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  2. config.json +6 -0
README.md CHANGED
@@ -21,7 +21,7 @@ inference: false
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22
  ### The flagship. Strict zero retention.
23
 
24
- ![interface](https://img.shields.io/badge/interface-OpenAI--compatible-black) ![license](https://img.shields.io/badge/license-Apache--2.0-green) ![skeleton-v1](https://img.shields.io/badge/zero%20data%20retention-purple) ![benchmarks](https://img.shields.io/badge/benchmarks-self--reported-orange)
25
 
26
  **Stealth-Skeleton Research (`stealth-skeleton`)**
27
 
@@ -36,26 +36,64 @@ inference: false
36
 
37
  > **API-only.** This repository is the official Model Card & Documentation Hub for the `stealth-skeleton/skeleton-v1` endpoint on OpenRouter. It does **not** contain downloadable model weights. The Apache-2.0 license applies to the documentation and configuration files in this repository.
38
 
39
- **Flagship Sovereign Mathematical, Spectral & Systems Reasoning Model**
40
 
41
- The flagship of the family: long-form mathematical, spectral and systems reasoning with a strict zero-data-retention policy.
42
 
43
- ## โœจ What it does
 
 
44
 
45
- - **Sovereign reasoning** over mathematical, spectral and systems problems.
46
- - **32K max output** for full derivations and long-form answers.
47
- - **Strict Zero Data Retention (ZDR)**: ephemeral processing only.
 
 
48
 
49
  ## ๐Ÿงพ Quick facts
50
 
51
  | Property | Value |
52
  |---|---|
53
- | Interface | OpenAI-compatible Chat Completions |
 
 
54
  | Context window | 128K tokens |
55
  | Max output | 32K tokens |
56
- | Pricing | See the OpenRouter listing |
 
57
  | Weights | None: API-only |
58
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
59
  ## ๐Ÿ”ฌ Under the hood
60
 
61
  - **Execution-verified mathematical operator synthesis**: generated operators are checked by running them.
@@ -65,12 +103,19 @@ The flagship of the family: long-form mathematical, spectral and systems reasoni
65
  - **36th-order Hou-Li spectral filtering**.
66
  - **Auto-Exacto tool-calling grammar healing**: malformed tool-call JSON is repaired before it is returned.
67
 
 
 
 
 
 
 
 
 
 
68
  All figures above are self-reported from internal tests.
69
 
70
  ## ๐Ÿ“Š Benchmarks: Internal 3-Pass Evaluation Suite (Self-Reported)
71
 
72
- These results come from our internal 3-pass evaluation suite. They have not been independently verified and may differ from official leaderboard runs.
73
-
74
  | Suite | Score |
75
  |---|---|
76
  | MATH-500 | 92.00% |
@@ -82,12 +127,25 @@ These results come from our internal 3-pass evaluation suite. They have not been
82
  | ForecastBench (Proper Brier Skill) | 78.52% (0.0969 Brier) |
83
  | **Composite (mean of 7)** | **86.12 / 100** |
84
 
85
- ## ๐Ÿš€ Try it in 30 seconds
 
 
 
 
 
 
 
 
 
 
86
 
87
- Model ID: `stealth-skeleton/skeleton-v1` via OpenRouter, once provider routing is active for your account.
88
 
89
- <details open>
90
- <summary><b>Python (OpenAI SDK)</b></summary>
 
 
 
91
 
92
  ```python
93
  from openai import OpenAI
@@ -97,32 +155,87 @@ client = OpenAI(
97
  api_key="<YOUR_OPENROUTER_API_KEY>",
98
  )
99
 
100
- resp = client.chat.completions.create(
101
  model="stealth-skeleton/skeleton-v1",
102
- messages=[{"role": "user", "content": "Derive the stability condition for an explicit finite-difference scheme for the 1D heat equation."}],
 
 
 
 
 
 
103
  )
104
- print(resp.choices[0].message.content)
 
105
  ```
106
 
107
- </details>
108
 
109
- <details>
110
- <summary><b>curl</b></summary>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
111
 
112
  ```bash
113
  curl https://openrouter.ai/api/v1/chat/completions \
114
- -H "Authorization: Bearer $OPENROUTER_API_KEY" \
115
  -H "Content-Type: application/json" \
 
116
  -d '{
117
  "model": "stealth-skeleton/skeleton-v1",
118
- "messages": [{"role": "user", "content": "Hello, skeleton!"}]
 
 
 
119
  }'
120
  ```
121
 
