Model Statistics
Time Period
Weekly Token Usage by Model
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Below is a list of AI models available on CodingFleet, along with statistics & benchmarks for the selected time period. The statistics are based on actual usage by CodingFleet users.
Legacy models are shown in the list but are grayed out and disabled. These models are no longer available.
The cost of the model is the number of credits required to use the model in a single request. For Unlimited and Elite users, the usage for 1-cost models is unlimited, while others are limited as shown in the pricing page.
| Model | Avg Speed (chars/s) The average speed of the model in characters per second, across all users utilizing this model. | N° Tokens The total number of tokens in both the prompt and the completion combined, across all users utilizing this model. | Cost The credit cost of utilizing this model in a request. Models with a cost of 2 or higher are considered premium models. | Vote Score The average vote score given to this model by CodingFleet users, where -1 is the lowest score and 1 is the highest. This is displayed only if there are 10 or more votes for the model. | LiveBench Coding The average LiveBench coding score (livebench.ai) | LiveBench Avg The average LiveBench average score (livebench.ai) | WebDev Arena WebDev Arena is an open-source benchmark evaluating AI capabilities in web development (https://web.lmarena.ai/leaderboard) |
|---|---|---|---|---|---|---|---|
Claude Sonnet 4.5 Thinking
|
151.4 | 3.7B 0 | 8 | 0.6 | 80.4 | 78.3 | 1397.0 |
|
Claude Opus 4.5 Thinking
|
176.7 | 1.9B 0 | 17 | - | 79.7 | 79.8 | 1518.0 |
GPT-5.2 Thinking High
|
99.1 | 1.9B 0 | 6 | 0.5 | 76.1 | 73.6 | 1485.0 |
|
GPT-5 Mini
|
147.5 | 1.8B 0 | 1 | 0.5 | - | - | - |
|
Claude Opus 4.6 Thinking
|
145.7 | 1.4B 0 | 18 | - | 78.2 | 76.3 | 1503.0 |
|
Claude 4 Sonnet Thinking
|
149.0 | 1.2B 0 | 7 | 0.7 | 73.6 | 72.1 | 1381.8 |
|
Claude Haiku 4.5 Thinking
|
249.7 | 1.1B 0 | 1 | 1.0 | 72.8 | 71.4 | - |
|
Claude Haiku 4.5
|
381.6 | 996.9M 0 | 1 | 0.6 | - | - | - |
|
Claude Sonnet 4.5
|
190.3 | 896.0M 0 | 7 | 0.2 | - | - | - |
|
GPT-5 Thinking High
|
71.2 | 872.3M 0 | 5 | 1.0 | 75.3 | 78.6 | 1480.5 |
DeepSeek V3.2
|
86.1 | 620.4M 1 | 1 | 0.4 | 68.5 | 62.6 | - |
|
Claude 4 Sonnet
|
193.2 | 575.7M 2 | 6 | 0.8 | 77.5 | 69.7 | 1381.8 |
|
GPT-4.1
|
231.7 | 549.2M 2 | 6 | 0.8 | 73.2 | 63.0 | 1256.5 |
|
GPT-5 Thinking
|
90.9 | 517.5M 2 | 5 | - | 73.3 | 76.5 | - |
|
GPT-5.2 Codex High
|
104.6 | 506.3M 3 | 7 | - | 83.6 | 74.3 | - |
|
Claude 3.5 Haiku
|
203.9 | 434.4M 5 | 1 | -0.1 | 53.2 | 45.0 | 1133.8 |
Gemini 3 Flash
|
278.8 | 434.1M 3 | 1 | 0.6 | 73.9 | 73.6 | 1465.0 |
|
