Models tracked
—
Across the selected period
Community telemetry
See how models perform in the real world.
Usage, speed, value, and intelligence scores—grounded in how CodingFleet users actually work, not marketing claims.
Tokens served
—
Prompt and completion tokens
Fastest response
—
Output tokens per second
Community favorite
—
Models with 10+ votes
Token usage over time
Model usage across CodingFleet.
Loading usage data…
Model leaderboard
Sort any metric, then narrow the list without reloading.
| Model | Speed | Usage | Credits | User score | Intelligence |
|---|---|---|---|---|---|
1
GPT-6.1 Sol
|
35.0 tok/s | 197.6M 15 | 5.5–8 | 1.0 | 51.8 |
2
Muse Spark 1.2
|
145.9 tok/s | 1.1M 32 | 1 | — | 39.6 |
3
GLM 5.1
|
42.5 tok/s | 249.9M 12 | 2 | — | 26.1 |
4
Kimi K2.5
|
43.0 tok/s | 150.4M 15 | 1 | — | 23.5 |
5
Claude Haiku 5.5
|
203.8 tok/s | 33.1M 21 | 0.5–1 Unlimited | — | 43.4 |
|
6
Claude Opus 5
|
69.8 tok/s | 285.7M 12 | 15–22 | — | 50.8 |
|
7
GPT-6 Sol
|
54.5 tok/s | 314.7M 12 | 5.5–9 | 1.0 | 47.6 |
8
Mistral Medium 3
|
68.8 tok/s | 7.2M 22 | 1 | — | 9.0 |
|
9
Codestral (2508)
|
109.3 tok/s | 7.4M 27 | 1 | — | — |
|
10
Claude Opus 4.5
|
57.0 tok/s | 2.0B | 15–17 | — | 29.1 |
|
11
Claude Opus 4.6
|
48.4 tok/s | 2.6B | 15–17 | 1.0 | 31.9 |
|
12
Claude Opus 4.7
|
67.6 tok/s | 1.0B 2 | 15–17 | — | 40.7 |
|
13
Claude Opus 4.8
|
65.7 tok/s | 1.6B 2 | 15–17 | — | 41.8 |
|
14
Claude Sonnet 4.6
|
57.1 tok/s | 3.2B | 9–10 | 1.0 | 30.1 |
|
15
Claude Sonnet 5
|
90.8 tok/s | 2.0B | 6.8–10 | — | 38.2 |
|
16
Claude Sonnet 5.5
|
110.9 tok/s | 223.2M 16 | 6–9 | — | 56.0 |
17
DeepSeek V3.2
|
28.4 tok/s | 216.6M 12 | 1 | — | 25.1 |
18
Gemini 2.5 Pro
|
93.0 tok/s | 75.2M 27 | 4 | — | 25.9 |
|
19
Gemini 3.1 Pro
|
89.1 tok/s | 671.3M 2 | 7 | 1.0 | 29.7 |
|
20
Gemini 3.5 Flash
|
143.2 tok/s | 137.1M 16 | 4 | 1.0 | 32.6 |
|
21
Gemini 3.6 Flash
|
160.6 tok/s | 73.7M 16 | 3 | — | 34.0 |
|
22
Gemini 3.7 Flash
|
145.0 tok/s | 67.6M 17 | 4 | — | 39.1 |
|
23
Gemini 3.8 Flash
|
108.5 tok/s | 388.3M 9 | 1.5–2.5 | — | 40.9 |
|
24
GPT-5
|
50.9 tok/s | 736.7M 4 | 3–5 | 1.0 | 23.0 |
|
25
GPT-5.1 Codex Max
|
72.2 tok/s | 98.6M 18 | 4–5 | — | — |
|
26
GPT-5.5
|
58.7 tok/s | 667.2M 2 | 16–26 | — | 38.4 |
|
27
GPT-5.6 Sol
|
45.5 tok/s | 392.0M 9 | 11–18 | 1.0 | 47.0 |
|
28
Kimi K2.6
|
51.8 tok/s | 72.7M 16 | 1 | — | 27.0 |
