Model
Fit
Speed
Memory
Scores / Run
Runs comfortably
120.0GB
1000k ctx
Runs comfortably
73
tok/s
ⓘ estimated
120
/ 256GB
93
/
92
/
91
Runs comfortably
73 tok/s
ⓘ estimated
120/256GB
109.0GB
1000k ctx
Runs comfortably
80
tok/s
ⓘ estimated
109
/ 256GB
93
/
92
/
91
Runs comfortably
80 tok/s
ⓘ estimated
109/256GB
93.1GB
1000k ctx
Runs comfortably
94
tok/s
ⓘ estimated
93
/ 256GB
93
/
92
/
91
Runs comfortably
94 tok/s
ⓘ estimated
93/256GB
200.0GB
1000k ctx
Runs comfortably
44
tok/s
ⓘ estimated
200
/ 256GB
93
/
92
/
91
Runs comfortably
44 tok/s
ⓘ estimated
200/256GB
DeepSeek V4.1 Flash
Q4_K_M
224.6GB
1000k ctx
Runs comfortably
75
tok/s
ⓘ estimated
225
/ 256GB
93
/
92
/
90
Runs comfortably
75 tok/s
ⓘ estimated
225/256GB
162.0GB
1000k ctx
Runs comfortably
66
tok/s
ⓘ estimated
162
/ 256GB
93
/
91
/
90
Runs comfortably
66 tok/s
ⓘ estimated
162/256GB
155.0GB
1000k ctx
Runs comfortably
69
tok/s
ⓘ estimated
155
/ 256GB
93
/
91
/
90
Runs comfortably
69 tok/s
ⓘ estimated
155/256GB
72.5GB
262k ctx
Runs comfortably
105
tok/s
ⓘ estimated
73
/ 256GB
92
/
92
/
89
Runs comfortably
105 tok/s
ⓘ estimated
73/256GB
Qwen3.8-Flash-Next
EXL3_3BPW
85.0GB
262k ctx
Runs comfortably
108
tok/s
ⓘ estimated
85
/ 256GB
92
/
92
/
89
Runs comfortably
108 tok/s
ⓘ estimated
85/256GB
Qwen3.8-Flash-Next
EXL3_2BPW
62.7GB
262k ctx
Runs comfortably
129
tok/s
ⓘ estimated
63
/ 256GB
92
/
92
/
89
Runs comfortably
129 tok/s
ⓘ estimated
63/256GB
DeepSeek V3 0324
Q2_K
188.0GB
128k ctx
Runs comfortably
47
tok/s
ⓘ estimated
188
/ 256GB
92
/
88
/
87
Runs comfortably
47 tok/s
ⓘ estimated
188/256GB
Ornith-1.5-35B-A3B
Q5_K_M
25.3GB
262k ctx
Runs comfortably
113
tok/s
ⓘ estimated
25
/ 256GB
91
/
89
/
86
Runs comfortably
113 tok/s
ⓘ estimated
25/256GB
Ornith-1.5-35B-A3B
Q6_K
29.2GB
262k ctx
Runs comfortably
105
tok/s
ⓘ estimated
29
/ 256GB
91
/
89
/
86
Runs comfortably
105 tok/s
ⓘ estimated
29/256GB
Ornith-1.5-35B-A3B
BF16
71.1GB
262k ctx
Runs comfortably
60
tok/s
ⓘ estimated
71
/ 256GB
91
/
89
/
86
Runs comfortably
60 tok/s
ⓘ estimated
71/256GB
Ornith-1.5-35B-A3B
Q4_K_M
21.7GB
262k ctx
Runs comfortably
121
tok/s
ⓘ estimated
22
/ 256GB
91
/
89
/
86
Runs comfortably
121 tok/s
ⓘ estimated
22/256GB
Ornith-1.5-35B-A3B
Q8_0
37.8GB
262k ctx
Runs comfortably
91
tok/s
ⓘ estimated
38
/ 256GB
91
/
89
/
86
Runs comfortably
91 tok/s
ⓘ estimated
38/256GB
Qwen3.6 35B A3B
Q4_K_M
20.0GB
262k ctx
Runs comfortably
124
tok/s
ⓘ estimated
20
/ 256GB
90
/
91
/
87
Runs comfortably
124 tok/s
ⓘ estimated
20/256GB
Runs comfortably
91 tok/s
ⓘ estimated
37/256GB
Pokee-Isaac 28B
Q4_K_M
16.0GB
396k cap
Runs comfortably
27
tok/s
ⓘ estimated
16
/ 256GB
90
/
88
/
88
Runs comfortably
27 tok/s
