asi1

asi1: fast intelligence with native vision

asi1 builds on GLM-5.3-Flash, a fast, general-purpose model with native vision and effort-tier thinking, released under the MIT license. It is the default model in ASI:One because it balances speed and reasoning for everyday work - and when a task needs more depth, asi1-ultra is one click away.

Intelligence

57

Scores 57 on the Artificial Analysis Intelligence Index - within 3 points of the top open model at a fraction of the cost per task.

Cost of outcome

$0.09

At $0.09 per Intelligence Index task, Flash delivers near-frontier intelligence at about one-eighth of asi1-ultra’s cost per task ($0.68), and a fraction of Claude Opus 5’s $2.34. Its API pricing ($0.15 per 1M input tokens, $0.50 per 1M output) sits well below the market median.

How it compares

Artificial Analysis is the independent evaluator of AI model intelligence, performance, and pricing. Their Intelligence Index aggregates ten evaluations across reasoning, knowledge, mathematics, and coding; cost per task is the weighted average USD cost to run one Intelligence Index task.

Cost of outcome: Intelligence Index versus cost per task5055606570$0$0.75$1.50$2.25$3.00Cost per task (USD)Intelligence IndexGLM-5.3-Flash (asi1)57 · $0.09/taskGLM-5.3 (asi1-ultra)60 · $0.68/taskClaude Opus 563 · $2.34/task

How to read it: each dot is one model. Dots higher up score better on the Artificial Analysis Intelligence Index; dots further left cost less per task. The best cost of outcome sits up and to the left.

ModelIntelligence IndexCost per task
GLM-5.3-Flash (asi1)57$0.09
GLM-5.3 (asi1-ultra)60$0.68
Claude Opus 563$2.34

Scores from Artificial Analysis, the independent evaluator. Intelligence Index scores change with new evaluation versions - verify current scores before citing.

What it does best

  • Native vision - the only model in the family that sees images
  • Effort-tier thinking: fast answers or deep reasoning on demand
  • High-volume agentic work where cost is the constraint
  • Everyday coding, drafting, and analysis at speed

We do the benchmarking. You get the outcome.

Part of how ASI:One works: we benchmark every model against the tasks your team actually runs - long tool chains, document analysis, code review - before it ships behind a tier. Then we work with you to tune and train the model to your requirements, so you never spend time researching models, comparing options, or upgrading and swapping them out as the market moves.

Try it in ASI:Work

Verify the latest scores on Artificial Analysis - Artificial Analysis is the independent evaluator of AI model intelligence, performance, and pricing. Their Intelligence Index aggregates ten evaluations across reasoning, knowledge, mathematics, and coding; cost per task is the weighted average USD cost to run one Intelligence Index task..