Social & Promotional Content: Route by Task, Not by Model Name

The quality bar is task-specific

The supplied evidence does not state how many tasks are in the Social & Promotional Content category or how many models are measured across them. It also does not define a single category-wide quality threshold. The defensible production bar is therefore task-specific: choose the highest-quality option that also returns usable responses within the workflow’s cost and latency constraints. A headline score without a dependable response is not sufficient for production.

The results do not support a single best model for all social and promotional work. The strongest choice changes with the job: broad social promotion, promotional-post generation, activity promotion, newsletters, voice-aware writing, X messaging, Reddit posts, and theme generation produce materially different trade-offs.

Strong results across promotional work

For broad social promotion, gpt-5.6-sol scores 8.2 out of 10 at $0.0081 per batch run, compared with $0.02 synchronously; its batch price is described as 58% less [^4]. gpt-5.6-terra is also strong across several reported workflows, scoring 8.46 on social promotional posts, 8.33 on short activity promotions, and 8.17 on engagement replies [^4] [^1] [^5]. Those cross-task results make gpt-5.6-sol or gpt-5.6-terra reasonable defaults when one model must cover several demanding forms of social content rather than just one narrow task.

For the measured promotional-post task, gpt-5.6-luna matches gpt-5.5 at 8.56 out of 10, while its stated synchronous cost is $0.0012 per run. gpt-5.5 scores 8.56 for promotional-post generation and 8.2 for promotional social posts, at $0.0059 and $0.0072 per batch run respectively [^4] [^1] [^4]. This makes gpt-5.6-luna attractive when the promotional-post result is sufficient and synchronous cost matters, but it does not establish Luna as the category-wide winner.

Other promotional-post comparisons also show credible lower-cost choices. meta/muse-spark-1.1 records the highest stated score in that lower-cost group at 8.81 out of 10 and $0.01 per run. deepseek-v4-pro scores 8.21 at $0.004 per run, and thinkingmachines/inkling-small scores 8.14 at $0.0042 per run [^4]. By contrast, grok-4.5 scores 8.23 at $0.02 per synchronous run, ahead of claude-sonnet-5 at 7.63 in batch mode, claude-haiku-4-5 at 7.18 synchronously, and gpt-5.4-nano at 7.47 synchronously [^4]. The numbers suggest that grok-4.5 is stronger than those three alternatives on this particular promotional-post result, while meta/muse-spark-1.1 has the highest score among the cited lower-cost options.

Activity promotion is a particularly strong use case for tencent/hy3. It scores 8.72 out of 10, with a stated ±0.1 interval, at $0.0004 per synchronous task run [^1]. The same model scores 8.48 for capturing an author’s voice, 8.52 for newsletter writing, and 8.19 for theme generation, at $0.0007, $0.0003, and $0.0019 respectively [^8] [^10] [^9]. These results make tencent/hy3 the clearest low-cost routing choice for those measured tasks when its quality and response reliability are sufficient.

Mixed results and task-level disagreements

The category-level picture changes sharply for X messaging. grok-4.5 scores 7.97 out of 10, with ±0.08, at $0.34 per task run; tencent/hy3 scores 6.6, with ±0.48, at $0.0036, and deepseek-v4-pro scores 6.7, with ±0.35, at $0.02 [^3]. Grok-4.5 therefore leads on the reported X-message quality score, but it answers only 14% of attempts. Tencent/hy3 answers 86% for activity promotions and 82% for Reddit posts [^3] [^1] [^7]. In production, grok-4.5 is defensible for X messaging only when its 7.97 quality result justifies $0.34 per run and the unanswered calls can be retried or otherwise handled; tencent/hy3 is the more practical choice when cost and first-pass availability matter more than the X-specific quality score.

Reddit-post generation produces another disagreement. tencent/hy3 is weak on automated Reddit posts at 7.13 out of 10, with ±0.27, and $0.0037 per run [^7]. Qwen3.7-Plus scores 8.04, with ±0.26, at $0.0098 for a lower-cost synchronous option [^7]. Claude Sonnet 5 scores 8.37 on the same result, but its measured cost is $0.08 per task run in batch mode, so the prices are not directly comparable [^7]. Kimi-k3 reaches 8.56 at $0.11 per synchronous run, compared with Claude Haiku 4.5 at 7.61 and $0.06 [^7]. The higher-scoring options therefore carry substantially different costs and operating modes rather than forming a simple ranking.

