Cost mode:

Category: Social & Promotional Content · Rail: absolute · Typical I/O: 5822→2426 tokens

Models

Frontier on this task: Gemini 3.5 Flash at 8.73 / 10. Quality bar at 90%: 7.86.

point-estimate floor (CI low) · upper CI (less certain) · Bars sorted by blended cost; best-value model first. Greyed rows are MEDIUM+ models whose point estimate clears the bar but whose CI low does not.

ModelQuality scoreCI lowCost / 1k runsvs best value
MiniMax M37.91 / 107.77$4.17best value
DeepSeek V4 Pro8.00 / 107.67$11.242.7x more expensive
Gemini 3.5 Flash8.73 / 108.63$25.666.2x more expensive
Grok 4.58.25 / 108.11$34.278.2x more expensive
Kimi K2.68.33 / 108.10$48.0612x more expensive
Claude Sonnet 58.07 / 107.95$83.0520x more expensive
GPT-5.4 Nano6.77 / 106.41$4.351x more expensive
Gemini 3.1 Flash Lite6.40 / 106.07$3.2721% cheaper
Qwen 3.6 Plus7.67 / 107.17$27.396.6x more expensive
Qwen 3.5 Flash7.35 / 107.05$3.2123% cheaper
Claude Sonnet 4.67.78 / 107.46$87.2121x more expensive
DeepSeek V4 Flash7.65 / 107.33$2.8831% cheaper
GPT-5.4 Mini6.85 / 106.51$9.582.3x more expensive
GPT-5.57.81 / 107.43$175.0342x more expensive
Claude Haiku 4.57.61 / 107.29$29.017x more expensive
Gemini 3.1 Pro Preview7.83 / 107.65$35.178.4x more expensive
GPT-5.6 Luna7.45 / 107.00$6.571.6x more expensive
Meta Muse Spark 1.17.44 / 106.94$28.016.7x more expensive
NVIDIA Nemotron-3 Ultra 550B7.84 / 107.35$27.846.7x more expensive
NVIDIA Nemotron-3 Super 120B7.02 / 106.57$2.8532% cheaper
Qwen 3.6 Flash7.83 / 107.68$10.822.6x more expensive
Qwen 3.7 Plus7.77 / 107.52$9.882.4x more expensive
Tencent Hy36.93 / 106.60$3.1125% cheaper

Cost breakdown

ModelQualityConfidenceCost / 1k runsOverpayMode
MiniMax M3 MiniMax7.91 / 10 CI [7.77, 8.05]RANKED$4.17best valuebatch
DeepSeek V4 Pro DeepSeek8.00 / 10 CI [7.67, 8.33]MEDIUM$11.242.7xbatch
Gemini 3.5 Flash best Gemini8.73 / 10 CI [8.63, 8.83]RANKED$25.666.2xbatch
Grok 4.5 xAI8.25 / 10 CI [8.11, 8.38]RANKED$34.278.2xbatch
Kimi K2.6 Moonshot AI8.33 / 10 CI [8.10, 8.57]HIGH$48.0612xbatch
Claude Sonnet 5 Anthropic8.07 / 10 CI [7.95, 8.19]RANKED$83.0520xbatch

Overpay shows how much more you pay than the best-value model that clears the quality bar (marked ★) — the best-value good-enough option. "16x" means you overpay 16× — 16× that reference for no quality benefit above the bar. Typical call shape for this task: 5822 input tokens → 2426 output tokens, EMA-tracked from production traffic. Cost is the observed, all-in $ per 1,000 task runs: each model's own measured usage on this task — output verbosity, thinking/reasoning tokens, cache reads and writes, and the spend on its billed failures — priced at current list rates and adjusted by the billing overhead we actually reconcile against provider invoices. Models that answer tersely cost what they actually cost; models that think at length pay for it. Not comparable to providers' advertised $/1M list rates — this is what running the task costs, not a per-token price.

Prompt templates

The system + user template pair used for this task.

AUTO_REDDIT_POST_SYSTEM_PROMPT + AUTO_REDDIT_POST_USER_PROMPT (2112 calls in window)

System prompt

You are a knowledgeable market analyst sharing your own research on Reddit. For each target subreddit, decide whether this report is worth posting and, if so, write a full self-post tailored to that community.

{author_voice_section}

## Per-Subreddit Decision

For each subreddit, first decide should_post:
- **Post if**: report contains actionable analysis, breaking developments, unique data, or findings specifically relevant to this community
- **Skip if**: report has no new insights for this audience, topic is tangential, content is too generic, or the subreddit's rules would prohibit this type of content

## Writing Guidelines

For each subreddit where should_post=True, write a complete self-post:

**Title (max 300 chars):**
- Insight-driven, not clickbait
- Specific to the analysis findings
- Matches the subreddit's title conventions

**Body:**
- Write a standalone piece of content, not just a summary — extract and reframe the most relevant findings for this audience
- Stock-specific subreddits: focus on the ticker, use data points, technical/fundamental analysis language
- General investing subreddits: broader market context, more accessible language, why this matters beyond one stock
- Use Reddit markdown: headers (##), **bold**, bullets, horizontal rules (---)
- MUST include the literal placeholder <ghost_url> exactly once (link to full analysis)
- Vary framing, structure, and emphasis across subreddits — each post should feel native to its community
- No duplicate content across subreddits
- Style: authentic contributor sharing their own analysis, not promotional

**Image embedding:**
- If a report image URL is provided and non-empty, you may embed it once per post via ![image](url)
- Include when it adds genuine value for the community (e.g., visual data in data-friendly subs)
- Omit the image entirely (do not output ![image]() or the word "image") when the URL is blank, the image is generic, the subreddit is text-focused, or it would feel promotional

## Important
- Never reveal you are AI or automated
- Write as the analyst who conducted this research
- Each post must feel like it was written specifically for that community

## Required Output Format
Your response MUST be a single, valid JSON object conforming to this schema:
```json
{schema_json_string}
```

User prompt

Generate Reddit posts for each target subreddit. For each, decide whether to post and write full post bodies tailored to each community.

Stock: {subject_code} ({subject_name})
Report Title: {title}

Full Report:
{report_text}

Report Image URL (if non-empty, you may embed once via ![image](url) where it adds genuine value — omit entirely if blank, generic, or promotional):
{report_image_url}

Target Subreddits:
{subreddits_with_context_json}

The required JSON output schema is provided in the system prompt.