Grok · Mid-tier · 1M context window
$0.0225 per call at 15,000 input / 1,500 output tokens.
Per call
$0.0225
10K calls/mo
$225
Cache savings
84% off input
Batch savings
50% off all
Adjust token counts, volume, and discount toggles to model your pdf summarization 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=1500,
messages=[{"role": "user", "content": "Your prompt here"}]
)
# Cost: ~$0.0225 per call at standard rates
# Input: $1.25/MTok
# Output: $2.50/MTokPer-call cost for all models scoring 50+ on pdf summarization benchmarks. Hover for details.
Cheapest viable option: Gemini 3 Flash at $0.0120/call (47% less, 83/100 quality).
PDFs are the worst case for input cost: extracted text carries page furniture, headers, and footnotes that inflate token counts well past what the content warrants. Cleaning the extraction before sending it often cuts more cost than changing models. Long PDFs also routinely cross long-context pricing thresholds, so chunking is both a quality and a cost decision.
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 15,000/1,500 token split, output accounts for 17% of the $0.0225 per-call cost.
| Direction | $/MTok | Tokens per call |
|---|---|---|
| Input | $1.25 | 15,000 |
| Output | $2.50 | 1,500 |
Caching drops input cost from $1.25 to $0.20/MTok. For repeated system prompts, that saves $0.0158 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 | $0.0225 | $225 | $67.5 | $157.5 |
| 50,000 calls | $0.0225 | $1,125 | $337.5 | $787.5 |
| 100,000 calls | $0.0225 | $2,250 | $675 | $1,575 |
| 500,000 calls | $0.0225 | $11,250 | $3,375 | $7,875 |
| 1,000,000 calls | $0.0225 | $22,500 | $6,750 | $15,750 |
Consider alternatives for pdf summarization
Scores 60/100 (rank #27 of 88). Better options exist at similar price points for pdf summarization.
Top-ranked: Gemini 3 Flash (83/100) at $0.0120/call
Grok 4.3 scores by task type. PDF Summarization highlighted.
| Task type | Confidence score | Rank out of 88 |
|---|---|---|
| Reasoning | 71/100 | #28 |
| Creative Writing | 71/100 | #17 |
| Extraction | 70/100 | #28 |
| Summarization(current page) | 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.
10 models score 80+ on pdf summarization benchmarks, sorted by input rate. Cheapest: Gemini 3 Flash (47% less, 83/100 quality).
| Model | Provider | Input $/MTok | Output $/MTok | Quality | Per call | vs Grok |
|---|---|---|---|---|---|---|
| Gemini 3 Flash | Gemini | $0.50 | $3.00 | 83/100 | $0.0120 | 47% cheaper |
| Gemini 3.6 Flash | Gemini | $0.75 | $3.75 | 75/100 | $0.0169 | 25% cheaper |
| Gemini 3.7 Flash | Gemini | $0.75 | $3.75 | 79/100 | $0.0169 | 25% cheaper |
| Gemini 3.8 Flash | Gemini | $0.75 | $3.75 | 81/100 | $0.0169 | 25% cheaper |
| Claude Haiku 4.5 | Claude | $1.00 | $5.00 | 82/100 | $0.0225 | same cost |
| Gemini 3.5 Flash | Gemini | $1.50 | $9.00 | 76/100 | $0.0360 | 60% more |
| Gemini 3.1 Pro | Gemini | $2.00 | $12.00 | 80/100 | $0.0480 | 113% more |
| Grok 4.7 | Grok | $2.00 | $6.00 | 75/100 | $0.0390 | 73% more |
| Claude Fable 5 | Claude | $10.00 | $50.00 | 77/100 | $0.2250 | 900% more |
| GPT 6 Astra | GPT | $10.00 | $50.00 | 76/100 | $0.2250 | 900% 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
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
Marketing Copy
$0.008500/call
Product Descriptions
$0.004375/call
A typical pdf summarization call using Grok 4.3 costs about $0.0225 per call. This estimate uses 15,000 input tokens and 1,500 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 60 out of 100 on pdf summarization benchmarks overall. It ranks #27 across all 88 models in our cross-provider registry. The highest-ranked model for this task is Gemini 3 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 pdf summarization above 80/100 quality is Gemini 3 Flash. It comes from Gemini at $0.50 per million input tokens. Output costs $3.00 per million tokens with a quality score of 83/100. Switching from Grok 4.3 to Gemini 3 Flash saves about 47% per API call.
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 $0.0225 to about $0.001800 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 pdf summarization 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 pdf summarization, typical calls use 15,000 input and 1,500 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.