API cost decision in 10 seconds

🔥Claude Opus 4.7 vs 🔥Grok 4.1 Fast

Pick Grok 4.1 Fast when budget and context both matter.

Pricing data updated: 2026-05-13T16:32:23Z 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 $17.5 for Claude Opus 4.7, saving $17.05 (97.4% lower).

Cost-first pickGrok 4.1 Fast

Context-first pickGrok 4.1 Fast

Sample savings$17.0597.4%

10x traffic gap$170.5

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 $170.5. Use the calculator below to replace the sample workload with your own token volume.

Cheaper input Grok 4.1 Fast $5 vs $0.2 / 1M

Grok 4.1 Fast is $4.8 cheaper per 1M input tokens (96% lower; 25x difference).

Cheaper output Grok 4.1 Fast $25 vs $0.5 / 1M

Grok 4.1 Fast is $24.5 cheaper per 1M output tokens (98% lower; 50x difference).

Larger context Grok 4.1 Fast 1M vs 2M

Grok 4.1 Fast has 1M more context (2x larger).

Sample workload Grok 4.1 Fast $17.5 vs $0.45

Grok 4.1 Fast is $17.05 cheaper on the standard workload (97.4% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

Claude Opus 4.7 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 $17.5 for Claude Opus 4.7 and $0.45 for Grok 4.1 Fast.

Best Fit

Choose Claude Opus 4.7 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 $17.5 for Claude Opus 4.7, saving $17.05 (97.4% lower).
Grok 4.1 Fast is $17.05 cheaper on the standard workload (97.4% lower).
Grok 4.1 Fast is $4.8 cheaper per 1M input tokens (96% lower; 25x difference).
Grok 4.1 Fast is $24.5 cheaper per 1M output tokens (98% lower; 50x difference).
Grok 4.1 Fast has 1M more context (2x larger).

Head-to-Head Specs

Feature	🔥Claude Opus 4.7 (Anthropic)	🔥Grok 4.1 Fast (xAI)
Input Price prompt tokens per 1M	$5	$0.2
Completion Price per 1M tokens	$25	$0.5
Sample Workload Cost 1M input + 500K output	$17.5	$0.45
Context Window	1M	2M
Release Date	2026-04-16	2025-11-19
Popularity Rank current rank	#2	#18

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Grok 4.1 Fast	On the standard 1M input plus 500K output workload, Grok 4.1 Fast is estimated at $0.45 vs $17.5 for Claude Opus 4.7, saving $17.05 (97.4% lower).
High-volume input processing	Grok 4.1 Fast	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Grok 4.1 Fast	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	Grok 4.1 Fast	A larger context window leaves more room for retrieved passages, conversation history, or source files.

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Anthropic catalog

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xAI catalog

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Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on...

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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...