Claude Sonnet 4.6 Thinking
|
158.1 | 429.6M 3 | 8 | 1.0 | 80.0 | 75.3 | - |
|
GPT-4.1 mini
|
215.9 | 411.6M 3 | 1 | 0.1 | 72.1 | 59.1 | 1194.4 |
|
Gemini 3 Pro
|
161.7 | 411.1M 3 | 4 | 1.0 | 74.6 | 79.7 | 1481.0 |
|
GPT-5.2
|
197.0 | 372.2M 3 | 4 | 0.3 | - | - | - |
|
GPT-5.1 Thinking High
|
141.4 | 367.9M 3 | 5 | - | 72.5 | 72.5 | 1395.0 |
|
Gemini 2.5 Pro
|
180.7 | 356.5M 3 | 4 | 0.7 | 72.9 | 79.0 | 1409.1 |
|
Gemini 2.5 Flash
|
357.7 | 341.3M 3 | 1 | 0.3 | 60.3 | 69.9 | 1304.9 |
|
Claude 3.7 Sonnet
|
221.5 | 323.1M 3 | 6 | 0.5 | 74.3 | 58.5 | 1356.7 |
|
GPT-5 Mini High
|
78.0 | 284.2M 4 | 2 | 1.0 | 66.4 | 72.2 | - |
|
GPT-5.2 Thinking xHigh
|
60.8 | 269.1M 4 | 8 | - | - | - | - |
|
GPT-5.2 Thinking
|
144.8 | 261.8M 4 | 5 | - | - | - | - |
|
GPT-5.1 Thinking
|
168.3 | 243.4M 4 | 5 | 1.0 | - | - | 1395.0 |
|
Claude 3.7 Sonnet Thinking
|
162.5 | 228.3M 5 | 7 | - | 73.2 | 67.4 | 1356.7 |
|
GPT-5.1 Codex Mini
|
223.9 | 226.4M 5 | 1 | - | 71.8 | 69.8 | 1248.0 |
|
GPT-5
|
201.0 | 186.5M 6 | 3 | 1.0 | 72.5 | 75.3 | - |
|
Gemini 2.0 Flash
|
566.0 | 172.3M 4 | 1 | 0.1 | - | - | - |
|
OpenAI o4-mini
|
185.2 | 137.8M 6 | 2 | -0.1 | - | - | 1095.1 |
|
Claude 4.1 Opus Thinking
|
112.5 | 122.4M 6 | 60 | - | 74.0 | 73.5 | 1476.5 |
|
OpenAI o3
|
145.5 | 107.6M 8 | 4 | 1.0 | 77.9 | 72.0 | 1188.1 |
|
OpenAI o3-high
|
103.0 | 106.6M 8 | 5 | 1.0 | 76.7 | 74.6 | 1188.3 |
|
GPT-5.2 Codex
|
178.4 | 81.9M 9 | 5 | - | 83.6 | 74.3 | - |
|
Gemini 3.1 Pro
|
190.1 | 78.4M 9 | 4 | - | 76.5 | 79.9 | 1500.0 |
|
GPT-4o
|
279.9 | 77.3M 21 | 5 | - | 69.3 | 54.0 | 964.0 |
|
GPT-5.1 Codex Max High
|
183.8 | 72.6M 9 | 5 | - | 81.4 | 75.2 | - |
Grok-4 Fast
|
370.5 | 72.6M 9 | 1 | - | - | - | - |
|
OpenAI o4-mini-high
|
123.0 | 67.0M 10 | 2 | 0.5 | - | - | - |
Mistral Large 3
|
134.2 | 65.2M 8 | 1 | 1.0 | 62.9 | 50.3 | - |
|
GPT-5.1
|
263.0 | 63.7M 10 | 3 | - | - | - | - |
|
GPT-5.3 Codex xHigh
|
102.4 | 61.2M 10 | 9 | - | - | - | - |
|
GPT-4o Mini
|
248.0 | 57.0M 30 | 1 | -0.1 | 43.2 | 41.3 | - |
|
GPT-5.2 Codex xHigh
|
95.6 | 55.9M 11 | 9 | - | 83.6 | 74.3 | - |
|
DeepSeek V3.2 Thinking
|
40.4 | 55.2M 5 | 1 | - | 64.6 | 66.6 | - |
|
GPT-5.1 Codex Mini High
|
214.9 | 46.8M 10 | 1 | - | 71.8 | 69.8 | 1248.0 |
|
OpenAI o3-mini
|
257.1 | 42.0M 6 | 2 | - | 58.4 | 67.2 | 1091.7 |
|
OpenAI o3-mini-high
|
180.8 | 40.7M 6 | 2 | - | 65.5 | 71.4 | 1136.2 |
Kimi K2.5
|
107.0 | 36.1M 12 | 1 | - | 77.9 | 69.1 | - |
|
GPT-5.3 Codex
|
167.7 | 35.5M 12 | 5 | - | - | - | - |
|
Grok-4.1 Fast
|
159.0 | 35.5M 12 | 1 | - | - | - | - |
|
Claude 4 Opus Thinking
|
125.9 | 35.2M 12 | 60 | - | 73.3 | 72.9 | 1405.5 |
|
Claude Opus 4.5
|
175.4 | 33.6M 12 | 15 | - | 77.5 | 76.0 | 1484.0 |
Llama 4 Maverick
|
315.6 | 29.6M 12 | 1 | - | 54.2 | 55.2 | 998.5 |
