Claude 3.5 Haiku vs GLM 5V Turbo
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 GLM 5V Turbo.
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.
GLM 5V Turbo
GLM-5V-Turbo is Z.ai’s first native multimodal agent foundation model, built for vision-based coding and agent-driven tasks. It natively handles image, video, and text inputs, excels at long-horizon planning, complex coding,...
Technical Specifications
| Specification | Claude 3.5 Haiku | GLM 5V Turbo |
|---|---|---|
| Provider | Anthropic | Zhipu AI |
| Context Window | 200,000 tokens | 202,752 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | N/A | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2024-11-04 | 2026-04-01 |
API Pricing Comparison
Input Price per Million Tokens
Claude 3.5 Haiku
$0.80
GLM 5V Turbo
$1.20
Output Price per Million Tokens
Claude 3.5 Haiku
$4.00
GLM 5V Turbo
$4.00
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Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
Claude 3.5 Haiku Quirks & Gotchas
No developer gotchas reported.
GLM 5V Turbo Quirks & Gotchas
No developer gotchas reported.