Grok · Mid-tier · 1,000K context window

Grok 4.20 Multi-Agent pricing for bug detection

$0.0112 per call at 5,000 input / 2,000 output tokens.

Per call

$0.0112

10K calls/mo

$112.5

Cache savings

84% off input

Batch savings

50% off all

Calculate your Grok 4.20 Multi-Agent costs

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

Configure your usage

5,000
100100K
2,000
5050K
10,000
1001M

Estimated cost

Monthly cost
$113
10,000 calls/month
Cost per call$0.0113
Daily cost$4
Input rate$1.25/MTok
Output rate$2.50/MTok
Analyze your real spend

Quick start

Call Grok 4.20 Multi-Agent 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-4.20-multi-agent-0309",
    max_tokens=2000,
    messages=[{"role": "user", "content": "Your prompt here"}]
)
# Cost: ~$0.0112 per call at standard rates
# Input:  $1.25/MTok
# Output: $2.50/MTok

How Grok 4.20 Multi-Agent compares on cost

Per-call cost for all models scoring 50+ on bug detection benchmarks. Hover for details.

Cheapest viable option: Claude Sonnet 5 at $0.0300/call (-167% less, 96/100 quality).

What drives bug detection cost

Bug detection sends a file and gets back a short list of suspected defects, so input dominates and output stays small. That makes it cheap per call and tempting to run continuously, which is the real cost driver: frequency, not per-call price. Caching the unchanged parts of the codebase and running only on changed files is worth more than switching models.

For Grok 4.20 Multi-Agent specifically, that means output tokens cost 2.0x more than input, at $2.50 vs $1.25 per MTok. At this use case’s 5,000/2,000 token split, output accounts for 44% of the $0.0112 per-call cost.

Complete Grok 4.20 Multi-Agent pricing breakdown

Standard token rates

Direction$/MTokTokens per call
Input$1.255,000
Output$2.502,000

Prompt caching: 84% off input tokens

Caching drops input cost from $1.25 to $0.20/MTok. For repeated system prompts, that saves $0.005250 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$0.0112$112.5$60$52.5
50,000 calls$0.0112$562.5$300$262.5
100,000 calls$0.0112$1,125$600$525
500,000 calls$0.0112$5,625$3,000$2,625
1,000,000 calls$0.0112$11,250$6,000$5,250

Grok 4.20 Multi-Agent quality benchmarks for bug detection

Benchmark data for bug detection is pending for Grok 4.20 Multi-Agent. Test against your own evaluation suite before moving to production.

Performance across all task types

Grok 4.20 Multi-Agent scores by task type. Bug Detection highlighted.

Task typeConfidence scoreRank out of 72

Confidence scores are a third-party benchmark snapshot from week 29 of 2026. This snapshot is 10 weeks old, so treat the scores as directional and validate against your own evals.

Alternative models for bug detection

6 models score 80+ on bug detection benchmarks, sorted by input rate. Cheapest: Claude Sonnet 5 (-167% less, 96/100 quality).

ModelProviderInput $/MTokOutput $/MTokQualityPer callvs Grok
Claude Sonnet 5Claude$2.00$10.0096/100$0.0300167% more
Claude Sonnet 4.6Claude$3.00$15.0095/100$0.0450300% more
GPT 5.6 SolGPT$4.00$20.0092/100$0.0600433% more
Claude Opus 4.8Claude$5.00$25.0094/100$0.0750567% more
GPT 5.5GPT$5.00$30.0090/100$0.0850656% more
Claude Fable 5Claude$10.00$50.0095/100$0.15001233% more

About Grok 4.20 Multi-Agent

Provider

Grok

Tier

Mid-tier

Context

1,000K tokens

Released

Not published

Backfilled on 2026-09-23. Prices confirmed by the provider pricing page and the LiteLLM cross-check. Release date not published in a machine-readable source. Not yet benchmarked, so never recommended.

Other models from Grok

ModelTierInput $/MTokOutput $/MTokContext
Grok 4.6Flagship$2.00$6.00500K
Grok 4.5Flagship$2.00$6.00500K
Grok 4.3Mid-tier$1.25$2.501,000K
Grok Build 0.1Fast / Budget$1.00$2.00256K
Grok 4.20 Non-ReasoningMid-tier$1.25$2.501,000K
Grok 4.20 ReasoningMid-tier$1.25$2.501,000K
Grok 4.7Flagship$2.00$6.00500K

You can compare Grok 4.20 Multi-Agent 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 4.20 Multi-Agent cost for bug detection per API call?

A typical bug detection call using Grok 4.20 Multi-Agent costs about $0.0112 per call. This estimate uses 5,000 input tokens and 2,000 output tokens at standard rates. Standard rates are $1.25 per million input tokens and $2.50 per million output tokens.

Is Grok 4.20 Multi-Agent the best model for bug detection?

Our benchmark data does not yet include a bug detection ranking for Grok 4.20 Multi-Agent. We recommend testing it against your own evaluation criteria before production usage.

What is the cheapest model for bug detection with good quality?

The most affordable model for bug detection 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 96/100. Switching from Grok 4.20 Multi-Agent to Claude Sonnet 5 saves about -167% per API call.

How can I reduce my Grok 4.20 Multi-Agent costs for bug detection?

Three strategies lower Grok 4.20 Multi-Agent 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 $0.0112 to about $0.000900 per call.

How does Grok 4.20 Multi-Agent pricing compare to other Grok models?

Grok has 7 other models alongside Grok 4.20 Multi-Agent 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 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), 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 4.7 at $2.00/$6.00 per million tokens (flagship). The right choice depends on whether your bug detection workload prioritizes quality, cost, or speed.

What context window does Grok 4.20 Multi-Agent support?

Grok 4.20 Multi-Agent supports a context window of 1,000K tokens per API call. This sets the maximum combined length of your input prompt and generated response. For bug detection, typical calls use 5,000 input and 2,000 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.