|
Claude Sonnet 4.6
|
184.8 | 28.8M 12 | 7 | - | - | - | - |
MiniMax M2.5
|
150.0 | 27.8M 12 | 1 | - | 70.7 | 60.1 | - |
|
Gemini 2.0 Pro (Exp)
|
327.0 | 26.4M 0 | 2 | - | 35.3 | 61.6 | 1088.6 |
Qwen3 235B A22B
|
159.8 | 23.6M 11 | 1 | - | 66.4 | 64.9 | - |
|
GPT-5.1 Codex Max
|
222.8 | 22.9M 11 | 4 | - | 81.4 | 75.2 | - |
|
Llama 3.3 70B
|
535.7 | 18.4M 0 | 1 | - | 24.1 | 45.7 | - |
|
Grok-4
|
129.1 | 16.4M 13 | 5 | - | 71.3 | 72.1 | - |
|
Claude 4.1 Opus
|
131.2 | 15.9M 14 | 50 | - | - | - | - |
|
Codestral (2508)
|
845.8 | 14.3M 9 | 1 | - | - | - | - |
|
Qwen 3.5 Plus
|
219.0 | 13.6M 15 | 1 | - | - | - | - |
|
Claude 4 Opus
|
140.3 | 13.6M 13 | 50 | - | 72.9 | 71.5 | 1405.5 |
GLM 4.6
|
159.0 | 13.0M 14 | 1 | - | - | - | - |
|
GPT-5 Pro
|
35.0 | 12.9M 14 | 70 | - | 72.1 | 78.7 | - |
|
Llama 3.1 405B
|
87.9 | 9.9M 10 | 2 | - | 42.7 | 52.4 | 813.7 |
|
Claude 3.5 Sonnet
|
201.5 | 9.6M 60 | 6 | - | 32.3 | 50.8 | 1239.3 |
|
Grok-3 Mini (Beta)
|
276.5 | 8.0M 12 | 1 | - | 54.5 | 70.3 | - |
|
Claude Opus 4.6
|
147.7 | 7.8M 12 | 16 | - | 78.2 | 76.3 | 1504.0 |
|
GLM 4.7
|
91.8 | 7.2M 13 | 1 | - | 73.1 | 58.1 | - |
|
Mistral Medium 3
|
261.2 | 6.7M 13 | 1 | - | 61.5 | 56.6 | 1160.1 |
|
GLM 5
|
119.5 | 6.6M 14 | 1 | - | 73.6 | 68.9 | 1456.0 |
|
GPT-5.2 Codex
|
225.7 | 5.2M 14 | 8 | - | - | - | - |
|
Grok-3 (Beta)
|
256.6 | 4.4M 15 | 3 | - | 73.6 | 63.2 | - |
|
Qwen3 Coder
|
291.2 | 3.3M 15 | 2 | - | 73.2 | 60.5 | - |
|
Gemini 2.0 Flash Thinking
|
417.1 | 3.0M 15 | 1 | - | 35.7 | 62.1 | 1030.1 |
|
Kimi K2 Thinking
|
138.5 | 3.0M 16 | 1 | - | - | - | - |
|
GPT-5.3 Codex High
|
132.4 | 2.4M 17 | 7 | - | - | - | - |
|
Kimi K2 (0905)
|
182.5 | 1.6M 17 | 1 | - | 71.8 | 62.7 | - |
|
Qwen2.5-Coder 32B
|
287.8 | 951.9K 8 | 1 | - | 56.9 | 46.2 | 904.1 |
|
Grok-2
|
214.6 | 361.6K 13 | 2 | - | 26.1 | 48.1 | - |
|
Llama 3.2 90B
|
169.8 | 222.0K 11 | 1 | - | - | - | - |
|
Qwen 3.5 Flash
|
227.3 | 9.7K 14 | 1 | - | - | - | - |
|
GPT-4 Turbo
|
81.5 | 8.1K 32 | 10 | - | - | - | - |
|
Claude 3 Haiku
|
441.5 | 5.0K 57 | 1 | - | - | - | - |
|
DeepSeek R1
|
273.3 | 1.4K 1 | 2 | - | - | - | - |
|
DeepSeek V3
|
204.1 | 1.1K 5 | 1 | - | - | - | - |
|
GPT-3.5 Turbo
|
85.0 | 58 57 | 1 | - | - | - | - |
|
Llama 3.1 70B
|
0.0 | 0 20 | 1 | - | 33.5 | 44.9 | - |
|
GPT-4
|
0.0 | 0 54 | 3 | - | - | - | - |
|
Gemini 1.5 Pro
|
0.0 | 0 54 | 2 | - | - | - | - |
|
Gemini 1.5 Flash
|
0.0 | 0 59 | 1 | - | - | - | - |
|
OpenAI o1 Preview
|
0.0 | 0 20 | 3 | - | - | - | - |
|
OpenAI o1 Mini
|
0.0 | 0 51 | 2 | - | 48.1 | 57.8 | 1053.7 |
|
OpenAI o1
|
0.0 | 0 20 | 18 | - | - | - | 1045.2 |
|
Claude 3 Sonnet
|
0.0 | 0 39 | 2 | - | - | - | - |
|
Claude 3 Opus
|
0.0 | 0 15 | 3 | - | - | - | - |