Grok · Flagship · 500K context window
$0.009000 per call at 1,500 input / 1,000 output tokens.
Per call
$0.009000
10K calls/mo
$90
Cache savings
85% off input
Batch savings
50% off all
Adjust token counts, volume, and discount toggles to model your sql generation spend. Prices verified daily against provider pricing pages.
Call Grok 4.5 with the OpenAI Python SDK pointed at api.x.ai:
import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.x.ai/v1",
api_key=os.environ["XAI_API_KEY"],
)
response = client.chat.completions.create(
model="grok-4.5",
max_tokens=1000,
messages=[{"role": "user", "content": "Your prompt here"}]
)
# Cost: ~$0.009000 per call at standard rates
# Input: $2.00/MTok
# Output: $6.00/MTokPer-call cost for all models scoring 50+ on sql generation benchmarks. Hover for details.
Cheapest viable option: Claude Sonnet 5 at $0.0130/call (-44% less, 93/100 quality).
The cheapest code use case on this list. A natural-language question plus a schema fits in 1.5K tokens, and the query that comes back is under 1K. That makes SQL generation a genuine candidate for a fast-tier model: the task is well-bounded, the output is short, and the quality gap between tiers narrows when there is little room to go wrong. Schema caching cuts the input side to near zero.
For Grok 4.5 specifically, that means output tokens cost 3.0x more than input, at $6.00 vs $2.00 per MTok. At this use case’s 1,500/1,000 token split, output accounts for 67% of the $0.009000 per-call cost.
| Direction | $/MTok | Tokens per call |
|---|---|---|
| Input | $2.00 | 1,500 |
| Output | $6.00 | 1,000 |
Caching drops input cost from $2.00 to $0.30/MTok. For repeated system prompts, that saves $0.002550 per call.
Submit requests asynchronously and receive 50% off all token costs. This works best for offline pipelines where latency requirements are flexible.
| Monthly volume | Cost per call | Standard monthly | Cached monthly | You save with caching |
|---|---|---|---|---|
| 10,000 calls | $0.009000 | $90 | $64.5 | $25.5 |
| 50,000 calls | $0.009000 | $450 | $322.5 | $127.5 |
| 100,000 calls | $0.009000 | $900 | $645 | $255 |
| 500,000 calls | $0.009000 | $4,500 | $3,225 | $1,275 |
| 1,000,000 calls | $0.009000 | $9,000 | $6,450 | $2,550 |
Benchmark data for sql generation is pending for Grok 4.5. Test against your own evaluation suite before moving to production.
Grok 4.5 scores by task type. SQL Generation highlighted.
| Task type | Confidence score | Rank out of 20 |
|---|
Confidence scores are a third-party benchmark snapshot from week 29 of 2026. This snapshot is 8 weeks old, so treat the scores as directional and validate against your own evals.
9 models score 80+ on sql generation benchmarks, sorted by input rate. Cheapest: Claude Sonnet 5 (-44% less, 93/100 quality).
| Model | Provider | Input $/MTok | Output $/MTok | Quality | Per call | vs Grok |
|---|---|---|---|---|---|---|
| Claude Sonnet 5 | Claude | $2.00 | $10.00 | 93/100 | $0.0130 | 44% more |
| GPT 5.6 Terra | GPT | $2.00 | $12.00 | 86/100 | $0.0150 | 67% more |
| Gemini 3.1 Pro | Gemini | $2.00 | $12.00 | 86/100 | $0.0150 | 67% more |
| GPT 5.4 | GPT | $2.50 | $15.00 | 84/100 | $0.0187 | 108% more |
| Claude Sonnet 4.6 | Claude | $3.00 | $15.00 | 92/100 | $0.0195 | 117% more |
| GPT 5.6 Sol | GPT | $4.00 | $20.00 | 94/100 | $0.0260 | 189% more |
| Claude Opus 4.8 | Claude | $5.00 | $25.00 | 95/100 | $0.0325 | 261% more |
| GPT 5.5 | GPT | $5.00 | $30.00 | 91/100 | $0.0375 | 317% more |
| Claude Fable 5 | Claude | $10.00 | $50.00 | 96/100 | $0.0650 | 622% more |
Provider
Grok
Tier
Flagship
Context
500K tokens
Released
Jul 2026
Same list price as Grok 4.6 but a cheaper cached rate ($0.30/MTok vs $0.50), so cache-heavy workloads are cheaper here than on 4.6. xAI publishes release notes at month granularity only; dated to the start of the month.