ⓘ estimated
16/256GB
Runs comfortably
8 tok/s
ⓘ estimated
56/256GB
Runs comfortably
16 tok/s
ⓘ estimated
28/256GB
Runs comfortably
34 tok/s
ⓘ estimated
68/256GB
Qwen3 235B A22B
Q4_K_M
125.0GB
65k cap
Runs comfortably
25
tok/s
ⓘ estimated
125
/ 256GB
88
/
90
/
85
Runs comfortably
25 tok/s
ⓘ estimated
125/256GB
9.8GB
262k ctx
Runs comfortably
41
tok/s
ⓘ estimated
10
/ 256GB
88
/
89
/
85
Runs comfortably
41 tok/s
ⓘ estimated
10/256GB
6.2GB
262k ctx
Runs comfortably
58
tok/s
ⓘ estimated
6
/ 256GB
88
/
89
/
85
Runs comfortably
58 tok/s
ⓘ estimated
6/256GB
17.6GB
262k ctx
Runs comfortably
25
tok/s
ⓘ estimated
18
/ 256GB
88
/
89
/
85
Runs comfortably
25 tok/s
ⓘ estimated
18/256GB
15.2GB
262k ctx
Runs comfortably
28
tok/s
ⓘ estimated
15
/ 256GB
88
/
89
/
85
Runs comfortably
28 tok/s
ⓘ estimated
15/256GB
Runs comfortably
23 tok/s
ⓘ estimated
18/256GB
Runs comfortably
25 tok/s
ⓘ estimated
16/256GB
Runs comfortably
8 tok/s
ⓘ estimated
61/256GB
Runs comfortably
14 tok/s
ⓘ estimated
33/256GB
Runs comfortably
23 tok/s
ⓘ estimated
18/256GB
Runs comfortably
47 tok/s
ⓘ estimated
50/256GB
Runs comfortably
74 tok/s
ⓘ estimated
25/256GB
Gemma 4 26B A4B
Q4_K_M
13.0GB
256k ctx
Runs comfortably
102
tok/s
ⓘ estimated
13
/ 256GB
85
/
88
/
84
Runs comfortably
102 tok/s
ⓘ estimated
13/256GB
Runs comfortably
99 tok/s
ⓘ estimated
14/256GB
Runs comfortably
16 tok/s
ⓘ estimated
28/256GB
Runs comfortably
25 tok/s
ⓘ estimated
17/256GB
Runs comfortably
21 tok/s
ⓘ estimated
20/256GB
Runs comfortably
18 tok/s
ⓘ estimated
25/256GB
Runs comfortably
16 tok/s
ⓘ estimated
29/256GB
Runs comfortably
13 tok/s
ⓘ estimated
34/256GB
Runs comfortably
20 tok/s
ⓘ estimated
178/256GB
Runs comfortably
24 tok/s
ⓘ estimated
77/256GB
Runs comfortably
24 tok/s
ⓘ estimated
18/256GB
Runs comfortably
42 tok/s
ⓘ estimated
10/256GB
Nemotron 3.5 Lightning
Q4_K_M
32.0GB
493k cap
Runs comfortably
90
tok/s
ⓘ estimated
32
/ 256GB
78
/
76
/
74
Runs comfortably
90 tok/s
ⓘ estimated
32/256GB
58.0GB
430k cap
Runs comfortably
58
tok/s
ⓘ estimated
58
/ 256GB
78
/
76
/
74
Runs comfortably
58 tok/s
ⓘ estimated
58/256GB
60.0GB
426k cap
Runs comfortably
57
tok/s
ⓘ estimated
60
/ 256GB
78
/
76
/
74
Runs comfortably
57 tok/s
ⓘ estimated
60/256GB
Runs comfortably
63 tok/s
ⓘ estimated
6/256GB
Runs comfortably
57 tok/s
ⓘ estimated
7/256GB
Runs comfortably
51 tok/s
ⓘ estimated
8/256GB
Runs comfortably
93 tok/s
ⓘ estimated
31/256GB
Runs comfortably
130 tok/s
ⓘ estimated
16/256GB
Runs comfortably
48 tok/s
ⓘ estimated
9/256GB
Runs comfortably
30 tok/s
ⓘ estimated
15/256GB
Runs comfortably
16 tok/s
ⓘ estimated
29/256GB
Xing4.0-29B-A4B
Q4_K_M
20.1GB
200k cap
Runs comfortably
64