122
- </details>
123
 
124
  <details>
125
- <summary><b>sst/opencode</b></summary>
126
 
127
  ```json
128
  {
@@ -139,16 +252,21 @@ curl https://openrouter.ai/api/v1/chat/completions \
139
 
140
  </details>
141
 
142
- ## ๐Ÿฆด Meet the family
 
143
 
144
- | Model | In one line |
145
- |---|---|
146
- | ๐Ÿ’€ [skeleton-alpha](https://huggingface.co/stealth-skeleton/skeleton-alpha) | Free. Fast. Execution-verified. |
147
- | ๐Ÿ‘‘ [skeleton-v1](https://huggingface.co/stealth-skeleton/skeleton-v1) | The flagship. Strict zero retention. |
148
- | ๐Ÿ“ [skeleton-math-pro](https://huggingface.co/stealth-skeleton/skeleton-math-pro) | Graduate-level math, spectral filters, transport. |
149
- | ๐Ÿ”ฎ [skeleton-forecast](https://huggingface.co/stealth-skeleton/skeleton-forecast) | Calibrated forecasts with honest error bars. |
150
- | ๐Ÿ—ฃ๏ธ [skeleton-council](https://huggingface.co/stealth-skeleton/skeleton-council) | Four voices argue. A sheaf decides. |
151
- | โšก [skeleton-flash](https://huggingface.co/stealth-skeleton/skeleton-flash) | Quick retrieval. No vector database. |
 
 
 
 
152
 
153
  ## ๐Ÿ”’ Data & Privacy
154
 
@@ -156,6 +274,6 @@ curl https://openrouter.ai/api/v1/chat/completions \
156
 
157
  ## โš ๏ธ Limitations
158
 
159
- - Behavior, limits and availability may change without notice.
160
  - Benchmarks are self-reported only; validate on your own workloads.
161
  - Not intended for safety-critical, medical, legal or financial decisions.
 
21
 
22
  ### The flagship. Strict zero retention.
23
 
24
+ ![interface](https://img.shields.io/badge/interface-OpenAI--compatible-black) ![license](https://img.shields.io/badge/license-Apache--2.0-green) ![skeleton-v1](https://img.shields.io/badge/zero%20data%20retention-purple) ![context](https://img.shields.io/badge/context-128K-blue) ![benchmarks](https://img.shields.io/badge/benchmarks-self--reported-orange)
25
 
26
  **Stealth-Skeleton Research (`stealth-skeleton`)**
27
 
 
36
 
37
  > **API-only.** This repository is the official Model Card & Documentation Hub for the `stealth-skeleton/skeleton-v1` endpoint on OpenRouter. It does **not** contain downloadable model weights. The Apache-2.0 license applies to the documentation and configuration files in this repository.
38
 
39
+ ## ๐Ÿ‘‘ Overview: Sovereign General-Purpose Mathematical, Systems & Code Reasoning Flagship
40
 
41
+ Full 3-pass inference stack (Pass 1 fast draft โ†’ Pass 2 chain-of-thought critique โ†’ Pass 3 operator-verified synthesis) with strict **Zero Data Retention (ZDR)**. Also supports `service_tier: "priority"` (`skeleton-v1-fast`) and `variant: "batch"`.
42
 
43
+ - **Full 3-pass stack**: draft, critique, operator-verified synthesis.
44
+ - **32K max output** for full derivations and multi-file work.
45
+ - **Strict ZDR**, priority tier and batch variant available.
46
 
47
+ **Best for:**
48
+
49
+ - Production software engineering & complex multi-file refactoring
50
+ - Enterprise workloads requiring strict **Zero Data Retention (ZDR)**
51
+ - Long-horizon system design, formal verification & deep research synthesis
52
 
53
  ## ๐Ÿงพ Quick facts
54
 
55
  | Property | Value |
56
  |---|---|
57
+ | Tier | Flagship Production |
58
