Model Comparison

Claude 3.5 Haiku vs Kimi K2 Instruct

Kimi K2 Instruct significantly outperforms across most benchmarks. Kimi K2 Instruct is 3.2x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Claude 3.5 Haiku outperforms in 0 benchmarks, while Kimi K2 Instruct is better at 3 benchmarks (GPQA, HumanEval, MMLU-Pro).

Kimi K2 Instruct significantly outperforms across most benchmarks.

Thu Apr 30 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Kimi K2 Instruct costs less

For input processing, Claude 3.5 Haiku ($0.80/1M tokens) is 1.6x more expensive than Kimi K2 Instruct ($0.50/1M tokens).

For output processing, Claude 3.5 Haiku ($4.00/1M tokens) is 8.0x more expensive than Kimi K2 Instruct ($0.50/1M tokens).

In conclusion, Claude 3.5 Haiku is more expensive than Kimi K2 Instruct.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Thu Apr 30 2026 • llm-stats.com
Anthropic
Claude 3.5 Haiku
Input tokens$0.80
Output tokens$4.00
Best providerAWS Bedrock
Moonshot AI
Kimi K2 Instruct
Input tokens$0.50
Output tokens$0.50
Best providerFireworks
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Both models have the same input context window of 200,000 tokens. Both models can generate responses up to 200,000 tokens.

Anthropic
Claude 3.5 Haiku
Input200,000 tokens
Output200,000 tokens
Moonshot AI
Kimi K2 Instruct
Input200,000 tokens
Output200,000 tokens
Thu Apr 30 2026 • llm-stats.com

License

Usage and distribution terms

Claude 3.5 Haiku is licensed under a proprietary license, while Kimi K2 Instruct uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

Claude 3.5 Haiku

Proprietary

Closed source

Kimi K2 Instruct

MIT

Open weights

Release Timeline

When each model was launched

Claude 3.5 Haiku was released on 2024-10-22, while Kimi K2 Instruct was released on 2025-07-11.

Kimi K2 Instruct is 9 months newer than Claude 3.5 Haiku.

Claude 3.5 Haiku

Oct 22, 2024

1.5 years ago

Kimi K2 Instruct

Jul 11, 2025

9 months ago

8mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

Claude 3.5 Haiku is available from Bedrock, Google, Anthropic. Kimi K2 Instruct is available from Fireworks, Novita.

Claude 3.5 Haiku

bedrock logo
AWS Bedrock
Input Price:Input: $0.80/1MOutput Price:Output: $4.00/1M
google logo
Google
Input Price:Input: $0.80/1MOutput Price:Output: $4.00/1M
anthropic logo
Anthropic
Input Price:Input: $1.00/1MOutput Price:Output: $5.00/1M

Kimi K2 Instruct

fireworks logo
Fireworks
Input Price:Input: $0.50/1MOutput Price:Output: $0.50/1M
novita logo
Novita
Input Price:Input: $0.57/1MOutput Price:Output: $2.30/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Anthropic
Moonshot AI
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher GPQA score (75.1% vs 41.6%)
Higher HumanEval score (93.3% vs 88.1%)
Higher MMLU-Pro score (81.1% vs 65.0%)

Detailed Comparison

AI Model Comparison Table
Feature
Anthropic
Claude 3.5 Haiku
Moonshot AI
Kimi K2 Instruct

FAQ

Common questions about Claude 3.5 Haiku vs Kimi K2 Instruct

Kimi K2 Instruct significantly outperforms across most benchmarks. Claude 3.5 Haiku is made by Anthropic and Kimi K2 Instruct is made by Moonshot AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Claude 3.5 Haiku scores HumanEval: 88.1%, MGSM: 85.6%, DROP: 83.1%, MATH: 69.4%, MMLU-Pro: 65.0%. Kimi K2 Instruct scores MATH-500: 97.4%, GSM8k: 97.3%, CBNSL: 95.6%, HumanEval: 93.3%, MMLU-Redux: 92.7%.
Kimi K2 Instruct is 1.6x cheaper for input tokens. Claude 3.5 Haiku costs $0.80/M input and $4.00/M output via bedrock. Kimi K2 Instruct costs $0.50/M input and $0.50/M output via fireworks.
Claude 3.5 Haiku supports 200K tokens and Kimi K2 Instruct supports 200K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include input pricing ($0.80 vs $0.50/M), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.
Claude 3.5 Haiku is developed by Anthropic and Kimi K2 Instruct is developed by Moonshot AI.