29
Qwen 3.7 Flash
|
110.9 tok/s | 385.5M 9 | 1 Unlimited | — | — |
|
30
Qwen 3.7 Max
|
45.9 tok/s | 169.5M 16 | 3 | — | 29.5 |
|
31
Qwen 3.8 Flash
|
61.7 tok/s | 1.2B 2 | 1 Unlimited | — | — |
|
32
Qwen 3.8 Max
|
36.6 tok/s | 91.4M 18 | 2.5–4.5 | — | 45.4 |
33
Hy3
|
77.5 tok/s | 166.1M 16 | 1 Unlimited | — | 25.3 |
|
34
Hy4 Preview
|
81.5 tok/s | 103.9M 18 | 2–3 | — | — |
35
Grok 4.6
|
56.8 tok/s | 43.2M 17 | 3.5–5 | — | 44.3 |
36
MiMo V2 Pro
|
82.2 tok/s | 18.6M 24 | 1 | — | 41.4 |
|
37
GLM 5 Turbo
|
54.7 tok/s | 86.2M 17 | 1 | — | 26.6 |
|
38
GLM 5.2
|
61.7 tok/s | 173.8M 15 | 4 | — | 33.7 |
|
39
GLM 5.3 Flash
|
40.1 tok/s | 3.0B | 1 Unlimited | — | 41.8 |
|
40
GLM 5V Turbo
|
67.3 tok/s | 84.7M 17 | 1 | — | 23.5 |
|
41
Gemini 3 Pro
|
77.3 tok/s | 410.9M 9 | 4 | 1.0 | 40.6 |
|
42
DeepSeek V4.1 Flash
|
173.0 tok/s | 12.5B | 1 Unlimited | 1.0 | 39.5 |
|
43
GLM 5.3
|
67.4 tok/s | 217.9M 16 | 2–3 | 0.9 | 44.8 |
|
44
GPT-5.4
|
65.2 tok/s | 2.3B 1 | 8–12 | 0.9 | 39.0 |
|
45
GPT-5.1
|
69.9 tok/s | 760.8M 3 | 3–5 | 0.9 | 24.7 |
|
46
GPT-5.2 Codex
|
50.5 tok/s | 654.6M 3 | 5–9 | 0.8 | 41.2 |
|
47
DeepSeek V4 Flash
|
155.0 tok/s | 13.5B | 1 | 0.8 | 34.3 |
|
48
GPT-5.6 Terra
|
71.4 tok/s | 2.5B | 5–7.5 | 0.8 | 42.1 |
|
49
GPT-5.2
|
47.7 tok/s | 2.9B | 4–8 | 0.8 | 30.4 |
|
50
DeepSeek V4 Pro
|
82.5 tok/s | 14.1B | 2–3.5 | 0.7 | 36.0 |
|
51
GPT-5.1 Codex Mini
|
101.4 tok/s | 555.0M 6 | 1 | 0.7 | 31.3 |
|
52
Qwen 3.6 Flash
|
165.0 tok/s | 121.2M 16 | 1 | — | — |
|
53
GPT-5 Mini
|
63.5 tok/s | 2.1B 2 | 1–2 | 0.5 | 25.8 |
|
54
Muse Spark 1.3 Contributor
|
106.1 tok/s | 212.5M 15 | 1 Unlimited | — | — |
|
55
GPT-5.3 Codex
|
59.1 tok/s | 497.3M 8 | 5–9 | — | 32.5 |
|
56
GPT-5.6 Luna
|
81.5 tok/s | 9.1B | 0.5–0.9 Unlimited | 0.5 | 37.3 |
|
57
Claude Sonnet 4.5
|
55.7 tok/s | 4.5B | 7–8 | 0.5 | — |
|
58
Grok-4 Fast
|
156.4 tok/s | 76.6M 17 | 1 | 0.4 | 16.6 |
|
59
Claude Fable 5 Thinking
|
68.4 tok/s | 231.2M 14 | 36 | — | 49.6 |
60
MiniMax M2.7
|
62.9 tok/s | 288.8M 12 | 2 | — | 22.8 |
|
61
Kimi K2.7 Code
|
68.2 tok/s | 121.6M 16 | 1 | — | 25.8 |
|
62
GPT-5.4 Mini
|
119.2 tok/s | 1.8B | 1–2 | 0.3 | 24.1 |
|
63
Gemini 3 Flash
|
141.3 tok/s | 2.1B 1 | 2 | 0.2 | 17.9 |
|
64
GPT-6 Luna
|
94.9 tok/s | 9.6B | 0.2–0.6 Unlimited | — | 38.1 |
|
65
Claude Haiku 4.5
|
115.4 tok/s | 5.2B | 2–3 | 0.1 | — |
66
Ling 3.0 Flash
