GPT-5 vs Claude 4.5 Sonnet vs Gemini 2.5 Pro API Cost for 10,000 Daily RAG Queries (2026 FinOps)
Worked monthly API bill calculation for 10,000 daily RAG requests (4,000 input + 800 output tokens) across GPT-5, Claude 4.5 Sonnet, Gemini 2.5 Pro, and DeepSeek V3.2 with and without prompt caching.
Maintained by: OmniTool Systems & Web Engineering Desk
Last Reviewed: 2026-10-20 (Updated 2026-11-11)
Documentation: Formula & Source Policy
Direct Answer • Verified Quantitative Summary
Running 10,000 daily RAG queries (300,000 requests/month at 4,000 uncached input tokens and 800 output tokens = 1.2B input + 240M output tokens/month) costs $3,900/month on GPT-5 ($1.25/$10.00 per 1M), $7,200/month on Claude 4.5 Sonnet ($3.00/$15.00), and $588/month on DeepSeek V3.2 ($0.27/$1.10)—dropping to $2,910/month on GPT-5 with a 75% prompt-cache hit rate.
Presets:
Estimated Monthly AI API Bill (30 Days)
$3,900.00/mo
Cost per 1,000 API Calls & Daily Spend
$13.00 / 1k calls ($130.00/day)
Monthly Token Volume (Input + Output)
1440.0M (1200.0M in + 240.0M out)
Live Sensitivity Scale (API Requests per Day)
Output Comparison
0.75× Conservative
$2,925.00/mo
1.00× Active
$3,900.00/mo
1.50× Aggressive
$5,850.00/mo
Configured preset assumptions (USD per 1M input/output tokens; confirm applicable provider pricing): Gemini 2.5 Flash = $0.30/$2.50, Flash-Lite = $0.10/$0.40, 2.5 Pro (≤200k) = $1.25/$10.00 per 1M tokens.
Modeled Multi-LLM Monthly Cost Comparison (Configured Rate Assumptions)
| AI Model (API ID) | Input / 1M | Output / 1M | Est. Monthly Bill |
|---|---|---|---|
| GPT-5 (gpt-5 Standard) | $1.25 | $10.00 | $3,900/mo |
| Claude 4.5 Sonnet (claude-sonnet-4-5) | $3.00 | $15.00 | $7,200/mo |
| Gemini 2.5 Pro (gemini-2.5-pro ≤200k) | $1.25 | $10.00 | $3,900/mo |
| OpenAI o3 Reasoning (o3 Standard) | $2.00 | $8.00 | $4,320/mo |
| Gemini 2.5 Flash (gemini-2.5-flash) | $0.30 | $2.50 | $960.00/mo |
| DeepSeek V3.2 / R1 (Standard) | $0.55 | $2.19 | $1,186/mo |
| GPT-4o mini (gpt-4o-mini) | $0.15 | $0.60 | $324.00/mo |
| Gemini 2.5 Flash-Lite (gemini-2.5-flash-lite) | $0.10 | $0.40 | $216.00/mo |
How Does GPT-5 API Cost for 10K RAG Queries Work? (Worked Breakdown)
Uncached Monthly Token Math: At 10,000 requests/day × 30 days = 300,000 monthly calls, 4,000 input tokens generate 1,200M (1.2B) input tokens/month and 800 output tokens generate 240M output tokens/month. On GPT-5 ($1.25/1M input, $10.00/1M output), monthly spend equals (1,200 × $1.25) + (240 × $10.00) = $1,500 + $2,400 = $3,900.00/month ($0.013 per query).
90% Prompt Caching Discount Impact: Both GPT-5 ($0.125/1M cached input) and Claude 4.5 Sonnet ($0.30/1M cached read) discount repeated system prompts and static RAG schema prefixes by 90%. If 3,000 of the 4,000 input tokens hit cache (75% cache hit ratio), GPT-5 input cost drops from $1,500 to (300M × $1.25) + (900M × $0.125) = $487.50—saving $1,012.50/month.
Hybrid Routing Strategy: Routing simple classification/retrieval-rerank turns (70% of traffic) to Gemini 2.5 Flash ($0.30/$2.50 per 1M) or DeepSeek V3.2 while reserving GPT-5 / Claude 4.5 Sonnet for synthesis cuts blended RAG TCO by 58–74%.
