mbinu za kupinga AI	Alama	Uthabiti	Kiwango cha kupita kwa kila jaribio	Majaribio yasiyo thabiti	Majaribio sahihi	Muda wa majibu (wastani)	Tokeni za ingizo	Tokeni za matokeo	Tokeni za hoja
Laguna S 2.1	3.4	7.4	8.3%	1		80.66s	616	311	43,722
Qwen3.5-9B	3.1	9.9	0.0%	0		1.71s	696	582	0

Uandishi wa msimbo	Alama	Uthabiti	Kiwango cha kupita kwa kila jaribio	Majaribio yasiyo thabiti	Majaribio sahihi	Muda wa majibu (wastani)	Tokeni za ingizo	Tokeni za matokeo	Tokeni za hoja
Laguna S 2.1	3.8	7.1	22.2%	1		167.51s	7,917	58,111	119,138
Qwen3.5-9B	3.9	7.8	11.1%	1		5.60s	7,913	1,042	0

Mchanganyiko	Alama	Uthabiti	Kiwango cha kupita kwa kila jaribio	Majaribio yasiyo thabiti	Majaribio sahihi	Muda wa majibu (wastani)	Tokeni za ingizo	Tokeni za matokeo	Tokeni za hoja
Laguna S 2.1	3.2	5.2	16.7%	1		412.50s	92,870	8,211	174,584
Qwen3.5-9B	3.0	10.0	0.0%	0		193.98s	116,763	34,787	0

Uchanganuzi na uchimbaji wa data	Alama	Uthabiti	Kiwango cha kupita kwa kila jaribio	Majaribio yasiyo thabiti	Majaribio sahihi	Muda wa majibu (wastani)	Tokeni za ingizo	Tokeni za matokeo	Tokeni za hoja
Laguna S 2.1	10.0	10.0	100.0%	0		2.76s	7,689	243	1,981
Qwen3.5-9B	10.0	10.0	100.0%	0		847ms	7,788	249	0

Mahususi kwa domeni	Alama	Uthabiti	Kiwango cha kupita kwa kila jaribio	Majaribio yasiyo thabiti	Majaribio sahihi	Muda wa majibu (wastani)	Tokeni za ingizo	Tokeni za matokeo	Tokeni za hoja
Laguna S 2.1	3.0	10.0	0.0%	0		2.46s	771	24	2,606
Qwen3.5-9B	3.0	10.0	0.0%	0		636ms	798	24	0

Akili ya jumla	Alama	Uthabiti	Kiwango cha kupita kwa kila jaribio	Majaribio yasiyo thabiti	Majaribio sahihi	Muda wa majibu (wastani)	Tokeni za ingizo	Tokeni za matokeo	Tokeni za hoja
Laguna S 2.1	4.8	10.0	0.0%	0		650ms	513	120	0
Qwen3.5-9B	4.4	9.9	0.0%	0		552ms	522	99	0

Ufuataji wa maagizo	Alama	Uthabiti	Kiwango cha kupita kwa kila jaribio	Majaribio yasiyo thabiti	Majaribio sahihi	Muda wa majibu (wastani)	Tokeni za ingizo	Tokeni za matokeo	Tokeni za hoja
Laguna S 2.1	4.3	6.8	16.7%	1		423ms	702	60	0
Qwen3.5-9B	6.5	10.0	50.0%	0		514ms	711	75	0

Utatuzi wa mafumbo	Alama	Uthabiti	Kiwango cha kupita kwa kila jaribio	Majaribio yasiyo thabiti	Majaribio sahihi	Muda wa majibu (wastani)	Tokeni za ingizo	Tokeni za matokeo	Tokeni za hoja
Laguna S 2.1	3.1	7.3	11.1%	1		2.70s	699	447	1,444
Qwen3.5-9B	3.2	10.0	0.0%	0		621ms	714	347	0

Mwito wa zana	Alama	Uthabiti	Kiwango cha kupita kwa kila jaribio	Majaribio yasiyo thabiti	Majaribio sahihi	Muda wa majibu (wastani)	Tokeni za ingizo	Tokeni za matokeo	Tokeni za hoja
Laguna S 2.1	10.0	10.0	100.0%	0		2.36s	6,747	286	417
Qwen3.5-9B	10.0	10.0	100.0%	0		1.27s	8,301	273	0

Maarifa ya jumla	Alama	Uthabiti	Kiwango cha kupita kwa kila jaribio	Majaribio yasiyo thabiti	Majaribio sahihi	Muda wa majibu (wastani)	Tokeni za ingizo	Tokeni za matokeo	Tokeni za hoja
Laguna S 2.1	3.0	10.0	0.0%	0		202.49s	228	10	39,993
Qwen3.5-9B	3.0	10.0	0.0%	0		2.32s	210	6	0

Badilisha jozi ya ulinganisho

Ling 2.6 1tdefaultvsQwen3.5-9Bnone Laguna S 2.1highInapatikana burevsQwen3.5-9Bnone GPT-5.4 NanononevsLaguna S 2.1lowInapatikana bure DeepSeek V3.2nonevsLaguna S 2.1lowInapatikana bure Laguna S 2.1lowInapatikana burevsQwen3 Coder Nextmedium Ling 2.6 FlashdefaultvsLaguna S 2.1lowInapatikana bure Granite 4.2 8BhighvsLaguna S 2.1lowInapatikana bure KAT Coder AIR V2.5lowvsQwen3.5-9Bnone GPT-4o-minidefaultvsQwen3.5-9Bnone North Mini CodedefaultInapatikana burevsLaguna S 2.1lowInapatikana bure Dots 3 Note PreviewdefaultInapatikana burevsQwen3.5-9Bnone Ring 2.6 1tdefaultvsLaguna S 2.1lowInapatikana bure