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.
- GPT-6 Sol ProOpenAIRemove
- MiniMax M2MiniMaxRemove
- Perceptron Mk1.5PerceptronRemove
- Transcribe 1 ProFish AudioRemove
4 is the maximum. Remove one to add another.
| Attribute | GPT-6 Sol Progpt-6-sol-pro | MiniMax M2minimax-m2 | Perceptron Mk1.5perceptron-mk1.5 | Transcribe 1 Protranscribe-1-pro |
|---|---|---|---|---|
| Pricing | ||||
| Input | $2.00 / 1M | $0.15 / 1M | $0.15 / 1M | — Not priced per input token |
| Output | $10.00 / 1M | $0.45 / 1M | $1.50 / 1M | — Not priced per output token |
| Cache Write (5m) | $2.00 / 1M | $0.15 / 1M | $0.15 / 1M | Not applicable |
| Cache Write (1h) | $2.00 / 1M | $0.15 / 1M | $0.15 / 1M | Not applicable |
| Cache Read | $2.00 / 1M | $0.15 / 1M | $0.15 / 1M | Not applicable |
| Web Search | $0 / 1M | $0 / 1M | $0 / 1M | $0 / 1M |
| Context | ||||
| Max context | 1.1M | 196.6K | 36.9K | N/A |
| Max output | N/A | N/A | N/A | N/A |
| Capabilities | ||||
| Vision | Yes | Yes | No | No |
| Function Calling | Yes | Yes | No | No |
| JSON Mode | Yes | Yes | No | No |
| Streaming | Yes | Yes | Yes | No |
| Catalogue | ||||
| Provider | OpenAI | MiniMax | Perceptron | Fish Audio |
| Category | chat | chat | chat | voice |
| Charge type | Pay As You Go | Pay As You Go | Pay As You Go | Pay As You Go |
| Released | — | — | 2026-09-25 | 2026-09-24 |
| Description | ||||
| Summary | 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. | 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. | Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <|speaker:0|>. Billed per second of audio. |