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Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.

  1. MiniMax M2MiniMaxRemove
  2. GPT-6.1 TerraOpenAIRemove
minimax-m2 vs gpt-6.1-terra
AttributeMiniMax M2minimax-m2GPT-6.1 Terragpt-6.1-terra
Pricing
Input$0.15 / 1M$1.00 / 1M
Output$0.45 / 1M$5.00 / 1M
Cache Write (5m)$0.15 / 1M$1.00 / 1M
Cache Write (1h)$0.15 / 1M$1.00 / 1M
Cache Read$0.15 / 1M$1.00 / 1M
Web Search$0 / 1M$0 / 1M
Context
Max context196.6K1M
Max outputN/AN/A
Capabilities
VisionYesYes
Function CallingYesYes
JSON ModeYesYes
StreamingYesNo
Catalogue
ProviderMiniMaxOpenAI
Categorychatchat
Charge typePay As You GoPay As You Go
Released——
Description
SummaryMiniMax-M2 is a compact, high-efficiency model with 10B active (230B total) parameters, optimized for coding and agentic workflows. It delivers near-frontier reasoning and tool use, excels at multi-file coding tasks and compile-run-fix loops, and performs strongly on benchmarks like SWE-Bench and Terminal-Bench. It also handles long-horizon planning and recovery in agent evaluations, ranking among the top open models across reasoning domains. With fast inference and low cost, it’s ideal for large-scale agents and developer assistants — and works best when reasoning is preserved across turns.GPT-6.1 Terra is OpenAI’s mid-tier model in the GPT-6.1 series, designed to balance capability, speed, and cost efficiency. Positioned below GPT-6.1 Sol, it delivers strong performance across everyday agentic workflows, coding, and professional writing, with particular strengths in screenshot understanding and on-screen content analysis. Optimized for high-volume production workloads, GPT-6.1 Terra is well suited for coding assistants, visual interface analysis, workflow automation, and scalable agentic applications that require reliable performance at an accessible cost.