Pairwise benchmark snapshot · Aug 17, 2026

Claude Opus 4 vs Z.ai: GLM 5V Turbo benchmark

Name: Claude Opus 4 vs Z.ai: GLM 5V Turbo AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Claude Opus 4 (Anthropic) and Z.ai: GLM 5V Turbo (Zhipu) using the latest snapshots we have as of Aug 17, 2026. On preference Elo, Claude Opus 4 is ahead by 15 points (1,490 vs 1,475; lmarena (Aug 17, 2026)). On SWE-bench coding, Claude Opus 4 resolves 72.5% versus 65.2% (swebench (Aug 17, 2026)). Z.ai: GLM 5V Turbo streams faster (112 tok/s) while Z.ai: GLM 5V Turbo is the cheaper output token ($4/1M). Z.ai: GLM 5V Turbo has the larger context window (203k tokens). Every cell below is a dated snapshot from a named public source — we do not invent missing scores, and we do not run SWE-bench ourselves.

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Anthropic

Claude Opus 4

First Claude 4 Opus generation. Baseline for opus 4 vs opus 5.

Elo 1,490$75/1M out

Zhipu

Z.ai: GLM 5V Turbo

Auto-discovered from OpenRouter (z-ai/glm-5v-turbo). Preview until a second source matches.

Elo 1,475$4/1M out

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Model A

Model B

Quick vs:vs Claude Opus 4.5 vs Claude Opus 4.6 vs Claude Sonnet 4.5 vs Claude 3.7 Sonnet

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Claude Opus 4 (5)vsZ.ai: GLM 5V Turbo (5)

Claude Opus 4: 5W (50%)Overall: Even matchupZ.ai: GLM 5V Turbo: 5W (50%)

← Claude Opus 4Z.ai: GLM 5V Turbo →

Claude Opus 4 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,490vs1,475

Coding Elo

1,502vs1,482

SWE-bench

72.5%vs65.2%

LiveBench

66.8%vs63.8%

GPQA Diamond

80.4%vs77.4%

Claude Opus 4: 5WZ.ai: GLM 5V Turbo: 0W

Z.ai: GLM 5V Turbo (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

58 tok/svs112 tok/s

Time to first token

390 msvs180 ms

Claude Opus 4: 0WZ.ai: GLM 5V Turbo: 2W

Z.ai: GLM 5V Turbo (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$75/1Mvs$4/1M

Input price

$15/1Mvs$1.2/1M

Context window

200kvs203k

Claude Opus 4: 0WZ.ai: GLM 5V Turbo: 3W

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 AdvantageEven 3–3

Preference Elo

Claude Opus 4

15 pts advantage

Throughput Speed

Z.ai: GLM 5V Turbo

54 tok/s faster

Token Price Efficiency

Z.ai: GLM 5V Turbo

$71.00/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

+1%1,490

EloHigh is better

1,475

Code Elo

High is better

+1%1,502

Code EloHigh is better

1,482

LiveBench

High is better

+5%66.8%

LiveBenchHigh is better

63.8%

SWE-bench

High is better

+11%72.5%

SWE-benchHigh is better

65.2%

GPQA

High is better

+4%80.4%

GPQAHigh is better

77.4%

TTFT

Low is better

390 ms

TTFTLow is better

180 ms+117%

Speed

High is better

58 tok/s

SpeedHigh is better

112 tok/s+93%

In $

Low is better

$15.00 / 1M

In $Low is better

$1.20 / 1M+1150%

Out $

Low is better

$75.00 / 1M

Out $Low is better

$4.00 / 1M+1775%

Context

High is better

200k

ContextHigh is better

203k+1%

Interactive Simulator (USD)

Workload Cost & Savings Calculator

Simulate monthly production API costs in USD (US Dollar).

Save up to 94% with Z.ai: GLM 5V Turbo

Monthly Volume50M tokens/mo

Quick Presets:

Token Ratio (In vs Out)70% In / 30% Out

RAG / Search (10% out)Coding / Chat (50% out)

Claude Opus 4$1,650.00 / mo

In: $525Out: $1,125

Z.ai: GLM 5V Turbo$102.00 / mo

In: $42Out: $60

Estimated Cost Delta

Z.ai: GLM 5V Turbo is estimated to save $1,548.00/month ($18,576/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Claude Opus 4:Pick Claude Opus 4 when repo-level coding accuracy is the constraint.
2
Z.ai: GLM 5V Turbo:Pick Z.ai: GLM 5V Turbo when you are optimizing output cost.
3
Z.ai: GLM 5V Turbo:Pick Z.ai: GLM 5V Turbo when time-to-first-token matters more than peak Elo.

Recommended Workload Routing

Repo / coding agentsClaude Opus 4

Higher SWE-bench (72.5%).

High-volume chatZ.ai: GLM 5V Turbo

Lower output list price ($4/1M).

