See how models perform in the real world.
Usage, speed, value, and intelligence scores—grounded in how CodingFleet users actually work, not marketing claims.
Token usage over time
Model usage across CodingFleet.
Model leaderboard
Sort any metric, then narrow the list without reloading.
| Model | Speed | Usage | Credits | User score | Intelligence |
|---|---|---|---|---|---|
1
DeepSeek V4 Pro
|
234.9 chars/s | 13.3B | 1–3 | 0.7 | 44.3 |
2
DeepSeek V4 Flash
|
528.6 chars/s | 12.5B | 1 Unlimited | 0.8 | 49.9 |
3
Claude Haiku 4.5
|
345.9 chars/s | 5.2B | 2–3 | 0.1 | — |
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
|
117.8 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
|
148.9 chars/s | 2.3B 1 | 8–12 | 0.9 | 53.1 |
9
GPT-5 Mini
|
143.0 chars/s | 2.3B 1 | 1–2 | 0.6 | 31.6 |
10
Gemini 3 Flash
|
306.5 chars/s | 2.1B | 1 | 0.2 | 20.8 |
11
GPT-5.6 Luna
|
347.5 chars/s | 2.0B | 1 Unlimited | 0.2 | 51.2 |
12
Claude Opus 4.5
|
177.5 chars/s | 2.0B | 15–17 | — | 41.9 |
13
GPT-5.4 Mini
|
384.1 chars/s | 1.7B 1 | 1–2 | 0.3 | 40.9 |
14
GPT-5.6 Terra
|
625.0 chars/s | 1.6B 2 | 5–9 | 0.9 | 55.0 |
15
Claude Opus 4.8
|
144.1 chars/s | 1.4B 2 | 16–18 | — | 57.3 |
16
Claude Sonnet 5
|
286.0 chars/s | 1.4B 2 | 6–12 | — | 53.4 |
17
GPT-5
|
91.3 chars/s | 1.3B 2 | 3–5 | 1.0 | 35.3 |
18
Claude Opus 4.7
|
140.2 chars/s | 1.0B 1 | 15–17 | — | 55.0 |
19
GPT-5.1
|
202.7 chars/s | 760.8M 2 | 3–5 | 0.9 | 37.5 |
20
GPT-5.5
|
202.7 chars/s | 662.5M 3 | 13–22 | — | 56.3 |
21
GPT-5.2 Codex
|
115.7 chars/s | 654.6M 3 | 5–9 | 0.8 | 41.2 |
22
Gemini 3.1 Pro
|
187.4 chars/s | 648.3M 3 | 6 | 1.0 | 38.3 |
23
GPT-5.1 Codex Mini
|
263.8 chars/s | 555.0M 6 | 1 | 0.7 | 31.3 |
24
Claude 4 Sonnet
|
154.5 chars/s | 521.1M 11 | 6–7 | 0.9 | 29.8 |
25
GPT-5.3 Codex
|
109.9 chars/s | 497.3M 7 | 5–9 | — | 45.5 |
26
Gemini 3 Pro
|
159.9 chars/s | 410.9M 8 | 4 | 1.0 | 40.6 |
27
DeepSeek V3.2
|
107.3 chars/s | 399.0M 5 | 1 | 0.1 | 25.1 |
28
GPT-5.6 Sol
|
374.5 chars/s | 372.3M 7 | 13–23 | 1.0 | 58.9 |
29
Qwen 3.7 Flash
|
405.0 chars/s | 278.6M 10 | 1 Unlimited | — | — |
30
MiniMax M2.7
|
199.3 chars/s | 271.3M 10 | 1 | — | 30.1 |
31
GLM 5.1
|
135.3 chars/s | 249.9M 10 | 2 | — | 41.0 |
32
Gemini 2.5 Flash
|
378.5 chars/s | 245.2M 5 | 1 | 0.2 | 14.2 |
33
Claude Opus 5
|
235.6 chars/s | 241.2M 10 | 15–22 | — | 60.7 |
34
Claude Fable 5 Thinking
|
184.1 chars/s | 230.5M 11 | 36 | — | 62.1 |
35
GPT-4.1
|
178.2 chars/s | 208.6M 7 | 6 | — | 19.6 |
36
Qwen 3.6 Plus
|
77.7 chars/s | 176.7M 13 | 1 Unlimited | — | 31.5 |
37
Qwen 3.7 Max
|
