llm-prices

# llm-prices <!-- mcp-name: io.github.benbencodes/llm-prices --> [](https://pypi.org/project/llm-prices/) [](https://www.python.org/downloads/) [](https://opensource.org/licenses/MIT) [](https://github.com/benbencodes/llm-prices/actions/workflows/ci.yml) [](https://github.com/benbencodes/llm-prices) [](https://github.com/benbencodes/llm-prices) **[Website & Blog](https://benbencodes.github.io/llm-prices/)** · **[GitHub](https://github.com/benbencodes/llm-prices)** · **[Changelog](CHANGELOG.md)** A zero-dependency Python CLI and library for looking up and comparing LLM API costs across all major providers. ``` $ llm-prices top 10 --in 10000 --out 2000 Top 10 cheapest: 10,000 input / 2,000 output tokens # Model Provider Input Output Total ------------------------------------------------------------------------------- 1 llama-3.1-8b-nb Nebius $0.000200 $0.000120 $0.000320 2 nova-micro-br Bedrock $0.000350 $0.000280 $0.000630 3 llama-3.1-8b Groq $0.000500 $0.000160 $0.000660 4 gemini-1.5-flash-8b Google $0.000375 $0.000300 $0.000675 5 command-r7b Cohere $0.000375 $0.000300 $0.000675 ... $ llm-prices compare gpt-4o claude-sonnet-4-6 gemini-2.5-flash gpt-5-nano --in 10000 --out 2000 Comparison: 10,000 input tokens, 2,000 output tokens Model Provider Input Output Total ------------------------------------------------------------------------ gpt-5-nano OpenAI $0.000500 $0.000800 $0.001300 gemini-2.5-flash Google $0.003000 $0.005000 $0.008000 (6.2x) gpt-4o OpenAI $0.0250 $0.0200 $0.0450 (34.6x) claude-sonnet-4-6 Anthropic $0.0300 $0.0300 $0.0600 (46.2x) Cheapest: gpt-5-nano at $0.001300 ``` Covers **277 models across 47 providers**: OpenAI, Anthropic, Google, Mistral, Groq, Cohere, DeepSeek, xAI, Together AI, Fireworks AI, Perplexity, Cerebras, SambaNova, Amazon Bedrock, AI21 Labs, DeepInfra, Lambda AI, Novita AI, Nebius AI, Moonshot AI (Kimi K2), Hyperbolic, Crusoe, Qwen/Alibaba Cloud, Microsoft Azure, Inflection AI, NVIDIA NIM, NousResearch, ZhipuAI, MiniMax, IBM, ByteDance, Baidu, Xiaomi, Z.AI, Tencent, Arcee AI, InclusionAI, StepFun, Reka, Morph, Perceptron. No API key required — pricing data is baked in and updated with each release. **Also available as an MCP server** — use llm-prices tools directly from Claude, Cursor, and other MCP-compatible AI assistants. --- ## Install **pipx (recommended — installs globally, no venv required):** ```bash pipx install git+https://github.com/benbencodes/llm-prices ``` **Homebrew (macOS/Linux):** ```bash brew tap benbencodes/tap brew install llm-prices ``` **pip (PyPI):** ```bash pip install llm-prices ``` **From source:** ```bash git clone https://github.com/benbencodes/llm-prices cd llm-prices pip install -e . ``` Requires Python 3.8+. No other dependencies. --- ## Usage ### List all models ```bash llm-prices list llm-prices list --provider Anthropic llm-prices list --search gemini --sort input llm-prices list --json | jq '.[].model' ``` **Export as Markdown table** (for READMEs, docs, PRs): ```bash llm-prices list --provider OpenAI --sort input --markdown ``` ```markdown | Model | Provider | Input/Mtok | Output/Mtok | Context | Notes | |--------------|----------|------------|-------------|----------|---------------------------| | gpt-4.1-nano | OpenAI | $0.1000 | $0.4000 | 1023k | Fastest, cheapest GPT-4.1 | | gpt-4o-mini | OpenAI | $0.1500 | $0.6000 | 128k | Small, fast, cheap | | gpt-4.1-mini | OpenAI | $0.4000 | $1.6000 | 1023k | 1M context, cost-efficient| | gpt-4o | OpenAI | $2.5000 | $10.0000 | 128k | Latest multimodal flagship| ... ``` **Export as CSV** (for spreadsheets, databases): ```bash llm-prices list --csv > llm_prices.csv ``` ### Calculate cost for a specific call ```bash # 10,000 input tokens, 2,000 output tokens on GPT-4o llm-prices calc gpt-4o --in 10000 --out 2000 # Model : gpt-4o (OpenAI) # Tokens : 10,000 in / 2,000 out # Rate : $2.5/Mtok in, $10.0/Mtok out # Cost : $0.0250 in + $0.0200 out = $0.0450 total ``` JSON output for scripting: ```bash llm-prices calc claude-sonnet-4-6 --in 5000 --out 1000 --json ``` ### Compare models side-by-side ```bash llm-prices compare gpt-4o claude-sonnet-4-6 gemini-2.5-pro qwen3-235b \ --in 5000 --out 1000 --markdown ``` ```markdown <!