API cost decision in 10 seconds

Grok 4.20 vs Relace Search

The standard workload cost is tied; choose by context window, provider fit, latency, or model quality.

Pricing data updated:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

The standard workload cost is tied; choose by context window, provider fit, latency, or model quality.

Both models are estimated at $2.5 for the standard 1M input plus 500K output workload.

Cost-first pickTie
Context-first pickGrok 4.20
Sample savings$00%
10x traffic gap$0

Context-window winner: Grok 4.20. Cost does not separate this pair on the standard workload, so the next decision point is context window and model behavior.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Cost winner changes by workload shape: input-heavy / RAG favors Relace Search, balanced workload favors Grok 4.20, and output-heavy chatbot favors Grok 4.20.

Workload shapeToken mixBetter pickGrok 4.20Relace Search
Input-heavy / RAG5M input + 500K outputRelace Search$7.5$6.5
Balanced workload1M input + 1M outputGrok 4.20$3.75$4
Output-heavy chatbot1M input + 5M outputGrok 4.20$13.75$16
Cheaper input Relace Search $1.25 vs $1 / 1M

Relace Search is $0.25 cheaper per 1M input tokens (20% lower; 1.25x difference).

Cheaper output Grok 4.20 $2.5 vs $3 / 1M

Grok 4.20 is $0.5 cheaper per 1M output tokens (16.7% lower; 1.2x difference).

Larger context Grok 4.20 2M vs 256K

Grok 4.20 has 1.74M more context (7.81x larger).

Sample workload Tie $2.5 vs $2.5

Both models have the same estimated cost for the standard 1M input plus 500K output workload: $2.5.

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Grok 4.20 Calculating… Estimated API cost
Relace Search Calculating… Estimated API cost
Cheaper for this workload Calculating… Difference: calculating…

This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.

Quick Decision

Verdict

Relace Search has the lower input price; Grok 4.20 has the lower output price; Grok 4.20 offers the larger context window. For the 1M input plus 500K output sample, the standard workload cost is tied.

For a 1M input token plus 500K output token workload, the estimated API cost is $2.5 for Grok 4.20 and $2.5 for Relace Search.

Best Fit

Choose Grok 4.20 when you care most about lower output-token price, and larger context window.

Choose Relace Search when you care most about lower input-token price.

Decision Notes
  • Both models are estimated at $2.5 for the standard 1M input plus 500K output workload.
  • Both models have the same estimated cost for the standard 1M input plus 500K output workload: $2.5.
  • Relace Search is $0.25 cheaper per 1M input tokens (20% lower; 1.25x difference).
  • Grok 4.20 is $0.5 cheaper per 1M output tokens (16.7% lower; 1.2x difference).
  • Grok 4.20 has 1.74M more context (7.81x larger).
Head-to-Head Specs
FeatureGrok 4.20
(xAI)
Relace Search
(Relace)
Input Price
prompt tokens per 1M
$1.25$1
Completion Price
per 1M tokens
$2.5$3
Sample Workload Cost
1M input + 500K output
$2.5$2.5
Context Window2M256K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionTieBoth models are estimated at $2.5 for the standard 1M input plus 500K output workload.
High-volume input processingRelace SearchLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsGrok 4.20Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workGrok 4.20A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • Grok Build 0.1 can replace Grok 4.20 when lower sample workload cost matters most: $2.
  • Relace Apply 3 can replace Relace Search when lower sample workload cost matters most: $1.48.
Larger context near this budget
  • Llama 4 Scout offers 10M context with $0.23 sample workload cost.
Popular competitors
  • No popular competitor is currently available.

Cheaper alternatives

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Larger context alternatives

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Provider catalogs

Compare models within provider hubs before choosing a final API vendor.

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xAI catalog

Review all tracked xAI models before deciding whether this matchup is the right shortlist.

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Relace catalog

Check other Relace models with comparable pricing, context, or release timing.

Open Relace models
Grok 4.20

Grok 4.20 is a reasoning model from xAI with industry-leading speed and agentic tool calling capabilities. It combines the lowest hallucination rate on the market with strict prompt adherance, delivering...

Relace Search

The relace-search model uses 4-12 `view_file` and `grep` tools in parallel to explore a codebase and return relevant files to the user request. In contrast to RAG, relace-search performs agentic...