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 3.8 FlashGoogleRemove
- DeepSeek V4.1 Flash 1017DeepSeekRemove
- Perceptron Mk1.5PerceptronRemove
- GLM 5.3Z.AIRemove
4 is the maximum. Remove one to add another.
| Attribute | Gemini 3.8 Flashgemini-3.8-flash | DeepSeek V4.1 Flash 1017deepseek-v4.1-flash-1017 | Perceptron Mk1.5perceptron-mk1.5 | GLM 5.3glm-5.3 |
|---|---|---|---|---|
| Pricing | ||||
| Input | $0.75 / 1M | $0.10 / 1M | $0.15 / 1M | $1.40 / 1M |
| Output | $3.75 / 1M | $0.50 / 1M | $1.50 / 1M | $4.40 / 1M |
| Cache Write (5m) | $0.75 / 1M | $0.10 / 1M | $0.15 / 1M | $1.40 / 1M |
| Cache Write (1h) | $0.75 / 1M | $0.10 / 1M | $0.15 / 1M | $1.40 / 1M |
| Cache Read | $0.75 / 1M | $0.10 / 1M | $0.15 / 1M | $1.40 / 1M |
| Web Search | $0 / 1M | $0 / 1M | $0 / 1M | $0 / 1M |
| Context | ||||
| Max context | 1M | 1M | 36.9K | 1M |
| Max output | N/A | N/A | N/A | N/A |
| Capabilities | ||||
| Vision | Yes | Yes | No | No |
| Function Calling | Yes | Yes | No | Yes |
| JSON Mode | Yes | Yes | No | Yes |
| Streaming | Yes | Yes | Yes | Yes |
| Catalogue | ||||
| Provider | DeepSeek | Perceptron | Z.AI | |
| 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 | Gemini 3.8 Flash is Google's most intelligent Flash-class model, delivering significant improvements over Gemini 3.7 Flash across software engineering, agentic workflows, and complex multi-step reasoning. Designed to combine strong capability with Flash-tier efficiency, it is well suited for coding assistants, autonomous agents, and high-throughput production workflows that require responsive performance without sacrificing reasoning quality. | 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. | Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token. | 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. |