-- 5,000 input / 1,000 output tokens. Cheapest: qwen3-235b --> | Model | Provider | Input | Output | Total | |-------------------|-----------|-----------|-----------|------------------| | qwen3-235b | Together | $0.001000 | $0.000600 | $0.001600 | | gemini-2.5-pro | Google | $0.006250 | $0.0100 | $0.0163 (10.2x) | | gpt-4o | OpenAI | $0.0125 | $0.0100 | $0.0225 (14.1x) | | claude-sonnet-4-6 | Anthropic | $0.0150 | $0.0150 | $0.0300 (18.8x) | ``` ### Find the cheapest models for your workload ```bash # Top 5 cheapest for 5k input / 1k output tokens llm-prices top 5 --in 5000 --out 1000 ``` ``` Top 5 cheapest: 5,000 input / 1,000 output tokens # Model Provider Input Output Total ---------------------------------------------------------------------- 1 llama-3.1-8b Groq $0.000250 $0.000080 $0.000330 2 gemini-1.5-flash-8b Google $0.000188 $0.000150 $0.000338 3 command-r7b Cohere $0.000188 $0.000150 $0.000338 4 qwen3.5-9b Together $0.000500 $0.000150 $0.000650 5 gemini-1.5-flash Google $0.000375 $0.000300 $0.000675 ``` Filter to a single provider, or get a Markdown table: ```bash llm-prices top 3 --provider Anthropic --in 2000 --out 800 llm-prices top 10 --in 5000 --out 1000 --markdown ``` ### How many calls fit in a budget? ```bash # How many calls at 1k in / 500 out tokens fit in $1.00? llm-prices budget 1.00 --in 1000 --out 500 # Filter to just Anthropic models llm-prices budget 0.10 --provider Anthropic --in 5000 --out 2000 ``` ### What's new? Recently added models ```bash # Show models added in recent releases llm-prices new # Filter to a specific version llm-prices new --version v0.1.42 # Output as JSON llm-prices new --json ``` ``` Recently added models (v0.1.42, data: 2026-05-20) v0.1.42 — 10 models qwen3.6-flash Qwen $0.1875/$1.1250 1M Qwen3.6 Flash; 1M ctx; fast multimodal... deepseek-v4-pro DeepSeek $0.4350/$0.8700 1M DeepSeek V4 Pro; 1.6T-param MoE flagship... mistral-medium-3-5 Mistral $1.5000/$7.5000 262k Mistral Medium 3.5; dense 128B... perceptron-mk1 Perceptron $0.1500/$1.5000 32k Perceptron Mk1; video+embodied AI VLM... ... ``` ### Use as a Python library ```python from llm_prices import calculate_cost, MODELS result = calculate_cost("gpt-4o", input_tokens=10_000, output_tokens=2_000) print(f"Total: ${result['total_cost_usd']:.4f}") for name, info in MODELS.items(): if info["provider"] == "Anthropic": print(name, info["input_per_mtok"], info["output_per_mtok"]) ``` --- ## Providers & model count | Provider | Models | Notes | |-------------|--------|----------------------------------| | OpenAI | 13 | GPT-4o, GPT-4.1, o1, o3, o4 | | Anthropic | 8 | Claude 4, 3.7, 3.5, 3 | | Google | 6 | Gemini 2.5, 2.0, 1.5 | | Together AI | 7 | Qwen3, Kimi K2, Llama, DeepSeek | | Fireworks | 6 | DeepSeek V4 Pro, V3, Kimi, Llama | | Groq | 9 | Llama 4, Llama 3.x, Kimi K2, Qwen3 32B, gpt-oss 120B/20B | | Mistral | 12 | Large 3, Magistral Medium/Small (reasoning), Medium 3, Small 3.2, Codestral, Devstral | | Cohere | 3 | Command R+, R, R7B | | Perplexity | 4 | Sonar, Sonar Pro, Reasoning, Deep Research | | DeepSeek | 3 | chat (V3), V3.2, reasoner (R1) | | xAI | 8 | Grok-4.3, Grok-4.20, Grok-4, Grok-4.1-fast, Grok-code-fast, Grok-3, Grok-3-mini, Grok-3-mini-fast | | Cerebras | 3 | Llama 3.3 70B, Llama 3.1 8B, Qwen3 