API cost decision in 10 seconds

🔥DeepSeek V4 Pro vs 🔥Grok 4.1 Fast

Pick Grok 4.1 Fast when budget and context both matter.

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

Budget verdict

Pick Grok 4.1 Fast when budget and context both matter.

On the standard 1M input plus 500K output workload, Grok 4.1 Fast is estimated at $0.45 vs $0.87 for DeepSeek V4 Pro, saving $0.42 (48.3% lower).

Cost-first pickGrok 4.1 Fast
Context-first pickGrok 4.1 Fast
Sample savings$0.4248.3%
10x traffic gap$4.2

Grok 4.1 Fast is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $4.2. Use the calculator below to replace the sample workload with your own token volume.

Cheaper input Grok 4.1 Fast $0.435 vs $0.2 / 1M

Grok 4.1 Fast is $0.23 cheaper per 1M input tokens (54% lower; 2.17x difference).

Cheaper output Grok 4.1 Fast $0.87 vs $0.5 / 1M

Grok 4.1 Fast is $0.37 cheaper per 1M output tokens (42.5% lower; 1.74x difference).

Larger context Grok 4.1 Fast 1.05M vs 2M

Grok 4.1 Fast has 951.42K more context (1.91x larger).

Sample workload Grok 4.1 Fast $0.87 vs $0.45

Grok 4.1 Fast is $0.42 cheaper on the standard workload (48.3% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
DeepSeek V4 Pro Calculating… Estimated API cost
Grok 4.1 Fast 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

Grok 4.1 Fast has the lower input price; Grok 4.1 Fast has the lower output price; Grok 4.1 Fast offers the larger context window. For the 1M input plus 500K output sample, Grok 4.1 Fast is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.87 for DeepSeek V4 Pro and $0.45 for Grok 4.1 Fast.

Best Fit

Choose DeepSeek V4 Pro when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Choose Grok 4.1 Fast when you care most about lower input-token price, lower output-token price, and larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, Grok 4.1 Fast is estimated at $0.45 vs $0.87 for DeepSeek V4 Pro, saving $0.42 (48.3% lower).
  • Grok 4.1 Fast is $0.42 cheaper on the standard workload (48.3% lower).
  • Grok 4.1 Fast is $0.23 cheaper per 1M input tokens (54% lower; 2.17x difference).
  • Grok 4.1 Fast is $0.37 cheaper per 1M output tokens (42.5% lower; 1.74x difference).
  • Grok 4.1 Fast has 951.42K more context (1.91x larger).
Head-to-Head Specs
Feature🔥DeepSeek V4 Pro
(DeepSeek)		🔥Grok 4.1 Fast
(xAI)
Input Price
prompt tokens per 1M		$0.435$0.2
Completion Price
per 1M tokens		$0.87$0.5
Sample Workload Cost
1M input + 500K output		$0.87$0.45
Context Window1.05M2M
Release Date2026-04-242025-11-19
Popularity Rank
current rank		#8#18

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionGrok 4.1 FastOn the standard 1M input plus 500K output workload, Grok 4.1 Fast is estimated at $0.45 vs $0.87 for DeepSeek V4 Pro, saving $0.42 (48.3% lower).
High-volume input processingGrok 4.1 FastLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsGrok 4.1 FastLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workGrok 4.1 FastA larger context window leaves more room for retrieved passages, conversation history, or source files.

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xAI catalog

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DeepSeek V4 Pro

DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window. It is designed for advanced reasoning, coding,...

Grok 4.1 Fast

Grok 4.1 Fast is xAI's best agentic tool calling model that shines in real-world use cases like customer support and deep research. 2M context window. Reasoning can be enabled/disabled using...