tok/s
ⓘ estimated
20
/ 256GB
75
/
73
/
72
Runs comfortably
64 tok/s
ⓘ estimated
20/256GB
Runs comfortably
36 tok/s
ⓘ estimated
62/256GB
Llama 3.3 70B Instruct
Q3_K_M
30.0GB
128k ctx
Runs comfortably
14
tok/s
ⓘ estimated
30
/ 256GB
72
/
77
/
80
Runs comfortably
14 tok/s
ⓘ estimated
30/256GB
21.5GB
128k ctx
Runs comfortably
18
tok/s
ⓘ estimated
22
/ 256GB
72
/
77
/
80
Runs comfortably
18 tok/s
ⓘ estimated
22/256GB
Llama 3.3 70B Instruct
Q4_K_M
42.0GB
128k ctx
Runs comfortably
10
tok/s
ⓘ estimated
42
/ 256GB
72
/
77
/
80
Runs comfortably
10 tok/s
ⓘ estimated
42/256GB
74.0GB
121k cap
Runs comfortably
6
tok/s
ⓘ estimated
74
/ 256GB
72
/
77
/
80
Runs comfortably
6 tok/s
ⓘ estimated
74/256GB
Runs comfortably
44 tok/s
ⓘ estimated
9/256GB
Runs comfortably
29 tok/s
ⓘ estimated
15/256GB
Runs comfortably
54 tok/s
ⓘ estimated
7/256GB
Runs comfortably
33 tok/s
ⓘ estimated
13/256GB
Runs comfortably
24 tok/s
ⓘ estimated
17/256GB
Runs comfortably
16 tok/s
ⓘ estimated
28/256GB
Runs comfortably
47 tok/s
ⓘ estimated
9/256GB
Runs comfortably
68 tok/s
ⓘ estimated
5/256GB
Mixtral 8x7B Instruct
Q3_K_M
19.0GB
32k ctx
Runs comfortably
67
tok/s
ⓘ estimated
19
/ 256GB
62
/
65
/
68
Runs comfortably
67 tok/s
ⓘ estimated
19/256GB
Mixtral 8x7B Instruct
Q4_K_M
26.5GB
32k ctx
Runs comfortably
52
tok/s
ⓘ estimated
27
/ 256GB
62
/
65
/
68
Runs comfortably
52 tok/s
ⓘ estimated
27/256GB
Runs comfortably
32 tok/s
ⓘ estimated
14/256GB
Runs comfortably
53 tok/s
ⓘ estimated
8/256GB
Runs comfortably
3 tok/s
ⓘ estimated
156/256GB
Runs comfortably
33 tok/s
ⓘ estimated
13/256GB
Runs comfortably
55 tok/s
ⓘ estimated
7/256GB
Runs comfortably
131 tok/s
ⓘ estimated
3/256GB
Runs comfortably
148 tok/s
ⓘ estimated
3/256GB
Runs comfortably
100 tok/s
ⓘ estimated
4/256GB
Llama 3.1 8B Instruct
Q4_K_M
4.5GB
128k ctx
Runs comfortably
75
tok/s
ⓘ estimated
5
/ 256GB
52
/
55
/
62
Runs comfortably
75 tok/s
ⓘ estimated
5/256GB
8.0GB
128k ctx
Runs comfortably
49
tok/s
ⓘ estimated
8
/ 256GB
52
/
55
/
62
Runs comfortably
49 tok/s
ⓘ estimated
8/256GB
16.0GB
128k ctx
Runs comfortably
27
tok/s
ⓘ estimated
16
/ 256GB
52
/
55
/
62
Runs comfortably
27 tok/s
ⓘ estimated
16/256GB
Runs comfortably
79 tok/s
ⓘ estimated
5/256GB
Runs comfortably
116 tok/s
ⓘ estimated
3/256GB
3.5GB
128k ctx
Runs comfortably
110
tok/s
ⓘ estimated
4
/ 256GB
35
/
38
/
50
Runs comfortably
110 tok/s
ⓘ estimated
4/256GB
Llama 3.2 3B Instruct
Q4_K_M
2.0GB
128k ctx
Runs comfortably
165
tok/s
ⓘ estimated
2
/ 256GB
35
/
38
/
50
Runs comfortably
165 tok/s
ⓘ estimated
2/256GB
Runs comfortably
295 tok/s
ⓘ estimated
7/256GB
Runs comfortably
94 tok/s
ⓘ estimated
24/256GB
Runs comfortably
8 tok/s
ⓘ estimated