+ | Price (input / output per 1M tokens) | $1.50 / $6.00 |
59
+ | Cache read | $0.30 per 1M |
60
  | Context window | 128K tokens |
61
  | Max output | 32K tokens |
62
+ | Data policy | Strict ZDR |
63
+ | Interface | OpenAI-compatible Chat Completions |
64
  | Weights | None: API-only |
65
 
66
+ ## ๐Ÿฆด Stealth-Skeleton Model Family Guide: What Each Model Does & When to Use It
67
+
68
+ | Model | Tier, pricing & limits | Core architecture & what it does | Best use cases (when to use it) |
69
+ |---|---|---|---|
70
+ | ๐Ÿ’€ **[skeleton-alpha](https://huggingface.co/stealth-skeleton/skeleton-alpha)** | **Free Preview**<br>$0 / $0 (free) per 1M<br>128K context, 16K max output | Combines multi-pass reasoning with **Auto-Exacto** deterministic tool-call grammar healing (>95% schema compliance, self-reported) and symbolic conservation checks. Anonymized execution-verified traces help align future checkpoints via DPO/GRPO. | โ€ข Daily agentic coding in **OpenCode, Cline, Roo Code, Cursor, Aider**<br>โ€ข Multi-turn function/tool calling & MCP orchestration<br>โ€ข Zero-cost high-volume prototyping, unit test generation & math/code verification |
71
+ | ๐Ÿ‘‘ **[skeleton-v1](https://huggingface.co/stealth-skeleton/skeleton-v1)** | **Flagship Production**<br>$1.50 / $6.00 per 1M<br>128K context, 32K max output | Full 3-pass inference stack (Pass 1 fast draft โ†’ Pass 2 chain-of-thought critique โ†’ Pass 3 operator-verified synthesis) with strict **Zero Data Retention (ZDR)**. Also supports `service_tier: "priority"` (`skeleton-v1-fast`) and `variant: "batch"`. | โ€ข Production software engineering & complex multi-file refactoring<br>โ€ข Enterprise workloads requiring strict **Zero Data Retention (ZDR)**<br>โ€ข Long-horizon system design, formal verification & deep research synthesis |
72
+ | ๐Ÿ“ **[skeleton-math-pro](https://huggingface.co/stealth-skeleton/skeleton-math-pro)** | **Specialist Kernel**<br>$1.50 / $6.00 per 1M<br>128K context, 32K max output | Built for symbolic derivations, **Sinkhorn-Knopp optimal transport** (L1 marginal residual 1.39e-16), **Frisch-Waugh-Lovell (FWL)** orthogonal residualization (< 1e-15), **36th-order Hou-Li spectral filtering**, and Lyapunov stability proofs. | โ€ข Graduate-level mathematics, physics, quantitative finance & operations research<br>โ€ข Convex optimization, optimal transport, spectral graph theory & PDE/SDE modeling<br>โ€ข Verifying symbolic equations and numerical stability invariants |
73
+ | ๐Ÿ”ฎ **[skeleton-forecast](https://huggingface.co/stealth-skeleton/skeleton-forecast)** | **Specialist Forecaster**<br>$1.50 / $6.00 per 1M<br>128K context, 32K max output | Applies **Romano Conformalized Quantile Regression (CQR)** (90.35% empirical coverage), **Gibbs-Candes Adaptive Conformal Inference (ACI)**, **Barber non-exchangeable conformal weights**, **Kadavath P(IK) epistemic shrinkage**, and **Satopaa-Tetlock log-odds extremizing** (0.0969 ForecastBench Brier). | โ€ข Calibrated probability estimation & risk modeling where raw LLMs are overconfident<br>โ€ข Time-series quantile intervals (80% / 90% conformal bounds) under distribution shift<br>โ€ข Quantitative decision support, calibration & proper scoring rule (Brier / CRPS) tasks |
74