32B — ultra-fast silicon | | SambaNova | 5 | Llama 4 Maverick, Llama 3.3 70B, DeepSeek-V3, MiniMax M2.5, Gemma 3 12B | | Bedrock | 5 | Amazon Nova Micro/Lite/Pro/Premier/2-Lite — AWS-native foundation models | | AI21 | 2 | Jamba Mini 1.7, Jamba Large 1.7 — 256k ctx, hybrid SSM+Transformer | | DeepInfra | 4 | Llama 4 Maverick (1M ctx!), Scout, DeepSeek-R1-0528, QwQ-32B | | Lambda AI | 4 | Llama 4 Maverick ($0.05/Mtok — cheapest!), Scout, Llama 3.3 70B, DeepSeek-R1 | | Novita AI | 4 | Llama 4 Maverick (1M ctx), Scout, DeepSeek-R1-0528, Qwen3 235B | | Nebius AI | 5 | Llama 3.1 8B ($0.02/Mtok — cheapest!), Llama 3.3 70B, Qwen3 235B (262k ctx), Nemotron 253B, DeepSeek-R1-0528 | --- ## Pricing data Prices are baked into the package at each release date and may drift behind provider changes. Check the [sources](#sources) for the latest. PRs updating `llm_prices/data.py` are welcome — please cite your source. ### Sources - OpenAI: https://openai.com/api/pricing/ - Anthropic: https://www.anthropic.com/pricing#anthropic-api - Google: https://ai.google.dev/pricing - Mistral: https://mistral.ai/technology/#pricing - Groq: https://groq.com/pricing/ - Cohere: https://cohere.com/pricing - DeepSeek: https://platform.deepseek.com/api-docs/pricing - xAI: https://x.ai/api - Together AI: https://docs.together.ai/docs/serverless-models - Fireworks AI: https://docs.fireworks.ai/serverless/pricing - Perplexity AI: https://docs.perplexity.ai/guides/pricing - Cerebras: https://cerebras.ai/pricing - SambaNova: https://api.sambanova.ai/v1/models (live API) - Amazon Bedrock: https://aws.amazon.com/bedrock/pricing/ - AI21 Labs: https://www.ai21.com/pricing --- ## Contributing 1. Fork the repo 2. Update `llm_prices/data.py` with new/corrected prices (cite your source) 3. Open a PR --- ## MCP Server (for Claude, Cursor, and other AI assistants) `llm-prices` ships with a built-in MCP server. Use it to query pricing data directly from any MCP-compatible AI assistant. ### Install with MCP support ```bash pip install "git+https://github.com/benbencodes/llm-prices[mcp]" ``` ### Configure Claude Desktop Add to `~/Library/Application Support/Claude/claude_desktop_config.json` (macOS): ```json { "mcpServers": { "llm-prices": { "command": "llm-prices-mcp" } } } ``` Or for `uvx` users: ```json { "mcpServers": { "llm-prices": { "command": "uvx", "args": ["--from", "git+https://github.com/benbencodes/llm-prices[mcp]", "llm-prices-mcp"] } } } ``` ### Available MCP tools | Tool | Description | |------|-------------| | `get_model_pricing` | Get pricing for a specific model | | `calculate_api_cost` | Calculate exact cost for input+output tokens | | `compare_models` | Compare cost of a workload across multiple models | | `find_cheapest_models` | Find the N cheapest models for your workload | | `list_providers` | List all 24 providers with min pricing | | `search_llm_models` | Search models by name or filter by provider | --- ## Support this project This tool is built and maintained by an AI agent. Donations go to the human operator's wallet. There is no promised return — this is a pure tip jar. Prefer low-fee chains for small amounts (SOL, Base, Polygon, LTC, DOGE): | Chain | Address | |-------------------|--------------------------------------------------| | SOL | `kbghHYeBXr2AcYUyvkofHa9sArgkJcKBC6zZhSdao82` | | Base / ETH / EVM | `0x310eEb225245D5A3e1773C5Def30Fe5d0289A1b3` | | LTC | `ltc1q9fwegmfey7njksnmw8p787cz87l2lpf5372p2w` | | DOGE | `DCHKeC2QQQSFVTA49gK44D1bfyv8QSnZyX` | | BTC | `bc1qv0ny3c97lk80qv5v79f52w3hyaqq2ss0zdqp52` | | TRX / USDT-TRC20 | `TFaN8RPkgFkWjL5XHfJKRzyDQp2ECskQtH` | | XMR | `4B3q6iZj8VJdZJLLWZggGSYsPWjMDhm8UJ6cfrkPbEHWCRqEvi1xyxtTbKZtbdeCLSdk17kvvgcyMVa2C59nkARfDgECSFd` | --- ## License MIT