Claude Opus 4.6 vs Grok Code Fast 1

Head-to-head summary (our 12-test suite, scores 1–5):

• Wins for Claude Opus 4.6 (8 tests): strategic_analysis 5 vs 3 (Claude tied for 1st of 54), creative_problem_solving 5 vs 3 (Claude tied for 1st), tool_calling 5 vs 4 (Claude tied for 1st of 54; Grok rank 18/54), faithfulness 5 vs 4 (Claude tied for 1st of 55; Grok rank 34/55), long_context 5 vs 4 (Claude tied for 1st of 55; Grok rank 38/55), safety_calibration 5 vs 2 (Claude tied for 1st of 55), persona_consistency 5 vs 4 (Claude tied for 1st of 53), multilingual 5 vs 4 (Claude tied for 1st of 55). These wins indicate Opus 4.6 is substantially better at function selection/sequencing (tool_calling), handling 30K+ token retrievals (long_context), and refusing or permitting appropriately (safety_calibration) per our benchmark descriptions.
• Win for Grok Code Fast 1 (1 test): classification 4 vs 3 (Grok tied for 1st with 29 others out of 53). That signals Grok is slightly stronger at routing/categorization tasks in our tests.
• Ties (3 tests): agentic_planning 5–5 (both tied for 1st), structured_output 4–4 (both at rank 26/54), constrained_rewriting 3–3 (both rank 31/53). External benchmarks (supplementary): Claude Opus 4.6 scores 78.7 on SWE-bench Verified (Epoch AI), ranking 1 of 12 in the provided external set — reinforcing its coding strength; Opus also scores 94.4 on AIME 2025 (Epoch AI), ranking 4 of 23. Grok Code Fast 1 has no external scores in the payload. Practical meaning: expect Opus 4.6 to produce more faithful, safer, and longer-context-aware outputs for complex coding/agent workflows; expect Grok to be cost-efficient and competitive on classification and fast developer feedback, including visible reasoning traces (quirk: uses_reasoning_tokens=true).

Raw billing: Claude Opus 4.6 charges $5 per 1k input tokens and $25 per 1k output tokens; Grok Code Fast 1 charges $0.20 per 1k input and $1.50 per 1k output. At common volumes (assuming a 50/50 input/output split):

• 1M tokens/month: Claude ≈ $15,000; Grok ≈ $850.
• 10M tokens/month: Claude ≈ $150,000; Grok ≈ $8,500.
• 100M tokens/month: Claude ≈ $1,500,000; Grok ≈ $85,000. Those totals come from multiplying per-1k prices by 1,000/10,000/100,000 mTok and splitting input/output equally (explicit split assumption). The priceRatio in the payload is ~16.67×; at scale that multiplies infrastructure and inference budgets. Teams with high throughput or tight margins should prefer Grok for cost; teams that need Opus 4.6’s higher scores on tool calling, long-context, and safety must budget substantially more.

Choose Claude Opus 4.6 if you need: high-fidelity coding, long-context retrieval at 30K+ tokens, strong tool-calling and safety calibration (Opus wins 8 of 12 tests and tops SWE-bench Verified at 78.7, Epoch AI). Choose Grok Code Fast 1 if you need: an economical model for high-throughput or budget-constrained deployments, visible reasoning traces, or slightly better classification (Grok classification 4 vs Opus 3 and input/output $0.20/$1.50 vs $5/$25 per 1k tokens). If your product processes tens of millions of tokens monthly and can tolerate a performance gap on tool calling and long context, Grok saves an order of magnitude on cost; if correctness, safety, and deep context are business-critical, plan to absorb Opus’s higher costs.