Claude Opus 4.7
Editor's pick: Use when the task is hard enough to justify Opus cost
Claude Sonnet 4.6 is the best LLM for coding assistant / dev tools in April 2026, followed by Claude Opus 4.7 and GLM-5.1. Rankings reflect real benchmarks, pricing, and compliance for a typical coding assistant / dev tools workload; see the breakdown below or take the quiz for a pick tailored to your volume and constraints. Last verified 2026-04-19.
Editor's pick: Use when the task is hard enough to justify Opus cost
Editor's pick: #1 on SWE-Bench Pro at $1/$3.20 per 1M — cheapest frontier coder
Editor's pick: Best price/performance for fill-in-the-middle and IDE completion
Editor's pick: Strong all-rounder; unifies GPT + Codex lines
Expand any question for the full answer. Last reviewed 2026-04-19.
Claude Sonnet 4.6 is the best LLM for coding assistant / dev tools in April 2026, followed by Claude Opus 4.7 and GLM-5.1. The ranking is based on benchmarks relevant to coding assistant / dev tools — instruction following, reasoning, tool use where applicable — combined with cost at a typical production volume and caching behavior. All picks are verified against arena.ai/leaderboard and the provider's published pricing as of 2026-04-19.
Codestral 25.08 is the cheapest credible option for coding assistant / dev tools at $0.30 / $0.90 per 1M, coming in at roughly $162.00/month at typical volume. This model does not support prompt caching, so list price is the full cost.
Yes — GLM-5.1, Codestral 25.08 all offer a free tier usable for prototyping coding assistant / dev tools workloads. Free tiers have rate limits and daily quotas, so they're fine for validation but not production. See the model pages for exact quotas.
Claude Sonnet 4.6 is the top Anthropic pick, GPT-5.4 is the top OpenAI pick. For coding assistant / dev tools workloads in April 2026, Claude Sonnet 4.6 ranks first overall in our picker. The gap between top picks is small — you should pick primarily on API ergonomics, deployment region, and caching behavior rather than raw benchmark score.
Rankings combine (1) benchmark scores weighted by what matters for coding assistant / dev tools — for example coding benchmarks dominate for coding, long-context retrieval dominates for RAG and long documents, (2) cost at a typical production volume, (3) speed and latency tier, (4) ergonomics like prompt caching and structured output, (5) recency of release, and (6) a curated editorial boost for provider-specific strengths that generic benchmarks miss (e.g. Gemini's advantage on maps and geospatial tasks). Every rank shows its exact score breakdown on the quiz result page.