Models tracked
—
Across the selected period
Usage, speed, value, and intelligence scores—grounded in how CodingFleet users actually work, not marketing claims.
Model usage across CodingFleet.
Sort any metric, then narrow the list without reloading.
| Model | Speed | Usage | Credits | User score | Intelligence |
|---|---|---|---|---|---|
1
DeepSeek V4 Flash
|
551.2 chars/s | 6.5B | 1 | — | 49.9 |
2
DeepSeek V4 Pro
|
246.1 chars/s | 6.1B | 1 | 0.7 | 44.3 |
3
Claude Haiku 4.5
|
339.3 chars/s | 5.1B | 1 | 0.2 | — |
4
Claude Sonnet 4.5
|
159.1 chars/s | 4.6B | 7–8 | 0.5 | — |
5
Claude Sonnet 4.6
|
144.9 chars/s | 3.2B | 9–10 | 1.0 | 35.9 |
6
GPT-5.2
|
117.4 chars/s | 2.9B | 4–8 | 0.8 | 42.2 |
7
Claude Opus 4.6
|
129.1 chars/s | 2.6B | 15–17 | 1.0 | 37.8 |
8
GPT-5.4
|
146.7 chars/s | 2.3B | 6–11 | 0.9 | 51.4 |
9
GPT-5 Mini
|
139.2 chars/s | 2.2B | 1–2 | 0.7 | 25.3 |
10
Gemini 3 Flash
|
303.2 chars/s | 2.1B | 1 | 0.3 | 27.4 |
11
Claude Opus 4.5
|
177.5 chars/s | 2.0B | 15–17 | — | 34.7 |
12
GPT-5.4 Mini
|
353.5 chars/s | 1.6B 1 | 1–2 | 0.1 | 40.0 |
13
GPT-5
|
93.0 chars/s | 1.6B 1 | 3–5 | 1.0 | 34.7 |
14
Claude Opus 4.8
|
142.9 chars/s | 1.2B 1 | 15–17 | — | 55.7 |
15
Claude Opus 4.7
|
140.2 chars/s | 1.0B 1 | 15–17 | — | 53.5 |
16
Claude 4 Sonnet
|
159.5 chars/s | 976.0M 4 | 6–7 | 0.7 | 28.9 |
17
GPT-5.1
|
167.6 chars/s | 707.0M 1 | 3–5 | 0.9 | 36.9 |
18
Claude Sonnet 5
|
248.7 chars/s | 696.9M 1 | 6–7 | — | 53.4 |
19
GPT-5.6 Luna
|
445.9 chars/s | 666.1M 1 | 1 | 0.2 | 51.2 |
20
GPT-5.5
|
199.4 chars/s | 657.4M 2 | 13–22 | — | 54.8 |
21
GPT-5.2 Codex
|
111.8 chars/s | 646.4M 2 | 5–9 | 0.8 | 40.1 |
22
Gemini 3.1 Pro
|
182.2 chars/s | 611.0M 2 | 4 | 1.0 | 46.5 |
23
GPT-5.1 Codex Mini
|
263.8 chars/s | 555.0M 5 | 1 | 0.7 | 30.6 |
24
GPT-5.3 Codex
|
109.9 chars/s | 497.3M 6 | 5–9 | — | 44.3 |
25
DeepSeek V3.2
|
101.7 chars/s | 473.5M 4 | 1 | 0.2 | 24.7 |
26
Gemini 3 Pro
|
160.0 chars/s | 411.0M 7 | 4 | 1.0 | 39.6 |
27
GPT-5.6 Sol
|
342.4 chars/s | 350.4M 8 | 14–24 | 1.0 | 58.9 |
28
GPT-5.6 Terra
|
506.4 chars/s | 340.6M 9 | 6–11 | 1.0 | 55.0 |
29
Gemini 2.5 Flash
|
373.7 chars/s | 308.0M 7 | 1 | 0.3 | 14.1 |
30
GPT-4.1
|
182.3 chars/s | 253.1M 4 | 6 | — | 19.4 |
31
GLM 5.1
|
135.0 chars/s | 245.1M 8 | 1 | — | 40.2 |
32
