Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)

Auto Router (Beta) vs Z.ai: GLM 4.5 Air benchmark

Name: Auto Router (Beta) vs Z.ai: GLM 4.5 Air AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

In this head-to-head showdown, Auto Router (Beta) is more budget-friendly at $-1,000,000/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Share Analysis:

openrouter

Auto Router (Beta)

Auto-discovered from OpenRouter (openrouter/auto-beta). Preview until a second source matches.

$-1000000/1M out

Zhipu

Z.ai: GLM 4.5 Air

Auto-discovered from OpenRouter (z-ai/glm-4.5-air). Preview until a second source matches.

$0.85/1M out

Top Rival Showdowns for Auto Router (Beta)

All Matchups

Compare vs:vs Claude Opus 4.5 vs GPT-5 vs Gemini 3 Pro vs Grok 4.6 vs DeepSeek V4 Pro

Preference Leader

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar Leader

Auto Router (Beta)

$-1000000 / 1M output

Capability Percentiles

Relative percentile scores computed across all active models in the benchmark catalog.

Capability Matchup Radar

Multi-Dimensional Capability Radar

Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.

Tap any node to inspect

Percentile 0–100

Dimensional AdvantageAuto Router (Beta) 2/6

Head-to-Head Comparison

Overall Matchup Breakdown

Category wins across reasoning intelligence, generation speed, and token cost.

Auto Router (Beta) (3)vsZ.ai: GLM 4.5 Air (0)

Auto Router (Beta): 3W (100%)Overall: Auto Router (Beta)Z.ai: GLM 4.5 Air: 0W (0%)

← Auto Router (Beta)Z.ai: GLM 4.5 Air →

Tied (0/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo

—vs—

Coding Elo

—vs—

SWE-bench

—vs—

LiveBench

—vs—

GPQA Diamond

—vs—

Auto Router (Beta): 0WZ.ai: GLM 4.5 Air: 0W

Tied (0/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

—vs—

Time to first token

—vs—

Auto Router (Beta): 0WZ.ai: GLM 4.5 Air: 0W

Auto Router (Beta) (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$-1,000,000/1Mvs$0.85/1M

Input price

$-1,000,000/1Mvs$0.13/1M

Context window

2Mvs131k

Auto Router (Beta): 3WZ.ai: GLM 4.5 Air: 0W

Side-by-Side Benchmark Matrix

Input priceAuto Router (Beta) (+$1,000,000/1M)

Auto Router (Beta)$-1,000,000/1M

openrouter · Aug 17, 2026

Z.ai: GLM 4.5 Air$0.13/1M

openrouter · Aug 17, 2026

Output priceAuto Router (Beta) (+$1,000,000/1M)

Auto Router (Beta)$-1,000,000/1M

openrouter · Aug 17, 2026

Z.ai: GLM 4.5 Air$0.85/1M

openrouter · Aug 17, 2026

Context windowAuto Router (Beta) (+1.9M)

Auto Router (Beta)2M

openrouter · Aug 17, 2026

Z.ai: GLM 4.5 Air131k

openrouter · Aug 17, 2026

Benchmark	Auto Router (Beta)	Z.ai: GLM 4.5 Air	Advantage Delta
Input price	$-1,000,000/1M openrouter · Aug 17, 2026	$0.13/1M openrouter · Aug 17, 2026	Auto Router (Beta) (+$1,000,000/1M)
Output price	$-1,000,000/1M openrouter · Aug 17, 2026	$0.85/1M openrouter · Aug 17, 2026	Auto Router (Beta) (+$1,000,000/1M)
Context window	2M openrouter · Aug 17, 2026	131k openrouter · Aug 17, 2026	Auto Router (Beta) (+1.9M)

Key Selection Recommendations

1
Auto Router (Beta):Pick Auto Router (Beta) when you are optimizing output cost.
2
Auto Router (Beta):Pick Auto Router (Beta) for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatAuto Router (Beta)

Lower output list price ($-1,000,000/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGAuto Router (Beta)

Larger window (2M).

Screenshots / visioninsufficient data

Neither side is marked as vision-capable.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	Auto Router (Beta)	Lower output list price ($-1,000,000/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Auto Router (Beta)	Larger window (2M).
Screenshots / vision	insufficient data	Neither side is marked as vision-capable.