60/256GB
Runs comfortably
14 tok/s
ⓘ estimated
33/256GB
Runs comfortably
24 tok/s
ⓘ estimated
18/256GB
Muse Spark Open 816B-A42B
UD-IQ1_S
176.0GB
1024k ctx
Runs comfortably
54
tok/s
ⓘ estimated
176
/ 256GB
Runs comfortably
54 tok/s
ⓘ estimated
176/256GB
Runs comfortably
8 tok/s
ⓘ estimated
61/256GB
Runs comfortably
3 tok/s
ⓘ estimated
141/256GB
Runs comfortably
6 tok/s
ⓘ estimated
75/256GB
Runs comfortably
4 tok/s
ⓘ estimated
128/256GB
Runs comfortably
3 tok/s
ⓘ estimated
143/256GB
Runs comfortably
212 tok/s
ⓘ estimated
24/256GB
Runs comfortably
336 tok/s
ⓘ estimated
14/256GB
Runs tight
Runs tight
2 tok/s
ⓘ estimated
244/256GB
Runs tight
38 tok/s
ⓘ estimated
240/256GB
Run GLM-5.3-Flash in the cloud
No hardware? Host it - per-token API or flat subscription
Relace
per-token
$0.08
Darkbloom
per-token
$0.14
PrimeIntellect
per-token
$0.15
Morph
per-token
$0.16
Wafer
per-token
$0.16
OpenInference
per-token
$0.18
Tenstorrent
per-token
$0.18
GMICloud
per-token
$0.18
Novita
per-token
$0.2
StreamLake
per-token
$0.21
Reka
per-token
$0.25
Makora
per-token
$0.26
InferenceNet
per-token
$0.26
DigitalOcean
per-token
$0.27
Near AI
per-token
$0.28
CoreWeave
per-token
$0.28
DekaLLM
per-token
$0.3
NextBit
per-token
$0.31
Particle AI
per-token
$0.32
Modal
per-token
Serverless GPU inference platform. Serves open-weight models including reason...
$0.36
Nebius
per-token
$0.36
Mistral
per-token
$0.36
Z.AI
per-token
$0.36
Venice
per-token
$0.36
Friendli
per-token
$0.36
Fireworks
per-token
$0.36
Z.ai
per-token
Official API and platform for Zhipu AI's open-source GLM models. GLM-5.2 avai...
pricing may be outdated
$0.36
KT
per-token
$0.36
DeepInfra
per-token
$0.36
SiliconFlow
per-token
$0.36
Cohere
per-token
$0.36
Together
per-token
$0.36
BaseTen
per-token
$0.36
Crusoe
per-token
$0.36
AtlasCloud
per-token
$0.36
Inceptron
per-token
$0.39
Sail Research
per-token
$0.44
Parasail
per-token
$0.45
Z.ai
Coding Plan Lite
subscription
Official API and platform for Zhipu AI's open-source GLM models. GLM-5.2 avai...
$10.0
OpenCode Go
Go ($5 first month)
subscription
Low-cost subscription for open coding models. $5 first month, then $10/month....
$10.0
Z.ai
Coding Plan Pro
subscription
Official API and platform for Zhipu AI's open-source GLM models. GLM-5.2 avai...
$30.0
Z.ai
Coding Plan Max
subscription
Official API and platform for Zhipu AI's open-source GLM models. GLM-5.2 avai...
$80.0
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Per-token monthly figures are estimates at typical usage. Prices verified periodically - always confirm current pricing on the provider's website.
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