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 Luna
|
91.9 tok/s | 17.2B | 0.2–0.6 Unlimited | 0.5 | 38.1 |
2
DeepSeek V4.1 Flash
|
167.8 tok/s | 15.7B | 1 Unlimited | 1.0 | 39.5 |
|
3
DeepSeek V4 Pro
|
82.3 tok/s | 14.3B | 2–3.5 | 0.7 | 36.0 |
|
4
DeepSeek V4 Flash
|
155.0 tok/s | 13.5B | 1 | 0.8 | 34.3 |
|
5
GPT-5.6 Luna
|
82.0 tok/s | 9.3B | 0.5–0.9 Unlimited | 0.5 | 37.3 |
6
Claude Haiku 4.5
|
115.5 tok/s | 5.2B | 2–3 | 0.1 | — |
7
GLM 5.3 Flash
|
40.2 tok/s | 4.5B 1 | 1 Unlimited | — | 41.8 |
|
8
Claude Sonnet 4.5
|
55.0 tok/s | 4.1B 1 | 7–8 | 0.5 | — |
|
9
Claude Sonnet 4.6
|
57.1 tok/s | 3.2B | 9–10 | 1.0 | 30.1 |
|
10
GPT-5.2
|
47.7 tok/s | 2.9B | 4–8 | 0.8 | 30.4 |
|
11
Claude Opus 4.6
|
48.4 tok/s | 2.6B | 15–17 | 1.0 | 31.9 |
|
12
GPT-5.6 Terra
|
70.9 tok/s | 2.5B | 5–7.5 | 0.8 | 42.1 |
|
13
GPT-5.4
|
65.2 tok/s | 2.3B 1 | 8–12 | 0.9 | 39.0 |
|
14
Claude Haiku 5.5
|
202.2 tok/s | 2.1B 1 | 0.5–1 Unlimited | — | 43.4 |
15
Gemini 3 Flash
|
141.3 tok/s | 2.1B 1 | 2 | 0.2 | 17.9 |
|
16
GPT-5 Mini
|
63.5 tok/s | 2.0B 3 | 1–2 | 0.4 | 25.8 |
|
17
Claude Sonnet 5
|
90.9 tok/s | 2.0B | 6.8–10 | — | 38.2 |
|
18
Claude Opus 4.5
|
57.0 tok/s | 2.0B | 15–17 | — | 29.1 |
|
19
GPT-5.4 Mini
|
121.4 tok/s | 1.8B | 1–2 | 0.3 | 24.1 |
|
20
Claude Opus 4.8
|
65.7 tok/s | 1.6B 2 | 15–17 | — | 41.8 |
21
Qwen 3.8 Flash
|
62.6 tok/s | 1.4B 2 | 1 Unlimited | — | — |
|
22
Claude Opus 4.7
|
67.2 tok/s | 1.1B 2 | 15–17 | — | 40.7 |
23
Space Bunny Alpha
|
58.7 tok/s | 780.5M 2 | 0 | — | — |
|
24
GPT-5.1
|
69.9 tok/s | 760.8M 3 | 3–5 | 0.9 | 24.7 |
|
25
Gemini 3.1 Pro
|
89.0 tok/s | 673.7M 3 | 7 | 1.0 | 29.7 |
|
26
GPT-5.5
|
58.7 tok/s | 667.2M 3 | 16–26 | — | 38.4 |
|
27
GPT-5.2 Codex
|
50.5 tok/s | 654.6M 4 | 5–9 | 0.8 | 41.2 |
|
28
GPT-5
|
50.0 tok/s | 562.1M 7 | 3–5 | 1.0 | 23.0 |
|
29
GPT-5.1 Codex Mini
|
101.4 tok/s | 555.0M 6 | 1 | 0.7 | 31.3 |
|
30
GPT-5.3 Codex
|
59.1 tok/s | 497.3M 8 | 5–9 | — | 32.5 |
|
31
Gemini 3.8 Flash
|
105.1 tok/s | 465.6M 9 | 1.5–2.5 | — | 40.9 |
|
