Content Moderation: The Right Question Isn't "Which Model"
TokenRate's new Compare Prices grid puts every model's per-token rates, context window, and quality score in a single side-by-side view. The point: stop flipping between provider pricing pages and OpenRouter tabs. You pick a provider dropdown, check the models you want, repeat for each provider, and the grid stacks every pick into one comparison table. For Content Moderation the picking decision usually defaults to "use the model my last project used" — which is roughly the worst possible heuristic in 2026, because the price-quality frontier has shifted three times in the past year. The right question is "which combination of price tier, context length, and quality score fits Content Moderation traffic patterns?" The Compare Prices grid is built for that question. This guide walks through three picks for Content Moderation and shows how to grid them. For the underlying math, see tokens-to-dollars conversion; for routing strategy see multi-model routing with quality scores.
The Workload Profile of Content Moderation
Content Moderation workloads have a few distinguishing characteristics: high-volume binary or multi-label classification, short outputs, latency-sensitive at scale; cost per call dominates because volume is huge; quality has to clear a labeler-comparable floor. That profile tells you which columns of the Compare Prices grid matter most. Input cost first (volume × input dominates the bill), then output cost (replies are short so this matters less), then quality (must clear a brand-safety floor). It also tells you which tier you should be in. For most Content Moderation traffic, the Balanced tier is the production default — quality high enough to ship to real users at scale, price low enough to make the unit economics work.
Top Pick: Claude Haiku 4.5
For Content Moderation, Claude Haiku 4.5 is the default candidate. Pricing: $1.00 input / $5.00 output per 1M tokens. Context: 200K. Quality score: 65. Tier: fast. Why it wins: highest Value (quality / input cost) for high-volume binary classification at moderation scale. Add it to the Compare Prices grid and the Value column makes the case visually (65 quality per dollar of input cost). Where it loses: on nuanced moderation decisions that need flagship-tier reasoning.
Runner-Ups and When to Pick Them
**Gemini 2.5 Flash** ($0.300 / $2.50, Q68) — pick this when traffic volume is high enough that the per-token savings dominate ($0.300 input is hard to beat). **GPT-5 mini** ($0.300 / $2.40, Q70) — pick this when you want the production-default balance of quality (70) and price ($0.300 input). All three live in the same Compare Prices view so the comparison is one screen, not three browser tabs. For workload-specific cost modeling, run your token volume through /tools/api-cost-estimator.
Compare-Prices Workflow for Content Moderation
Workflow: (1) open /tools/compare-prices, (2) check the three picks across their provider dropdowns, (3) sort the resulting grid by Value column, (4) shortlist the top 1-2, (5) run an A/B against your real Content Moderation traffic for a week. The shortlisting step is where 90% of the time savings happen — the grid eliminates obvious losers (low quality, wrong context, output-cost surprises) in seconds. The grid pulls prices live from OpenRouter and quality from a blended Arena AI + Artificial Analysis pipeline — both refresh on a 60-minute incremental cache, so the comparison reflects current rates not a baked-in snapshot. Open /tools/compare-prices now, pick your provider dropdowns, and pin the shortlist that matches your workload.