AI Model Ranking
Snapshot: 2026-07-17 · Last reviewed: 2026-07-19
Metrics follow a snapshot of the Artificial Analysis public LLM leaderboard: Intelligence Index, pricing, and speed reflect benchmark performance at the snapshot date, not a hands-on coding review by DevCove. Provider pricing, availability, and rankings change frequently, and a high benchmark score does not guarantee the best result for a specific codebase or workflow.
Current reasoning model
Still the highest Intelligence Index in the snapshot, with a 1M context window.
Best for: Deep repository analysis, complex planning, and high-value agent tasks where latency is acceptable.
Current reasoning model
New GPT-5.6 Sol tier at the top of OpenAI's reasoning lineup in this snapshot.
Best for: OpenAI-centered coding agents, long-context planning, and max-reasoning software tasks.
Current reasoning model
High-reasoning GPT-5.6 Sol mode with 1M context and much lower latency than max.
Best for: Daily agent coding, code review, and tool-heavy workflows that still need strong reasoning.
Current reasoning model
Moonshot's new 2.8T MoE flagship with 1M+ context, strong coding scores, and low first-chunk latency.
Best for: Long-horizon coding agents, frontend generation, regional API stacks, and cost-aware 1M context work.
Current reasoning model
Balanced GPT-5.6 Sol high tier with 1M context and responsive total response time.
Best for: Interactive coding sessions, refactors, and product engineering loops inside OpenAI tools.
Current reasoning model
High-intelligence Claude Opus 4.8 with 1M context and competitive end-to-end latency.
Best for: Large code migrations, multi-file edits, and coding agents that need strong reasoning.
Current reasoning model
New GPT-5.6 Terra max tier with lower listed price than Sol and very fast output speed.
Best for: Cost-aware long-context coding where throughput matters more than first-token speed.
Current reasoning model
Prior-generation GPT-5.5 xhigh still ranks high, with broad context and strong reasoning.
Best for: Teams still routed on GPT-5.5 endpoints for design-to-code and code review workflows.
Current reasoning model
First Grok entry in the Top 20, with fast latency and a mid-size 500k context window.
Best for: Fast interactive coding help, medium-context agent loops, and xAI ecosystem experiments.
Current reasoning model
GPT-5.6 Sol medium tier balances intelligence, 1M context, and low total response time.
Best for: Most daily OpenAI coding loops where speed and quality both matter.
Current reasoning model
Strong Opus reasoning with 1M context and lower latency than higher Opus/Fable entries.
Best for: Interactive coding sessions that still need frontier reasoning and long context.
Current reasoning model
Sonnet-level cost profile with high intelligence and 1M context, trading off long first response.
Best for: Long, careful batch work where quality and context matter more than immediacy.
Current reasoning model
A high-reasoning GPT-5.5 mode with the same broad context and much lower latency than xhigh.
Best for: Daily agent coding, code review, refactors, and product engineering loops.
Current reasoning model
GPT-5.6 Terra xhigh combines lower listed price, 1M context, and fast median output.
Best for: Cost-sensitive long-context coding with strong throughput and reasonable first-chunk latency.
Current reasoning model
New GPT-5.6 Luna max tier with very low listed price, 1M context, and high output speed.
Best for: Budget OpenAI stacks, long-context batch edits, and high-throughput coding assistants.
Current reasoning model
High ranking with 1M context, low listed blended price, and very fast median output.
Best for: Cost-aware coding assistants, long-context analysis, and latency-sensitive workflows.
Current reasoning model
Updated Muse Spark 1.1 xhigh with full public metrics and a slightly larger context window.
Best for: Low-latency long-context coding experiments and Meta model routing comparisons.
Current reasoning model
Balanced GPT-5.5 reasoning tier with broad context and faster response than high/xhigh.
Best for: Most interactive coding loops where quality, speed, and context all matter.
Current general model
Fast long-context Gemini model with strong intelligence and Google ecosystem fit.
Best for: Long-file analysis, multimodal coding workflows, and Google Cloud-oriented stacks.
Current reasoning model
Low-latency GPT-5.6 Sol tier with 1M context and the fastest total response in the Sol line.
Best for: Interactive pair programming, quick fixes, and fast planning loops on GPT-5.6 Sol.