Grok · Mid-tier · 1M context window
$0.008500 per call at 800 input / 3,000 output tokens.
Per call
$0.008500
10K calls/mo
$85
Cache savings
84% off input
Batch savings
50% off all
Adjust token counts, volume, and discount toggles to model your marketing copy spend. Prices verified daily against provider pricing pages.
Call Grok 4.3 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-4.3",
max_tokens=3000,
messages=[{"role": "user", "content": "Your prompt here"}]
)
# Cost: ~$0.008500 per call at standard rates
# Input: $1.25/MTok
# Output: $2.50/MTokPer-call cost for all models scoring 50+ on marketing copy benchmarks. Hover for details.
Highest-quality affordable option: Gemini 3.6 Flash at $0.0118/call (1.4x the cost, 76/100 quality). Grok 4.3 is already the cheapest choice for marketing copy.
Marketing copy is generated in variants (the same brief producing many versions for testing), so cost scales with variant count rather than brief length. Requesting several variants in one call is markedly cheaper than several calls, because the brief and brand context are sent once instead of repeatedly.
For Grok 4.3 specifically, that means output tokens cost 2.0x more than input, at $2.50 vs $1.25 per MTok. At this use case’s 800/3,000 token split, output accounts for 88% of the $0.008500 per-call cost.
| Direction | $/MTok | Tokens per call |
|---|---|---|
| Input | $1.25 | 800 |
| Output | $2.50 | 3,000 |
Caching drops input cost from $1.25 to $0.20/MTok. For repeated system prompts, that saves $0.000840 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 | $0.008500 | $85 | $76.6 | $8.4 |
| 50,000 calls | $0.008500 | $425 | $383 | $42 |
| 100,000 calls | $0.008500 | $850 | $766 | $84 |
| 500,000 calls | $0.008500 | $4,250 | $3,830 | $420 |
| 1,000,000 calls | $0.008500 | $8,500 | $7,660 | $840 |
Consider alternatives for marketing copy
Scores 71/100 (rank #17 of 88). Better options exist at similar price points for marketing copy.
Top-ranked: Gemini 3.8 Flash (83/100) at $0.0118/call
Grok 4.3 scores by task type. Marketing Copy highlighted.
| Task type | Confidence score | Rank out of 88 |
|---|---|---|
| Reasoning | 71/100 | #28 |
| Creative Writing(current page) | 71/100 | #17 |
| Extraction | 70/100 | #28 |
| Summarization | 60/100 | #27 |
| Code Generation | 39/100 | #30 |
Confidence scores are a third-party benchmark snapshot from week 26 of 2026. This snapshot is 17 weeks old, so treat the scores as directional and validate against your own evals.
11 models score 80+ on marketing copy benchmarks, sorted by input rate. Cheapest: Gemini 3.6 Flash (39% more, 76/100 quality).
| Model | Provider | Input $/MTok | Output $/MTok | Quality | Per call | vs Grok |
|---|---|---|---|---|---|---|
| Gemini 3.6 Flash | Gemini | $0.75 | $3.75 | 76/100 | $0.0118 | 39% more |
| Gemini 3.7 Flash | Gemini | $0.75 | $3.75 | 82/100 | $0.0118 | 39% more |
| Gemini 3.8 Flash | Gemini | $0.75 | $3.75 | 83/100 | $0.0118 | 39% more |
| Gemini 3.5 Flash | Gemini | $1.50 | $9.00 | 75/100 | $0.0282 | 232% more |
| Gemini 3.1 Pro | Gemini | $2.00 | $12.00 | 77/100 | $0.0376 | 342% more |
| Grok 4.6 | Grok | $2.00 | $6.00 | 78/100 | $0.0196 | 131% more |
| Grok 4.7 | Grok | $2.00 | $6.00 | 75/100 | $0.0196 | 131% more |
| GPT 5.4 | GPT | $2.50 | $15.00 | 79/100 | $0.0470 | 453% more |
| GPT 5.6 Sol | GPT | $4.00 | $20.00 | 76/100 | $0.0632 | 644% more |
| Claude Opus 4.8 | Claude | $5.00 | $25.00 | 81/100 | $0.0790 | 829% more |
| Claude Fable 5.1 | Claude | $10.00 | $50.00 | 78/100 | $0.1580 | 1759% more |
Provider
Grok
Tier
Mid-tier
Context
1M tokens
Released
Mar 2026
xAI publishes no release date for this model; dated to the March 4.20-generation launch whose pricing and 1M context window it shares. Priced from the live models table, which is what matters for costing traffic.