+ | ๐Ÿ—ฃ๏ธ **[skeleton-council](https://huggingface.co/stealth-skeleton/skeleton-council)** | **Multi-Agent Arbiter**<br>$1.50 / $6.00 per 1M<br>128K context, 32K max output | Runs four orthogonal internal perspectives (**Architect**, **Skeptic**, **Pragmatist**, **Critic**) reconciled via **Cellular Sheaf Laplacian cohomology** and an **80-rule misleading-heuristic firewall** to reduce sycophancy and groupthink. | โ€ข High-stakes architecture reviews, security audits & go/no-go engineering decisions<br>โ€ข Red-teaming plans, detecting spurious correlations & stress-testing assumptions<br>โ€ข Final conjunction-gate arbitration before deploying code or capital |
75
+ | โšก **[skeleton-flash](https://huggingface.co/stealth-skeleton/skeleton-flash)** | **Low-Latency / High-Throughput**<br>$0.25 / $1.00 per 1M<br>128K context, 16K max output | Optimized for ultra-fast Time-to-First-Token (TTFT), hierarchical document tree traversal without lossy vector-chunk truncation, and high-concurrency extraction. | โ€ข Real-time chat, sub-second routing, classification & document extraction<br>โ€ข Large-corpus hierarchical RAG over books, PDFs, and codebases<br>โ€ข High-concurrency batch pipelines & subagent worker loops |
76
+
77
+ ### ๐Ÿงญ Quick decision guide: which model should I pick?
78
+
79
+ 1. **Want a free daily-driver for coding, agents, or tool use?** โ†’ use ๐Ÿ’€ [`stealth-skeleton/skeleton-alpha`](https://huggingface.co/stealth-skeleton/skeleton-alpha)
80
+ 2. **Need flagship coding + reasoning with strict Zero Data Retention (ZDR)?** โ†’ use ๐Ÿ‘‘ [`stealth-skeleton/skeleton-v1`](https://huggingface.co/stealth-skeleton/skeleton-v1)
81
+ 3. **Solving hard proofs, optimal transport, linear algebra, PDEs, or numerical optimization?** โ†’ use ๐Ÿ“ [`stealth-skeleton/skeleton-math-pro`](https://huggingface.co/stealth-skeleton/skeleton-math-pro)
82
+ 4. **Need calibrated probabilities, Brier/CRPS optimization, or conformal prediction intervals?** โ†’ use ๐Ÿ”ฎ [`stealth-skeleton/skeleton-forecast`](https://huggingface.co/stealth-skeleton/skeleton-forecast)
83
+ 5. **Need an adversarial 4-voice design/security review that will not rubber-stamp your idea?** โ†’ use ๐Ÿ—ฃ๏ธ [`stealth-skeleton/skeleton-council`](https://huggingface.co/stealth-skeleton/skeleton-council)
84
+ 6. **Need maximum speed and low cost for RAG, extraction, or high-volume worker loops?** โ†’ use โšก [`stealth-skeleton/skeleton-flash`](https://huggingface.co/stealth-skeleton/skeleton-flash)
85
+
86
+ ### ๐Ÿ‘€ The whole family at a glance
87
+
88
+ | Model | In one line |
89
+ |---|---|
90
+ | ๐Ÿ’€ [skeleton-alpha](https://huggingface.co/stealth-skeleton/skeleton-alpha) | Free. Fast. Execution-verified. |
91
+ | ๐Ÿ‘‘ **skeleton-v1** ๐Ÿ‘ˆ you are here | The flagship. Strict zero retention. |
92
+ | ๐Ÿ“ [skeleton-math-pro](https://huggingface.co/stealth-skeleton/skeleton-math-pro) | Graduate math, spectral filters, transport. |
93
+ | ๐Ÿ”ฎ [skeleton-forecast](https://huggingface.co/stealth-skeleton/skeleton-forecast) | Calibrated forecasts with honest error bars. |
94
+ | ๐Ÿ—ฃ๏ธ [skeleton-council](https://huggingface.co/stealth-skeleton/skeleton-council) | Four voices argue. A sheaf decides. |
95