| Model | Tier | Input $/MTok | Output $/MTok | Context |
|---|---|---|---|---|
| Grok 4.6 | Flagship | $2.00 | $6.00 | 500K |
| Grok 4.3 | Mid-tier | $1.25 | $2.50 | 1,000K |
| Grok Build 0.1 | Fast / Budget | $1.00 | $2.00 | 256K |
You can compare Grok 4.5 head-to-head against any other model on our model comparison pages, or track how pricing has changed over time on the pricing history tracker.
See how Grok 4.5 costs change across different workload types.
Code Generation
$0.0280/call
Unit Test Generation
$0.0360/call
API Generation
$0.0420/call
Code Refactoring
$0.0320/call
Code Review
$0.0220/call
PR Review
$0.0340/call
Security Review
$0.0270/call
Bug Detection
$0.0220/call
Document Summarization
$0.0260/call
PDF Summarization
$0.0390/call
Meeting Notes
$0.0280/call
Email Summarization
$0.009000/call
Chatbot
$0.0100/call
RAG Pipeline
$0.0210/call
Customer Support Bot
$0.0120/call
FAQ Bot
$0.007800/call
Data Extraction
$0.0140/call
JSON Extraction
$0.0108/call
Invoice Parsing
$0.007600/call
Resume Parsing
$0.009800/call
Chain of Thought
$0.0360/call
Legal Analysis
$0.0440/call
Math Reasoning
$0.0210/call
Financial Analysis
$0.0400/call
Content Moderation
$0.001600/call
Sentiment Analysis
$0.001600/call
Categorization
$0.002500/call
Intent Detection
$0.001200/call
Copywriting
$0.0130/call
Blog Writing
$0.0500/call
Marketing Copy
$0.0196/call
Product Descriptions
$0.0100/call
A typical sql generation call using Grok 4.5 costs about $0.009000 per call. This estimate uses 1,500 input tokens and 1,000 output tokens at standard rates. Standard rates are $2.00 per million input tokens and $6.00 per million output tokens.
Our benchmark data does not yet include a sql generation ranking for Grok 4.5. We recommend testing it against your own evaluation criteria before production usage.
The most affordable model for sql generation above 80/100 quality is Claude Sonnet 5. It comes from Claude at $2.00 per million input tokens. Output costs $10.00 per million tokens with a quality score of 93/100. Switching from Grok 4.5 to Claude Sonnet 5 saves about -44% per API call.
Three strategies lower Grok 4.5 costs for this task type effectively. Prompt caching gives a 85% discount on input tokens when reusing system prompts. The batch API gives 50% off all tokens for asynchronous processing workloads. Prompt optimization reduces token counts through more concise instructions and context windows. Combining caching with batching brings your cost from $0.009000 to about $0.000675 per call.
Grok has 3 other models alongside Grok 4.5 today: Grok 4.6 at $2.00/$6.00 per million tokens (flagship), Grok 4.3 at $1.25/$2.50 per million tokens (mid-tier), Grok Build 0.1 at $1.00/$2.00 per million tokens (fast / budget). The right choice depends on whether your sql generation workload prioritizes quality, cost, or speed.
Grok 4.5 supports a context window of 500K tokens per API call. This sets the maximum combined length of your input prompt and generated response. For sql generation, typical calls use 1,500 input and 1,000 output tokens. That is well within this limit, leaving room for longer prompts or multi-turn conversations.
This calculator estimates costs based on published rates only. Connect your API usage to see where your money goes and which models drive your spend.