Gemini 2.5 Pro
|
159.5 chars/s | 242.4M 2 | 4 | 0.7 | 25.8 |
33
MiniMax M2.7
|
194.6 chars/s | 181.8M 11 | 1 | — | 38.1 |
34
Claude Fable 5 Thinking
|
176.5 chars/s | 176.6M 11 | 34 | — | 59.9 |
35
Qwen 3.6 Plus
|
74.1 chars/s | 172.3M 11 | 1 | — | 39.6 |
36
Qwen 3.7 Max
|
133.6 chars/s | 169.3M 12 | 3 | — | 46.0 |
37
MiniMax M3
|
284.0 chars/s | 163.8M 12 | 1 | — | 44.4 |
38
GLM 5.2
|
249.2 chars/s | 141.1M 13 | 2 | — | 51.1 |
39
Kimi K2.5
|
95.4 chars/s | 141.0M 13 | 1 | — | 35.4 |
40
Claude 4.1 Opus
|
113.6 chars/s | 138.1M 13 | 50–60 | — | 33.7 |
41
Gemini 3.5 Flash
|
320.2 chars/s | 137.1M 13 | 4 | 1.0 | 50.2 |
42
GPT-4.1 mini
|
219.0 chars/s | 123.9M 10 | 1 | — | 14.8 |
43
Qwen 3.6 Flash
|
271.9 chars/s | 121.2M 12 | 1 | — | — |
44
GLM 5
|
186.2 chars/s | 120.2M 12 | 1 | — | 39.5 |
45
Claude 3.5 Haiku
|
202.9 chars/s | 117.3M 28 | 1 | — | 12.3 |
46
Qwen 3.7 Flash
|
482.0 chars/s | 98.7M 13 | 1 | — | — |
47
GPT-5.1 Codex Max
|
196.7 chars/s | 98.6M 13 | 4–5 | — | — |
48
Kimi K2.7 Code
|
181.3 chars/s | 90.3M 13 | 1 | — | 41.9 |
49
GLM 5 Turbo
|
164.2 chars/s | 86.2M 13 | 1 | — | 38.1 |
50
Grok-4.1 Fast
|
165.2 chars/s | 80.1M 13 | 1 | — | 16.9 |
51
Claude Opus 5
|
252.3 chars/s | 79.9M 13 | 15–17 | — | 60.7 |
52
Grok-4 Fast
|
373.5 chars/s | 76.7M 13 | 1 | 0.4 | 16.5 |
53
Kimi K2.6
|
62.5 chars/s | 71.5M 14 | 1 | — | 44.2 |
54
MiMo V2.5 Pro
|
193.8 chars/s | 68.2M 14 | 1 | — | 42.2 |
55
Qwen 3.5 Flash
|
346.2 chars/s | 68.0M 14 | 1 | — | — |
56
Hy3
|
147.0 chars/s | 66.8M 15 | 1 | — | 41.2 |
57
Qwen 3.5 Plus
|
178.5 chars/s | 63.5M 15 | 1 | — | — |
58
GLM 5V Turbo
|
224.3 chars/s | 56.1M 16 | 1 | — | 34.5 |
59
Gemini 3.6 Flash
|
543.8 chars/s | 53.9M 16 | 4 | — | 50.1 |
60
MiniMax M2.5
|
142.6 chars/s | 39.5M 21 | 1 | — | 33.7 |
61
Grok Build 0.1
|
315.8 chars/s | 39.2M 21 | 1 | — | — |
62
DeepSeek V3.2 Thinking
|
51.2 chars/s | 28.3M 8 | 1 | — | — |
63
OpenAI o3
|
113.5 chars/s | 25.4M 21 | 4–5 | — | 30.4 |
|
64
|
179.4 chars/s | 25.3M 20 | 0 | — | — |
65
Qwen3 235B A22B
|
164.6 chars/s | 23.1M 20 | 1 | — | — |
66
Gemini 2.0 Flash
|
531.3 chars/s | 21.6M 28 | 1 | — | 12.3 |
67
MiMo V2 Pro
|
302.5 chars/s | 18.6M 21 | 1 | — | 40.3 |
68
Kimi K3
|
69.6 chars/s | 17.3M 21 | 7 | — | 57.1 |
69
Qwen 3.6 Max Preview
