Why a Side-by-Side Comparison of Claude Opus 4 and Grok 4 Matters
Once you've narrowed a model shortlist on the main TokenRate calculator, the Compare Prices side-by-side view is where you stack them for a decision. Each row shows the provider, the model ID (the one you'd paste into your SDK), per-1M input and output costs, the context window, and the blended quality score. For Claude Opus 4 vs Grok 4, the side-by-side framing matters because both models sit near the same workload niche — one of you ships the wrong pick and the bill (or quality regression) is months of pain. Claude Opus 4 runs $15.00 / $75.00 per 1M tokens with a 200K context and a blended quality score of 85. Grok 4 runs $3.00 / $15.00 per 1M with a 256K context and quality 79. Sticker prices don't tell the whole story — the Value column (quality ÷ input cost) gives Claude Opus 4 a 5.7 and Grok 4 a 26.3, which is the number you actually want to optimize when shipping production traffic. For the underlying math, see tokens-to-dollars conversion; for routing strategy see multi-model routing with quality scores.
Claude Opus 4 in the Compare Prices Grid
In the Compare Prices view, click the **Anthropic** dropdown and check **Claude Opus 4**. The row shows input at $15.00/1M, output at $75.00/1M, 200K context, and the blended quality badge at 85. Claude Opus 4 sits in TokenRate's **flagship** tier — flagship tier is for frontier-quality use cases where the per-token price is a rounding error against the value of the output. The output-to-input ratio of 5.0x is worth flagging because generation-heavy workloads (long summaries, code, structured output) compound that multiplier across every reply. For a single-shot classifier the input price dominates; for an agent generating ~10× the tokens it reads, you're effectively paying $75.00 per 1M.
Grok 4 in the Compare Prices Grid
Add **Grok 4** from the **xAI** dropdown. The grid lists input $3.00/1M, output $15.00/1M, 256K context, quality 79, tier **flagship**. flagship tier is for frontier-quality use cases where the per-token price is a rounding error against the value of the output. Compared to Claude Opus 4, Grok 4 is cheaper on input (by 80%) and lower on quality (by 6 points). Context-window-wise, Grok 4 gives you 1.3× the headroom.
Where Claude Opus 4 Wins and Where Grok 4 Wins
**Grok 4 wins on raw cost** ($3.00 vs $15.00 input — about 5.0× cheaper) — so it's the right pick for high-volume features where the model is fungible across the chosen tier. **Claude Opus 4 wins on quality** (85 vs 79) — important when you're routing reasoning-heavy or accuracy-critical traffic. **Grok 4 wins on Value** (26.3 vs 5.7) — meaning per dollar of input you get more quality-adjusted output, which is what the Value column optimizes for. For long-context tasks (codebase QA, document analysis), Grok 4's 256K window wins outright.
Decision Heuristics and What to Do Next
Three heuristics: (1) if your monthly bill on the pricier option exceeds 4× your engineering team's comfort and the cheaper option's quality is within 5 points — ship the cheaper one and pocket the savings. (2) if the workload is reasoning-heavy or customer-facing premium, pay the quality premium even when the Value column says otherwise. (3) hedge: route 80–90% of traffic to the cheaper model and fall back to the pricier one for tail-quality cases. The fallback router pattern works because output-cost only matters when you actually call it. For the routing implementation, see multi-model routing with quality scores. Both the price denominator (OpenRouter) and the quality numerator (Arena AI + Artificial Analysis) refresh hourly. So the comparison you screenshot Monday morning is still trustworthy at standup Tuesday morning — but you should re-run it before a quarterly model-routing review.