Granite 4.2 8B (high) vs Qwen3 Coder Next (medium)

Modeli zilizolinganishwa

Nafasi: #357
Jumla ya tokeni za matokeo: 576,052
Muda wa majibu (wastani): 235.35s
Jumla ya gharama: $0.111

Nafasi: #358
Jumla ya tokeni za matokeo: 40,395
Muda wa majibu (wastani): 16.97s
Jumla ya gharama: $0.071

Muundo unaopendekezwa Qwen3 Coder Next (medium)

It has the best score here (4.7), while costing about 1.6x less than Granite 4.2 8B (high).

Ulinganisho wa kina

Kipimo	Granite 4.2 8B Granite 4.2 8B high Toleo: 2026-09-02	Qwen3 Coder Next Qwen3 Coder Next medium Toleo: 2026-02-03

Kipimo	Granite 4.2 8B Granite 4.2 8B high Toleo: 2026-09-02	Qwen3 Coder Next Qwen3 Coder Next medium Toleo: 2026-02-03
Alama	4.7	4.7
Nafasi	#357	#358
Uaminifu	8.2	10.0
Uthabiti	6.4	8.7
Majaribio	69/69	69/69
Majaribio sahihi
Kiwango cha kupita kwa kila jaribio	37.7%	24.6%
Majaribio yasiyo thabiti	10	4
Jumla ya uendeshaji	69	69
Gharama kwa matokeo	2.751	2.280
Jumla ya gharama	$0.111	$0.071
Bei ya ingizo	$0.060 / 1M	$0.120 / 1M
Bei ya toleo	$0.250 / 1M	$0.800 / 1M
Bei ya kusoma akiba	$0.015 / 1M	$0.070 / 1M
Bei ya kuandika akiba	Haipo	Haipo
Jumla ya tokeni za ingizo	282,658	311,647
Tokeni za matokeo	198,563	40,395
Tokeni za hoja	462,804	0
Muda wa majibu (wastani)	235.35s	16.97s
Muda wa majibu (upeo)	685.87s	151.35s
Muda wa majibu (jumla)	5413.09s	305.55s
Vigezo	8B	80B jumla (3B vinavyotumika)
Upatikanaji	Chanzo huria	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.

#357 IBM: Granite 4.2 8B

high

Provider returned error

Gharama: $0.000
Muda: 0.2s
Tokeni: 0 tok

#358 Qwen3 Coder Next

medium

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
Granite 4.2 8B	5.0	10.0	0.0%	0		223.46s	239,380	17,480	31,672
Qwen3 Coder Next	5.0	10.0	0.0%	0		151.35s	163,444	21,326	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
Granite 4.2 8B	6.9	5.8	75.0%	2		205.31s	507	8,350	12,250
Qwen3 Coder Next	3.5	8.1	16.7%	1		8.64s	645	1,252	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
Granite 4.2 8B	3.8	4.3	33.3%	2		515.34s	7,047	42,438	154,749
Qwen3 Coder Next	3.7	7.2	22.2%	1		924ms	7,185	336	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
Granite 4.2 8B	5.0	6.8	33.3%	1		570.43s	18,410	16,478	60,329
Qwen3 Coder Next	3.0	10.0	0.0%	0		14.65s	121,413	16,067	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
Granite 4.2 8B	3.8	5.8	33.3%	1		56.55s	6,779	1,368	3,999
Qwen3 Coder Next	6.5	10.0	50.0%	0		81.80s	7,758	246	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
Granite 4.2 8B	2.9	7.2	11.1%	1		167.15s	498	81,004	122,013
Qwen3 Coder Next	3.6	7.2	22.2%	1		570ms	762	25	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
Granite 4.2 8B	5.5	10.0	0.0%	0		16.37s	534	5,762	5,800
Qwen3 Coder Next	6.3	3.4	66.7%	1		1.39s	498	142	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
Granite 4.2 8B	6.4	5.8	66.7%	1		87.47s	483	2,191	13,223
Qwen3 Coder Next	6.3	10.0	50.0%	0		7.49s	684	63	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
Granite 4.2 8B	2.9	4.4	22.2%	2		202.69s	467	14,348	19,827
Qwen3 Coder Next	3.0	10.0	0.0%	0		1.25s	678	671	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
Granite 4.2 8B	10.0	10.0	100.0%	0		15.08s	8,331	893	4,841
Qwen3 Coder Next	10.0	10.0	100.0%	0		2.64s	8,364	255	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
Granite 4.2 8B	3.0	10.0	0.0%	0		252.49s	222	8,251	34,101
Qwen3 Coder Next	3.0	10.0	0.0%	0		399ms	216	12	0

Badilisha jozi ya ulinganisho

Granite 4.2 8BhighvsLaguna S 2.1noneInapatikana bure North Mini CodedefaultInapatikana burevsGranite 4.2 8Bhigh Laguna S 2.1noneInapatikana burevsQwen3 Coder Nextmedium DeepSeek V3.2nonevsQwen3 Coder Nextmedium GPT-5.4 NanononevsQwen3 Coder Nextmedium Granite 4.2 8BhighvsNemotron 3.5 LightningmediumInapatikana bure North Mini CodedefaultInapatikana burevsQwen3 Coder Nextmedium Granite 4.2 8BhighvsMercury 2.5 Previewdefault DeepSeek V3.2nonevsGranite 4.2 8Bhigh Granite 4.2 8BhighvsGPT-5.4 Nanonone Laguna S 2.1lowInapatikana burevsQwen3 Coder Nextmedium Mercury 2.5 PreviewdefaultvsQwen3 Coder Nextmedium