|
50.5 chars/s | 16.8M 21 | 4 | — | 40.0 |
70
Qwen 3.7 Plus
|
258.4 chars/s | 16.0M 23 | 1 | — | 39.0 |
71
Claude 3.7 Sonnet
|
165.0 chars/s | 15.9M 44 | 6–7 | — | 23.5 |
72
Grok-4
|
122.6 chars/s | 13.8M 19 | 5 | — | 33.3 |
73
Grok-4.20 Beta
|
627.6 chars/s | 13.6M 22 | 4 | — | — |
74
GLM 4.6
|
159.0 chars/s | 13.0M 22 | 1 | — | 23.0 |
75
GPT-5 Pro
|
35.0 chars/s | 12.9M 22 | 70 | — | — |
|
76
|
557.1 chars/s | 8.6M 22 | 0 | — | — |
|
77
|
73.7 chars/s | 7.9M 24 | 0 | — | 25.7 |
78
Mistral Medium 3
|
261.5 chars/s | 7.6M 21 | 1 | — | 12.5 |
79
Codestral (2508)
|
456.0 chars/s | 7.4M 24 | 1 | — | — |
80
GLM 4.7
|
92.0 chars/s | 7.3M 24 | 1 | — | 33.7 |
|
81
|
312.1 chars/s | 5.9M 25 | 0 | — | — |
82
Mistral Medium 3.5
|
374.6 chars/s | 5.6M 25 | 2 | — | 29.9 |
83
GPT-5.2 Codex
|
225.7 chars/s | 5.2M 25 | 8 | — | 40.1 |
84
Llama 4 Maverick
|
242.8 chars/s | 4.2M 1 | 1 | — | 14.3 |
85
Qwen 3.8 Max
|
92.9 chars/s | 3.7M 26 | 3 | — | 53.4 |
86
Grok 4.5
|
317.4 chars/s | 3.2M 27 | 4 | — | 53.8 |
87
Kimi K2 Thinking
|
138.5 chars/s | 3.0M 29 | 1 | — | 32.7 |
88
Grok-4.20
|
700.7 chars/s | 2.8M 29 | 4 | — | 37.0 |
89
Qwen3 Coder
|
309.9 chars/s | 2.3M 23 | 2 | — | — |
90
Kimi K2 (0905)
|
184.7 chars/s | 1.6M 29 | 1 | — | 23.5 |
91
Grok-3 Mini (Beta)
|
271.2 chars/s | 1.5M 9 | 1 | — | — |
92
Grok-4.3
|
349.3 chars/s | 1.4M 28 | 3 | — | 37.6 |
93
Mistral Large 3
|
253.3 chars/s | 823.1K 28 | 1 | — | 15.9 |
94
OpenAI o4-mini
|
178.5 chars/s | 585.9K 51 | 2 | — | 25.6 |
95
Claude 4 Opus
|
82.4 chars/s | 389.5K 19 | 50–60 | — | 31.0 |
96
Llama 3.1 405B
|
100.2 chars/s | 247.1K 19 | 2 | — | — |
97
GPT-4o Mini
|
16.6 chars/s | 184.9K 68 | 1 | — | 6.9 |
98
GPT-4o
|
68.1 chars/s | 127.0K 67 | 2 | — | 9.6 |
99
GPT-3.5 Turbo
|
85.0 chars/s | 10.2K 58 | 1 | — | 3.6 |
100
Muse Spark 1.2
|
472.1 chars/s | 7.5K 22 | 1 | — | 54.1 |
101
Llama 3.3 70B
|
136.6 chars/s | 1.5K 21 | 1 | — | — |
102
DeepSeek R1
|
273.3 chars/s | 1.4K 3 | 1 | — | 20.1 |
103
DeepSeek V3
|
204.1 chars/s | 1.1K 12 | 1 | — | 14.2 |
104
Claude 3.5 Sonnet
|
167.6 chars/s | 319 79 | 2 | — | 9.9 |
105
Grok-3 (Beta)
|
99.0 chars/s | 142 5 | 3 | — | — |
106
GPT-4 Turbo
|
43.7 chars/s | 62 33 | 10 | — | 7.9 |
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.