AI Code Assistant Monthly Cost Estimator
Running an AI coding assistant for your dev team? Estimate API costs for code completion, review, and generation workloads.
Recommended Setup
Cost Comparison: All Cloud Models
Based on 300M input + 80M output tokens/month
| Model | Provider | Monthly cost |
|---|---|---|
| Llama 3.1 8B (Groq) | Groq | $21.40 |
| gpt-oss-120b | OpenAI | $25.60 |
| Doubao Seed 2.0 Mini | Doubao (ByteDance) | $32.20 |
| GPT-5 Nano | OpenAI | $47.00 |
| Gemma 4 26B A4B | $48.20 | |
| GLM-4.7 Flash | Zhipu AI (GLM) | $50.00 |
| Doubao Pro 32K | Doubao (ByteDance) | $55.40 |
| Hunyuan TurboS | Hunyuan (Tencent) | $55.40 |
| Gemma 4 31B | $57.20 | |
| Llama 4 Scout (Groq) | Groq | $60.20 |
| GPT-4.1 Nano | OpenAI | $62.00 |
| Gemini 2.5 Flash-Lite | $62.00 | |
| DeepSeek V4 Flash | DeepSeek | $64.40 |
| Qwen3.5-Flash | Qwen (Alibaba) | $72.00 |
| Hunyuan T1 | Hunyuan (Tencent) | $86.80 |
| GPT-4o-mini | OpenAI | $93.00 |
| GPT-OSS 120B (Groq) | Groq | $93.00 |
| Qwen3 Coder Next | Qwen (Alibaba) | $100 |
| DeepSeek V3.2 | DeepSeek | $113 |
| Qwen3 32B (Groq) | Groq | $134 |
| Qwen3.5-Plus | Qwen (Alibaba) | $140 |
| Qwen3.6 Flash | Qwen (Alibaba) | $147 |
| GPT-5.6 Luna | OpenAI | $156 |
| GPT-5.4 Nano | OpenAI | $160 |
| DeepSeek V3 | DeepSeek | $160 |
| DeepSeek V3 (Mar 2025) | DeepSeek | $169 |
| Qwen3 Coder 480B A35B | Qwen (Alibaba) | $170 |
| Gemini 3.1 Flash-Lite | $195 | |
| Qwen3.7 Plus | Qwen (Alibaba) | $198 |
| DeepSeek V4 Pro | DeepSeek | $202 |
| GPT-5 Mini | OpenAI | $235 |
| Llama 3.3 70B (Groq) | Groq | $240 |
| GPT-4.1 Mini | OpenAI | $248 |
| Qwen3.6 Plus | Qwen (Alibaba) | $255 |
| Qwen3-Max | Qwen (Alibaba) | $281 |
| Gemini 2.5 Flash | $290 | |
| Gemini 3.5 Flash Lite | $290 | |
| R1 0528 | DeepSeek | $322 |
| Doubao Seed 2.0 Pro | Doubao (ByteDance) | $331 |
| Llama 3.3 70B (Together) | Together AI | $334 |
| Kimi K2 | Kimi (Moonshot AI) | $355 |
| Kimi K2.5 (Together) | Together AI | $374 |
| DeepSeek R1 | DeepSeek | $410 |
| Qwen3 Coder Plus | Qwen (Alibaba) | $455 |
| Qwen3.5 397B (Together) | Together AI | $468 |
| Qwen3 Max Thinking | Qwen (Alibaba) | $546 |
| GLM-5 | Zhipu AI (GLM) | $556 |
| GPT-5.4 Mini | OpenAI | $585 |
| Kimi K2.7 Code | Kimi (Moonshot AI) | $605 |
| Kimi K2.6 | Kimi (Moonshot AI) | $605 |
| Kimi K2.5 | Kimi (Moonshot AI) | $605 |
| GLM-5-Turbo | Zhipu AI (GLM) | $680 |
| o4-mini | OpenAI | $682 |
| o3 Mini | OpenAI | $682 |
| Claude Haiku 4.5 | Anthropic | $700 |
| GLM-5.1 | Zhipu AI (GLM) | $772 |
| Qwen3.7 Max | Qwen (Alibaba) | $798 |
| DeepSeek V4 Pro (Together) | Together AI | $982 |
| Moonshot V1 (128K) | Kimi (Moonshot AI) | $1,000 |
| Gemini 3.6 Flash | $1,050 | |
| Gemini 3.5 Flash | $1,170 | |
| GPT-5 | OpenAI | $1,175 |
| GPT-5 Codex | OpenAI | $1,175 |
| Gemini 2.5 Pro | $1,175 | |
| Kimi K2.7 Code HighSpeed | Kimi (Moonshot AI) | $1,210 |
| GPT-4.1 | OpenAI | $1,240 |
| o3 | OpenAI | $1,240 |
| o4 Mini Deep Research | OpenAI | $1,240 |
| GPT-4o | OpenAI | $1,550 |
| GPT-5.6 Terra | OpenAI | $1,560 |
| Gemini 3.1 Pro Preview | $1,560 | |
| GPT-5.4 | OpenAI | $1,950 |
| Claude Sonnet 4.6★ recommended | Anthropic | $2,100 |
| Claude Sonnet 4.5 | Anthropic | $2,100 |
| Claude Sonnet 4 | Anthropic | $2,100 |
| Kimi K3 | Kimi (Moonshot AI) | $2,100 |
| Claude Opus 4.7 | Anthropic | $3,500 |
| Claude Opus 4.6 | Anthropic | $3,500 |
| Claude Opus 4.8 | Anthropic | $3,500 |
| GPT-5.6 Sol | OpenAI | $3,900 |
| GPT-5.5 | OpenAI | $3,900 |
| GLM-5.2 | Zhipu AI (GLM) | $4,640 |
| o3 Deep Research | OpenAI | $6,200 |
| Claude Opus 4.8 (Fast) | Anthropic | $7,000 |
| o1 | OpenAI | $9,300 |
| Claude Opus 4.1 | Anthropic | $10,500 |
| o3 Pro | OpenAI | $12,400 |
| GPT-5 Pro | OpenAI | $14,100 |
| GPT-5.5 Pro | OpenAI | $23,400 |
| GPT-5.4 Pro | OpenAI | $23,400 |
| o1-pro | OpenAI | $93,000 |
Frequently Asked Questions
How many tokens does a code completion request use?
Code completion requests typically send 1,000–8,000 input tokens (surrounding code context) and receive 50–500 output tokens. A team of 10 engineers making 200 completions/day could use 60–150M tokens/month.
Which model is best for AI code assistance?
Claude Sonnet 4.6 and Claude Opus 4.8 consistently lead coding benchmarks and are popular in tools like Cursor. GPT-5.4 is also excellent. For budget-conscious teams, GPT-5.4 Mini handles autocomplete well at $0.75/1M input.
Can I run a code assistant on a local GPU?
Yes. Models like CodeLlama 34B or Llama 3 70B (quantized) are suitable for code assistance. An A100 80G handles Llama 3 70B comfortably. For a team of 5-10 developers, a single A100 may be cost-effective vs cloud APIs.