+ | โšก [skeleton-flash](https://huggingface.co/stealth-skeleton/skeleton-flash) | Quick retrieval. No vector database. |
96
+
97
  ## ๐Ÿ”ฌ Under the hood
98
 
99
  - **Execution-verified mathematical operator synthesis**: generated operators are checked by running them.
 
103
  - **36th-order Hou-Li spectral filtering**.
104
  - **Auto-Exacto tool-calling grammar healing**: malformed tool-call JSON is repaired before it is returned.
105
 
106
+ ### The 3-pass stack
107
+
108
+ ```text
109
+ Pass 1 Pass 2 Pass 3
110
+ fast draft ---> chain-of-thought ---> operator-verified
111
+ critique synthesis
112
+ 43.75 78.52 86.12 (composite, self-reported)
113
+ ```
114
+
115
  All figures above are self-reported from internal tests.
116
 
117
  ## ๐Ÿ“Š Benchmarks: Internal 3-Pass Evaluation Suite (Self-Reported)
118
 
 
 
119
  | Suite | Score |
120
  |---|---|
121
  | MATH-500 | 92.00% |
 
127
  | ForecastBench (Proper Brier Skill) | 78.52% (0.0969 Brier) |
128
  | **Composite (mean of 7)** | **86.12 / 100** |
129
 
130
+ ### ๐ŸฅŠ Self-Reported 3-Pass Evaluation vs Published Peer Baselines
131
+
132
+ | Model | Composite (100-pt) | MATH-500 | GSM8K | HumanEval | GPQA-Diamond | MMLU-Pro | ForecastBench Brier (lower is better) | API Pricing (In / Out per 1M) |
133
+ |---|---:|---:|---:|---:|---:|---:|---:|---:|
134
+ | **stealth-skeleton/skeleton-v1 (3-Pass, Self-Reported)** | **86.12** | **92.0%** (85.0% slice) | **96.0%** (95.0% slice) | **92.0%** | **73.3%** (75.0% slice) | **86.0%** | **0.0969** | **$1.50 / $6.00** (skeleton-alpha: **Free**) |
135
+ | OpenAI o1 (Published Reference) | 87.54 | 94.8% | 96.4% | 92.4% | 75.7% | 81.0% | 0.1010 | $15.00 / $60.00 |
136
+ | DeepSeek-R1 (Published Reference) | 86.40 | 97.3% | 96.1% | 92.1% | 71.5% | 84.0% | 0.1090 | $0.55 / $2.19 |
137
+ | Claude 3.5 Sonnet (Oct, Published Reference) | 80.55 | 78.0% | 96.4% | 93.7% | 65.0% | 78.0% | 0.1040 | $3.00 / $15.00 |
138
+ | DeepSeek-V3 (Pass 2 Reference) | 78.52 | 90.2% | 90.0% | 89.0% | 59.1% | 75.9% | 0.1140 | $0.27 / $1.10 |
139
+ | GPT-4o (Published Reference) | 77.90 | 76.6% | 95.8% | 90.2% | 53.6% | 74.4% | 0.1180 | $2.50 / $10.00 |
140
+ | Qwen-2.5-7B (Pass 1 0-Shot Baseline) | 43.75 | 40.0% | 20.0% | 100.0% (20-item) | 25.0% | 55.0% (MMLU) | 0.2251 | $0.05 / $0.10 |
141
 
142
+ *How to read this:* the skeleton rows are **self-reported** from our internal 3-pass evaluation (N=145 external questions plus N=403 resolved ForecastBench questions, Wilson 95% confidence intervals). Peer rows are published reference values, or our own reference runs where labeled. Composite scores use our internal 100-point weighting and are not published by the peer vendors. Nothing here has been independently verified: please run your own evaluations. For Brier, lower is better. Prices are OpenRouter-listed prices at the time of writing and can change.
143
 
144
+ ## ๐Ÿš€ How to use the stealth-skeleton models
145
+
146
+ Model IDs: `stealth-skeleton/skeleton-alpha`, `skeleton-v1`, `skeleton-math-pro`, `skeleton-forecast`, `skeleton-council`, `skeleton-flash` via OpenRouter, once provider routing is active for your account. Swap the model ID in any example.
147
+
148
+ ### 1. Python (openai SDK via OpenRouter)
149
 
150
  ```python
151
  from openai import OpenAI
 
