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
|
235.5 chars/s | 13.3B | 1–3 | 0.7 | 42.1 |
2
DeepSeek V4 Flash
|
531.3 chars/s | 12.7B | 1 Unlimited | 0.8 | 40.8 |
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
|
142.9 chars/s | 2.3B 1 | 1–2 | 0.6 | 31.6 |
10
Gemini 3 Flash
|
306.4 chars/s | 2.1B | 1 | 0.2 | 20.8 |
11
GPT-5.6 Luna
|
350.1 chars/s | 2.1B | 1 Unlimited | 0.2 | 43.4 |
12
Claude Opus 4.5
|
177.5 chars/s | 2.0B | 15–17 | — | 41.9 |
13
GPT-5.4 Mini
|
411.9 chars/s | 1.7B 1 | 1–2 | 0.3 | 10.6 |
14
GPT-5.6 Terra
|
628.7 chars/s | 1.6B 2 | 5–8 | 0.9 | 46.8 |
15
Claude Opus 4.8
|
144.1 chars/s | 1.4B 2 | 16–18 | — | 46.4 |
16
Claude Sonnet 5
|
286.2 chars/s | 1.4B 2 | 6–12 | — | 53.4 |
17
GPT-5
|
91.1 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 | — | 44.1 |
21
GPT-5.2 Codex
|
115.7 chars/s | 654.6M 3 | 5–9 | 0.8 | 41.2 |
22
Gemini 3.1 Pro
|
187.3 chars/s | 648.3M 3 | 6 | 1.0 | 36.7 |
23
GPT-5.1 Codex Mini
|
263.8 chars/s | 555.0M 6 | 1 | 0.7 | 31.3 |
24
GPT-5.3 Codex
|
109.9 chars/s | 497.3M 8 | 5–9 | — | 45.5 |
25
Claude 4 Sonnet
|
154.5 chars/s | 496.1M 12 | 6–7 | 0.9 | 29.8 |
26
Gemini 3 Pro
|
159.9 chars/s | 410.9M 8 | 4 | 1.0 | 40.6 |
27
DeepSeek V3.2
|
107.5 chars/s | 394.2M 5 | 1 | 0.1 | 25.1 |
28
GPT-5.6 Sol
|
374.5 chars/s | 372.3M 7 | 13–23 | 1.0 | 51.3 |
29
Qwen 3.7 Flash
|
401.0 chars/s | 279.0M 10 | 1 Unlimited | — | — |
30
MiniMax M2.7
|
199.2 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
|
378.4 chars/s | 243.6M 5 | 1 | 0.2 | 14.2 |
33
Claude Opus 5
|
235.6 chars/s | 241.2M 10 | 15–22 | — | 54.1 |
34
Claude Fable 5 Thinking
|
184.1 chars/s | 230.5M 11 | 36 | — | 62.1 |
35
GPT-4.1
|
178.0 chars/s | 207.0M 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
|
287.2 chars/s | 168.7M 14 | 1 | — | 35.7 |
39
Qwen 3.8 Flash
|
194.6 chars/s | 154.9M 14 | 1 Unlimited | — | — |
40
GLM 5.2
|
255.6 chars/s | 153.8M 14 | 2 | — | 42.5 |
41
Kimi K2.5
|
95.8 chars/s | 145.2M 14 | 1 | — | 36.0 |
42
Gemini 3.5 Flash
|
320.2 chars/s | 137.1M 15 | 4 | 1.0 | 52.0 |
43
Gemini 2.5 Pro
|
153.7 chars/s | 136.9M 7 | 4 | 0.5 | 25.9 |
|
44
|
379.3 chars/s | 127.0M 14 | 0 | — | 16.4 |
45
Hy3
|
150.2 chars/s | 125.9M 14 | 1 Unlimited | — | 33.2 |
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
Kimi K2.7 Code
|
186.3 chars/s | 115.0M 15 | 1 | — | 33.9 |
49
Claude 4.1 Opus
|
121.0 chars/s | 113.9M 7 | 50–60 | — | 34.5 |
50
GPT-5.1 Codex Max
|
196.7 chars/s | 98.6M 15 | 4–5 | — | — |
51
GPT-4.1 mini
|
213.0 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
|
640.9 chars/s | 70.3M 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
|
201.4 chars/s | 51.4M 42 | 1 | — | 12.2 |
63
Gemini 3.7 Flash
|
436.8 chars/s | 49.1M 17 | 2 | — | 45.2 |
64
Muse Spark 1.3 Contributor
|
496.4 chars/s | 42.4M 17 | 1 Unlimited | — | — |
65
Grok Build 0.1
|
311.4 chars/s | 41.5M 20 | 1 | — | — |
66
GLM 5.3
|
