API cost decision in 10 seconds

NewGrok Build 0.1 vs Relace Search

Pick Grok Build 0.1 when budget is the priority.

Page updated:  Data confirmed:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Grok Build 0.1 when budget is the priority.

On the standard 1M input plus 500K output workload, Grok Build 0.1 is estimated at $2 vs $2.5 for Relace Search, saving $0.5 (20% lower).

Cost-first pickGrok Build 0.1
Context-first pickBoth models
Sample savings$0.520%
10x traffic gap$5

The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $5. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Grok Build 0.1 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickGrok Build 0.1Relace Search
Input-heavy / RAG5M input + 500K outputGrok Build 0.1$6$6.5
Balanced workload1M input + 1M outputGrok Build 0.1$3$4
Output-heavy chatbot1M input + 5M outputGrok Build 0.1$11$16
Cheaper input Tie $1 vs $1 / 1M

Both models report the same input price at $1 per 1M tokens.

Cheaper output Grok Build 0.1 $2 vs $3 / 1M

Grok Build 0.1 is $1 cheaper per 1M output tokens (33.3% lower; 1.5x difference).

Larger context Tie 256K vs 256K

Both models report the same context window at 256K tokens.

Sample workload Grok Build 0.1 $2 vs $2.5

Grok Build 0.1 is $0.5 cheaper on the standard workload (20% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Grok Build 0.1 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

both models tie on input price; Grok Build 0.1 has the lower output price; both models report the same context window. For the 1M input plus 500K output sample, Grok Build 0.1 is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $2 for Grok Build 0.1 and $2.5 for Relace Search.

Best Fit

Choose Grok Build 0.1 when you care most about lower output-token price.

Choose Relace Search when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Decision Notes
  • On the standard 1M input plus 500K output workload, Grok Build 0.1 is estimated at $2 vs $2.5 for Relace Search, saving $0.5 (20% lower).
  • Grok Build 0.1 is $0.5 cheaper on the standard workload (20% lower).
  • Both models report the same input price at $1 per 1M tokens.
  • Grok Build 0.1 is $1 cheaper per 1M output tokens (33.3% lower; 1.5x difference).
  • Both models report the same context window at 256K tokens.
Head-to-Head Specs
FeatureNewGrok Build 0.1
(xAI)		Relace Search
(Relace)
Input Price
prompt tokens per 1M		$1$1
Completion Price
per 1M tokens		$2$3
Sample Workload Cost
1M input + 500K output		$2$2.5
Context Window256K256K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionGrok Build 0.1On the standard 1M input plus 500K output workload, Grok Build 0.1 is estimated at $2 vs $2.5 for Relace Search, saving $0.5 (20% lower).
High-volume input processingTieLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsGrok Build 0.1Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workTieA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • 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.
  • Grok 4.20 offers 2M context with $2.5 sample workload cost.
  • Owl Alpha offers 1.05M context with $0 sample workload cost.
  • DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.

Cheaper alternatives

Review low-cost models sorted by a standard 1M input plus 500K output workload.

Open cheapest models

Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

Open largest context models

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 Build 0.1

Grok Build 0.1 is xAI’s fast coding model trained specifically for agentic software engineering workflows. It supports text and image inputs with text output, and is optimized for interactive coding...

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...