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.
| Attribute | MiniMax M2minimax-m2 | Transcribe 1 Protranscribe-1-pro |
|---|---|---|
| Pricing | ||
| Input | $0.15 / 1M | — Not priced per input token |
| Output | $0.45 / 1M | — Not priced per output token |
| Cache Write (5m) | $0.15 / 1M | Not applicable |
| Cache Write (1h) | $0.15 / 1M | Not applicable |
| Cache Read | $0.15 / 1M | Not applicable |
| Web Search | $0 / 1M | $0 / 1M |
| Context | ||
| Max context | 196.6K | N/A |
| Max output | N/A | N/A |
| Capabilities | ||
| Vision | Yes | No |
| Function Calling | Yes | No |
| JSON Mode | Yes | No |
| Streaming | Yes | No |
| Catalogue | ||
| Provider | MiniMax | Fish Audio |
| Category | chat | voice |
| Charge type | Pay As You Go | Pay As You Go |
| Released | — | 2026-09-24 |
| 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. | Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <|speaker:0|>. Billed per second of audio. |