GPT-5 and Claude are the two most popular AI APIs in 2026, but their pricing adds up fast at scale. If you're making thousands of API calls per day, even small per-token savings compound into significant monthly differences.
I compared every way to access these models — direct API, batch processing, cached inputs, and third-party gateways — to find the actual cheapest options.
GPT-5 Pricing: Official Rates (OpenAI Direct)
OpenAI offers multiple GPT-5 variants at different price points:
| Model | Input (per 1M tokens) | Output (per 1M tokens) | Cached Input | Best For |
|---|---|---|---|---|
| GPT-5 | $1.25 | $10.00 | $0.125 | General tasks |
| GPT-5 Mini | $0.25 | $2.00 | $0.025 | Cost-sensitive workloads |
| GPT-5 Nano | $0.05 | $0.40 | $0.005 | High-volume, simple tasks |
Cheapest direct option: GPT-5 Nano at $0.05/$0.40 per million tokens. For most use cases, GPT-5 Mini at $0.25/$2.00 offers the best quality-to-cost ratio.
Batch API Discount
OpenAI's Batch API gives you 50% off standard pricing for non-time-sensitive workloads (processed within 24 hours):
| Model | Batch Input | Batch Output |
|---|---|---|
| GPT-5 | $0.625 | $5.00 |
| GPT-5 Mini | $0.125 | $1.00 |
| GPT-5 Nano | $0.025 | $0.20 |
If your workload can tolerate 24-hour turnaround, batch processing is the single biggest cost reduction available.
Claude Pricing: Official Rates (Anthropic Direct)
Anthropic's Claude model lineup in 2026:
| Model | Input (per 1M tokens) | Output (per 1M tokens) | Cached Input | Best For |
|---|---|---|---|---|
| Claude Opus 4 | $15.00 | $75.00 | $1.50 | Complex reasoning |
| Claude Sonnet 4.6 | $3.00 | $15.00 | $0.30 | Best quality/cost balance |
| Claude Haiku 3.5 | $0.80 | $4.00 | $0.08 | Fast, cheap tasks |
Cheapest direct option: Claude Haiku 3.5 at $0.80/$4.00. For coding and complex tasks, Claude Sonnet 4.6 at $3.00/$15.00 is the sweet spot.
5 Ways to Reduce GPT-5 and Claude API Costs
1. Use Smaller Model Variants
The most obvious savings: use GPT-5 Nano or Claude Haiku instead of the flagship models when quality requirements allow it.
Savings: 75-95% compared to flagship models.
2. Enable Prompt Caching
Both OpenAI and Anthropic offer cached input pricing at ~90% discount. If your prompts share common system messages or context:
# Prompt caching reduces repeated context costs by ~90%
# Structure your prompts with static system messages first
messages = [
{"role": "system", "content": "Your long system prompt here..."}, # Cached
{"role": "user", "content": "User's specific question"} # Not cached
]
Savings: Up to 90% on input tokens for repeated context.
3. Use Batch API for Non-Urgent Workloads
OpenAI's Batch API processes requests within 24 hours at 50% off:
# Submit batch requests for background processing
import openai
client = openai.OpenAI()
batch = client.batches.create(
input_file_id="file-abc123",
endpoint="/v1/chat/completions",
completion_window="24h"
)
Savings: 50% on all token costs.
4. Use an AI API Gateway with Below-Official Pricing
Some AI API gateways offer access to GPT-5 and Claude at prices lower than going direct to OpenAI/Anthropic. This works because gateways negotiate volume discounts and pass savings to users.
Crazyrouter is one gateway that consistently prices below official rates:
from openai import OpenAI
client = OpenAI(
base_url="https://crazyrouter.com/v1",
api_key="sk-your-crazyrouter-key"
)
# Access GPT-5 at below-official pricing
response = client.chat.completions.create(
model="gpt-5",
messages=[{"role": "user", "content": "Hello"}]
)
# Same key works for Claude too
response = client.chat.completions.create(
model="claude-sonnet-4.6",
messages=[{"role": "user", "content": "Hello"}]
)
Savings: 10-40% below official pricing depending on the model. Check crazyrouter.com/pricing for current rates.
Bonus: You also get access to 627+ other models (DeepSeek, Gemini, Qwen, Grok, etc.) through the same API key, so you can easily switch to cheaper alternatives when appropriate.
5. Route to the Cheapest Capable Model Dynamically
Not every request needs GPT-5. Use a routing strategy:
def smart_route(task_complexity, messages):
"""Route to the cheapest model that can handle the task"""
client = OpenAI(
base_url="https://crazyrouter.com/v1",
api_key="sk-your-key"
)
if task_complexity == "simple":
model = "gpt-5-nano" # $0.05/$0.40 per 1M
elif task_complexity == "medium":
model = "deepseek-chat" # Even cheaper for many tasks
elif task_complexity == "coding":
model = "claude-sonnet-4.6" # Best for code
else:
model = "gpt-5" # Full power when needed
return client.chat.completions.create(
model=model,
messages=messages
)
Savings: 60-90% by routing simple tasks to cheaper models.
Cost Comparison: Direct vs. Gateway
Here's what 1 million API calls (average 500 input + 500 output tokens each) costs across different access methods:
| Method | GPT-5 Cost | Claude Sonnet 4.6 Cost |
|---|---|---|
| Direct API | $5.63 | $9.00 |
| Direct + Batch API | $2.81 | N/A |
| Direct + Caching | ~$1.00-3.00 | ~$2.00-5.00 |
| Crazyrouter | Below direct | Below direct |
| OpenRouter | ~$6.19 (+10%) | ~$9.90 (+10%) |
Estimates based on 500 input + 500 output tokens per request. Actual costs vary by usage pattern.
The Cheapest Possible Setup
For maximum cost savings, combine multiple strategies:
- Use Crazyrouter for below-official base pricing
- Route simple tasks to GPT-5 Nano or DeepSeek
- Use prompt caching for repeated context
- Batch non-urgent work through OpenAI's Batch API
- Monitor costs with a tool like Helicone
This combination can reduce your AI API costs by 70-90% compared to naively calling GPT-5 for everything.
Quick Start: Cheapest GPT-5 + Claude Access
from openai import OpenAI
# One key, access to both GPT-5 and Claude at below-official prices
client = OpenAI(
base_url="https://crazyrouter.com/v1",
api_key="sk-your-crazyrouter-key"
)
# Cheap GPT-5 access
response = client.chat.completions.create(
model="gpt-5-nano", # Cheapest GPT-5 variant
messages=[{"role": "user", "content": "Summarize this text..."}]
)
# Cheap Claude access
response = client.chat.completions.create(
model="claude-haiku-3.5", # Cheapest Claude variant
messages=[{"role": "user", "content": "Fix this bug..."}]
)
# Or use DeepSeek for even cheaper inference
response = client.chat.completions.create(
model="deepseek-chat",
messages=[{"role": "user", "content": "Simple question..."}]
)
Sign up at crazyrouter.com to get $0.20 free credit and start testing.
Last updated: April 2026. Pricing changes frequently — verify current rates on each provider's website.
Top comments (0)