#token efficiency
Token Efficiency: 10 AI articles covering token efficiency news, analysis, and research
Articles
Meet TokenEconomizer: Microsoft's Open-Source Plugin That Cuts⭐8
Microsoft's open-source TokenEconomizer plugin cuts coding agent costs by up to 30.9% on SWE-Bench tasks, working with Claude Code, Codex, Copilot CLI, and Pi.
MCP vs. CLI for AI Agents: A Comparative Analysis of Tool⭐8
This paper compares MCP and CLI tool integration for AI agents across 14 dimensions, covering efficiency, security, governance, and a recommended hybrid archite...
Agent-Controlled Forgetting: Reversible Context Curation for⭐10
Tool-using AI agents can reversibly archive verbose tool results, replacing them with short notes to cut prompt tokens and API costs by up to 50% in noisy traje...
Heavy-Tailed Memory Traces in Long-Horizon Language Agents⭐9
Long-horizon language agents show heavy-tailed memory traces. This study introduces CTWM, a rank-based memory controller that cuts tail prediction error and tok...
Fireworks AI Releases Ember-1: A Post-Trained Kimi K3 That Uses⭐8
Fireworks AI's Ember-1 post-trains Kimi K3 to cut reasoning tokens by ~40% while preserving accuracy, available only via serverless API research preview.
BottleCap AI Releases ThinkingCap-Qwen3.8-27B: 37.2% Fewer⭐8
ThinkingCap-Qwen3.8-27B by BottleCap AI cuts thinking tokens by 37.2% on average across 12 benchmarks, with only a 0.86pp accuracy drop.
NVIDIA's SoL-Pi Auto-Research Loops Cut Coding Agent Token⭐9
NVIDIA's SoL-Pi auto-research loops cut coding agent token traffic by up to 49% on EdgeBench, reducing API costs ~33% while matching Pi's scores.
Meta AI Unveils Muse Spark 1.3: Agentic Coding Model Cuts Tool⭐7
Meta AI launches Muse Spark 1.3 agentic coding model with 20% fewer tool calls and 25% less token usage than 1.2, boosting efficiency for production workflows.
Does a Language Server Save Tokens for Coding Agents? A⭐9
Does a language server save tokens for coding agents? A measurement study shows LSP raises token usage on localization tasks but helps reference completeness.
Thinking of ACE? We Can Do It with Fewer Tokens⭐8
Cut AI token usage by up to 40% with efficiency breakthroughs, achieving ACE-level performance at lower cost and faster speeds.