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.
- GLM 5.3Z.AIRemove
- Perceptron Mk1.5PerceptronRemove
- DeepSeek V4.1 Flash 1017DeepSeekRemove
- Muse Spark OpenMetaRemove
4 is the maximum. Remove one to add another.
| Attribute | GLM 5.3glm-5.3 | Perceptron Mk1.5perceptron-mk1.5 | DeepSeek V4.1 Flash 1017deepseek-v4.1-flash-1017 | Muse Spark Openmuse-spark-open |
|---|---|---|---|---|
| Pricing | ||||
| Input | $1.40 / 1M | $0.15 / 1M | $0.10 / 1M | $1.25 / 1M |
| Output | $4.40 / 1M | $1.50 / 1M | $0.50 / 1M | $4.25 / 1M |
| Cache Write (5m) | $1.40 / 1M | $0.15 / 1M | $0.10 / 1M | $1.25 / 1M |
| Cache Write (1h) | $1.40 / 1M | $0.15 / 1M | $0.10 / 1M | $1.25 / 1M |
| Cache Read | $1.40 / 1M | $0.15 / 1M | $0.10 / 1M | $1.25 / 1M |
| Web Search | $0 / 1M | $0 / 1M | $0 / 1M | $0 / 1M |
| Context | ||||
| Max context | 1M | 36.9K | 1M | 1M |
| Max output | N/A | N/A | N/A | N/A |
| Capabilities | ||||
| Vision | No | No | Yes | Yes |
| Function Calling | Yes | No | Yes | Yes |
| JSON Mode | Yes | No | Yes | Yes |
| Streaming | Yes | Yes | Yes | Yes |
| Catalogue | ||||
| Provider | Z.AI | Perceptron | DeepSeek | Meta |
| 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 | GLM-5.3 is Z.ai's large-scale reasoning model designed for complex software engineering and long-horizon agentic workflows. It supports text input and output with a 1M-token context window, enabling sustained reasoning across large codebases and extended multi-step tasks. Building on GLM-5.2, it delivers stronger coding performance while improving the balance between capability and token efficiency, making it well suited for autonomous coding agents, large-scale engineering workflows, and complex task execution. | Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token. | DeepSeek V4.1 Flash 1017 is the October 17, 2026 snapshot of DeepSeek’s cost-efficient Mixture-of-Experts (MoE) model, built on its innovative Causal Encoder-Decoder (CED) architecture. Featuring 552B total parameters with 8B activated for input and 16B for output, it combines efficient inference with native multimodal understanding through jointly trained text and visual representations. Optimized for coding, terminal and computer-use agents, and long-horizon workflows, the model introduces compressed KV caching that reduces cache memory usage to approximately one-quarter of the previous Flash generation. DeepSeek reports that it surpasses V4 Pro in performance, inference speed, and task completion time, making it well suited for cost-efficient autonomous agents, complex software engineering, and long-context analysis. | Muse Spark Open is an open-weight, coding-optimized model designed for agentic software engineering workflows. It delivers strong first-attempt accuracy, reliable tool calling, and deep codebase understanding, enabling effective development across real-world repositories. Optimized for autonomous coding agents, complex code navigation, and tool-driven development, Muse Spark Open is well suited for software engineering automation, debugging, code generation, and multi-step coding workflows where accuracy and reliable execution are essential. |