Claude 3.5 Haiku vs MiniMax M2
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 MiniMax M2.
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.
MiniMax M2
MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows. With 10 billion activated parameters (230 billion total), it delivers near-frontier intelligence across general reasoning,...
Technical Specifications
| Specification | Claude 3.5 Haiku | MiniMax M2 |
|---|---|---|
| Provider | Anthropic | MiniMax |
| Context Window | 200,000 tokens | 204,800 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 | 2025-10-23 |
API Pricing Comparison
Input Price per Million Tokens
Claude 3.5 Haiku
$0.80
MiniMax M2
$0.26
Output Price per Million Tokens
Claude 3.5 Haiku
$4.00
MiniMax M2
$1.02
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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.
MiniMax M2 Quirks & Gotchas
No developer gotchas reported.