Community Sentiment

Cast Your Matchup Vote

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Community Discussions (0)

No comments posted on this matchup yet. Be the first to share an evaluation note!

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The real PNG is generated at /compare/auto-beta-vs-glm-4-5-air/opengraph-image for crawlers.

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CompareLLM Matrix

Verified head-to-head card

LIVE

openrouter

Auto Router (Beta)

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost$-1,000,000/1M

Zhipu

Z.ai: GLM 4.5 Air

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost$0.85/1M

Frequently Asked Questions

Which is better overall, Auto Router (Beta) or Z.ai: GLM 4.5 Air?: We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.
Which is better at coding, Auto Router (Beta) or Z.ai: GLM 4.5 Air?: SWE-bench is missing for at least one model, so we do not rank coding from a single number.
Which is cheaper to run in production?: Auto Router (Beta) output tokens are $-1,000,000/1M versus $0.85/1M. Input prices and retry rates still move the real bill.
Which is faster, Auto Router (Beta) or Z.ai: GLM 4.5 Air?: We do not have TTFT for both models.
Which has the larger context window?: Auto Router (Beta) accepts 2M tokens versus 131k.
Can I self-host either model?: Neither model is marked open-weights here. You are comparing hosted APIs.
Are these scores from CompareLLM’s own evals?: No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.
What does preference Elo mean on this page?: Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. Auto Router (Beta) and Z.ai: GLM 4.5 Air Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Capability Percentiles

Relative percentile scores computed across all active models in the benchmark catalog.

Capability Matchup Radar

Multi-Dimensional Capability Radar

Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.

Tap any node to inspect

Percentile 0–100

Dimensional AdvantageAuto Router (Beta) 2/6

Side-by-Side Benchmark Matrix

Input priceAuto Router (Beta) (+$1,000,000/1M)

Auto Router (Beta)$-1,000,000/1M

openrouter · Aug 17, 2026

Z.ai: GLM 4.5 Air$0.13/1M

openrouter · Aug 17, 2026

Output priceAuto Router (Beta) (+$1,000,000/1M)

Auto Router (Beta)$-1,000,000/1M

openrouter · Aug 17, 2026

Z.ai: GLM 4.5 Air$0.85/1M

openrouter · Aug 17, 2026

Context windowAuto Router (Beta) (+1.9M)

Auto Router (Beta)2M

openrouter · Aug 17, 2026

Z.ai: GLM 4.5 Air131k

openrouter · Aug 17, 2026

Benchmark	Auto Router (Beta)	Z.ai: GLM 4.5 Air	Advantage Delta
Input price	$-1,000,000/1M openrouter · Aug 17, 2026	$0.13/1M openrouter · Aug 17, 2026	Auto Router (Beta) (+$1,000,000/1M)
Output price	$-1,000,000/1M openrouter · Aug 17, 2026	$0.85/1M openrouter · Aug 17, 2026	Auto Router (Beta) (+$1,000,000/1M)
Context window	2M openrouter · Aug 17, 2026	131k openrouter · Aug 17, 2026	Auto Router (Beta) (+1.9M)

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatAuto Router (Beta)

Lower output list price ($-1,000,000/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGAuto Router (Beta)

Larger window (2M).

Screenshots / visioninsufficient data

Neither side is marked as vision-capable.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	Auto Router (Beta)	Lower output list price ($-1,000,000/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Auto Router (Beta)	Larger window (2M).
Screenshots / vision	insufficient data	Neither side is marked as vision-capable.

Frequently Asked Questions

Which is better overall, Auto Router (Beta) or Z.ai: GLM 4.5 Air?

We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.

Which is better at coding, Auto Router (Beta) or Z.ai: GLM 4.5 Air?

SWE-bench is missing for at least one model, so we do not rank coding from a single number.

Which is cheaper to run in production?

Auto Router (Beta) output tokens are $-1,000,000/1M versus $0.85/1M. Input prices and retry rates still move the real bill.

Which is faster, Auto Router (Beta) or Z.ai: GLM 4.5 Air?

We do not have TTFT for both models.

Which has the larger context window?

Auto Router (Beta) accepts 2M tokens versus 131k.

Can I self-host either model?

Neither model is marked open-weights here. You are comparing hosted APIs.

Are these scores from CompareLLM’s own evals?

No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.

What does preference Elo mean on this page?

Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. Auto Router (Beta) and Z.ai: GLM 4.5 Air Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.