Claude Opus 4.6 vs Grok 3

We ran a 12-test suite and compared per-test scores and ranks. Summary (scores out of 5 unless noted):

• Claude Opus 4.6 wins: creative_problem_solving 5 vs Grok 3's 3 (Claude tied for 1st among 54), tool_calling 5 vs 4 (Claude tied for 1st of 54; Grok ranks 18th of 54), safety_calibration 5 vs 2 (Claude tied for 1st of 55; Grok rank 12 of 55). These wins matter for non-obvious idea generation, reliable function/agent orchestration, and refusing harmful requests while permitting legitimate ones.
• Grok 3 wins: structured_output 5 vs Claude's 4 (Grok tied for 1st of 54; Claude rank 26 of 54) and classification 4 vs Claude's 3 (Grok tied for 1st of 53; Claude rank 31 of 53). That translates into better JSON/schema compliance and routing/categorization in our tests.
• Ties (both models scored the same): strategic_analysis 5, agentic_planning 5, faithfulness 5, long_context 5, persona_consistency 5, constrained_rewriting 3, multilingual 5. Notably both models tied for 1st on multiple high-level capabilities: strategic_analysis, agentic_planning, faithfulness, long_context, and multilingual — indicating both handle long contexts, cross-language tasks, and goal decomposition at top-tier levels in our corpus.
• External benchmarks: Beyond our internal tests, Claude Opus 4.6 scores 78.7% on SWE-bench Verified (Epoch AI) and 94.4% on AIME 2025 (Epoch AI); on SWE-bench Verified Claude ranks 1 of 12 in our sample. Grok 3 has no external benchmark scores in the payload to cite. Interpretation for tasks: choose Claude when you need the safest agentic flows, best tool selection/argument sequencing, or stronger creative solutions; choose Grok when strict schema adherence and classification accuracy (and lower cost) are paramount.

Pricing (per mTok): Claude Opus 4.6 input $5 / output $25; Grok 3 input $3 / output $15. Interpreting mTok as 1,000-token units, per‑1M tokens that equals: Claude input $5,000 / output $25,000; Grok input $3,000 / output $15,000. For a balanced 50/50 usage (0.5M input + 0.5M output per 1M tokens): Claude = $15,000/month; Grok = $9,000/month (Claude costs $6,000 more). Scale that linearly: at 10M balanced tokens/month Claude ≈ $150,000 vs Grok ≈ $90,000 (difference $60,000); at 100M balanced tokens/month Claude ≈ $1,500,000 vs Grok ≈ $900,000 (difference $600,000). Who should care: teams operating at >1M tokens/month or with output-heavy workloads (where output rate dominates) will see the largest absolute dollar gap; smaller projects and cost-sensitive production inference (summaries, structured extraction) will favor Grok 3.

Choose Claude Opus 4.6 if: you build agentic or multi-step workflows, need best-in-test tool-calling and safety calibration (Claude scores 5 on both), require top coding/benchmark performance (78.7% on SWE-bench Verified and 94.4% on AIME 2025, Epoch AI), and can absorb higher runtime costs. Choose Grok 3 if: you need cheaper inference (input/output rates are $3/$15 per mTok), rely on robust structured-output and classification in production (Grok scores 5 and 4 respectively), or operate at large volumes where cost per token is a decisive factor.