|
237.7 tok/s | 41.9M 20 | 1 Unlimited | — | 20.1 |
67
Ling 3.1 Flash
|
94.2 tok/s | 3.4M 29 | 0 | — | 41.1 |
|
68
Llama 3.3 70B
|
30.4 tok/s | 107 27 | 1 | — | — |
|
69
Llama 4 Maverick
|
55.6 tok/s | 3.4M | 1 | — | 10.0 |
|
70
Muse Spark 1.2 Contributor
|
121.9 tok/s | 80.5M 17 | 1 Unlimited | — | — |
|
71
Muse Spark 1.3
|
121.5 tok/s | 11.6M 26 | 1–3 | — | 45.1 |
|
72
GLM 4.7
|
46.3 tok/s | 7.2M 27 | 1 | — | 34.5 |
|
73
Qwen3 235B A22B
|
41.4 tok/s | 21.0M 21 | 1 | — | — |
|
74
Claude 3.5 Haiku
|
55.2 tok/s | 44.8M 55 | 1 | — | 12.2 |
|
75
Claude 3.5 Sonnet
|
39.3 tok/s | 319 98 | 2 | — | 9.8 |
|
76
Claude 3.7 Sonnet
|
18.1 tok/s | 6.5K 94 | 6 | — | 15.3 |
|
77
MiniMax M2.5
|
50.9 tok/s | 39.5M 21 | 1 | — | 22.8 |
|
78
Mistral Large 3
|
60.4 tok/s | 911.2K 32 | 1 | — | 5.8 |
|
79
Mistral Large 4
|
37.0 tok/s | 29.7K 28 | 2 | — | 38.4 |
|
80
Mistral Medium 3.5
|
101.3 tok/s | 6.0M 27 | 2 | — | 14.2 |
|
81
Kimi K2 (0905)
|
50.0 tok/s | 578.8K 28 | 1 | — | 12.7 |
|
82
Kimi K2 Thinking
|
73.4 tok/s | 3.0M 31 | 1 | — | 22.0 |
|
83
Claude 4.1 Opus
|
35.1 tok/s | 90.2M 7 | 50–60 | — | 34.5 |
|
84
Claude 4 Opus
|
25.3 tok/s | 389.5K 21 | 50–60 | — | 31.7 |
|
85
Claude 4 Sonnet
|
61.9 tok/s | 59.4M 58 | 6–7 | — | 29.8 |
|
86
DeepSeek R1
|
64.1 tok/s | 1.4K 6 | 1 | — | 20.4 |
|
87
DeepSeek V3
|
51.5 tok/s | 1.1K 13 | 1 | — | 8.5 |
|
88
DeepSeek V3.2 Thinking
|
33.5 tok/s | 11.9M 9 | 1 | — | — |
|
89
Gemini 2.0 Flash
|
151.2 tok/s | 26.1K 77 | 1 | — | 12.2 |
|
90
Gemini 2.5 Flash
|
181.1 tok/s | 159.7M 7 | 1 | — | 9.9 |
|
91
Gemma 4 26B
|
9.6 tok/s | 21.2K 27 | 0 | — | 16.7 |
|
92
GPT-3.5 Turbo
|
22.5 tok/s | 10.2K 71 | 1 | — | 5.5 |
|
93
GPT-4 Turbo
|
9.2 tok/s | 62 38 | 10 | — | 7.7 |
|
94
GPT-4.1
|
45.7 tok/s | 197.5M 12 | 6 | — | 12.7 |
|
95
GPT-4.1 mini
|
46.4 tok/s | 73.0M 36 | 1 | — | 10.2 |
|
96
GPT-4o
|
12.2 tok/s | 122.3K 82 | 2 | — | 9.4 |
|
97
GPT-4o Mini
|
64.8 tok/s | 187.1K 84 | 1 | — | 6.7 |
|
98
GPT-5 Pro
|
15.1 tok/s | 12.9M 27 | 70 | — | — |
|
99
GPT-6 Astra
|
31.7 tok/s | 21.6M 23 | 30–42 | — | 52.7 |
|
100
Kimi K3
|
32.6 tok/s | 30.3M 22 | 8 | — | 43.6 |
|
101
Nemotron 3.5 Lightning
|
57.2 tok/s | 180.3M 15 | 0 | — | 12.9 |
|
102
OpenAI o3
|
61.5 tok/s | 7.8M 50 | 4–5 | — | 20.2 |
|
103
OpenAI o4-mini
|
51.3 tok/s | 13.8K 74 | 2 | — | 16.7 |
|
104
GPT-5.2 Codex
|
