Skip to content

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. GPT-6.1 SolOpenAIRemove
  2. Claude Sonnet 5.5AnthropicRemove
  3. Gemini 3.5 TranscribeGoogleRemove
  4. MiniMax M2MiniMaxRemove

4 is the maximum. Remove one to add another.

gpt-6.1-sol vs claude-sonnet-5.5 vs gemini-3.5-transcribe vs minimax-m2
AttributeGPT-6.1 Solgpt-6.1-solClaude Sonnet 5.5claude-sonnet-5.5Gemini 3.5 Transcribegemini-3.5-transcribeMiniMax M2minimax-m2
Pricing
Input$2.00 / 1M$2.00 / 1M— Not priced per input token$0.15 / 1M
Output$10.00 / 1M$10.00 / 1M— Not priced per output token$0.45 / 1M
Cache Write (5m)$2.00 / 1M$2.50 / 1MNot applicable$0.15 / 1M
Cache Write (1h)$2.00 / 1M$4.00 / 1MNot applicable$0.15 / 1M
Cache Read$2.00 / 1M$0.20 / 1MNot applicable$0.15 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M98.3K196.6K
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesYesYes
Function CallingYesYesYesYes
JSON ModeYesYesNoYes
StreamingYesYesNoYes
Catalogue
ProviderOpenAIAnthropicGoogleMiniMax
Categorychatchatvoicechat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released——2026-09-25—
Description
SummaryGPT-6.1 Sol is an upgraded high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra. It is optimized for agentic coding, computer use, document-heavy professional work, and multi-step business automation, delivering near-Astra-level capability at significantly lower cost. Compared with GPT-6 Sol, it offers improved factual reliability and stronger adherence to explicit constraints and user intent, making it well suited for complex, long-running agentic workflows where accurate and dependable execution is critical.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.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.MiniMax-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.