32
Claude Sonnet 5.5
|
142.3 tok/s | 442.3M 9 | 5–8 | — | 56.0 |
|
33
Gemini 3 Pro
|
77.3 tok/s | 410.9M 9 | 4 | 1.0 | 40.6 |
|
34
Qwen 3.7 Flash
|
109.7 tok/s | 396.5M 9 | 1 Unlimited | — | — |
|
35
GPT-5.6 Sol
|
45.5 tok/s | 392.0M 9 | 11–18 | 1.0 | 47.0 |
|
36
GPT-6.1 Sol
|
36.6 tok/s | 322.9M 12 | 5.5–8 | 1.0 | 51.8 |
|
37
GPT-6 Sol
|
54.6 tok/s | 315.1M 12 | 5.5–9 | 1.0 | 47.6 |
|
38
Claude Opus 5
|
69.3 tok/s | 303.0M 12 | 15–22 | — | 50.8 |
39
Muse Spark 1.3 Contributor
|
102.4 tok/s | 290.5M 12 | 1 Unlimited | — | — |
40
MiniMax M2.7
|
62.9 tok/s | 289.3M 12 | 2 | — | 22.8 |
|
41
GLM 5.3
|
60.9 tok/s | 286.1M 12 | 2–3 | 0.9 | 44.8 |
|
42
GLM 5.1
|
42.5 tok/s | 249.9M 12 | 2 | — | 26.1 |
43
MiMo V2.6 Pro
|
43.6 tok/s | 238.1M 14 | 1 | 0.0 | 46.3 |
|
44
Claude Fable 5 Thinking
|
68.5 tok/s | 231.2M 14 | 36 | — | 49.6 |
|
45
MiniMax M3
|
69.3 tok/s | 200.2M 16 | 1 | — | 29.2 |
|
46
Nemotron 3.5 Lightning
|
53.8 tok/s | 188.4M 16 | 0 | — | 12.9 |
|
47
Qwen 3.6 Plus
|
50.2 tok/s | 182.1M 17 | 1 | — | 27.0 |
|
48
GPT-4.1
|
45.0 tok/s | 181.0M 14 | 6 | — | 12.7 |
|
49
DeepSeek V3.2
|
29.3 tok/s | 178.0M 19 | 1 | — | 25.1 |
|
50
GLM 5.2
|
61.7 tok/s | 173.8M 15 | 4 | — | 33.7 |
|
51
Qwen 3.7 Max
|
45.9 tok/s | 169.5M 16 | 3 | — | 29.5 |
52
Hy3
|
78.4 tok/s | 167.1M 16 | 1 Unlimited | — | 25.3 |
|
53
Claude Opus 5.5
|
72.3 tok/s | 156.3M 16 | 10–18 | — | 57.6 |
54
Kimi K2.5
|
43.0 tok/s | 150.4M 16 | 1 | — | 23.5 |
|
55
Gemini 3.5 Flash
|
143.2 tok/s | 137.1M 17 | 4 | 1.0 | 32.6 |
|
56
Gemini 2.5 Flash
|
179.2 tok/s | 132.6M 10 | 1 | — | 9.9 |
57
Ling 3.1 Flash
|
75.7 tok/s | 130.5M 16 | 0.5 Unlimited | — | 41.1 |
|
58
Hy4 Preview
|
77.3 tok/s | 125.2M 16 | 2–3 | — | — |
|
59
Kimi K2.7 Code
|
68.2 tok/s | 122.3M 16 | 1 | — | 25.8 |
|
60
Qwen 3.6 Flash
|
165.0 tok/s | 121.2M 16 | 1 | — | — |
|
61
GLM 5
|
57.6 tok/s | 120.2M 16 | 1 | — | 27.9 |
|
62
MiMo V2.6 Flash
|
48.0 tok/s | 115.2M 17 | 0.5 Unlimited | — | 37.9 |
|
63
Nemotron 3 Ultra
|
28.4 tok/s | 107.5M 18 | 0 | — | — |
