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.
- MiniMax M2MiniMaxRemove
- GPT-6 LunaOpenAIRemove
- GPT-6 Sol ProOpenAIRemove
- Perceptron Mk1.5PerceptronRemove
4 is the maximum. Remove one to add another.
| Attribute | MiniMax M2minimax-m2 | GPT-6 Lunagpt-6-luna | GPT-6 Sol Progpt-6-sol-pro | Perceptron Mk1.5perceptron-mk1.5 |
|---|---|---|---|---|
| Pricing | ||||
| Input | $0.15 / 1M | $0.10 / 1M | $2.00 / 1M | $0.15 / 1M |
| Output | $0.45 / 1M | $0.50 / 1M | $10.00 / 1M | $1.50 / 1M |
| Cache Write (5m) | $0.15 / 1M | $0.10 / 1M | $2.00 / 1M | $0.15 / 1M |
| Cache Write (1h) | $0.15 / 1M | $0.10 / 1M | $2.00 / 1M | $0.15 / 1M |
| Cache Read | $0.15 / 1M | $0.10 / 1M | $2.00 / 1M | $0.15 / 1M |
| Web Search | $0 / 1M | $0 / 1M | $0 / 1M | $0 / 1M |
| Context | ||||
| Max context | 196.6K | 1.1M | 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 | Yes | Yes | Yes | No |
| Streaming | Yes | Yes | Yes | Yes |
| Catalogue | ||||
| Provider | MiniMax | OpenAI | OpenAI | Perceptron |
| Category | chat | 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 |
| Description | ||||
| Summary | 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 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, optimized for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic tasks. It combines low-cost, responsive inference with the GPT-6 family’s improvements in factual reliability and clear, concise communication. At higher reasoning effort, GPT-6 Luna can also handle complex software engineering and computer-use workflows that previously required a Sol-tier model, making it a versatile choice for scalable production applications that need to balance speed, cost, and capability. | 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. |