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.

MiniMax M2MiniMax Remove
GPT-6 Sol ProOpenAI Remove
Gemini 3.5 TranscribeGoogle Remove

Add a model

minimax-m2 vs gpt-6-sol-pro vs gemini-3.5-transcribe
Attribute	MiniMax M2minimax-m2	GPT-6 Sol Progpt-6-sol-pro	Gemini 3.5 Transcribegemini-3.5-transcribe
Pricing
Input	$0.15 / 1M	$2.00 / 1M	— Not priced per input token
Output	$0.45 / 1M	$10.00 / 1M	— Not priced per output token
Cache Write (5m)	$0.15 / 1M	$2.00 / 1M	Not applicable
Cache Write (1h)	$0.15 / 1M	$2.00 / 1M	Not applicable
Cache Read	$0.15 / 1M	$2.00 / 1M	Not applicable
Web Search	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	196.6K	1.1M	98.3K
Max output	N/A	N/A	N/A
Capabilities
Vision	Yes	Yes	Yes
Function Calling	Yes	Yes	Yes
JSON Mode	Yes	Yes	No
Streaming	Yes	Yes	No
Catalogue
Provider	MiniMax	OpenAI	Google
Category	chat	chat	voice
Charge type	Pay As You Go	Pay As You Go	Pay As You Go
Released	—	—	2026-09-25
Description
Summary	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.	GPT-6 Sol Pro uses the same underlying model as GPT-6 Sol, but runs with reasoning.mode set to pro for higher-quality responses on complex and demanding tasks. Optimized for deeper reasoning, greater accuracy, and more reliable multi-step execution, it is particularly well suited for agentic coding, long-horizon software engineering, professional analysis, and complex automated workflows where solution quality takes priority over latency and cost.	Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.