API cost decision in 10 seconds

NewGrok Build 0.1 vs LFM2.5-1.2B-Instruct (free)

Pick LFM2.5-1.2B-Instruct (free) for lower cost; pick Grok Build 0.1 only if the larger context window matters more.

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

Budget verdict

Pick LFM2.5-1.2B-Instruct (free) for lower cost; pick Grok Build 0.1 only if the larger context window matters more.

On the standard 1M input plus 500K output workload, LFM2.5-1.2B-Instruct (free) is estimated at $0 vs $2 for Grok Build 0.1, saving $2 (100% lower).

Cost-first pickLFM2.5-1.2B-Instruct (free)
Context-first pickGrok Build 0.1
Sample savings$2100%
10x traffic gap$20

Grok Build 0.1 has more context, but LFM2.5-1.2B-Instruct (free) saves $2 on the standard workload. At 10x that traffic, the same price gap is about $20. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

LFM2.5-1.2B-Instruct (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickGrok Build 0.1LFM2.5-1.2B-Instruct (free)
Input-heavy / RAG5M input + 500K outputLFM2.5-1.2B-Instruct (free)$6$0
Balanced workload1M input + 1M outputLFM2.5-1.2B-Instruct (free)$3$0
Output-heavy chatbot1M input + 5M outputLFM2.5-1.2B-Instruct (free)$11$0
Cheaper input LFM2.5-1.2B-Instruct (free) $1 vs $0 / 1M

LFM2.5-1.2B-Instruct (free) is free for input tokens while Grok Build 0.1 costs $1 per 1M tokens.

Cheaper output LFM2.5-1.2B-Instruct (free) $2 vs $0 / 1M

LFM2.5-1.2B-Instruct (free) is free for output tokens while Grok Build 0.1 costs $2 per 1M tokens.

Larger context Grok Build 0.1 256K vs 32.77K

Grok Build 0.1 has 223.23K more context (7.81x larger).

Sample workload LFM2.5-1.2B-Instruct (free) $2 vs $0

LFM2.5-1.2B-Instruct (free) is free for the standard workload while the other model is estimated at $2.

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Grok Build 0.1 Calculating… Estimated API cost
LFM2.5-1.2B-Instruct (free) 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

LFM2.5-1.2B-Instruct (free) has the lower input price; LFM2.5-1.2B-Instruct (free) has the lower output price; Grok Build 0.1 offers the larger context window. For the 1M input plus 500K output sample, LFM2.5-1.2B-Instruct (free) 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 $0 for LFM2.5-1.2B-Instruct (free).

Best Fit

Choose Grok Build 0.1 when you care most about larger context window.

Choose LFM2.5-1.2B-Instruct (free) when you care most about lower input-token price, and lower output-token price.

Decision Notes
  • On the standard 1M input plus 500K output workload, LFM2.5-1.2B-Instruct (free) is estimated at $0 vs $2 for Grok Build 0.1, saving $2 (100% lower).
  • LFM2.5-1.2B-Instruct (free) is free for the standard workload while the other model is estimated at $2.
  • LFM2.5-1.2B-Instruct (free) is free for input tokens while Grok Build 0.1 costs $1 per 1M tokens.
  • LFM2.5-1.2B-Instruct (free) is free for output tokens while Grok Build 0.1 costs $2 per 1M tokens.
  • Grok Build 0.1 has 223.23K more context (7.81x larger).
Head-to-Head Specs
FeatureNewGrok Build 0.1
(xAI)
LFM2.5-1.2B-Instruct (free)
(LiquidAI)
Input Price
prompt tokens per 1M
$1$0
Completion Price
per 1M tokens
$2$0
Sample Workload Cost
1M input + 500K output
$2$0
Context Window256K32.77K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionLFM2.5-1.2B-Instruct (free)On the standard 1M input plus 500K output workload, LFM2.5-1.2B-Instruct (free) is estimated at $0 vs $2 for Grok Build 0.1, saving $2 (100% lower).
High-volume input processingLFM2.5-1.2B-Instruct (free)Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsLFM2.5-1.2B-Instruct (free)Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workGrok Build 0.1A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • No lower-cost same-provider swap is currently tracked for this pair.
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.

Open provider hubs

xAI catalog

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

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LiquidAI catalog

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

Open LiquidAI 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...

LFM2.5-1.2B-Instruct (free)

LFM2.5-1.2B-Instruct is a compact, high-performance instruction-tuned model built for fast on-device AI. It delivers strong chat quality in a 1.2B parameter footprint, with efficient edge inference and broad runtime support.