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Compare models

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. Gemini 3.5 TranscribeGoogleRemove
  3. GPT-6 LunaOpenAIRemove
  4. Claude Sonnet 5.5AnthropicRemove

4 is the maximum. Remove one to add another.

minimax-m2 vs gemini-3.5-transcribe vs gpt-6-luna vs claude-sonnet-5.5
AttributeMiniMax M2minimax-m2Gemini 3.5 Transcribegemini-3.5-transcribeGPT-6 Lunagpt-6-lunaClaude Sonnet 5.5claude-sonnet-5.5
Pricing
Input$0.15 / 1M— Not priced per input token$0.10 / 1M$2.00 / 1M
Output$0.45 / 1M— Not priced per output token$0.50 / 1M$10.00 / 1M
Cache Write (5m)$0.15 / 1MNot applicable$0.10 / 1M$2.50 / 1M
Cache Write (1h)$0.15 / 1MNot applicable$0.10 / 1M$4.00 / 1M
Cache Read$0.15 / 1MNot applicable$0.10 / 1M$0.20 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context196.6K98.3K1.1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesYesYes
Function CallingYesYesYesYes
JSON ModeYesNoYesYes
StreamingYesNoYesYes
Catalogue
ProviderMiniMaxGoogleOpenAIAnthropic
Categorychatvoicechatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released—2026-09-25——
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.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, optimized for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic tasks. It combines low-cost, responsive inference with the GPT-6 family’s improvements in factual reliability and clear, concise communication. At higher reasoning effort, GPT-6 Luna can also handle complex software engineering and computer-use workflows that previously required a Sol-tier model, making it a versatile choice for scalable production applications that need to balance speed, cost, and capability.Claude Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, serving as a direct upgrade to Sonnet 5. It excels at feature development, bug fixing, and creating polished documents, presentations, and spreadsheets, while offering clearer writing and communication than its predecessor.