API cost decision in 10 seconds

🔥Claude Opus 4.7 vs 🔥Kimi K2.6

Pick Kimi K2.6 for lower cost; pick Claude Opus 4.7 only if the larger context window matters more.

Pricing data updated: 2026-05-13T16:32:23Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Kimi K2.6 for lower cost; pick Claude Opus 4.7 only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Kimi K2.6 is estimated at $2.49 vs $17.5 for Claude Opus 4.7, saving $15.01 (85.8% lower).

Cost-first pickKimi K2.6

Context-first pickClaude Opus 4.7

Sample savings$15.0185.8%

10x traffic gap$150.1

Claude Opus 4.7 has more context, but Kimi K2.6 saves $15.01 on the standard workload. At 10x that traffic, the same price gap is about $150.1. Use the calculator below to replace the sample workload with your own token volume.

Cheaper input Kimi K2.6 $5 vs $0.74 / 1M

Kimi K2.6 is $4.26 cheaper per 1M input tokens (85.2% lower; 6.76x difference).

Cheaper output Kimi K2.6 $25 vs $3.5 / 1M

Kimi K2.6 is $21.5 cheaper per 1M output tokens (86% lower; 7.14x difference).

Larger context Claude Opus 4.7 1M vs 262.14K

Claude Opus 4.7 has 737.86K more context (3.81x larger).

Sample workload Kimi K2.6 $17.5 vs $2.49

Kimi K2.6 is $15.01 cheaper on the standard workload (85.8% 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

Kimi K2.6 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

Kimi K2.6 has the lower input price; Kimi K2.6 has the lower output price; Claude Opus 4.7 offers the larger context window. For the 1M input plus 500K output sample, Kimi K2.6 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 $2.49 for Kimi K2.6.

Best Fit

Choose Claude Opus 4.7 when you care most about larger context window.

Choose Kimi K2.6 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, Kimi K2.6 is estimated at $2.49 vs $17.5 for Claude Opus 4.7, saving $15.01 (85.8% lower).
Kimi K2.6 is $15.01 cheaper on the standard workload (85.8% lower).
Kimi K2.6 is $4.26 cheaper per 1M input tokens (85.2% lower; 6.76x difference).
Kimi K2.6 is $21.5 cheaper per 1M output tokens (86% lower; 7.14x difference).
Claude Opus 4.7 has 737.86K more context (3.81x larger).

Head-to-Head Specs

Feature	🔥Claude Opus 4.7 (Anthropic)	🔥Kimi K2.6 (MoonshotAI)
Input Price prompt tokens per 1M	$5	$0.74
Completion Price per 1M tokens	$25	$3.5
Sample Workload Cost 1M input + 500K output	$17.5	$2.49
Context Window	1M	262.14K
Release Date	2026-04-16	2026-04-20
Popularity Rank current rank	#2	#5

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Kimi K2.6	On the standard 1M input plus 500K output workload, Kimi K2.6 is estimated at $2.49 vs $17.5 for Claude Opus 4.7, saving $15.01 (85.8% lower).
High-volume input processing	Kimi K2.6	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Kimi K2.6	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	Claude Opus 4.7	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

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Larger context alternatives

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Provider catalogs

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Anthropic catalog

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MoonshotAI catalog

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Claude Opus 4.7

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...

Kimi K2.6

Kimi K2.6 is Moonshot AI's next-generation multimodal model, designed for long-horizon coding, coding-driven UI/UX generation, and multi-agent orchestration. It handles complex end-to-end coding tasks across Python, Rust, and Go, and...