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
- MiniMax M2MiniMaxRemove
- Perceptron Mk1.5PerceptronRemove
- Universal-3.5 ProAssemblyAIRemove
4 is the maximum. Remove one to add another.
| Attribute | Transcribe 1 Protranscribe-1-pro | MiniMax M2minimax-m2 | Perceptron Mk1.5perceptron-mk1.5 | Universal-3.5 Prouniversal-3-5-pro |
|---|---|---|---|---|
| Pricing | ||||
| Input | — Not priced per input token | $0.15 / 1M | $0.15 / 1M | — Not priced per input token |
| Output | — Not priced per output token | $0.45 / 1M | $1.50 / 1M | — Not priced per output token |
| Cache Write (5m) | Not applicable | $0.15 / 1M | $0.15 / 1M | Not applicable |
| Cache Write (1h) | Not applicable | $0.15 / 1M | $0.15 / 1M | Not applicable |
| Cache Read | Not applicable | $0.15 / 1M | $0.15 / 1M | Not applicable |
| Web Search | $0 / 1M | $0 / 1M | $0 / 1M | $0 / 1M |
| Context | ||||
| Max context | N/A | 196.6K | 36.9K | N/A |
| Max output | N/A | N/A | N/A | N/A |
| Capabilities | ||||
| Vision | No | Yes | No | No |
| Function Calling | No | Yes | No | No |
| JSON Mode | No | Yes | No | No |
| Streaming | No | Yes | Yes | No |
| Catalogue | ||||
| Provider | Fish Audio | MiniMax | Perceptron | AssemblyAI |
| 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 | 2026-09-22 |
| 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. | 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. | Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token. | AssemblyAI Universal-3.5 Pro speech-to-text. Billed per second of audio. |