Claude Opus 4.7 vs Kimi K2 for customer support: which is better in 2026?

A head-to-head look at Claude Opus 4.7 and Kimi K2 for customer support. Benchmarks via artificialanalysis.ai, pricing as of May 2026. Compare AI models like these inside Admix.

Quick verdict

For customer support in May 2026, Kimi K2 edges out Claude Opus 4.7 on the speedTokPerSec metric. Huge context window at low price.

Side-by-side specs

Spec	Claude	Kimi
Intelligence index	76.9	70.4
Coding index	82.3	68.9
Context window	1M tokens	2M tokens
Speed (tok/s)	88	110
Input $/M	$15.00	$0.60
Output $/M	$75.00	$2.50
Released	Apr 23, 2026	Dec 11, 2025

How they handle customer support

Claude Opus 4.7: Best-in-class agentic coding. The main caveat is premium pricing on output tokens.

Kimi K2: Huge context window at low price. The main caveat is coding lags western frontier models.

Cost per 1,000 queries

Assuming 1,500 input and 800 output tokens per query:

Claude Opus 4.7: $82.50 per 1,000 queries
Kimi K2: $2.90 per 1,000 queries

Verdict by sub-task

Best raw quality on customer support:
Best price: Kimi K2
Longest context: Kimi K2
Fastest: Kimi K2

FAQ

Is Claude Opus 4.7 better than Kimi K2 for customer support?

On May 2026 benchmarks (artificialanalysis.ai), Kimi K2 ranks higher than Claude Opus 4.7 for customer support on the speedTokPerSec metric. The gap is small enough that the choice often comes down to price, context length, and tone.

Which is cheaper, Claude Opus 4.7 or Kimi K2?

Claude Opus 4.7 costs $15.00 input and $75.00 output per million tokens. Kimi K2 costs $0.60 input and $2.50 output per million tokens.

Can I use both Claude and Kimi in one app?

Yes. Admix is a multi model AI chat aggregator that lets you run Claude Opus 4.7 and Kimi K2 side by side under one subscription.

Sources

Benchmarks from artificialanalysis.ai (May 2026).

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