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Claude 3.5 Haiku vs Kimi K2 Thinking

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Claude 3.5 Haiku and Kimi K2 Thinking.

Anthropic

Claude 3.5 Haiku

Claude 3.5 Haiku is the fast, cost-efficient member of the Claude 3.5 model family from Anthropic, built to deliver strong performance for coding, text processing, and multi-turn conversation at minimal inference cost. With a 200,000-token context window and pricing at $0.80/MTok for input, it is optimized for high-throughput, latency-sensitive production applications such as real-time chat interfaces, code completion tools, and classification systems. While smaller than its Sonnet and Opus siblings, Claude 3.5 Haiku retains Anthropic's strong alignment and safety properties, making it a reliable choice for consumer-facing AI features.

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Moonshot AI

Kimi K2 Thinking

Kimi K2 Thinking is Moonshot AIโ€™s most advanced open reasoning model to date, extending the K2 series into agentic, long-horizon reasoning. Built on the trillion-parameter Mixture-of-Experts (MoE) architecture introduced in...

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Technical Specifications

SpecificationClaude 3.5 HaikuKimi K2 Thinking
ProviderAnthropicMoonshot AI
Context Window200,000 tokens262,144 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment ModelN/Amanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-11-042025-11-06

API Pricing Comparison

Input Price per Million Tokens

Claude 3.5 Haiku

$0.80

Kimi K2 Thinking

$0.60

Output Price per Million Tokens

Claude 3.5 Haiku

$4.00

Kimi K2 Thinking

$2.50

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
7520.0%vs8850.0%
Claude 3.5 Haiku
Kimi K2 Thinking
HumanEvalPython coding & logic synthesis
8810.0%vs9100.0%
Claude 3.5 Haiku
Kimi K2 Thinking
MATHComplex mathematical problem solving
5160.0%vs8540.0%
Claude 3.5 Haiku
Kimi K2 Thinking
GPQAGraduate-level expert reasoning
4150.0%vs5450.0%
Claude 3.5 Haiku
Kimi K2 Thinking
HellaSwagCommonsense reasoning and inference
8920.0%vs8880.0%
Claude 3.5 Haiku
Kimi K2 Thinking
MT-BenchMulti-turn conversation flow quality
850.0%vs922.0%
Claude 3.5 Haiku
Kimi K2 Thinking

Claude 3.5 Haiku Quirks & Gotchas

No developer gotchas reported.

Kimi K2 Thinking Quirks & Gotchas

No developer gotchas reported.