66.3 tok/s | 5.2M 27 | 8 | — | 41.2 |
|
105
Laguna S 2.1
|
63.0 tok/s | 31.5M 21 | 0 | — | — |
|
106
Qwen 3.5 Flash
|
95.1 tok/s | 68.0M 16 | 1 | — | — |
|
107
Qwen 3.5 Plus
|
57.6 tok/s | 63.5M 17 | 1 | — | — |
|
108
Qwen 3.6 Max Preview
|
38.5 tok/s | 16.8M 24 | 4 | — | 28.4 |
|
109
Qwen 3.6 Plus
|
50.2 tok/s | 182.1M 15 | 1 | — | 27.0 |
|
110
Qwen 3.7 Plus
|
45.3 tok/s | 18.0M 24 | 1 | — | 25.2 |
|
111
Qwen 3.8 27B
|
43.4 tok/s | 33.3M 21 | 0 | — | 33.7 |
|
112
Ox Alpha
|
29.7 tok/s | 15.1M 26 | 0 | — | — |
|
113
Space Bunny Alpha
|
58.7 tok/s | 780.5M 2 | 0 | — | — |
|
114
Grok-3 (Beta)
|
21.9 tok/s | 142 7 | 3 | — | — |
|
115
Grok-4.3
|
110.3 tok/s | 1.4M 33 | 3 | — | 24.9 |
|
116
Grok 4.5
|
54.3 tok/s | 17.4M 24 | 4 | — | 38.8 |
|
117
Grok 4.7
|
53.3 tok/s | 80.3M 17 | 2–4 | — | 46.4 |
|
118
Grok Build 0.1
|
125.7 tok/s | 41.5M 20 | 1 | — | — |
|
119
MiMo V2.5 Pro
|
64.2 tok/s | 80.3M 17 | 1.5 | — | 26.0 |
|
120
MiMo V2.6 Flash
|
44.7 tok/s | 99.9M 18 | 0.5 Unlimited | — | 37.9 |
|
121
MiMo V2.6 Pro
|
44.2 tok/s | 143.1M 15 | 1 | — | 46.3 |
|
122
GLM 4.6
|
45.6 tok/s | 12.9M 27 | 1 | — | 14.9 |
|
123
GLM 5
|
57.6 tok/s | 120.2M 16 | 1 | — | 27.9 |
|
124
Claude Fable 5.1
|
76.7 tok/s | 56.6M 17 | 30–44 | — | 53.4 |
|
125
MiniMax M3
|
69.1 tok/s | 199.6M 15 | 1 | — | 29.2 |
|
126
Claude Opus 5.5
|
81.6 tok/s | 55.7M 17 | 10–18 | — | 57.6 |
|
127
Nemotron 3 Ultra
|
28.4 tok/s | 40.0M 21 | 0 | — | — |
|
128
Qwen3 Coder
|
83.5 tok/s | 1.2M 25 | 2 | — | — |
|
129
Grok-4
|
39.7 tok/s | 9.3M 18 | 5 | — | 22.5 |
|
130
Grok-4.1 Fast
|
112.7 tok/s | 80.1M 17 | 1 | — | 17.0 |
|
131
Grok-4.20
|
175.7 tok/s | 2.8M 31 | 4 | — | 38.0 |
|
132
Grok-4.20 Beta
|
163.1 tok/s | 13.6M 27 | 4 | — | — |
How to read these statistics
Real usageUsage combines prompt and completion tokens generated by CodingFleet users during the selected period.
Credits and availabilityCredits are charged per request, pro-rata to the tokens used. Models tagged Unlimited cost no credits on the Unlimited plan and above (Unlimited, Elite, Ultimate, Ultimate Max); every other model is charged the credits shown, on every plan. Legacy models are no longer selectable.
IntelligenceA composite score out of 100 covering reasoning, coding and knowledge — the same number the Auto model router weighs against price when it picks a model for you.