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
—
Characters per second
Community favorite
—
Models with 10+ votes
Token usage over time
Model usage across CodingFleet.
Loading usage data…
Model leaderboard
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| Model | Speed | Usage | Credits | User score | Intelligence |
|---|---|---|---|---|---|
1
DeepSeek V4 Pro
|
263.7 chars/s | 7.6B | 1–2 | 0.7 | 53.2 |
|
2
DeepSeek V4 Flash
|
552.0 chars/s | 7.5B | 1 | — | 51.8 |
3
Claude Haiku 4.5
|
341.7 chars/s | 5.1B | 1–2 | 0.2 | — |
|
4
Claude Sonnet 4.5
|
159.1 chars/s | 4.6B | 7–8 | 0.5 | — |
|
5
Claude Sonnet 4.6
|
145.0 chars/s | 3.2B | 9–10 | 1.0 | 36.8 |
6
GPT-5.2
|
117.4 chars/s | 2.9B | 4–8 | 0.8 | 43.3 |
|
7
Claude Opus 4.6
|
129.1 chars/s | 2.6B | 15–17 | 1.0 | 38.8 |
|
8
GPT-5.4
|
147.6 chars/s | 2.3B | 7–11 | 0.9 | 53.1 |
|
9
GPT-5 Mini
|
138.4 chars/s | 2.2B | 1–2 | 0.7 | 31.6 |
10
Gemini 3 Flash
|
304.7 chars/s | 2.1B | 1 | 0.3 | 27.9 |
|
11
Claude Opus 4.5
|
177.5 chars/s | 2.0B | 15–17 | — | 41.9 |
|
12
GPT-5.4 Mini
|
354.4 chars/s | 1.6B 1 | 1–2 | 0.1 | 40.9 |
|
13
GPT-5
|
92.4 chars/s | 1.5B 1 | 3–5 | 1.0 | 35.3 |
|
14
Claude Opus 4.8
|
141.3 chars/s | 1.3B 1 | 16–18 | — | 57.3 |
|
15
GPT-5.6 Luna
|
395.8 chars/s | 1.3B 1 | 1 | 0.0 | 52.3 |
|
16
Claude Opus 4.7
|
140.2 chars/s | 1.0B 1 | 15–17 | — | 55.0 |
|
17
Claude 4 Sonnet
|
158.9 chars/s | 803.8M 5 | 6–7 | 0.7 | 29.8 |
|
18
GPT-5.1
|
167.6 chars/s | 707.0M 1 | 3–5 | 0.9 | 37.5 |
|
19
GPT-5.5
|
204.9 chars/s | 660.4M 2 | 13–22 | — | 56.3 |
|
20
GPT-5.6 Terra
|
612.1 chars/s | 651.7M 2 | 5–9 | 1.0 | 56.6 |
|
21
GPT-5.2 Codex
|
111.8 chars/s | 646.4M 2 | 5–9 | 0.8 | 41.2 |
|
22
Gemini 3.1 Pro
|
183.5 chars/s | 617.5M 2 | 6 | 1.0 | 47.7 |
|
23
GPT-5.1 Codex Mini
|
263.8 chars/s | 555.0M 5 | 1 | 0.7 | 31.3 |
|
24
GPT-5.3 Codex
|
109.9 chars/s | 497.3M 6 | 5–9 | — | 45.5 |
|
25
DeepSeek V3.2
|
103.9 chars/s | 454.6M 5 | 1 | 0.2 | 25.1 |
|
26
Gemini 3 Pro
|
159.9 chars/s | 410.9M 7 | 4 | 1.0 | 40.6 |
|
27
GPT-5.6 Sol
|
383.0 chars/s | 358.1M 7 | 14–24 | 1.0 | 60.9 |
|
28
Gemini 2.5 Flash
|
377.4 chars/s | 275.3M 8 | 1 | 0.2 | 14.2 |
29
GLM 5.1
|
134.8 chars/s | 245.7M 9 | 2 | — | 41.0 |
|
30
GPT-4.1
|
177.3 chars/s | 230.2M 4 | 6 | — | 19.6 |
|
31
Gemini 2.5 Pro
|
154.7 chars/s | 205.8M 4 | 4 | 0.7 | 25.9 |
|
32
Claude Fable 5 Thinking
|
180.8 chars/s | 184.9M 11 | 36 | — | 62.1 |
33
MiniMax M2.7
|
196.0 chars/s | 184.1M 11 | 1 | — | 38.9 |
