Model
Fit
Speed
Memory
Scores / Run
Runs comfortably
6.2GB
14k cap
Runs comfortably
19
tok/s
ⓘ estimated
6
/ 16GB
88
/
89
/
85
Runs comfortably
19 tok/s
ⓘ estimated
6/16GB
9.8GB
9k cap
Runs comfortably
13
tok/s
ⓘ estimated
10
/ 16GB
88
/
89
/
85
Runs comfortably
13 tok/s
ⓘ estimated
10/16GB
Runs comfortably
13 tok/s
ⓘ estimated
10/16GB
Runs comfortably
16 tok/s
ⓘ estimated
8/16GB
Runs comfortably
18 tok/s
ⓘ estimated
7/16GB
Runs comfortably
20 tok/s
ⓘ estimated
6/16GB
Runs comfortably
16 tok/s
ⓘ estimated
9/16GB
Runs comfortably
14 tok/s
ⓘ estimated
9/16GB
Runs comfortably
18 tok/s
ⓘ estimated
7/16GB
Runs comfortably
11 tok/s
ⓘ estimated
13/16GB
Runs comfortably
15 tok/s
ⓘ estimated
9/16GB
Runs comfortably
22 tok/s
ⓘ estimated
5/16GB
Runs comfortably
17 tok/s
ⓘ estimated
8/16GB
Runs comfortably
10 tok/s
ⓘ estimated
14/16GB
Runs comfortably
11 tok/s
ⓘ estimated
13/16GB
Runs comfortably
18 tok/s
ⓘ estimated
7/16GB
Runs comfortably
42 tok/s
ⓘ estimated
3/16GB
Runs comfortably
32 tok/s
ⓘ estimated
4/16GB
Runs comfortably
48 tok/s
ⓘ estimated
3/16GB
8.0GB
16k cap
Runs comfortably
16
tok/s
ⓘ estimated
8
/ 16GB
52
/
55
/
62
Runs comfortably
16 tok/s
ⓘ estimated
8/16GB
Llama 3.1 8B Instruct
Q4_K_M
4.5GB
23k cap
Runs comfortably
24
tok/s
ⓘ estimated
5
/ 16GB
52
/
55
/
62
Runs comfortably
24 tok/s
ⓘ estimated
5/16GB
Runs comfortably
25 tok/s
ⓘ estimated
5/16GB
Runs comfortably
37 tok/s
ⓘ estimated
3/16GB
3.5GB
52k cap
Runs comfortably
35
tok/s
ⓘ estimated
4
/ 16GB
35
/
38
/
50
Runs comfortably
35 tok/s
ⓘ estimated
4/16GB
Llama 3.2 3B Instruct
Q4_K_M
2.0GB
58k cap
Runs comfortably
53
tok/s
ⓘ estimated
2
/ 16GB
35
/
38
/
50
Runs comfortably
53 tok/s
ⓘ estimated
2/16GB
Runs comfortably
95 tok/s
ⓘ estimated
7/16GB
Runs tight
Gemma 4 26B A4B
Q4_K_M
13.0GB
ctx headroom ~0
Runs tight
33
tok/s
ⓘ estimated
13
/ 16GB
85
/
88
/
84
Runs tight
33 tok/s
ⓘ estimated
13/16GB
Runs tight
42 tok/s
ⓘ estimated
16/16GB
Runs tight
10 tok/s
ⓘ estimated
15/16GB
Runs tight
9 tok/s
ⓘ estimated
15/16GB
16.0GB
ctx headroom ~0
Runs tight
9
tok/s
ⓘ estimated
16
/ 16GB
52
/
55
/
62
Runs tight
9 tok/s
ⓘ estimated
16/16GB
Runs tight
108 tok/s
ⓘ estimated
14/16GB
Runs with CPU offload
Qwen3.8-Flash-Next
EXL3_2BPW
62.7GB
ctx spills to ram
Runs with CPU offload
0.5
tok/s
ⓘ estimated
63
/ 16GB
92
/
92
/
89
Runs with CPU offload
0.5 tok/s
ⓘ estimated
63/16GB
Qwen3.8-Flash-Next
EXL3_3BPW
85.0GB
ctx spills to ram
Runs with CPU offload
0.5
tok/s
ⓘ estimated
85
/ 16GB
92
/
92
/
89
Runs with CPU offload
0.5 tok/s
ⓘ estimated
85/16GB
Ornith-1.5-35B-A3B
Q4_K_M
21.7GB
ctx spills to ram
Runs with CPU offload
1
tok/s
ⓘ estimated
22
/ 16GB
91
/
89
/
86
Runs with CPU offload
1 tok/s
ⓘ estimated
22/16GB
Ornith-1.5-35B-A3B
Q5_K_M
25.3GB
ctx spills to ram
Runs with CPU offload
0.82
tok/s
ⓘ estimated
25
/ 16GB
91
/
89
/
86
Runs with CPU offload
0.82 tok/s
ⓘ estimated
25/16GB
Qwen3.6 35B A3B
Q4_K_M
20.0GB
ctx spills to ram
Runs with CPU offload
2
tok/s
ⓘ estimated
20
/ 16GB
90
/
91
/
87
Runs with CPU offload
2 tok/s
ⓘ estimated
20/16GB
Pokee-Isaac 28B
Q4_K_M
16.0GB
ctx spills to ram
Runs with CPU offload
6
tok/s
ⓘ estimated
16
/ 16GB
90
/
88
/
88
Runs with CPU offload
6 tok/s
ⓘ estimated
16/16GB
17.6GB
ctx spills to ram
Runs with CPU offload
5
tok/s
ⓘ estimated
18