Need to run custom scenarios from scratch? Open the master LLM API Token Cost Calculator (GPT-5, Claude 4.5, Gemini 2.5 & DeepSeek) →
300,000 Monthly RAG Calls (1.2B Input + 240M Output Tokens) — 2026 Cost Matrix
| Frontier Model | Input / 1M | Cached / 1M | Output / 1M | Uncached / Mo | 75% Cached / Mo |
|---|---|---|---|---|---|
| GPT-5 | $1.25 | $0.125 | $10.00 | $3,900.00 | $2,988.75 |
| Claude 4.5 Sonnet | $3.00 | $0.300 | $15.00 | $7,200.00 | $4,770.00 |
| Gemini 2.5 Pro (≤200K) | $1.25 | $0.310 | $10.00 | $3,900.00 | $3,054.00 |
| Gemini 2.5 Flash | $0.30 | $0.075 | $2.50 | $960.00 | $757.50 |
| DeepSeek V3.2 | $0.27 | $0.070 | $1.10 | $588.00 | $408.00 |
How Does Scaling API Requests per Day Change LLM API Token Cost? (Benchmark Table)
Compare how scaling API Requests per Day affects your output (click any row to load those values into the calculator above):
| API Requests per Day | Estimated Monthly AI API Bill (30 Days) | Cost per 1,000 API Calls & Daily Spend | Monthly Token Volume (Input + Output) |
|---|---|---|---|
| 5,000 | $1,950.00/mo | $13.00 / 1k calls ($65.00/day) | 720.0M (600.0M in + 120.0M out) |
| 7,500 | $2,925.00/mo | $13.00 / 1k calls ($97.50/day) | 1080.0M (900.0M in + 180.0M out) |
| 10,000 (Baseline) | $3,900.00/mo | $13.00 / 1k calls ($130.00/day) | 1440.0M (1200.0M in + 240.0M out) |
| 12,500 | $4,875.00/mo | $13.00 / 1k calls ($162.50/day) | 1800.0M (1500.0M in + 300.0M out) |
| 15,000 | $5,850.00/mo | $13.00 / 1k calls ($195.00/day) | 2160.0M (1800.0M in + 360.0M out) |
| 20,000 | $7,800.00/mo | $13.00 / 1k calls ($260.00/day) | 2880.0M (2400.0M in + 480.0M out) |
How Do You Calculate LLM API Token Cost? (Formula & Step-by-Step Guide)
Primary mathematical equation used by this model:
Cost per Call = (InTokens × InPrice + OutTokens × OutPrice) / 1,000,000
- Enter your daily API requests and average input tokens per call, then set input and output prices for the applicable provider, model and billing terms. Preset buttons load configured example rates and may also change workload inputs; review those values before comparing scenarios.
- Adjust Avg Output Completion Tokens per Call and Input Price ($ per 1M Tokens) to see how the primary result and visual breakdown bar respond in real time.
- Scan the 6-tier LLM API Token Cost Reference Benchmark Table below or click Download CSV / Print PDF to save your analysis.
Primary Standards & References: Reference pages: Google AI for Developers Gemini API Pricing (ai.google.dev/gemini-api/docs/pricing), OpenAI API Pricing, Anthropic Claude API Pricing and DeepSeek API Documentation. Preset values are configurable rate assumptions, not verified current quotes.
Preset values are modeling assumptions in USD per 1M tokens, not current provider quotes. Confirm the applicable model, tier, region and input/output billing terms. Estimates exclude batch/context-caching discounts, audio/video token rates and enterprise agreements unless reflected in your inputs.
Preset values are modeling assumptions in USD per 1M tokens, not current provider quotes. Confirm the applicable model, tier, region and input/output billing terms. Estimates exclude batch/context-caching discounts, audio/video token rates and enterprise agreements unless reflected in your inputs.
Frequently Asked Questions — LLM API Token Cost
How do the configured Gemini 2.5 Flash and Flash-Lite example rates compare?
At the configured assumptions of $0.30 per 1M input tokens and $2.50 per 1M output tokens, the Gemini 2.5 Flash example is $445.50/month for 10,000 requests/day with 1,200 input and 450 output tokens over 30 days. At $0.10/$0.40, the Flash-Lite example is $90.00/month for that same workload. These calculations do not verify current prices or supported billing modalities; check https://ai.google.dev/gemini-api/docs/pricing for the applicable terms.
How do prompt length tiers (>200k tokens), Batch API, and Context Caching affect LLM token costs?
Prompt-length tiers, batch processing and caching may change the applicable charges. Check the selected provider’s current terms, enter the input/output rates that apply to your scenario, and account separately for cache storage or other fees this two-rate model does not represent. The calculator does not automatically determine eligibility, tier thresholds or discounts.
How should thinking or reasoning tokens be handled in a cost estimate?
Use the selected provider’s definition of billable input and output tokens. If your model bills thinking or reasoning tokens as output tokens, include those billable tokens in the output-token estimate. If they use a separate rate or fee, account for that separately. This calculator does not determine which internal tokens are billable.
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