LLM Cost Calculator

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

Model
Claude Sonnet 4.6
Anthropic
Monthly tokens
380M
300M in / 80M out
Estimated monthly cost
$2,100

Cost Comparison: All Cloud Models

Based on 300M input + 80M output tokens/month

ModelProviderMonthly cost
Llama 3.1 8B (Groq)Groq$21.40
Qwen3.5-FlashQwen (Alibaba)$30.80
Doubao Seed 2.0 MiniDoubao (ByteDance)$32.20
GLM-4.7 FlashZhipu AI (GLM)$50.00
Doubao Pro 32KDoubao (ByteDance)$55.40
Hunyuan TurboSHunyuan (Tencent)$55.40
Llama 4 Scout (Groq)Groq$60.20
GPT-4.1 NanoOpenAI$62.00
Gemini 2.5 Flash-LiteGoogle$62.00
Qwen3.5-PlusQwen (Alibaba)$86.60
Hunyuan T1Hunyuan (Tencent)$86.80
GPT-OSS 120B (Groq)Groq$93.00
Qwen3 32B (Groq)Groq$134
DeepSeek V3DeepSeek$169
DeepSeek V3 (Mar 2025)DeepSeek$169
Gemini 3.1 Flash-LiteGoogle$195
Qwen3-MaxQwen (Alibaba)$217
GPT-5 MiniOpenAI$235
Llama 3.3 70B (Groq)Groq$240
GPT-4.1 MiniOpenAI$248
Gemini 2.5 FlashGoogle$290
Doubao Seed 2.0 ProDoubao (ByteDance)$331
Llama 3.3 70B (Together)Together AI$334
DeepSeek R1DeepSeek$340
Kimi K2.5 (Together)Together AI$374
Kimi K2Kimi (Moonshot AI)$380
Qwen3.5 397B (Together)Together AI$468
GLM-5Zhipu AI (GLM)$556
Kimi K2.6Kimi (Moonshot AI)$620
GLM-5-TurboZhipu AI (GLM)$680
o4-miniOpenAI$682
Claude Haiku 4.5Anthropic$700
DeepSeek V4 ProDeepSeek$800
DeepSeek V4 Pro (Together)Together AI$982
Moonshot V1 (128K)Kimi (Moonshot AI)$1,000
Gemini 3.5 FlashGoogle$1,170
GPT-5OpenAI$1,175
Gemini 2.5 ProGoogle$1,175
GPT-4.1OpenAI$1,240
o3OpenAI$1,240
GPT-4oOpenAI$1,550
Gemini 3.1 Pro PreviewGoogle$1,560
Claude Sonnet 4.6★ recommendedAnthropic$2,100
Claude Sonnet 4.5Anthropic$2,100
Claude Opus 4.7Anthropic$3,500
Claude Opus 4.6Anthropic$3,500
Claude Opus 4.1Anthropic$10,500

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 4.7 consistently lead coding benchmarks and are popular in tools like Cursor. GPT-4.1 is also excellent. For budget-conscious teams, GPT-4.1 Mini handles autocomplete well at $0.40/1M 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.