136.4 chars/s | 169.5M 14 | 3 | — | 46.7 |
38
MiniMax M3
|
287.1 chars/s | 168.4M 14 | 1 | — | 35.7 |
39
GLM 5.2
|
255.6 chars/s | 153.8M 14 | 2 | — | 42.5 |
40
Kimi K2.5
|
95.8 chars/s | 145.2M 14 | 1 | — | 36.0 |
41
Gemini 2.5 Pro
|
154.2 chars/s | 139.0M 5 | 4 | 0.5 | 25.9 |
42
Gemini 3.5 Flash
|
320.2 chars/s | 137.1M 14 | 4 | 1.0 | 52.0 |
|
43
|
379.9 chars/s | 127.0M 14 | 0 | — | 16.4 |
44
Hy3
|
150.3 chars/s | 125.7M 14 | 1 Unlimited | — | 33.2 |
45
Qwen 3.8 Flash
|
183.3 chars/s | 121.8M 14 | 1 Unlimited | — | — |
46
Qwen 3.6 Flash
|
271.8 chars/s | 121.2M 14 | 1 | — | — |
47
GLM 5
|
186.2 chars/s | 120.2M 14 | 1 | — | 40.6 |
48
Claude 4.1 Opus
|
120.6 chars/s | 114.4M 7 | 50–60 | — | 34.5 |
49
Kimi K2.7 Code
|
185.7 chars/s | 112.9M 14 | 1 | — | 33.9 |
50
GPT-5.1 Codex Max
|
196.7 chars/s | 98.6M 15 | 4–5 | — | — |
51
GPT-4.1 mini
|
213.2 chars/s | 92.8M 20 | 1 | — | 14.8 |
52
GLM 5 Turbo
|
164.2 chars/s | 86.2M 14 | 1 | — | 39.1 |
53
Grok-4.1 Fast
|
165.2 chars/s | 80.1M 14 | 1 | — | 17.0 |
54
MiMo V2.5 Pro
|
203.1 chars/s | 77.0M 14 | 1 | — | 32.6 |
55
Grok-4 Fast
|
373.5 chars/s | 76.7M 14 | 1 | 0.4 | 16.6 |
56
Gemini 3.6 Flash
|
522.9 chars/s | 73.7M 14 | 3 | — | 51.6 |
57
Kimi K2.6
|
63.4 chars/s | 72.7M 15 | 1 | — | 45.1 |
58
Muse Spark 1.2 Contributor
|
624.3 chars/s | 68.3M 15 | 1 Unlimited | — | — |
59
Qwen 3.5 Flash
|
346.2 chars/s | 68.0M 15 | 1 | — | — |
60
GLM 5V Turbo
|
244.6 chars/s | 66.5M 16 | 1 | — | 35.3 |
61
Qwen 3.5 Plus
|
178.5 chars/s | 63.5M 16 | 1 | — | — |
62
Claude 3.5 Haiku
|
201.5 chars/s | 51.6M 42 | 1 | — | 12.2 |
63
Gemini 3.7 Flash
|
437.2 chars/s | 49.1M 17 | 2 | — | 45.2 |
64
Grok Build 0.1
|
311.4 chars/s | 41.5M 20 | 1 | — | — |
65
GLM 5.3
|
162.7 chars/s | 40.1M 21 | 2 | — | 48.6 |
66
MiniMax M2.5
|
142.6 chars/s | 39.5M 21 | 1 | — | 34.5 |
67
GLM 5.3 Flash
|
83.1 chars/s | 38.8M 21 | 1 Unlimited | — | 46.2 |
|
68
|
172.1 chars/s | 35.7M 21 | 0 | — | — |
69
Kimi K3
|
98.1 chars/s | 29.7M 22 | 7 | — | 50.2 |
|
70
|
626.5 chars/s | 26.0M 22 | 1 Unlimited | — | 27.4 |
71
Qwen 3.8 Max
|
105.3 chars/s | 23.4M 23 | 3 | — | 46.9 |
|
72
|
218.4 chars/s | 23.3M 23 | 0 | — | — |
73
Qwen3 235B A22B
|
164.7 chars/s | 21.5M 20 | 1 | — | — |
74
DeepSeek V3.2 Thinking
|
65.6 chars/s | 20.7M 1 | 1 | — | — |
75
Muse Spark 1.3 Contributor
|
324.5 chars/s | 20.2M 22 | 1 Unlimited | — | — |
76
MiMo V2 Pro
|
302.5 chars/s | 18.6M 23 | 1 | — | 41.4 |
77
Qwen 3.6 Max Preview
|
50.5 chars/s | 16.8M 23 | 4 | — | 41.1 |
78
Qwen 3.7 Plus
|
247.4 chars/s | 16.4M 24 | 1 | — | 30.8 |
79
Gemini 3.8 Flash
|
