Multi-Model AI Token Cost & Prompt Cache ROI Forecaster
Simulate your monthly prompt, completion, and cached token volumes across 37 frontier and open-weight LLMs in real time.
How much does it cost to run frontier LLMs in production per month?
Live All-Model Monthly Spend Leaderboard (37 Models)
Automatically recalculates and ranks every tracked LLM based on your slider settings above.
| Rank | Model | Monthly Spend | Annual Spend | Cache Savings / Mo | SWE-bench | GPQA | IVR |
|---|---|---|---|---|---|---|---|
| #1 | Gemini 3.5 Flash-Lite Google | $0.00 | $0.00 | -$0.00 | 55.4% | 68.4% | 81.5 |
| #2 | Llama 3.3 70B Instruct Meta | $0.00 | $0.00 | -$0.00 | 42.5% | 55.6% | 74.6 |
| #3 | Gemini 2.0 Flash Google DeepMind | $0.00 | $0.00 | -$0.00 | 51.8% | 63.6% | 77.7 |
| #4 | DeepSeek V3 DeepSeek | $0.00 | $0.00 | -$0.00 | 42% | 59.1% | 75 |
| #5 | Gemma 4 31B IT Google | $0.00 | $0.00 | -$0.00 | 59.2% | 71.2% | 80.3 |
| #6 | GLM-5.3-Flash Zhipu AI | $0.00 | $0.00 | -$0.00 | 52.8% | 63.5% | 76.7 |
| #7 | Qwen 3.8 Flash Next Alibaba Cloud | $0.00 | $0.00 | -$0.00 | 81% | 91.7% | 85.1 |
| #8 | GPT-4o Mini OpenAI | $0.00 | $0.00 | -$0.00 | 41% | 40.2% | 67.2 |
| #9 | Llama 4 Maverick Meta | $0.00 | $0.00 | -$0.00 | 62.4% | 73.8% | 77 |
| #10 | Qwen 3.8 27B Alibaba Cloud | $0.00 | $0.00 | -$0.00 | 58.4% | 68% | 74.9 |
| #11 | DeepSeek V4 Flash Vision (Exp) DeepSeek | $0.00 | $0.00 | -$0.00 | 77.4% | 91.3% | 81.6 |
| #12 | GLM-5.3 Zhipu AI | $0.00 | $0.00 | -$0.00 | 56% | 67% | 69.9 |
| #13 | Grok 3 Mini xAI | $0.00 | $0.00 | -$0.00 | 54% | 68% | 69.2 |
| #14 | Gemini 3.8 Flash Google | $0.00 | $0.00 | -$0.00 | 68.5% | 79.2% | 74 |
| #15 | Gemini 2.5 Flash Google | $0.00 | $0.00 | -$0.00 | 58% | 70.5% | 66.6 |
| #16 | DeepSeek R1 DeepSeek | $0.00 | $0.00 | -$0.00 | 49.2% | 71.5% | 64.8 |
| #17 | Claude 3.5 Haiku Anthropic | $0.00 | $0.00 | -$0.00 | 40.6% | 41.6% | 52.4 |
| #18 | OpenAI o4-mini OpenAI | $0.00 | $0.00 | -$0.00 | 68.1% | 81.4% | 63.7 |
| #19 | OpenAI o3-mini OpenAI | $0.00 | $0.00 | -$0.00 | 49.3% | 79.7% | 59.7 |
| #20 | DeepSeek V4 Pro DeepSeek | $0.00 | $0.00 | -$0.00 | 80.6% | 90.1% | 67 |
| #21 | Mistral Large 2 (2411) Mistral AI | $0.00 | $0.00 | -$0.00 | 45.2% | 54.2% | 50.1 |
| #22 | Gemini 3.1 Pro Google | $0.00 | $0.00 | -$0.00 | 71.8% | 82.4% | 60 |
| #23 | Gemini 2.5 Pro Google | $0.00 | $0.00 | -$0.00 | 63.8% | 74% | 56.8 |
| #24 | OpenAI o3 OpenAI | $0.00 | $0.00 | -$0.00 | 71.7% | 87.7% | 60.6 |
| #25 | GPT-6.1 Sol OpenAI | $0.00 | $0.00 | -$0.00 | 86.4% | 92.4% | 62.9 |
| #26 | Gemini 4 Argon Google | $0.00 | $0.00 | -$0.00 | 84.5% | 93.8% | 62.6 |
| #27 | GPT-5 OpenAI | $0.00 | $0.00 | -$0.00 | 74.9% | 85.4% | 59.2 |
| #28 | GPT-4o OpenAI | $0.00 | $0.00 | -$0.00 | 48% | 53.6% | 47.6 |
| #29 | Grok 4 xAI | $0.00 | $0.00 | -$0.00 | 73.2% | 86.2% | 57.6 |
| #30 | Claude 4.5 Sonnet Anthropic | $0.00 | $0.00 | -$0.00 | 75.8% | 84.2% | 56.5 |
| #31 | Claude 3.7 Sonnet Anthropic | $0.00 | $0.00 | -$0.00 | 70.3% | 78.5% | 54.3 |
| #32 | Grok 3 xAI | $0.00 | $0.00 | -$0.00 | 65.8% | 84.6% | 52.7 |
| #33 | Claude 3.5 Sonnet Anthropic | $0.00 | $0.00 | -$0.00 | 49% | 59.4% | 46.2 |
| #34 | Claude Opus 5.5 Anthropic | $0.00 | $0.00 | -$0.00 | 89.9% | 93.2% | 57.8 |
| #35 | GPT-6 Astra OpenAI | $0.00 | $0.00 | -$0.00 | 75.7% | 96% | 47.6 |
| #36 | o1 OpenAI | $0.00 | $0.00 | -$0.00 | 48.9% | 78% | 37.2 |
| #37 | Claude 4 Opus Anthropic | $0.00 | $0.00 | -$0.00 | 77.2% | 87.1% | 43.6 |
⚡ Prompt Caching Economics & KV-Cache Architecture (2026)
Prompt caching allows inference providers to persist repetitive input token sequences — such as system instructions, MCP tool schemas, repository context, and multi-turn conversation prefixes — in distributed GPU/TPU KV-caches. Subsequent requests sharing an identical prefix pay a deeply discounted cache read rate (typically 75% to 90% below standard input pricing) while shaving 30%–65% off Time to First Token (TTFT).
Gemini 4 Argon ($0.20/1M cached vs. $1.00/1M input) and Gemini 3.8 Flash ($0.025/1M cached vs. $0.25/1M input) support 1M-token context caching for massive repository and multimodal RAG workloads.
Claude 4.5 Sonnet drops input costs from $3.00/1M to $0.30/1M on cached reads (with $3.75/1M cache write), making long-horizon coding agent loops dramatically more economical.
DeepSeek-V4 Flash Vision Exp ($0.014/1M cached) and Qwen 3.8 Flash Next ($0.020/1M cached) automatically deduplicate prefix blocks on disk/HBM with zero configuration overhead.