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.
- Gemini 3.5 TranscribeGoogleRemove
- MiniMax M2MiniMaxRemove
- GPT-6 Sol ProOpenAIRemove
- Perceptron Mk1.5PerceptronRemove
4 is the maximum. Remove one to add another.
| Attribute | Gemini 3.5 Transcribegemini-3.5-transcribe | MiniMax M2minimax-m2 | GPT-6 Sol Progpt-6-sol-pro | Perceptron Mk1.5perceptron-mk1.5 |
|---|---|---|---|---|
| Pricing | ||||
| Input | — Not priced per input token | $0.15 / 1M | $2.00 / 1M | $0.15 / 1M |
| Output | — Not priced per output token | $0.45 / 1M | $10.00 / 1M | $1.50 / 1M |
| Cache Write (5m) | Not applicable | $0.15 / 1M | $2.00 / 1M | $0.15 / 1M |
| Cache Write (1h) | Not applicable | $0.15 / 1M | $2.00 / 1M | $0.15 / 1M |
| Cache Read | Not applicable | $0.15 / 1M | $2.00 / 1M | $0.15 / 1M |
| Web Search | $0 / 1M | $0 / 1M | $0 / 1M | $0 / 1M |
| Context | ||||
| Max context | 98.3K | 196.6K | 1.1M | 36.9K |
| Max output | N/A | N/A | N/A | N/A |
| Capabilities | ||||
| Vision | Yes | Yes | Yes | No |
| Function Calling | Yes | Yes | Yes | No |
| JSON Mode | No | Yes | Yes | No |
| Streaming | No | Yes | Yes | Yes |
| Catalogue | ||||
| Provider | MiniMax | OpenAI | Perceptron | |
| Category | voice | chat | chat | chat |
| Charge type | Pay As You Go | Pay As You Go | Pay As You Go | Pay As You Go |
| Released | 2026-09-25 | — | — | 2026-09-25 |
| Description | ||||
| Summary | 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. | 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. | Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token. |