153.8 chars/s | 41.2M 21 | 2–3 | — | 48.6 |
67
MiniMax M2.5
|
142.6 chars/s | 39.5M 21 | 1 | — | 34.5 |
68
GLM 5.3 Flash
|
95.5 chars/s | 39.1M 21 | 1 Unlimited | — | 46.2 |
|
69
|
172.1 chars/s | 35.7M 21 | 0 | — | — |
70
Gemini 3.8 Flash
|
421.8 chars/s | 30.0M 22 | 1–3 | — | 47.1 |
71
Kimi K3
|
98.1 chars/s | 29.7M 22 | 7 | — | 50.2 |
|
72
|
637.6 chars/s | 26.1M 22 | 1 Unlimited | — | 27.4 |
|
73
|
218.4 chars/s | 23.3M 23 | 0 | — | — |
74
Qwen3 235B A22B
|
165.0 chars/s | 21.4M 21 | 1 | — | — |
75
DeepSeek V3.2 Thinking
|
65.6 chars/s | 20.3M | 1 | — | — |
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
|
73.3 chars/s | 15.1M 25 | 0 | — | — |
|
80
|
83.2 chars/s | 14.3M 26 | 0 | — | 19.2 |
81
Grok-4.20 Beta
|
627.6 chars/s | 13.6M 26 | 4 | — | — |
82
OpenAI o3
|
99.6 chars/s | 13.1M 36 | 4–5 | — | 31.1 |
83
GLM 4.6
|
159.0 chars/s | 13.0M 25 | 1 | — | 23.4 |
84
GPT-5 Pro
|
35.0 chars/s | 12.9M 25 | 70 | — | — |
85
Grok 4.5
|
397.4 chars/s | 10.9M 25 | 4 | — | 55.8 |
86
Grok-4
|
109.2 chars/s | 10.8M 15 | 5 | — | 34.1 |
87
Grok 4.6
|
216.5 chars/s | 10.4M 24 | 3 | — | 50.6 |
88
Claude 3.7 Sonnet
|
170.0 chars/s | 10.0M 61 | 6–7 | — | 27.6 |
89
Mistral Medium 3
|
261.6 chars/s | 7.4M 23 | 1 | — | 12.5 |
90
Codestral (2508)
|
455.9 chars/s | 7.4M 25 | 1 | — | — |
91
GLM 4.7
|
91.8 chars/s | 7.2M 25 | 1 | — | 34.5 |
92
Mistral Medium 3.5
|
378.1 chars/s | 5.7M 26 | 2 | — | 22.7 |
93
GPT-5.2 Codex
|
225.7 chars/s | 5.2M 26 | 8 | — | 41.2 |
94
Llama 4 Maverick
|
244.3 chars/s | 3.6M 3 | 1 | — | 14.5 |
95
Gemini 2.0 Flash
|
536.0 chars/s | 3.2M 57 | 1 | — | 12.2 |
96
Kimi K2 Thinking
|
138.5 chars/s | 3.0M 29 | 1 | — | 33.5 |
97
Grok-4.20
|
700.7 chars/s | 2.8M 29 | 4 | — | 38.0 |
98
Muse Spark 1.3
|
451.8 chars/s | 1.8M 30 | 2 | — | — |
99
Qwen3 Coder
|
330.1 chars/s | 1.8M 23 | 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 | — | 56.8 |
103
Muse Spark 1.2
|
666.1 chars/s | 1.1M 29 | 1 | — | 46.8 |
104
Mistral Large 3
|
239.6 chars/s | 911.2K 29 | 1 | — | 4.1 |
105
GPT-6 Astra
|
690.4 chars/s | 695.3K 29 | 30–42 | — | 54.7 |
106
Hy4 Preview
|
219.7 chars/s | 396.9K 29 | 2 | — | — |
107
Claude 4 Opus
|
82.4 chars/s | 389.5K 28 | 50–60 | — | 31.7 |
108
Grok-3 Mini (Beta)
|
175.1 chars/s | 196.4K 5 | 1 | — | — |
109
GPT-4o Mini
|
16.6 chars/s | 184.9K 79 | 1 | — | 6.7 |
110
Llama 3.1 405B
|
109.6 chars/s | 131.0K 28 | 2 | — | — |
111
GPT-4o
|
54.3 chars/s | 122.3K 78 | 2 | — | 9.4 |
112
OpenAI o4-mini
|
142.4 chars/s | 13.8K 70 | 2 | — | 26.1 |
113
GPT-3.5 Turbo
|
85.0 chars/s | 10.2K 66 | 1 | — | 3.2 |
114
DeepSeek R1
|
273.3 chars/s | 1.4K 3 | 1 | — | 20.4 |
115
DeepSeek V3
|
204.1 chars/s | 1.1K 9 | 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 4 | 3 | — | — |
118
Llama 3.3 70B
|
136.6 chars/s | 107 32 | 1 | — | — |
119
GPT-4 Turbo
|
43.7 chars/s | 62 41 | 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.