Claude Sonnet 5.5vsGLM-4.5-Air

Both language models, compared at each maker’s own API list prices. Every figure links to its source.

Compare at your usage

Every model priced for the same request
Prompt per request
Cache hits
Batch

8,000 tokens in, 2,000 out

Claude Sonnet 5.5 on Claude APIGLM-4.5-Air on Z.ai API
Rate appliedBase rateBase rate
Inputper 1M tokens$2.00 $0.20
Cache readper 1M tokens$0.10 $0.030
Outputper 1M tokens$10.00 $1.10
Cost per request$0.036$0.0038
Per 1,000 requests$36.00$3.80

Every model is priced for the same request at its maker’s own list prices (each with its source and date), so bold marks the cheapest. A model that can’t serve the request is named, not ranked; a condition its seller doesn’t price says which rate was used.

Cost per request as prompts grow

2K tokens out, list price on each maker’s API. A line ends at the model’s context window.

0$0.50$1.00$1.50$2.000250K500K750K1Mprompt tokens per request8KClaude Sonnet 5.5$0.036 at 8KGLM-4.5-Air$0.0038 at 8K
  • Claude Sonnet 5.5 · Claude API
  • GLM-4.5-Air · Z.ai API

Where each stands among all scored models

Each line runs from the lowest to the highest score on the board; the tick is the median.

LMArena Text#26 vs #117 of 163GLM-4.5-Air: 1,373Claude Sonnet 5.5: 1,477LMArena Text · Coding#20 vs #116 of 163GLM-4.5-Air: 1,427Claude Sonnet 5.5: 1,529LMArena Text · Chinese#9 vs #110 of 161GLM-4.5-Air: 1,405Claude Sonnet 5.5: 1,545LMArena Text · Creative writing#18 vs #118 of 163GLM-4.5-Air: 1,327Claude Sonnet 5.5: 1,468
  • Claude Sonnet 5.5
  • GLM-4.5-Air

Key differences

InputMaker’s official API · global · USD
$2.00 / 1M tokens Claude API pricing · as of Nov 1, 2026
$0.20 / 1M tokens Pricing · as of Nov 1, 2026
OutputMaker’s official API · global · USD
$10.00 / 1M tokens Claude API pricing · as of Nov 1, 2026
$1.10 / 1M tokens Pricing · as of Nov 1, 2026
Context
1,000,000 Context windows · as of Oct 30, 2026
128,000 智谱 BigModel:模型概览in Chinese · as of Nov 4, 2026
Max output
128,000 Claude Sonnet 5.5 model overview · as of Nov 1, 2026
96,000 智谱 BigModel:模型概览in Chinese · as of Nov 4, 2026
Input modalities
Text, Image Claude Sonnet 5.5 model overview · as of Nov 1, 2026
Text Z.ai LLM GLM-4.5 overview · as of Nov 1, 2026
Cache readMaker’s official API · global · USD
$0.10 / 1M tokens Claude API pricing · as of Nov 1, 2026
$0.030 / 1M tokens Pricing · as of Nov 1, 2026

These differences use verified vendor specifications or each maker’s official API on the same region, currency, meter and billing conditions. Different conditions remain side by side in the full table; they do not establish which model is cheaper. Declared features describe support, not measured quality or a recommendation. Missing evidence does not mean a feature is unsupported.

Full comparison

Claude Sonnet 5.5 Anthropic GLM-4.5-Air Zhipu AI
Overview
ReleasedSep 28, 2026 Jul 28, 2025
Open weights— Yes
Knowledge cutoffJun 2026 Apr 2025
Specs
Context1M 128K
Max output128K 96K
Input modalitiesText, Image Text
Output modalitiesText Text
ReasoningYes Yes
Reasoning effortslow, medium, high, xhigh, max Not stated
Reasoning can be offNot stated Yes
Tool useYes Yes
Structured outputYes Not stated
Pricing · per 1M tokens
Input price$2.00Also priced under other conditions: Batch $0.20
Output price$10.00Also priced under other conditions: Batch $1.10
Cache read price$0.10 $0.030
Cache write price$2.50Also priced under other conditions: 1-hour cache5-minute cache —
Cache write price (1-hour cache)$4.001-hour cache Not offered
Blended price (3 input : 1 output)$4.00 $0.425
Pricing under conditions · per 1M tokens
Batch input price$1.00Batch Not offered
Batch output price$5.00Batch Not offered
Cited scores
Epoch Capabilities Index166.2 —
LMArena Text1,477 xhigh effort1,373
LMArena Text · Coding1,529 xhigh effort1,427
LMArena Vision1,287 xhigh effort—
LMArena Text · Chinese1,545 xhigh effort1,405
Epoch AI · GPQA Diamond95.6% max effort—
Epoch AI · FrontierMath Tiers 1–388.8% max effort—

Headline prices may come from different channels, regions or tiers. Check each source before choosing a model; missing facts stay blank.

Model details and sources

Cited scores