← Back to Model Hub/SIDE-BY-SIDE REVIEW
SHARE THIS:

Claude Haiku 4.5 vs MiniMax M2-her

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 Haiku 4.5 and MiniMax M2-her.

Anthropic

Claude Haiku 4.5

Claude Haiku 4.5 is Anthropic’s fastest and most efficient model, delivering near-frontier intelligence at a fraction of the cost and latency of larger Claude models. Matching Claude Sonnet 4’s performance...

View Full Specs
MiniMax

MiniMax M2-her

MiniMax M2-her is a dialogue-first large language model built for immersive roleplay, character-driven chat, and expressive multi-turn conversations. Designed to stay consistent in tone and personality, it supports rich message...

View Full Specs

Technical Specifications

SpecificationClaude Haiku 4.5MiniMax M2-her
ProviderAnthropicMiniMax
Context Window200,000 tokens65,536 tokens
Agent Suitability87/100N/A
Time to First Token (TTFT)180 msN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-10-152026-01-23

API Pricing Comparison

Input Price per Million Tokens

Claude Haiku 4.5

$1.00

MiniMax M2-her

$0.30

Output Price per Million Tokens

Claude Haiku 4.5

$5.00

MiniMax M2-her

$1.20

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
8480.0%vsN/A
Claude Haiku 4.5
MiniMax M2-her
HumanEvalPython coding & logic synthesis
8600.0%vsN/A
Claude Haiku 4.5
MiniMax M2-her
MATHComplex mathematical problem solving
7500.0%vsN/A
Claude Haiku 4.5
MiniMax M2-her
GPQAGraduate-level expert reasoning
5500.0%vsN/A
Claude Haiku 4.5
MiniMax M2-her
HellaSwagCommonsense reasoning and inference
9350.0%vsN/A
Claude Haiku 4.5
MiniMax M2-her
MT-BenchMulti-turn conversation flow quality
890.0%vsN/A
Claude Haiku 4.5
MiniMax M2-her

Claude Haiku 4.5 Quirks & Gotchas

  • Fastest TTFT in the Claude lineup — ideal for real-time chat
  • Tool calling limited compared to Sonnet — best for simple classification and routing

MiniMax M2-her Quirks & Gotchas

No developer gotchas reported.