Haiku 5.5 Versus Gemini 4 Argon: Benchmark Speed and Cost Trade-Offs

Artificial Analysis currently compares Claude Haiku 5.5 in high-reasoning mode with Gemini 4 Argon at a high setting. Its captured comparison lists a stronger composite intelligence score for Argon, while Haiku uses lower stated token pricing. On the cited snapshot, the comparison includes agent automation, terminal, scientific coding and long-context tests, not merely one general intelligence number.

The gap matters because highly capable models may need fewer interventions on difficult tasks, yet that does not automatically erase a large price difference in repetitive classification or extraction workflows. Artificial Analysis also reports a cost-per-task estimate, an end-to-end metric that can be more decision-relevant than input-token price when one model emits far more reasoning tokens.

Model selection should start with a representative sample of the user's own requests. Set an acceptable accuracy threshold first; then compare the cost and latency of those solutions that reach it. A low-price model that misses critical cases has a hidden rework cost. An expensive model overqualified for a short task wastes budget.

All benchmark scores and prices can change with provider updates. Use the link to inspect current settings and methodology; the cited values do not establish live product guarantees for a new application.