|
64
Qwen 3.8 Max
|
36.7 tok/s | 102.2M 18 | 2.5–4.5 | — | 45.4 |
|
65
GPT-5.1 Codex Max
|
72.2 tok/s | 98.6M 18 | 4–5 | — | — |
|
66
GLM 5 Turbo
|
54.7 tok/s | 86.2M 18 | 1 | — | 26.6 |
|
67
Muse Spark 1.2 Contributor
|
123.9 tok/s | 85.3M 18 | 1 Unlimited | — | — |
|
68
Claude 4.1 Opus
|
34.5 tok/s | 84.8M 3 | 50–60 | — | 34.5 |
|
69
GLM 5V Turbo
|
67.3 tok/s | 84.7M 17 | 1 | — | 23.5 |
70
Grok 4.7
|
56.2 tok/s | 81.1M 17 | 2.5–4 | — | 46.4 |
|
71
MiMo V2.5 Pro
|
64.2 tok/s | 80.3M 17 | 1.5 | — | 26.0 |
|
72
Grok-4.1 Fast
|
112.7 tok/s | 80.1M 17 | 1 | — | 17.0 |
|
73
Grok-4 Fast
|
156.4 tok/s | 76.2M 17 | 1 | 0.4 | 16.6 |
|
74
Gemini 3.6 Flash
|
160.6 tok/s | 73.7M 17 | 3 | — | 34.0 |
|
75
Kimi K2.6
|
51.8 tok/s | 72.7M 18 | 1 | — | 27.0 |
|
76
GPT-4.1 mini
|
46.6 tok/s | 71.5M 39 | 1 | — | 10.2 |
|
77
Claude Fable 5.1
|
78.6 tok/s | 68.9M 17 | 30–44 | — | 53.4 |
|
78
Gemini 3.7 Flash
|
144.5 tok/s | 68.7M 17 | 4 | — | 39.1 |
|
79
Qwen 3.5 Flash
|
95.1 tok/s | 68.0M 17 | 1 | — | — |
|
80
Nemotron 3.5 Super VL
|
49.5 tok/s | 64.9M 18 | 0 | — | 26.5 |
|
81
Qwen 3.5 Plus
|
57.6 tok/s | 63.5M 18 | 1 | — | — |
|
82
Gemini 2.5 Pro
|
92.7 tok/s | 59.3M 37 | 4 | — | 25.9 |
|
83
MiniMax M3.1 Flash
|
67.5 tok/s | 45.2M 19 | 0.7–1.5 Unlimited | — | 42.7 |
|
84
Grok 4.6
|
56.8 tok/s | 45.2M 19 | 3.5–5 | — | 44.3 |
|
85
Claude 3.5 Haiku
|
54.7 tok/s | 43.7M 59 | 1 | — | 12.2 |
|
86
Ling 3.0 Flash
|
237.7 tok/s | 41.9M 21 | 1 | — | 20.1 |
|
87
Grok Build 0.1
|
125.7 tok/s | 41.5M 21 | 1 | — | — |
|
88
Claude 4 Sonnet
|
59.8 tok/s | 40.2M 68 | 6–7 | — | 29.8 |
|
89
MiniMax M2.5
|
50.9 tok/s | 39.5M 21 | 1 | — | 22.8 |
|
90
Laguna S 2.1
|
59.6 tok/s | 34.3M 21 | 0 | — | — |
|
91
Qwen 3.8 27B
|
43.4 tok/s | 33.3M 21 | 0 | — | 33.7 |
|
92
Kimi K3
|
32.6 tok/s | 30.3M 22 | 8 | — | 43.6 |
|
93
GPT-6 Astra
|
31.6 tok/s | 23.3M 23 | 30–42 | — | 52.7 |
|
94
Qwen3 235B A22B
|
39.3 tok/s | 19.8M 21 | 1 | — | — |
|
95
MiMo V2 Pro
|
82.2 tok/s | 18.6M 24 | 1 | — | 41.4 |
|
96
Qwen 3.7 Plus
|
