Kimi K2 vs Claude Haiku 4.5 for summarizing pdfs: which is better in 2026?

A head-to-head look at Kimi K2 and Claude Haiku 4.5 for summarizing pdfs. Benchmarks via artificialanalysis.ai, pricing as of May 2026. Compare AI models like these inside Admix.

Quick verdict

For summarizing pdfs in May 2026, Kimi K2 edges out Claude Haiku 4.5 on the contextWindow metric. Matches Gemini context at a much lower price.

Side-by-side specs

Spec	Kimi	Haiku
Intelligence index	70.4	65.8
Coding index	68.9	66.2
Context window	2M tokens	500K tokens
Speed (tok/s)	110	205
Input $/M	$0.60	$0.80
Output $/M	$2.50	$4.00
Released	Dec 11, 2025	Mar 19, 2026

How they handle summarizing pdfs

Kimi K2: Matches Gemini context at a much lower price.

Claude Haiku 4.5: Cheap Claude quality for everyday tasks. The main caveat is not as strong as opus on agentic coding.

Cost per 1,000 queries

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

Kimi K2: $2.90 per 1,000 queries
Claude Haiku 4.5: $4.40 per 1,000 queries

Verdict by sub-task

Best raw quality on summarizing pdfs:
Best price: Kimi K2
Longest context: Kimi K2
Fastest: Claude Haiku 4.5

FAQ

Is Kimi K2 better than Claude Haiku 4.5 for summarizing pdfs?

On May 2026 benchmarks (artificialanalysis.ai), Kimi K2 ranks higher than Claude Haiku 4.5 for summarizing pdfs on the contextWindow metric. The gap is small enough that the choice often comes down to price, context length, and tone.

Which is cheaper, Kimi K2 or Claude Haiku 4.5?

Kimi K2 costs $0.60 input and $2.50 output per million tokens. Claude Haiku 4.5 costs $0.80 input and $4.00 output per million tokens.

Can I use both Kimi and Haiku in one app?

Yes. Admix is a multi model AI chat aggregator that lets you run Kimi K2 and Claude Haiku 4.5 side by side under one subscription.

Sources

Benchmarks from artificialanalysis.ai (May 2026).

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