Prompt Token Cost Calculator
Paste your prompt, set output tokens, and instantly compare API costs across GPT, Claude, Gemini, and Llama — with caching and batch pricing.
≈ 375 words
Used for the scale estimate table below
Llama 3.1 8B128K
Meta
Gemini 2.0 Flash-Lite1M
Gemini 2.5 Flash-Lite1M
Gemini 2.0 Flash1M
Llama 3.3 70B128K
Meta
GPT-5 mini400K
OpenAI
Gemini 2.5 Flash1M
Gemini 3 Flash1M
Claude Haiku 3.5200K
Anthropic
Claude Haiku 4.5200K
Anthropic
Gemini 2.5 Pro2M
Gemini 3 Pro1M
GPT-5.41M
OpenAI
Claude Sonnet 4.6200K
Anthropic
Claude Opus 4.6200K
Anthropic
Production Scale — 1,000 calls/day
| Model | Provider | Per Call | Daily Cost | Monthly Cost (×30 days) |
|---|---|---|---|---|
| Llama 3.1 8B | Meta | $0.00004 | $0.04 | $1.20 |
| Gemini 2.0 Flash-Lite | $0.00015 | $0.15 | $4.50 | |
| Gemini 2.5 Flash-Lite | $0.0002 | $0.20 | $6.00 | |
| Gemini 2.0 Flash | $0.0002 | $0.20 | $6.00 | |
| Llama 3.3 70B | Meta | $0.0002 | $0.20 | $6.00 |
| GPT-5 mini | OpenAI | $0.001 | $1.00 | $30.00 |
| Gemini 2.5 Flash | $0.00125 | $1.25 | $37.50 | |
| Gemini 3 Flash | $0.0015 | $1.50 | $45.00 | |
| Claude Haiku 3.5 | Anthropic | $0.002 | $2.00 | $60.00 |
| Claude Haiku 4.5 | Anthropic | $0.0025 | $2.50 | $75.00 |
| Gemini 2.5 Pro | $0.005 | $5.00 | $150.00 | |
| Gemini 3 Pro | $0.006 | $6.00 | $180.00 | |
| GPT-5.4 | OpenAI | $0.0075 | $7.50 | $225.00 |
| Claude Sonnet 4.6 | Anthropic | $0.0075 | $7.50 | $225.00 |
| Claude Opus 4.6 | Anthropic | $0.01 | $12.50 | $375.00 |
How to Use
Paste your prompt
Type or paste your system message, user prompt, or full conversation. Token count updates instantly in your browser — nothing is uploaded.
Set expected output
Enter the average output tokens the model will generate. Default is 500 tokens (≈ 375 words). Adjust to match your typical response length.
Filter, sort & compare
Use provider tabs to focus on one vendor. Toggle "Cheapest first" to rank models by cost. Enable "Batch API" to see 50%-off async pricing. Toggle caching to simulate cached input.
Project production cost
Enter your daily API call volume — the scale table shows projected daily and monthly spend (×30 days) per model so you can budget before committing.
How LLM API pricing works
Every major LLM provider bills on a pay-per-token model. You pay separately for input tokens (your prompt, system message, conversation history) and output tokens (the model's generated response). Output tokens are typically priced 3–10× higher than input because generating each token requires a full sequential forward pass — whereas input tokens are read in parallel in a single pass.
The formula: Total cost = (input tokens × input rate) + (output tokens × output rate). Rates are expressed per million tokens ($/1M). A 1,000-token prompt at $3/1M costs $0.003 — small per call, but 10,000 calls/day at $0.01 each is $3,000/month. Use the scale table above to see how costs compound at your volume.
Looking to just count tokens without cost analysis? Try our AI Token Calculator — it shows words, characters, and a token-to-cost reference table alongside the count.
2026 LLM Pricing Reference
Current pricing per 1 million tokens. Batch pricing is 50% of standard for async workloads. Always verify with your provider before committing to a budget.
| Model | Provider | Context | Input / 1M | Output / 1M | Out/In Ratio | Type |
|---|---|---|---|---|---|---|
| GPT-5.4 | OpenAI | 1M | $2.50 | $15.00 | 6.0× | Standard |
| GPT-5.4 (Batch) | OpenAI | 1M | $1.25 | $7.50 | 6.0× | Batch |
| GPT-5 mini | OpenAI | 400K | $0.250 | $2.00 | 8.0× | Standard |
| GPT-5 mini (Batch) | OpenAI | 400K | $0.125 | $1.00 | 8.0× | Batch |
| Claude Opus 4.6 | Anthropic | 200K | $5.00 | $25.00 | 5.0× | Standard |
| Claude Sonnet 4.6 | Anthropic | 200K | $3.00 | $15.00 | 5.0× | Standard |
| Claude Sonnet 4.6 (Batch) | Anthropic | 200K | $1.50 | $7.50 | 5.0× | Batch |
| Claude Haiku 4.5 | Anthropic | 200K | $1.00 | $5.00 | 5.0× | Standard |
| Claude Haiku 4.5 (Batch) | Anthropic | 200K | $0.500 | $2.50 | 5.0× | Batch |
| Claude Haiku 3.5 | Anthropic | 200K | $0.800 | $4.00 | 5.0× | Standard |
| Gemini 3 Pro | 1M | $2.00 | $12.00 | 6.0× | Standard | |
| Gemini 3 Flash | 1M | $0.500 | $3.00 | 6.0× | Standard | |
| Gemini 2.5 Pro | 2M | $1.25 | $10.00 | 8.0× | Standard | |
| Gemini 2.5 Flash | 1M | $0.300 | $2.50 | 8.3× | Standard | |
| Gemini 2.5 Flash-Lite | 1M | $0.100 | $0.400 | 4.0× | Standard | |
| Gemini 2.0 Flash | 1M | $0.100 | $0.400 | 4.0× | Standard | |
| Gemini 2.0 Flash-Lite | 1M | $0.075 | $0.300 | 4.0× | Standard | |
| Llama 3.3 70B | Meta | 128K | $0.230 | $0.400 | 1.7× | Standard |
| Llama 3.1 8B | Meta | 128K | $0.050 | $0.080 | 1.6× | Standard |
Cost Optimization Strategies
Practical techniques to reduce API spend without sacrificing output quality.
| Strategy | Typical Savings | Notes |
|---|---|---|
| Prompt Caching | Up to 90% on input | Cache static system prompts or documents. Supported by OpenAI and Anthropic. Toggle in calculator above. |
| Batch API | 50% overall | OpenAI Batch and Anthropic Batches process requests within 24 hours at 50% discount. Enable in calculator above. |
| Shorten system prompt | 10–40% on input | Every request sends the system prompt. A 500-token reduction × 10K calls/day = 5M fewer input tokens/day. |
| Limit max_tokens | 20–60% on output | Set max_tokens to the minimum your use case needs. Output is typically your most expensive line item. |
| Route to smaller model | 80–95% overall | Use Haiku / Flash-Lite for classification, extraction, and summarization. Reserve Opus / Pro for complex reasoning. |
| Compress conversation history | 30–70% on input | Summarize older turns instead of appending the full chat history to every new request. |
Savings percentages are estimates. Actual results depend on your specific prompts, output length, and provider plan. Always measure with your real workload.
FAQ
Have more questions? Contact us