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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. GPT-6 SolOpenAIRemove
  2. MiniMax M2MiniMaxRemove
  3. GPT-6.1 SolOpenAIRemove
  4. Gemini 3.5 TranscribeGoogleRemove

4 is the maximum. Remove one to add another.

gpt-6-sol vs minimax-m2 vs gpt-6.1-sol vs gemini-3.5-transcribe
AttributeGPT-6 Solgpt-6-solMiniMax M2minimax-m2GPT-6.1 Solgpt-6.1-solGemini 3.5 Transcribegemini-3.5-transcribe
Pricing
Input$2.00 / 1M$0.15 / 1M$2.00 / 1M— Not priced per input token
Output$10.00 / 1M$0.45 / 1M$10.00 / 1M— Not priced per output token
Cache Write (5m)$2.00 / 1M$0.15 / 1M$2.00 / 1MNot applicable
Cache Write (1h)$2.00 / 1M$0.15 / 1M$2.00 / 1MNot applicable
Cache Read$2.00 / 1M$0.15 / 1M$2.00 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1.1M196.6K1M98.3K
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesYesYes
Function CallingYesYesYesYes
JSON ModeYesYesYesNo
StreamingYesYesYesNo
Catalogue
ProviderOpenAIMiniMaxOpenAIGoogle
Categorychatchatchatvoice
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released———2026-09-25
Description
SummaryGPT-6 Sol is OpenAI's cost-efficient high-end model in the GPT-6 series, positioned between the flagship GPT-6 Astra and the fast GPT-6 Luna tier. It is designed for professional knowledge work, agentic coding, business workflow automation, and computer-use tasks, with particular strength in long-horizon software engineering across real-world codebases. GPT-6 Sol approaches Astra-level factual reliability at a significantly lower cost, while sharing its clear and concise communication style. This balance of capability, reliability, and efficiency makes it well suited for production agents, complex engineering workflows, and scalable professional applicationsMiniMax-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 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.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.