| Model | Tier | Input $/MTok | Output $/MTok | Context |
|---|---|---|---|---|
| Grok 4.6 | Flagship | $2.00 | $6.00 | 500K |
| Grok 4.5 | Flagship | $2.00 | $6.00 | 500K |
| Grok Build 0.1 | Fast / Budget | $1.00 | $2.00 | 256K |
| Grok 4.20 Non-Reasoning | Mid-tier | $1.25 | $2.50 | 1M |
| Grok 4.20 Reasoning | Mid-tier | $1.25 | $2.50 | 1M |
| Grok 4.20 Multi-Agent | Mid-tier | $1.25 | $2.50 | 1M |
| Grok 4.7 | Flagship | $2.00 | $6.00 | 500K |
You can compare Grok 4.3 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 4.3 costs change across different workload types.
Code Generation
$0.0125/call
Unit Test Generation
$0.0163/call
SQL Generation
$0.004375/call
API Generation
$0.0187/call
Code Refactoring
$0.0150/call
Code Review
$0.0112/call
PR Review
$0.0175/call
Security Review
$0.0138/call
Bug Detection
$0.0112/call
Document Summarization
$0.0150/call
PDF Summarization
$0.0225/call
Meeting Notes
$0.0150/call
Email Summarization
$0.005000/call
Chatbot
$0.005000/call
RAG Pipeline
$0.0112/call
Customer Support Bot
$0.006250/call
FAQ Bot
$0.003875/call
Data Extraction
$0.007500/call
JSON Extraction
$0.005750/call
Invoice Parsing
$0.004000/call
Resume Parsing
$0.005125/call
Chain of Thought
$0.0163/call
Legal Analysis
$0.0225/call
Math Reasoning
$0.009375/call
Financial Analysis
$0.0200/call
Content Moderation
$0.000875/call
Sentiment Analysis
$0.000875/call
Categorization
$0.001375/call
Intent Detection
$0.000625/call
Copywriting
$0.005625/call
Blog Writing
$0.0213/call
Product Descriptions
$0.004375/call
A typical marketing copy call using Grok 4.3 costs about $0.008500 per call. This estimate uses 800 input tokens and 3,000 output tokens at standard rates. Standard rates are $1.25 per million input tokens and $2.50 per million output tokens.
Grok 4.3 scores 71 out of 100 on marketing copy benchmarks overall. It ranks #17 across all 88 models in our cross-provider registry. The highest-ranked model for this task is Gemini 3.8 Flash from Gemini. That model scores 83/100 on this task type. Confidence scores are a third-party benchmark snapshot from week 26 of 2026. This snapshot is 17 weeks old, so treat the scores as directional and validate against your own evals.
The most affordable model for marketing copy above 80/100 quality is Gemini 3.6 Flash. It comes from Gemini at $0.75 per million input tokens. Output costs $3.75 per million tokens with a quality score of 76/100. Gemini 3.6 Flash costs more per call than Grok 4.3 but scores higher on quality benchmarks for this task type.
Three strategies lower Grok 4.3 costs for this task type effectively. Prompt caching gives a 84% 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 $0.008500 to about $0.000680 per call.
Grok has 7 other models alongside Grok 4.3 today: Grok 4.6 at $2.00/$6.00 per million tokens (flagship), Grok 4.5 at $2.00/$6.00 per million tokens (flagship), Grok Build 0.1 at $1.00/$2.00 per million tokens (fast / budget), Grok 4.20 Non-Reasoning at $1.25/$2.50 per million tokens (mid-tier), Grok 4.20 Reasoning at $1.25/$2.50 per million tokens (mid-tier), Grok 4.20 Multi-Agent at $1.25/$2.50 per million tokens (mid-tier), Grok 4.7 at $2.00/$6.00 per million tokens (flagship). The right choice depends on whether your marketing copy workload prioritizes quality, cost, or speed.
Grok 4.3 supports a context window of 1M tokens per API call. This sets the maximum combined length of your input prompt and generated response. For marketing copy, typical calls use 800 input and 3,000 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.