Claude Opus 4.7 vs R1 0528

In our 12-test suite the two models tie on most categories but trade clear wins where it matters. Ties (both score the same): tool calling (5/5, tied for 1st with 17 others), agentic planning (5/5, tied for 1st), faithfulness (5/5, tied for 1st), long context (5/5, tied for 1st), persona consistency (5/5, tied for 1st), structured output (4/4, rank 26 of 55), and constrained rewriting (4/4, rank 6 of 55). Claude Opus 4.7 wins creative problem solving (5 vs 4) and strategic analysis (5 vs 4) — in our testing Claude is tied for 1st on those tests while R1 ranks lower (creative problem solving rank 10; strategic analysis rank 28), which translates to measurably stronger non-obvious idea generation and nuanced tradeoff reasoning for real tasks. R1 0528 wins classification (4 vs 3), safety calibration (4 vs 3), and multilingual (5 vs 4) — R1 ranks tied for 1st on classification and multilingual and ranks 6 of 56 on safety calibration, so it's better in routing/labeling tasks, refusal calibration, and non‑English outputs. Additional third‑party context: R1 scores 96.6% on MATH Level 5 (Epoch AI) and 66.4% on AIME 2025 (Epoch AI), which supports its strong math performance; Claude Opus 4.7 has no external Epoch AI scores in the payload. Note R1 has operational quirks in the payload: it may return empty responses on structured output, constrained rewriting, and agentic planning and uses reasoning tokens that consume output budget — these affect short structured tasks and cost accounting.

Pricing is a decisive gap. Claude Opus 4.7 charges $5 per million input tokens and $25 per million output tokens; R1 0528 charges $0.50 and $2.15 respectively. If you send 1M input + 1M output tokens/month, Claude = $30.00/month, R1 = $2.65/month. At 10M input + 10M output: Claude = $300.00, R1 = $26.50. At 100M + 100M: Claude = $3,000.00, R1 = $265.00. For a 50/50 split of a 1M total tokens scenario (0.5M input + 0.5M output): Claude = $15.00; R1 = $1.325. The cost gap matters if you operate at scale or have many low-margin requests — R1 reduces model spend by an order of magnitude. If your product requires the specific 5/5 strengths Claude shows (strategic analysis, creative problem solving), budget for the premium; otherwise R1 provides far better price-to-performance for routing, safety, multilingual, and math-heavy tasks.

Choose Claude Opus 4.7 if you prioritize highest-ranked strategic reasoning and creative problem solving (it scores 5/5 on both in our tests), long-context and persona-sensitive agentic workflows, and you can absorb the premium price (~$5/$25 per million input/output). Choose R1 0528 if you need classification, safety-calibrated responses, multilingual parity, or math strength (R1: classification 4 vs Opus 3; safety 4 vs 3; multilingual 5 vs 4; MATH Level 5 96.6% per Epoch AI), or if you must minimize inference spend — R1 is ~11.6× cheaper on per-million-token pricing.