45.2 tok/s | 18.3M 24 | 1 | — | 25.2 |
|
97
Muse Spark 1.3
|
124.6 tok/s | 18.1M 24 | 1–3 | — | 45.1 |
|
98
Gemini 4 Argon
|
59.0 tok/s | 17.5M 24 | 4–6 | — | 52.6 |
|
99
Grok 4.5
|
54.3 tok/s | 17.4M 24 | 4 | — | 38.8 |
|
100
Qwen 3.6 Max Preview
|
38.5 tok/s | 16.8M 24 | 4 | — | 28.4 |
|
101
Ox Alpha
|
29.7 tok/s | 15.1M 26 | 0 | — | — |
|
102
Grok-4.20 Beta
|
163.1 tok/s | 13.6M 27 | 4 | — | — |
|
103
GPT-5 Pro
|
15.1 tok/s | 12.9M 28 | 70 | — | — |
|
104
GLM 4.6
|
46.4 tok/s | 12.3M 26 | 1 | — | 14.9 |
|
105
DeepSeek V3.2 Thinking
|
33.8 tok/s | 10.9M 8 | 1 | — | — |
|
106
OpenAI o3
|
70.5 tok/s | 7.8M 47 | 4–5 | — | 20.2 |
|
107
Kimi K3.1 Pro
|
37.3 tok/s | 7.7M 27 | 8 | — | 55.1 |
108
Codestral (2508)
|
109.3 tok/s | 7.4M 28 | 1 | — | — |
|
109
Grok-4
|
38.9 tok/s | 7.3M 16 | 5 | — | 22.5 |
|
110
GLM 4.7
|
46.3 tok/s | 7.2M 27 | 1 | — | 34.5 |
|
111
Mistral Medium 3
|
68.9 tok/s | 7.1M 21 | 1 | — | 9.0 |
|
112
Mistral Medium 3.5
|
103.9 tok/s | 6.9M 26 | 2 | — | 14.2 |
|
113
GPT-5.2 Codex
|
66.3 tok/s | 5.2M 27 | 8 | — | 41.2 |
|
114
Llama 4 Maverick
|
55.6 tok/s | 3.4M 1 | 1 | — | 9.3 |
|
115
Kimi K2 Thinking
|
73.4 tok/s | 3.0M 31 | 1 | — | 22.0 |
|
116
Grok-4.20
|
175.7 tok/s | 2.8M 31 | 4 | — | 38.0 |
|
117
Grok-4.3
|
110.3 tok/s | 1.4M 33 | 3 | — | 24.9 |
|
118
Muse Spark 1.2
|
145.9 tok/s | 1.1M 33 | 1 | — | 39.6 |
|
119
Mistral Large 3
|
60.4 tok/s | 911.2K 33 | 1 | — | 5.8 |
|
120
Qwen3 Coder
|
84.2 tok/s | 812.7K 23 | 2 | — | — |
|
121
Mistral Large 4
|
58.1 tok/s | 465.2K 32 | 2 | — | 38.4 |
|
122
Claude 4 Opus
|
25.3 tok/s | 389.5K 21 | 50–60 | — | 31.7 |
|
123
Kimi K2 (0905)
|
52.3 tok/s | 253.1K 26 | 1 | — | 12.7 |
|
124
GPT-4o Mini
|
80.2 tok/s | 187.0K 88 | 1 | — | 6.7 |
|
125
GPT-4o
|
6.9 tok/s | 122.2K 86 | 2 | — | 9.4 |
|
126
Gemma 4 26B
|
8.6 tok/s | 21.3K 28 | 0 | — | 16.7 |
|
127
OpenAI o4-mini
|
110.6 tok/s | 13.2K 72 | 2 | — | 16.7 |
|
128
GPT-3.5 Turbo
|
0.0 tok/s | 10.1K 68 | 1 | — | 5.5 |
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.