chore: sync models with dashboard API

README.md

@@ -158,6 +158,7 @@ zerogpu chat "Port this helper to async/await." -m deepseek-v4-flash-0731
 | `LFM2.5-1.2B-Thinking` | Compact reasoning model. |
 | `gpt-oss-120b` | 120B MoE, 131K context, reasoning + function calling. |
 | `llama-guard-4-12b` | 12B dense, 164K context, brand safety + text moderation. |
+| `deepseek-v4.1-flash` | Sparse MoE (8B active on input, 16B on output), 1M context, long-context agentic work + function calling. |
 | `qwen3-30b-a3b-fp8` | 30B MoE, 100+ languages, reasoning + function calling. |
 | `glm-5.2` | 753B MoE, 262K context, reasoning + function calling. The platform's most capable model, and its priciest. |
 | `deepseek-v4-flash-0731` | 284B MoE (13B active), 1M context, coding and agentic workflows. |

docs/DOCUMENTATION.md

@@ -5,7 +5,7 @@
 `zerogpu-cli` is the official command-line interface for [ZeroGPU](https://zerogpu.ai), a distributed / edge inference platform for small language models (SLMs) and nano language models. The CLI is a thin, OpenAI-compatible client around the ZeroGPU **Responses API** (`https://api.zerogpu.ai/v1/responses`) — and, for models served only there, the **Chat Completions API** (`https://api.zerogpu.ai/v1/chat/completions`) — that lets you call a curated set of edge-optimized models directly from your terminal for common NLP workloads:
 
 - Conversational chat (`LFM2.5-1.2B-Instruct`, `LFM2.5-1.2B-Thinking`)
-- Reasoning and tool-use chat (`gpt-oss-120b`, `llama-guard-4-12b`, `qwen3-30b-a3b-fp8`, `glm-5.2`, `deepseek-v4-flash-0731`)
+- Reasoning and tool-use chat (`gpt-oss-120b`, `llama-guard-4-12b`, `deepseek-v4.1-flash`, `qwen3-30b-a3b-fp8`, `glm-5.2`, `deepseek-v4-flash-0731`)
 - IAB content/audience classification (`zlm-v1-iab-classify-edge`, `zlm-v2-iab-classify-edge-enriched`)
 - Domain-level IAB classification (`zlm-v1-iab-domain-classifier`)
 - Zero-shot classification (`deberta-v3-small`)
@@ -213,6 +213,7 @@ zerogpu chat <text> [-i <instructions>] [-m <model>] [-r]
 | `LFM2.5-1.2B-Thinking` | Responses | Compact reasoning model. |
 | `gpt-oss-120b` | Responses | 120B MoE, 131K context, reasoning + function calling. |
 | `llama-guard-4-12b` | Responses | 12B dense, 163,840-token context, brand safety + text moderation. |
+| `deepseek-v4.1-flash` | Responses | Sparse MoE (8B active on input, 16B on output), 1,048,576-token context, long-context agentic work + function calling. |
 | `qwen3-30b-a3b-fp8` | Chat Completions | 30B MoE, 100+ languages, reasoning + function calling. |
 | `glm-5.2` | Chat Completions | 753B MoE, 262,144-token context, reasoning + function calling. The most capable model on the platform, and the most expensive by an order of magnitude. |
 | `deepseek-v4-flash-0731` | Chat Completions | 284B MoE (13B active), 1,048,576-token context, coding and agentic workflows. |

package.json

@@ -1,6 +1,6 @@
 {
   "name": "zerogpu-cli",
-  "version": "3.9.0",
+  "version": "3.10.0",
   "description": "Command-line interface for ZeroGPU.",
   "type": "module",
   "bin": {

src/commands/chat.ts

@@ -25,6 +25,7 @@ const CHAT_MODELS: Record<string, "responses" | "chat-completions"> = {
   "LFM2.5-1.2B-Thinking": "responses",
   "gpt-oss-120b": "responses",
   "llama-guard-4-12b": "responses",
+  "deepseek-v4.1-flash": "responses",
   "qwen3-30b-a3b-fp8": "chat-completions",
   "glm-5.2": "chat-completions",
   "deepseek-v4-flash-0731": "chat-completions",

src/lib/savings.ts

@@ -23,6 +23,7 @@ export const ZGPU_PRICING: Record<string, { in: number; out: number }> = {
   "gpt-oss-120b": { in: 0.15, out: 0.6 },
   "qwen3-30b-a3b-fp8": { in: 0.05, out: 0.3 },
   "glm-5.2": { in: 1.1, out: 3.5 },
+  "deepseek-v4.1-flash": { in: 0.3, out: 1.2 },
   "deepseek-v4-flash-0731": { in: 0.16, out: 0.38 },
   "llama-guard-4-12b": { in: 0.18, out: 0.18 },
   "llama-3.1-8b-instruct-fast": { in: 0.02, out: 0.05 },

tests/savings.test.ts

@@ -114,6 +114,7 @@ describe("ZGPU_PRICING tracks the published model catalog", () => {
     "gpt-oss-120b": { in: 0.15, out: 0.6 },
     "qwen3-30b-a3b-fp8": { in: 0.05, out: 0.3 },
     "glm-5.2": { in: 1.1, out: 3.5 },
+    "deepseek-v4.1-flash": { in: 0.3, out: 1.2 },
     "deepseek-v4-flash-0731": { in: 0.16, out: 0.38 },
     "llama-guard-4-12b": { in: 0.18, out: 0.18 },
     "llama-3.1-8b-instruct-fast": { in: 0.02, out: 0.05 },