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.
- Transcribe 1 ProFish AudioRemove
- GPT-6.1 SolOpenAIRemove
- MiniMax M2MiniMaxRemove
- Gemini 3.5 TranscribeGoogleRemove
4 is the maximum. Remove one to add another.
| Attribute | Transcribe 1 Protranscribe-1-pro | GPT-6.1 Solgpt-6.1-sol | MiniMax M2minimax-m2 | Gemini 3.5 Transcribegemini-3.5-transcribe |
|---|---|---|---|---|
| Pricing | ||||
| Input | — Not priced per input token | $2.00 / 1M | $0.15 / 1M | — Not priced per input token |
| Output | — Not priced per output token | $10.00 / 1M | $0.45 / 1M | — Not priced per output token |
| Cache Write (5m) | Not applicable | $2.00 / 1M | $0.15 / 1M | Not applicable |
| Cache Write (1h) | Not applicable | $2.00 / 1M | $0.15 / 1M | Not applicable |
| Cache Read | Not applicable | $2.00 / 1M | $0.15 / 1M | Not applicable |
| Web Search | $0 / 1M | $0 / 1M | $0 / 1M | $0 / 1M |
| Context | ||||
| Max context | N/A | 1M | 196.6K | 98.3K |
| Max output | N/A | N/A | N/A | N/A |
| Capabilities | ||||
| Vision | No | Yes | Yes | Yes |
| Function Calling | No | Yes | Yes | Yes |
| JSON Mode | No | Yes | Yes | No |
| Streaming | No | Yes | Yes | No |
| Catalogue | ||||
| Provider | Fish Audio | OpenAI | MiniMax | |
| Category | voice | chat | chat | voice |
| Charge type | Pay As You Go | Pay As You Go | Pay As You Go | Pay As You Go |
| Released | 2026-09-24 | — | — | 2026-09-25 |
| Description | ||||
| Summary | Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <|speaker:0|>. Billed per second of audio. | 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. | 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. | Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token. |