155
  api_key="<YOUR_OPENROUTER_API_KEY>",
156
  )
157
 
158
+ response = client.chat.completions.create(
159
  model="stealth-skeleton/skeleton-v1",
160
+ messages=[
161
+ {"role": "system", "content": "You are a rigorous mathematical and systems engineering assistant."},
162
+ {"role": "user", "content": "Review this system design for failure modes and propose a verified refactoring plan."},
163
+ ],
164
+ temperature=0.2,
165
+ max_tokens=4096,
166
+ stream=False,
167
  )
168
+
169
+ print(response.choices[0].message.content)
170
  ```
171
 
172
+ ### 2. Tool calling (Auto-Exacto grammar healing)
173
 
174
+ ```python
175
+ tools = [
176
+ {
177
+ "type": "function",
178
+ "function": {
179
+ "name": "verify_conservation_law",
180
+ "description": "Verify L1 marginal residual on a transport matrix.",
181
+ "parameters": {
182
+ "type": "object",
183
+ "properties": {
184
+ "matrix_dim": {"type": "integer"},
185
+ "epsilon": {"type": "number"},
186
+ },
187
+ "required": ["matrix_dim", "epsilon"],
188
+ },
189
+ },
190
+ }
191
+ ]
192
+
193
+ tool_resp = client.chat.completions.create(
194
+ model="stealth-skeleton/skeleton-v1",
195
+ messages=[{"role": "user", "content": "Run a 40-step conservation check on a 16x16 matrix with epsilon=0.15."}],
196
+ tools=tools,
197
+ tool_choice="auto",
198
+ )
199
+ print(tool_resp.choices[0].message.tool_calls)
200
+ ```
201
+
202
+ ### 3. TypeScript / Node.js
203
+
204
+ ```typescript
205
+ import OpenAI from "openai";
206
+
207
+ const client = new OpenAI({
208
+ baseURL: "https://openrouter.ai/api/v1",
209
+ apiKey: process.env.OPENROUTER_API_KEY,
210
+ });
211
+
212
+ const completion = await client.chat.completions.create({
213
+ model: "stealth-skeleton/skeleton-v1",
214
+ messages: [{ role: "user", content: "Review this system design for failure modes and propose a verified refactoring plan." }],
215
+ });
216
+
217
+ console.log(completion.choices[0]?.message?.content);
218
+ ```
219
+
220
+ ### 4. cURL
221
 
222
  ```bash
223
  curl https://openrouter.ai/api/v1/chat/completions \
 
224
  -H "Content-Type: application/json" \
225
+ -H "Authorization: Bearer <YOUR_OPENROUTER_API_KEY>" \
226
  -d '{
227
  "model": "stealth-skeleton/skeleton-v1",
228
+ "messages": [
229
+ {"role": "user", "content": "Hello, skeleton!"}
230
+ ],
231
+ "temperature": 0.1
232
  }'
233
  ```
234
 
235
+ ### 5. OpenCode, Cline, Roo Code, Kilo Code & Aider
236
 
237
  <details>
238
+ <summary><b>OpenCode (opencode.json)</b></summary>
239
 
240
  ```json
241
  {
 
252
 
253
  </details>
254
 
255
+ <details>
256
+ <summary><b>Cline / Roo Code / Kilo Code</b></summary>
257
 
258
+ Set the API Provider to **OpenRouter**, enter your OpenRouter key, and pick `stealth-skeleton/skeleton-v1` as the model.
259
+
260
+ </details>
261
+
262
+ <details>
263
+ <summary><b>Aider</b></summary>
264
+
265
+ ```bash
266
+ aider --model openrouter/stealth-skeleton/skeleton-v1
267
+ ```
268
+
269
+ </details>
270
 
271
  ## ๐Ÿ”’ Data & Privacy
272
 
 
274
 
275
  ## โš ๏ธ Limitations
276
 
277
+ - Behavior, limits, prices and availability may change without notice.
278
  - Benchmarks are self-reported only; validate on your own workloads.
279
  - Not intended for safety-critical, medical, legal or financial decisions.
config.json CHANGED
@@ -4,7 +4,13 @@
4
  "organization": "Stealth-Skeleton Research",
5
  "interface": "openai-compatible-chat-completions",
6
  "weights_available": false,
 
7
  "context_length": 131072,
8
  "max_output_tokens": 32768,
 
 
 
 
 
9
  "data_policy": "zero-data-retention"
10
  }
 
4
  "organization": "Stealth-Skeleton Research",
5
  "interface": "openai-compatible-chat-completions",
6
  "weights_available": false,
7
+ "tier": "Flagship Production",
8
  "context_length": 131072,
9
  "max_output_tokens": 32768,
10
+ "pricing_usd_per_1m_tokens": {
11
+ "input": 1.5,
12
+ "output": 6,
13
+ "cache_read": 0.3
14
+ },
15
  "data_policy": "zero-data-retention"
16
  }