Grok · Mid-tier · 1M context window

Grok 4.3 pricing for financial analysis

$0.0200 per call at 8,000 input / 4,000 output tokens.

Per call

$0.0200

10K calls/mo

$200

Cache savings

84% off input

Batch savings

50% off all

Calculate your Grok 4.3 costs

Adjust token counts, volume, and discount toggles to model your financial analysis spend. Prices verified daily against provider pricing pages.

Configure your usage

8,000
100100K
4,000
5050K
10,000
1001M

Estimated cost

Monthly cost
$200
10,000 calls/month
Cost per call$0.02
Daily cost$7
Input rate$1.25/MTok
Output rate$2.50/MTok
Analyze your real spend

Quick start

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=4000,
    messages=[{"role": "user", "content": "Your prompt here"}]
)
# Cost: ~$0.0200 per call at standard rates
# Input:  $1.25/MTok
# Output: $2.50/MTok

What drives financial analysis cost

Financial analysis carries large structured inputs (statements, tables, time series) and produces detailed reasoning as output, so it is expensive on both sides. Tabular data is token-dense, and formatting choices in how you serialize a table can change input cost by a wide margin before you have changed anything about the model.

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 8,000/4,000 token split, output accounts for 50% of the $0.0200 per-call cost.

Complete Grok 4.3 pricing breakdown

Standard token rates

Direction$/MTokTokens per call
Input$1.258,000
Output$2.504,000

Prompt caching: 84% off input tokens

Caching drops input cost from $1.25 to $0.20/MTok. For repeated system prompts, that saves $0.008400 per call.

Batch API: 50% off all tokens

Submit requests asynchronously and receive 50% off all token costs. This works best for offline pipelines where latency requirements are flexible.

Monthly cost projections

Monthly volumeCost per callStandard monthlyCached monthlyYou save with caching
10,000 calls$0.0200$200$116$84
50,000 calls$0.0200$1,000$580$420
100,000 calls$0.0200$2,000$1,160$840
500,000 calls$0.0200$10,000$5,800$4,200
1,000,000 calls$0.0200$20,000$11,600$8,400

Grok 4.3 quality benchmarks for financial analysis

Consider alternatives for financial analysis

Scores 71/100 (rank #28 of 88). Better options exist at similar price points for financial analysis.

Top-ranked: GPT 6 Astra (93/100) at $0.2800/call

Performance across all task types

Grok 4.3 scores by task type. Financial Analysis highlighted.

Reasoning *71Creative Writing71Extraction70Summarization60Code Generation39
Task typeConfidence scoreRank out of 88
Reasoning(current page)71/100#28
Creative Writing71/100#17
Extraction70/100#28
Summarization60/100#27
Code Generation39/100#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.

Alternative models for financial analysis

22 models score 80+ on financial analysis benchmarks, sorted by input rate. Cheapest: GPT 5.6 Luna (68% less, 86/100 quality).

ModelProviderInput $/MTokOutput $/MTokQualityPer callvs Grok
GPT 5.6 LunaGPT$0.20$1.2086/100$0.00640068% cheaper
Gemini 3.6 FlashGemini$0.75$3.7585/100$0.02105% more
Gemini 3.7 FlashGemini$0.75$3.7588/100$0.02105% more
Gemini 3.8 FlashGemini$0.75$3.7589/100$0.02105% more
Claude Sonnet 5Claude$2.00$10.0089/100$0.0560180% more
GPT 5.6 TerraGPT$2.00$12.0091/100$0.0640220% more
GPT 6 SolGPT$2.00$10.0089/100$0.0560180% more
Gemini 3.1 ProGemini$2.00$12.0084/100$0.0640220% more
Grok 4.6Grok$2.00$6.0091/100$0.0400100% more
Grok 4.5Grok$2.00$6.0087/100$0.0400100% more
GPT 5.4GPT$2.50$15.0088/100$0.0800300% more
Claude Sonnet 4.6Claude$3.00$15.0085/100$0.0840320% more
Claude Opus 5.5Claude$4.00$20.0092/100$0.1120460% more
GPT 5.6 SolGPT$4.00$20.0092/100$0.1120460% more
Claude Opus 4.8Claude$5.00$25.0089/100$0.1400600% more
Claude Opus 5Claude$5.00$25.0091/100$0.1400600% more
Claude Opus 4.7Claude$5.00$25.0087/100$0.1400600% more
Claude Opus 4.6Claude$5.00$25.0089/100$0.1400600% more
GPT 5.5GPT$5.00$30.0090/100$0.1600700% more
Claude Fable 5.1Claude$10.00$50.0092/100$0.28001300% more
Claude Fable 5Claude$10.00$50.0090/100$0.28001300% more
GPT 6 AstraGPT$10.00$50.0093/100$0.28001300% more

About Grok 4.3

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.

Other models from Grok

ModelTierInput $/MTokOutput $/MTokContext
Grok 4.6Flagship$2.00$6.00500K
Grok 4.5Flagship$2.00$6.00500K
Grok Build 0.1Fast / Budget$1.00$2.00256K
Grok 4.20 Non-ReasoningMid-tier$1.25$2.501M
Grok 4.20 ReasoningMid-tier$1.25$2.501M
Grok 4.20 Multi-AgentMid-tier$1.25$2.501M
Grok 4.7Flagship$2.00$6.00500K

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.

Frequently asked questions

How much does Grok 4.3 cost for financial analysis per API call?

A typical financial analysis call using Grok 4.3 costs about $0.0200 per call. This estimate uses 8,000 input tokens and 4,000 output tokens at standard rates. Standard rates are $1.25 per million input tokens and $2.50 per million output tokens.

Is Grok 4.3 the best model for financial analysis?

Grok 4.3 scores 71 out of 100 on financial analysis benchmarks overall. It ranks #28 across all 88 models in our cross-provider registry. The highest-ranked model for this task is GPT 6 Astra from GPT. That model scores 93/100 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.

What is the cheapest model for financial analysis with good quality?

The most affordable model for financial analysis above 80/100 quality is GPT 5.6 Luna. It comes from GPT at $0.20 per million input tokens. Output costs $1.20 per million tokens with a quality score of 86/100. Switching from Grok 4.3 to GPT 5.6 Luna saves about 68% per API call.

How can I reduce my Grok 4.3 costs for financial analysis?

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 $0.0200 to about $0.001600 per call.

How does Grok 4.3 pricing compare to other Grok models?

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 financial analysis workload prioritizes quality, cost, or speed.

What context window does Grok 4.3 support?

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 financial analysis, typical calls use 8,000 input and 4,000 output tokens. That is well within this limit, leaving room for longer prompts or multi-turn conversations.

Track what you spend on AI

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.