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Model comparison

Claude Haiku 4.5 vs Kimi K2.6

Anthropic against Moonshot AI, compared on context, price, and verified benchmark results.

Catalog record checked August 12, 2026; individual provider fields may change.

Anthropic

Claude Haiku 4.5

Budget

vs

Moonshot AI

Kimi K2.6

Budget · Open weights

AI model capability comparison
SpecificationClaude Haiku 4.5Kimi K2.6
ProviderAnthropicMoonshot AI
TierBudgetBudget
Context window200KWinner: 262K
Max output64KNot verified
Input / 1M tokens$1Winner: $0.95
Output / 1M tokens$5Winner: $4
WeightsClosedOpen
ParametersNot disclosed1T total / 32B active (MoE)
Reasoning levelsNot verifiedNot verified
Modalitiestext, imagetext, image, video
ReleasedOctober 15, 2025April 21, 2026
Artificial Analysis Intelligence Index (2026-08-08)24Winner: 45

Prices are USD per million tokens at standard rates, excluding batch and caching discounts. Bold indicates the better figure where one is objectively better. Values we could not confirm from the provider are shown as “Not verified” rather than estimated.

Pricing tiers: Kimi K2.6: Cache-hit input is $0.16 / MTok; cache-miss input is $0.95 / MTok; output $4.00 / MTok (Moonshot list).

Budget

Claude Haiku 4.5

Anthropic's cheapest tier for high-volume classification and routine extraction.

Best for

  • High-volume classification
  • Routine extraction
  • Cost-sensitive Anthropic stacks

Watch out

A generation behind the 5-series models it sits alongside in the lineup.

BudgetOpen weights

Kimi K2.6

Open-weight mixture-of-experts model priced well below the closed frontier tiers.

Best for

  • Cost-sensitive volume
  • Self-hosting
  • Avoiding vendor lock-in

Watch out

262K context is among the smaller windows here — a real constraint on long-document work.

Common questions

Claude Haiku 4.5 vs Kimi K2.6

Answered from the verified figures on this page rather than general guidance.

Is Claude Haiku 4.5 or Kimi K2.6 cheaper for input?

Kimi K2.6 is cheaper at $0.95 per million input tokens, against $1 for Claude Haiku 4.5 — roughly 1.1× the price. Output tokens usually dominate a real bill, so weigh the output rate more heavily than the input rate. These are base rates; Kimi K2.6 has tiered pricing: Cache-hit input is $0.16 / MTok; cache-miss input is $0.95 / MTok; output $4.00 / MTok (Moonshot list).

Is Claude Haiku 4.5 or Kimi K2.6 cheaper for output?

Kimi K2.6 is cheaper at $4 per million output tokens, against $5 for Claude Haiku 4.5 — roughly 1.3× the price. Output tokens usually dominate a real bill, so weigh the output rate more heavily than the input rate. These are base rates; Kimi K2.6 has tiered pricing: Cache-hit input is $0.16 / MTok; cache-miss input is $0.95 / MTok; output $4.00 / MTok (Moonshot list).

Which has the larger context window, Claude Haiku 4.5 or Kimi K2.6?

Kimi K2.6 accepts 262K tokens against 200K for Claude Haiku 4.5. This only matters if you routinely send very long documents or large codebases.

Should I use Claude Haiku 4.5 or Kimi K2.6?

Both sit in the budget tier, so the choice usually comes down to price and context rather than capability. Claude Haiku 4.5 suits high-volume classification; Kimi K2.6 suits cost-sensitive volume.

Can I self-host Claude Haiku 4.5 or Kimi K2.6?

Kimi K2.6 publishes open weights, but self-hosting and third-party provider access depend on the licence, hardware, serving support, and availability. Claude Haiku 4.5 is a closed model whose supported access paths are controlled by its provider.

Next step

Choosing between them

Tier and workload decide this more reliably than a leaderboard position does.

If both sit in the same tier, the decision usually comes down to context window and output price rather than headline capability — output tokens dominate real bills.

If one is a step up within the same provider, the useful question is whether your hardest task actually fails on the cheaper tier. Most production volume — classification, extraction, summarization — does not.

Choosing a harness rather than a model — Cursor, Copilot, Claude Code, Muse Code, or Lovable? Compare agentic harnesses · Latest releases.