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
- Gemini 3.5 TranscribeGoogleRemove
- MiniMax M2MiniMaxRemove
- Claude Sonnet 5.5AnthropicRemove
4 is the maximum. Remove one to add another.
| Attribute | Transcribe 1 Protranscribe-1-pro | Gemini 3.5 Transcribegemini-3.5-transcribe | MiniMax M2minimax-m2 | Claude Sonnet 5.5claude-sonnet-5.5 |
|---|---|---|---|---|
| Pricing | ||||
| Input | — Not priced per input token | — Not priced per input token | $0.15 / 1M | $2.00 / 1M |
| Output | — Not priced per output token | — Not priced per output token | $0.45 / 1M | $10.00 / 1M |
| Cache Write (5m) | Not applicable | Not applicable | $0.15 / 1M | $2.50 / 1M |
| Cache Write (1h) | Not applicable | Not applicable | $0.15 / 1M | $4.00 / 1M |
| Cache Read | Not applicable | Not applicable | $0.15 / 1M | $0.20 / 1M |
| Web Search | $0 / 1M | $0 / 1M | $0 / 1M | $0 / 1M |
| Context | ||||
| Max context | N/A | 98.3K | 196.6K | 1M |
| 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 | No | Yes | Yes |
| Streaming | No | No | Yes | Yes |
| Catalogue | ||||
| Provider | Fish Audio | MiniMax | Anthropic | |
| Category | voice | voice | chat | chat |
| 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. | 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. | 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. |