Compare Claude Haiku 5.5 from Anthropic and MiniMax M3.1 Flash from Minimax on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
Claude Haiku 5.5
MiniMax M3.1 FlashClaude Haiku 5.5 is Anthropic’s next-generation product, designed for high-throughput, cost-sensitive tasks. It can reliably handle fast and repetitive workloads such as summarization, context compression, database queries, and classification requests. It is also well suited to be used as a sub-agent model in programming workflows alongside Opus 5.5 and Sonnet 5.5.
MiniMax-M3.1-Flash is MiniMax's latest flagship model, aimed at office automation, software engineering, visual reasoning, and professional analytics. It combines multi-step task execution with front-end and presentation-creation capabilities, supporting workflows that transform information and visual references into tangible deliverables.
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
Promotional prices show the discounted rate; see each model page for promotion windows.
Daily traffic served through AIHubMix — how demand for each model is trending.
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
Claude Haiku 5.5: $0.5/M output tokens; MiniMax M3.1 Flash: $0.66/M. Use the cost calculator above to estimate your own workload.
Claude Haiku 5.5: 0.6s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
Claude Haiku 5.5 at 187.4 tok/s and MiniMax M3.1 Flash at 107.6 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
Claude Haiku 5.5 accepts text and image input; MiniMax M3.1 Flash accepts text and image input.
Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.
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