/ 16GB
88
/
89
/
85
Runs with CPU offload
5 tok/s
ⓘ estimated
18/16GB
Gemma 4 31B
QAT
18.0GB
ctx spills to ram
Runs with CPU offload
5
tok/s
ⓘ estimated
18
/ 16GB
86
/
89
/
85
Runs with CPU offload
5 tok/s
ⓘ estimated
18/16GB
Gemma 4 31B
Q4_K_M
18.3GB
ctx spills to ram
Runs with CPU offload
5
tok/s
ⓘ estimated
18
/ 16GB
86
/
89
/
85
Runs with CPU offload
5 tok/s
ⓘ estimated
18/16GB
Qwen3.6 27B
Q4_K_M
16.5GB
ctx spills to ram
Runs with CPU offload
7
tok/s
ⓘ estimated
17
/ 16GB
85
/
87
/
82
Runs with CPU offload
7 tok/s
ⓘ estimated
17/16GB
Qwen3 32B
Q4_K_M
20.0GB
ctx spills to ram
Runs with CPU offload
5
tok/s
ⓘ estimated
20
/ 16GB
80
/
82
/
78
Runs with CPU offload
5 tok/s
ⓘ estimated
20/16GB
Qwen3 32B
Q5_K_M
24.5GB
ctx spills to ram
Runs with CPU offload
4
tok/s
ⓘ estimated
25
/ 16GB
80
/
82
/
78
Runs with CPU offload
4 tok/s
ⓘ estimated
25/16GB
Ornith-1.5-9B
BF16
18.4GB
ctx spills to ram
Runs with CPU offload
5
tok/s
ⓘ estimated
18
/ 16GB
78
/
76
/
74
Runs with CPU offload
5 tok/s
ⓘ estimated
18/16GB
Xing4.0-29B-A4B
Q4_K_M
20.1GB
ctx spills to ram
Runs with CPU offload
3
tok/s
ⓘ estimated
20
/ 16GB
75
/
73
/
72
Runs with CPU offload
3 tok/s
ⓘ estimated
20/16GB
21.5GB
ctx spills to ram
Runs with CPU offload
4
tok/s
ⓘ estimated
22
/ 16GB
72
/
77
/
80
Runs with CPU offload
4 tok/s
ⓘ estimated
22/16GB
Gemma 3 27B
Q4_K_M
17.0GB
ctx spills to ram
Runs with CPU offload
7
tok/s
ⓘ estimated
17
/ 16GB
68
/
71
/
72
Runs with CPU offload
7 tok/s
ⓘ estimated
17/16GB
Mixtral 8x7B Instruct
Q4_K_M
26.5GB
ctx spills to ram
Runs with CPU offload
2
tok/s
ⓘ estimated
27
/ 16GB
62
/
65
/
68
Runs with CPU offload
2 tok/s
ⓘ estimated
27/16GB
Mixtral 8x7B Instruct
Q3_K_M
19.0GB
ctx spills to ram
Runs with CPU offload
4
tok/s
ⓘ estimated
19
/ 16GB
62
/
65
/
68
Runs with CPU offload
4 tok/s
ⓘ estimated
19/16GB
24.3GB
ctx spills to ram
Runs with CPU offload
0.98
tok/s
ⓘ estimated
24
/ 16GB
Runs with CPU offload
0.98 tok/s
ⓘ estimated
24/16GB
Muse Glimmer 30B
Q4_K_M
18.0GB
ctx spills to ram
Runs with CPU offload
3
tok/s
ⓘ estimated
18
/ 16GB
Runs with CPU offload
3 tok/s
ⓘ estimated
18/16GB
Runs with CPU offload
0.5 tok/s
ⓘ estimated
24/16GB
Coding alternatives
Hosted coding assistants for comparison - per seat
Cursor
Hobby
AI-first code editor. Uses frontier models (GPT-4, Claude). $20/user Business...
$0.0
GitHub Copilot
Individual
AI coding assistant by GitHub. GPT-4o and Claude-based completions. $19/seat ...
$10.0
GitHub Copilot
Business
AI coding assistant by GitHub. GPT-4o and Claude-based completions. $19/seat ...
$19.0
Cursor
Pro
AI-first code editor. Uses frontier models (GPT-4, Claude). $20/user Business...
$20.0
GitHub Copilot
Enterprise
AI coding assistant by GitHub. GPT-4o and Claude-based completions. $19/seat ...
$39.0
Cursor
Business
AI-first code editor. Uses frontier models (GPT-4, Claude). $20/user Business...
$40.0
Per-token monthly figures are estimates at typical usage. Prices verified periodically - always confirm current pricing on the provider's website.
Sign in with GitHub to save this rig and get weekly model updates
Sign in with GitHubTokenstead community
Not sure this is the right fit?
Post your rig and the shortlist in the community and get a sanity check from people running the same memory and stack.