287.6 chars/s | 15.9M 25 | 1–2 | — | 46.8 |
|
80
|
73.3 chars/s | 15.1M 25 | 0 | — | — |
|
81
|
83.1 chars/s | 14.2M 26 | 0 | — | 19.2 |
82
Grok-4.20 Beta
|
627.6 chars/s | 13.6M 26 | 4 | — | — |
83
OpenAI o3
|
99.6 chars/s | 13.1M 37 | 4–5 | — | 31.1 |
84
GLM 4.6
|
159.0 chars/s | 13.0M 25 | 1 | — | 23.4 |
85
GPT-5 Pro
|
35.0 chars/s | 12.9M 25 | 70 | — | — |
86
Grok-4
|
108.9 chars/s | 11.1M 15 | 5 | — | 34.1 |
87
Claude 3.7 Sonnet
|
171.5 chars/s | 11.0M 60 | 6–7 | — | 27.6 |
88
Grok 4.5
|
397.4 chars/s | 10.9M 23 | 4 | — | 55.8 |
89
Grok 4.6
|
216.5 chars/s | 10.4M 23 | 3 | — | 50.6 |
90
Mistral Medium 3
|
261.6 chars/s | 7.5M 23 | 1 | — | 12.5 |
91
Codestral (2508)
|
455.9 chars/s | 7.4M 25 | 1 | — | — |
92
GLM 4.7
|
91.8 chars/s | 7.2M 25 | 1 | — | 34.5 |
93
Mistral Medium 3.5
|
378.1 chars/s | 5.7M 26 | 2 | — | 22.7 |
94
GPT-5.2 Codex
|
225.7 chars/s | 5.2M 26 | 8 | — | 41.2 |
95
Llama 4 Maverick
|
244.3 chars/s | 3.7M 5 | 1 | — | 14.5 |
96
Gemini 2.0 Flash
|
535.8 chars/s | 3.4M 58 | 1 | — | 12.2 |
97
Kimi K2 Thinking
|
138.5 chars/s | 3.0M 29 | 1 | — | 33.5 |
98
Grok-4.20
|
700.7 chars/s | 2.8M 29 | 4 | — | 38.0 |
99
Qwen3 Coder
|
330.1 chars/s | 1.9M 24 | 2 | — | — |
100
Kimi K2 (0905)
|
184.7 chars/s | 1.6M 29 | 1 | — | 19.7 |
101
Grok-4.3
|
349.3 chars/s | 1.4M 29 | 3 | — | 37.9 |
102
Claude Fable 5.1
|
56.4 chars/s | 1.3M 29 | 28–42 | — | 53.8 |
103
Muse Spark 1.2
|
666.1 chars/s | 1.1M 29 | 1 | — | 46.8 |
104
Muse Spark 1.3
|
442.6 chars/s | 1.1M 29 | 2 | — | 52.7 |
105
Mistral Large 3
|
239.6 chars/s | 911.2K 29 | 1 | — | 4.1 |
106
Claude 4 Opus
|
82.4 chars/s | 389.5K 27 | 50–60 | — | 31.7 |
107
Grok-3 Mini (Beta)
|
175.1 chars/s | 294.3K 7 | 1 | — | — |
108
Llama 3.1 405B
|
109.6 chars/s | 205.4K 27 | 2 | — | — |
109
GPT-4o Mini
|
16.6 chars/s | 184.9K 79 | 1 | — | 6.7 |
110
GPT-4o
|
54.3 chars/s | 122.3K 77 | 2 | — | 9.4 |
111
OpenAI o4-mini
|
142.4 chars/s | 13.8K 69 | 2 | — | 26.1 |
112
GPT-3.5 Turbo
|
85.0 chars/s | 10.2K 65 | 1 | — | 3.2 |
113
DeepSeek R1
|
273.3 chars/s | 1.4K 5 | 1 | — | 20.4 |
114
Hy4 Preview
|
47.8 chars/s | 1.3K 21 | 2 | — | — |
115
DeepSeek V3
|
204.1 chars/s | 1.1K 10 | 1 | — | 14.2 |
116
Claude 3.5 Sonnet
|
167.6 chars/s | 319 90 | 2 | — | 9.8 |
117
Grok-3 (Beta)
|
99.0 chars/s | 142 5 | 3 | — | — |
118
GPT-6 Astra
|
28.8 chars/s | 110 18 | 30 | — | 49.3 |
119
Llama 3.3 70B
|
136.6 chars/s | 107 34 | 1 | — | — |
120
GPT-4 Turbo
|
43.7 chars/s | 62 42 | 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, 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.