Claude Haiku 5.5 vs Kimi K2.7 Code
Pick up to 3 models · pricing, context and capabilities · simulate your product cost
Data updated on October 23, 2026· 222 models
Claude Haiku 5.5 is Anthropic's small, fast model for high-volume, cost-sensitive work such as summarization, subagents, and browser use.
- Reasoning estimated
- Speed estimated
- ▲
- Input
- Output
- Context
- ▲1 M tokens
- Max output
- 128 K
- Input, $ per 1M tokens
- ▲$0.100
- Output, $ per 1M tokens
- ▲$0.500
- Cache read, $ per 1M
- $0.010
- Batch (input / output)
- $0.050 / $0.250
- Tool calling
- Yes
- Released
- ▲10/07/2026
- Knowledge cutoff
- 2026-06
- API id
- anthropic/claude-haiku-5.5
MoonshotAI: Kimi K2.7 Code is a coding-focused model in Moonshot AI's Kimi K2 family, built to complete end-to-end programming tasks reliably over long contexts.
- Reasoning estimated
- ▲
- Speed estimated
- Input
- Output
- Context
- 262 K tokens
- Max output
- ▲236 K
- Input, $ per 1M tokens
- $0.671
- Output, $ per 1M tokens
- $3.35
- Cache read, $ per 1M
- $0.180
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- 06/12/2026
- Knowledge cutoff
- 2025-01
- API id
- moonshotai/kimi-k2.7-code
Which is the better API choice: Claude Haiku 5.5 vs Kimi K2.7 Code?
- Claude Haiku 5.5: cheapest input (85% less than Kimi K2.7 Code)
- Claude Haiku 5.5: cheapest output
- Claude Haiku 5.5: largest context (1 M)
- Claude Haiku 5.5: the newest (10/07/2026)
- Kimi K2.7 Code: most reasoning (estimated)
- Claude Haiku 5.5: the fastest (estimated)
Claude Haiku 5.5 costs 85% less on input and 85% less on output than Kimi K2.7 Code ($0.100 / $0.500 versus $0.671 / $3.35 per million tokens). Claude Haiku 5.5 accepts more context (1 M). Claude Haiku 5.5 offers a batch tier at half price for jobs that do not need an immediate answer.
What would your product cost?
Estimate the monthly cost with your app's real volume. List prices, no cache or batch discounts.
With Claude Haiku 5.5 you save $19.97 a month versus Kimi K2.7 Code (85% less).
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Paste your prompt: tokens and cost per model
Rough estimate (about 4 characters per token). Nothing is sent to any server.
Cost of sending it 1,000 times (input only)
- 1Claude Haiku 5.5 Anthropic$0.008
- 2Kimi K2.7 Code Moonshot$0.051
- 3Claude Sonnet 5.5 Anthropic$0.152
- 4Claude Sonnet 5 Anthropic$0.152
- 5Claude Opus 5.5 Anthropic$0.304
- 6Claude Opus 5 Anthropic$0.380
- 7Claude Fable 5.1 Anthropic$0.760
- 8Claude Fable 5 Anthropic$0.760
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Frequently asked questions
Which is the better API choice: Claude Haiku 5.5 vs Kimi K2.7 Code?
Claude Haiku 5.5 costs 85% less on input and 85% less on output than Kimi K2.7 Code ($0.100 / $0.500 versus $0.671 / $3.35 per million tokens). Claude Haiku 5.5 accepts more context (1 M). Claude Haiku 5.5 offers a batch tier at half price for jobs that do not need an immediate answer.
Which is cheaper: Claude Haiku 5.5 and Kimi K2.7 Code?
Claude Haiku 5.5 is cheaper: $0.100 per million input tokens and $0.500 per million output tokens, versus $0.671 / $3.35 for Kimi K2.7 Code.
Which has more context: Claude Haiku 5.5 and Kimi K2.7 Code?
Claude Haiku 5.5 accepts 1 M tokens of context; Kimi K2.7 Code accepts 262 K.
Which is newer: Claude Haiku 5.5 and Kimi K2.7 Code?
Claude Haiku 5.5 was released on 10/07/2026; Kimi K2.7 Code on 06/12/2026.
What would 10,000 requests a month cost with Claude Haiku 5.5 and Kimi K2.7 Code?
With 1,500 input and 400 output tokens per request: Claude Haiku 5.5: $3.50; Kimi K2.7 Code: $23.47 a month, at list price.
Where do the prices come from and how often are they updated?
From the public catalogs of OpenRouter, models.dev and LiteLLM, which publish each provider's list prices. They sync once a day and the last update date is shown above the comparison.
What does price per million tokens mean?
It is what the provider charges per million tokens you send (input) or the model generates (output). A token is roughly 4 characters. Output almost always costs more than input.
Sources: OpenRouter, models.dev and LiteLLM. Prices in USD per million tokens, list price, no volume discounts. Prompt tokens are an estimate; each provider's tokenizer may differ.