Large Language ModelText GenerationClaude 3.5 Family

Claude 3.5 Haiku

Claude 3.5 Haiku is Anthropic’s lightweight Claude 3.5-series model optimized for speed and low cost while retaining strong reasoning and coding capabilities. It is designed for high-volume, latency-sensitive applications such as chatbots, agents, and real-time tools. Despite being the smallest in the Claude 3.5 family, it offers competitive performance on many language and coding benchmarks.

by AnthropicReleased 2024-10-22Proprietary
Context Window
200K
API Access
Available

Key Capabilities

  • +Fast, low-latency text generation for interactive applications
  • +Strong general reasoning and problem-solving for its size
  • +Good coding assistance across common programming languages
  • +Summarization and document question answering over long contexts
  • +Multilingual understanding and translation for major languages
  • +Tool use and function calling via Anthropic API
  • +Cost-effective for high-volume workloads

Limitations

  • -Lower peak reasoning and coding performance than Claude 3.5 Sonnet or larger frontier models
  • -Knowledge limited to its training cutoff and may miss very recent events or niche topics
  • -May still hallucinate facts or code and requires verification in high-stakes use cases
  • -Not open source and cannot be self-hosted; requires Anthropic’s API
  • -Fine-tuning is not generally available; adaptation relies on prompting and system instructions

Benchmark Performance

reasoning

reasoning

Massive Multitask Language Understanding

78.5%

coding

coding

HumanEval

88.1%

math

math

Grade School Math 8K

88.8%
math

MATH

69.2%

conversation

conversationsource

Chatbot Arena Elo

1133.0Elo

Alternatives & Comparisons

OpenAI’s lightweight GPT-4.1 variant optimized for speed and cost, similar positioning to Claude 3.5 Haiku.

Strengths
  • + Tight integration with OpenAI ecosystem and tools
  • + Strong coding and reasoning for a small model
Weaknesses
  • - Closed source and API-dependent
  • - Exact training data and parameters undisclosed
Llama 3.2 3B InstructOpen-weight LLM

Smaller open-weight model that can be self-hosted, trading off some capability for full control and customization.

Strengths
  • + Open weights and permissive license
  • + Can be fine-tuned and self-hosted
Weaknesses
  • - Typically weaker reasoning than Claude 3.5 Haiku
  • - Operational burden of hosting and scaling

Other Claude 3.5 Models