Claude Sonnet 5’s other results reinforce the need to include response availability in the quality bar. It scores 8.74 on activity promotion, 8.37 on Reddit-post drafting, and 8.8 on publication-title synthesis, but its usable response rates are 49%, 32%, and 21% respectively [^1] [^7] [^2]. Its 9.51 score for section generation is accompanied by a 5% response rate [^6]. That is the highest stated score in the supplied evidence, but it is not a production-quality victory when almost all attempts fail to yield a usable response. Claude Haiku 4.5 likewise scores 7.32 for engagement replies while answering 39% of attempts [^5].

Cost, quality, and the absence of a universal cheapest winner

The evidence cannot identify one cheapest model that clears a universal category-wide quality bar, because no such bar is supplied and the cost figures cover different tasks and execution modes. Comparing a $0.0004 activity-promotion run with a $0.34 X-message run, for example, would not measure the same job. Batch and synchronous prices also appear together, so they should not be treated as interchangeable.

Within individual tasks, however, the trade-offs are clear. tencent/hy3 is the cheapest cited strong option for activity promotion at $0.0004 and 8.72 quality [^1]. For voice-aware writing, newsletters, and theme generation, it combines low stated costs with scores of 8.48, 8.52, and 8.19 respectively [^8] [^10] [^9]. For promotional posts, meta/muse-spark-1.1 has the highest cited score among the lower-cost alternatives at 8.81 and $0.01, while thinkingmachines/inkling-small is cheaper at $0.0042 but scores 8.14 [^4]. The evidence therefore supports a task-level cheapest-acceptable choice, not a single category-wide one.

The same limitation prevents a meaningful overall “best-versus-cheapest” gap. The largest directly stated quality spread in a comparable task is between grok-4.5’s 7.97 on X messaging and tencent/hy3’s 6.6, a difference of 1.37 quality points, while the stated costs are $0.34 and $0.0036 respectively [^3]. That is a task-specific comparison, not a category-wide cost or quality gap. On promotional posts, meta/muse-spark-1.1’s 8.81 at $0.01 can be compared with thinkingmachines/inkling-small’s 8.14 at $0.0042, a 0.67-point quality difference, but again only within that reported task comparison [^4].

Models that are not competitive in particular routes

Several measured models are not competitive for specific jobs. Claude Sonnet 5 is hard to justify for the reported promotional-post result against grok-4.5 because it scores 7.63 versus 8.23 while costing $0.0046 in batch mode versus grok-4.5’s $0.02 synchronously; the execution modes prevent a pure price comparison, but the quality result still favors grok-4.5 [^4]. Sonnet 5 is also operationally weak where its usable response rates fall to 49%, 32%, 21%, or 5%, despite high nominal quality scores [^1] [^7] [^2] [^6].

Claude Haiku 4.5 is not competitive on the cited promotional-post and engagement-reply results: it scores 7.18 on promotional posts and 7.32 on engagement replies while answering only 39% of engagement-reply attempts [^4] [^5]. gpt-5.4-nano scores 7.47 on the promotional-post comparison, below grok-4.5’s 8.23 [^4]. Tencent/hy3 should not be used as a universal social-content default either: its strong activity, newsletter, voice, and theme results coexist with a 7.13 Reddit-post score and a 6.6 X-message score [^1] [^8] [^10] [^9] [^7] [^3].

Routing conclusion

Use gpt-5.6-sol or gpt-5.6-terra when one model must cover several demanding social and promotional workflows. Route activity promotions, voice-aware writing, newsletters, and theme generation to tencent/hy3 when its measured quality and answer rates meet the workflow’s bar. For promotional posts, prefer meta/muse-spark-1.1 when its 8.81 result is worth the $0.01 run, or thinkingmachines/inkling-small when the lower $0.0042 cost is more important and 8.14 is sufficient. For X messaging, use grok-4.5 only when its 7.97 score and $0.34 cost justify its 14% answer rate; otherwise use tencent/hy3. For Reddit posts, use Qwen3.7-Plus for the lower-cost synchronous route, Claude Sonnet 5 when its higher stated score and low usable-response rates are acceptable, or Kimi-k3 when 8.56 quality justifies $0.11 per synchronous run [^7].

Routing rule: route each task independently—tencent/hy3 for activity promotion, voice, newsletters, and themes; meta/muse-spark-1.1 or thinkingmachines/inkling-small for promotional posts according to the quality-cost trade-off; grok-4.5 for X messaging only if its quality and low answer rate are acceptable; and Qwen3.7-Plus, Claude Sonnet 5, or Kimi-k3 for Reddit posts according to the required quality, cost, and response reliability.

The live benchmark at https://llm-bench.kapualabs.com/ lets you set the quality bar your workflow actually needs and compare the relevant task results. Use it to compare batch against sync pricing yourself before committing a production route.