GPT-5.5
OpenAI
- Context
- 1.1M
- Input /1M
- $5.00
- Output /1M
- $30.00
LLM API cost calculator for teams
Compare what your team would spend across OpenAI, Anthropic, Google Gemini, OpenRouter, Kimi, DeepSeek, Qwen, MiniMax, GLM, xAI (Grok), Meta (Muse Spark), Krea, Kling, and Runway — using each provider's published API prices.
Pricing snapshot:
How to use this tool
- Choose the response length your team usually needs.
- Enter your team size and average daily chats per person.
- Add any typical image or PDF uploads.
- Choose the billing period you want to budget for.
- Select one or more models to compare their estimated costs.
Worked example: Example: five people sending 15 medium chats each workday for a month can be compared across any selected provider models in one view.
GPT-5.5 Pro
OpenAI
- Context
- 1.1M
- Input /1M
- $30.00
- Output /1M
- $180.00
GPT-5.4
OpenAI
- Context
- 1.1M
- Input /1M
- $2.50
- Output /1M
- $15.00
GPT-5.4 mini
OpenAI
- Context
- 400k
- Input /1M
- $0.75
- Output /1M
- $4.50
GPT-5.4 nano
OpenAI
- Context
- 400k
- Input /1M
- $0.20
- Output /1M
- $1.25
GPT-5.1
OpenAI
- Context
- 400k
- Input /1M
- $1.25
- Output /1M
- $10.00
Claude Opus 4.7
Anthropic
- Context
- 1M
- Input /1M
- $5.00
- Output /1M
- $25.00
Claude Sonnet 4.6
Anthropic
- Context
- 1M
- Input /1M
- $3.00
- Output /1M
- $15.00
Claude Opus 4.6
Anthropic
- Context
- 1M
- Input /1M
- $5.00
- Output /1M
- $25.00
Gemini 3.1 Pro Preview
Google Gemini
- Context
- 1M
- Input /1M
- $2.00
- Output /1M
- $12.00
Base rate through 200k input tokens; longer prompts use Google's higher context tier.
Gemini 3.1 Flash-Lite
Google Gemini
- Context
- 1M
- Input /1M
- $0.25
- Output /1M
- $1.50
DeepSeek V4 Pro (OpenRouter)
OpenRouter
- Context
- 1M
- Input /1M
- $0.44
- Output /1M
- $0.87
Qwen3.6 Plus (OpenRouter)
OpenRouter
- Context
- 1M
- Input /1M
- $0.33
- Output /1M
- $1.95
GLM-5.1 (OpenRouter)
OpenRouter
- Context
- 203k
- Input /1M
- $0.97
- Output /1M
- $3.04
MiMo-V2.5 (OpenRouter)
OpenRouter
- Context
- 1M
- Input /1M
- $0.11
- Output /1M
- $0.28
Kimi K2.7 Code
Kimi
- Context
- 262k
- Input /1M
- $0.95
- Output /1M
- $4.00
Kimi K2.7 Code Highspeed
Kimi
- Context
- 262k
- Input /1M
- $1.90
- Output /1M
- $8.00
Kimi K2.6
Kimi
- Context
- 262k
- Input /1M
- $0.95
- Output /1M
- $4.00
DeepSeek V4 Flash
DeepSeek
- Context
- 1M
- Input /1M
- $0.14
- Output /1M
- $0.28
DeepSeek V4 Pro
DeepSeek
- Context
- 1M
- Input /1M
- $0.44
- Output /1M
- $0.87
Qwen3.6 Plus
Qwen
- Context
- 1M
- Input /1M
- $0.50
- Output /1M
- $3.00
International deployment base tier through 256k input tokens; longer prompts use Alibaba's $2 / $6 tier.
MiniMax M3
MiniMax
- Context
- 1M
- Input /1M
- $0.30
- Output /1M
- $1.20
Base rate through 512k input tokens; longer prompts use MiniMax's higher tier.
MiniMax M2.7
MiniMax
- Context
- 200k
- Input /1M
- $0.30
- Output /1M
- $1.20
MiniMax M2.5
MiniMax
- Context
- 200k
- Input /1M
- $0.30
- Output /1M
- $1.20
GLM-5.1
GLM
- Context
- 203k
- Input /1M
- $1.40
- Output /1M
- $4.40
GLM-4.6
GLM
- Context
- 200k
- Input /1M
- $0.60
- Output /1M
- $2.20
GLM-4.5 Air
GLM
- Context
- 128k
- Input /1M
- $0.20
- Output /1M
- $1.10
Grok 4.5
xAI (Grok)
- Context
- 500k
- Input /1M
- $2.00
- Output /1M
- $6.00
Base rate through 200k input tokens; longer prompts use xAI's $4 / $12 tier.
Grok 4.3
xAI (Grok)
- Context
- 1M
- Input /1M
- $1.25
- Output /1M
- $2.50
Base rate through 200k input tokens; longer prompts use xAI's $2.50 / $5 tier.
Muse Spark 1.1
Meta (Muse Spark)
- Context
- 1M
- Input /1M
- $1.25
- Output /1M
- $4.25
Public preview: US-only and waitlist-gated at the time of this snapshot.
Krea 2 Medium
Krea
- Context
- 0k
- Input /1M
- $0.00
- Output /1M
- $0.00
Image generation only. From $0.03 per image (Medium); Large $0.06, Medium Turbo $0.015. Not token-metered.
Kling v3 Standard
Kling
- Context
- 0k
- Input /1M
- $0.00
- Output /1M
- $0.00
Video generation only. From ~$0.084 per second. Not token-metered.
Runway Gen 4.5
Runway
- Context
- 0k
- Input /1M
- $0.00
- Output /1M
- $0.00
Video generation only. $0.12 per second (12 credits × $0.01). Not token-metered.
How this estimate works
We assume conversations split roughly 40% input / 60% output tokens. Response length sets output tokens per chat (300 / 800 / 1,600 / 3,200), each image adds ~1,100 input tokens, and each PDF adds ~3,000. Selecting several models splits usage evenly across them. Real bills vary with prompt caching, batching, and provider billing rules — use this for budgeting, not invoicing.
Want a practical cost-control framework? Read our guide to cutting LLM costs with a model-agnostic AI workspace.
Pricing sources and assumptions
Rates were checked against first-party provider documentation on . Cards show standard or base per-token rates; regional, long-context, batch, cache, and provider routing tiers can change the final bill.