34
Qwen 3.6 Plus
|
74.5 chars/s | 172.5M 11 | 1 | — | 40.5 |
|
35
Qwen 3.7 Max
|
133.7 chars/s | 169.3M 12 | 3 | — | 46.7 |
|
36
MiniMax M3
|
284.0 chars/s | 164.6M 12 | 1 | — | 45.4 |
|
37
Qwen 3.7 Flash
|
393.5 chars/s | 158.1M 12 | 1 | — | — |
|
38
GLM 5.2
|
249.6 chars/s | 141.8M 13 | 2 | — | 52.6 |
39
Kimi K2.5
|
95.5 chars/s | 141.0M 13 | 1 | — | 36.0 |
|
40
Gemini 3.5 Flash
|
320.2 chars/s | 137.1M 14 | 4 | 1.0 | 52.0 |
|
41
Claude 4.1 Opus
|
112.4 chars/s | 127.2M 12 | 50–60 | — | 34.5 |
|
42
Qwen 3.6 Flash
|
271.8 chars/s | 121.2M 13 | 1 | — | — |
|
43
GLM 5
|
186.2 chars/s | 120.2M 13 | 1 | — | 40.6 |
44
Nemotron 3.5 Lightning
|
561.0 chars/s | 108.3M 15 | 0 | — | 23.6 |
|
45
GPT-4.1 mini
|
218.0 chars/s | 105.9M 13 | 1 | — | 14.8 |
|
46
GPT-5.1 Codex Max
|
196.7 chars/s | 98.6M 14 | 4–5 | — | — |
|
47
Claude Sonnet 5
|
357.0 chars/s | 98.4M 14 | 6–12 | — | 53.4 |
|
48
Claude 3.5 Haiku
|
201.7 chars/s | 93.1M 30 | 1 | — | 12.2 |
49
Hy3
|
145.1 chars/s | 93.0M 13 | 1 | — | 42.2 |
|
50
Kimi K2.7 Code
|
182.0 chars/s | 92.4M 13 | 1 | — | 43.0 |
|
51
GLM 5 Turbo
|
164.2 chars/s | 86.2M 13 | 1 | — | 39.1 |
52
Grok-4.1 Fast
|
165.2 chars/s | 80.1M 13 | 1 | — | 17.0 |
|
53
Grok-4 Fast
|
373.5 chars/s | 76.7M 13 | 1 | 0.4 | 16.6 |
|
54
Kimi K2.6
|
62.8 chars/s | 71.6M 14 | 1 | — | 45.1 |
55
MiMo V2.5 Pro
|
194.6 chars/s | 69.6M 14 | 1 | — | 42.9 |
|
56
Gemini 3.6 Flash
|
524.7 chars/s | 68.0M 14 | 3 | — | 51.6 |
|
57
Qwen 3.5 Flash
|
346.2 chars/s | 68.0M 14 | 1 | — | — |
|
58
Qwen 3.5 Plus
|
178.5 chars/s | 63.5M 15 | 1 | — | — |
|
59
GLM 5V Turbo
|
234.0 chars/s | 60.3M 15 | 1 | — | 35.3 |
|
60
Grok Build 0.1
|
328.3 chars/s | 39.8M 21 | 1 | — | — |
|
61
MiniMax M2.5
|
142.6 chars/s | 39.5M 21 | 1 | — | 34.5 |
|
62
Nemotron 3 Ultra
|
177.6 chars/s | 26.9M 22 | 0 | — | — |
|
63
DeepSeek V3.2 Thinking
|
58.8 chars/s | 25.6M 9 | 1 | — | — |
|
64
Laguna S 2.1
|
239.6 chars/s | 22.8M 22 | 0 | — | — |
|
65
Qwen3 235B A22B
|
170.4 chars/s | 21.9M 20 | 1 | — | — |
|
66
Kimi K3
|
100.2 chars/s | 21.9M 21 | 7 | — | 59.7 |
|
67
OpenAI o3
|
100.0 chars/s | 19.6M 26 | 4–5 | — | 31.1 |
|
68
MiMo V2 Pro
|
302.5 chars/s | 18.6M 22 | 1 | — | 41.4 |
|
69
Gemini 2.0 Flash
|
529.7 chars/s | 17.1M 32 | 1 | — | 12.2 |
|
70
Qwen 3.8 Max
|
86.3 chars/s | 17.1M 21 | 3 | — | 58.1 |
|
71
Qwen 3.6 Max Preview
|
50.5 chars/s | 16.8M 21 | 4 | — | 41.1 |
|
72
Qwen 3.7 Plus
|
258.4 chars/s | 16.0M 23 | 1 | — | 39.4 |
|
73
Claude 3.7 Sonnet
|
163.0 chars/s | 14.8M 46 | 6–7 | — | 27.6 |
|
74
Claude Opus 5
|
290.6 chars/s | 14.2M 23 | 15–22 | — | 62.5 |
|
75
Grok-4.20 Beta
|
627.6 chars/s | 13.6M 23 | 4 | — | — |
|
76
Grok-4
|
119.9 chars/s | 13.4M 17 | 5 | — | 34.1 |
|
77
GLM 4.6
|
159.0 chars/s | 13.0M 22 | 1 | — | 23.4 |
|
78
GPT-5 Pro
|
35.0 chars/s | 12.9M 22 | 70 | — | — |
|
79
Gemma 4 26B
|
78.5 chars/s | 12.2M 22 | 0 | — | 26.1 |
|
80
Gemini 3.7 Flash
|
610.8 chars/s | 11.5M 22 | 2 | — | 56.0 |
|
81
Ling 3.0 Flash
|
637.4 chars/s | 8.6M 22 | 0 | — | 37.8 |
|
82
Grok 4.5
|
418.1 chars/s | 8.0M 23 | 4 | — | 55.8 |
83
Mistral Medium 3
|
262.6 chars/s | 7.6M 21 | 1 | — | 12.5 |
|
84
Codestral (2508)
|
455.9 chars/s | 7.4M 24 | 1 | — | — |
|
85
GLM 4.7
|
91.8 chars/s | 7.2M 24 | 1 | — | 34.5 |
|
86
Mistral Medium 3.5
|
373.7 chars/s | 5.6M 25 | 2 | — | 30.4 |
|
87
GPT-5.2 Codex
|
225.7 chars/s | 5.2M 25 | 8 | — | 41.2 |
88
Llama 4 Maverick
|
248.1 chars/s | 3.9M 5 | 1 | — | 14.5 |
|
89
Kimi K2 Thinking
|
138.5 chars/s | 3.0M 29 | 1 | — | 33.5 |
|
90
Grok-4.20
|
700.7 chars/s | 2.8M 29 | 4 | — | 38.0 |
|
91
Qwen3 Coder
|
323.7 chars/s | 2.0M 24 | 2 | — | — |
|
92
Kimi K2 (0905)
|
184.7 chars/s | 1.6M 29 | 1 | — | 19.7 |
|
93
Grok-3 Mini (Beta)
|
264.3 chars/s | 1.5M 13 | 1 | — | — |
|
94
Grok-4.3
|
349.3 chars/s | 1.4M 28 | 3 | — | 37.9 |
|
95
Mistral Large 3
|
253.3 chars/s | 823.1K 28 | 1 | — | 4.1 |
|
96
Grok 4.6
|
185.7 chars/s | 730.6K 28 | 3 | — | 60.9 |
|
97
Muse Spark 1.2
|
805.0 chars/s | 559.5K 28 | 1 | — | 56.8 |
|
98
Claude 4 Opus
|
82.4 chars/s | 389.5K 22 | 50–60 | — | 31.7 |
|
99
Llama 3.1 405B
|
109.6 chars/s | 238.6K 22 | 2 | — | — |
|
100
GPT-4o Mini
|
16.6 chars/s | 184.9K 71 | 1 | — | 6.7 |
|
101
GPT-4o
|
54.3 chars/s | 122.3K 70 | 2 | — | 9.4 |
|
102
OpenAI o4-mini
|
142.4 chars/s | 13.8K 60 | 2 | — | 26.1 |
|
103
GPT-3.5 Turbo
|
85.0 chars/s | 10.2K 63 | 1 | — | 3.2 |
|
104
DeepSeek R1
|
273.3 chars/s | 1.4K 6 | 1 | — | 20.4 |
|
105
DeepSeek V3
|
204.1 chars/s | 1.1K 12 | 1 | — | 14.2 |
|
106
Claude 3.5 Sonnet
|
167.6 chars/s | 319 81 | 2 | — | 9.8 |
|
107
Grok-3 (Beta)
|
99.0 chars/s | 142 7 | 3 | — | — |
|
108
Llama 3.3 70B
|
136.6 chars/s | 107 28 | 1 | — | — |
|
109
GPT-4 Turbo
|
43.7 chars/s | 62 34 | 10 | — | 7.7 |
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. One-credit models are unlimited on eligible Unlimited and Elite plans; 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.