Voice / low-latency UIZ.ai: GLM 5V Turbo

Lower TTFT (180 ms).

Long-document RAGZ.ai: GLM 5V Turbo

Larger window (203k).

Screenshots / visionClaude Opus 4

Both accept images. Defaulting to the higher-Elo side (Claude Opus 4).

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Claude Opus 4	Higher SWE-bench (72.5%).
High-volume chat	Z.ai: GLM 5V Turbo	Lower output list price ($4/1M).
Voice / low-latency UI	Z.ai: GLM 5V Turbo	Lower TTFT (180 ms).
Long-document RAG	Z.ai: GLM 5V Turbo	Larger window (203k).
Screenshots / vision	Claude Opus 4	Both accept images. Defaulting to the higher-Elo side (Claude Opus 4).

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LIVE

Anthropic

Claude Opus 4

Elo 1,490

LiveBench66.8%

SWE-bench72.5%

Speed58 tok/s

Output cost$75/1M

Zhipu

Z.ai: GLM 5V Turbo

Elo 1,475

LiveBench63.8%

SWE-bench65.2%

Speed112 tok/s

Output cost$4/1M

Frequently Asked Questions

Which is better overall, Claude Opus 4 or Z.ai: GLM 5V Turbo?: Claude Opus 4 has the higher preference Elo in our latest snapshot (1,490). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Claude Opus 4 or Z.ai: GLM 5V Turbo?: Claude Opus 4 leads SWE-bench at 72.5% vs 65.2%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?: Z.ai: GLM 5V Turbo output tokens are $4/1M versus $75/1M. Input prices and retry rates still move the real bill.
Which is faster, Claude Opus 4 or Z.ai: GLM 5V Turbo?: Z.ai: GLM 5V Turbo has the lower time-to-first-token (180 ms vs 390 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?: Z.ai: GLM 5V Turbo accepts 203k tokens versus 200k.
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. Claude Opus 4 and Z.ai: GLM 5V Turbo Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Claude Opus 4 matchups →|All Z.ai: GLM 5V Turbo matchups →

Claude Opus 4 vs Claude 3 Opus (previous opus)Claude Opus 4 vs Claude Opus 4.5 (next opus)Z.ai: GLM 5V Turbo vs GLM-5.2 (previous glm)Z.ai: GLM 5V Turbo vs GLM-5.3 (next glm)Claude Sonnet 4.5 vs Claude Opus 4 Claude Sonnet 5 vs Claude Opus 4

Claude Opus 4 vs Z.ai: GLM 5V Turbo benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Claude Opus 4 (5)vsZ.ai: GLM 5V Turbo (5)

Claude Opus 4: 5W (50%)Overall: Even matchupZ.ai: GLM 5V Turbo: 5W (50%)

← Claude Opus 4Z.ai: GLM 5V Turbo →

Claude Opus 4 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,490vs1,475

Coding Elo

1,502vs1,482

SWE-bench

72.5%vs65.2%

LiveBench

66.8%vs63.8%

GPQA Diamond

80.4%vs77.4%

Claude Opus 4: 5WZ.ai: GLM 5V Turbo: 0W

Z.ai: GLM 5V Turbo (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

58 tok/svs112 tok/s

Time to first token

390 msvs180 ms

Claude Opus 4: 0WZ.ai: GLM 5V Turbo: 2W

Z.ai: GLM 5V Turbo (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$75/1Mvs$4/1M

Input price

$15/1Mvs$1.2/1M

Context window

200kvs203k

Claude Opus 4: 0WZ.ai: GLM 5V Turbo: 3W

Recommended Workload Routing

Repo / coding agentsClaude Opus 4

Higher SWE-bench (72.5%).

High-volume chatZ.ai: GLM 5V Turbo

Lower output list price ($4/1M).

Voice / low-latency UIZ.ai: GLM 5V Turbo

Lower TTFT (180 ms).

Long-document RAGZ.ai: GLM 5V Turbo

Larger window (203k).

Screenshots / visionClaude Opus 4

Both accept images. Defaulting to the higher-Elo side (Claude Opus 4).

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Claude Opus 4	Higher SWE-bench (72.5%).
High-volume chat	Z.ai: GLM 5V Turbo	Lower output list price ($4/1M).
Voice / low-latency UI	Z.ai: GLM 5V Turbo	Lower TTFT (180 ms).
Long-document RAG	Z.ai: GLM 5V Turbo	Larger window (203k).
Screenshots / vision	Claude Opus 4	Both accept images. Defaulting to the higher-Elo side (Claude Opus 4).

Frequently Asked Questions

Which is better overall, Claude Opus 4 or Z.ai: GLM 5V Turbo?

Claude Opus 4 has the higher preference Elo in our latest snapshot (1,490). “Better” still depends on coding, price, and latency — see the table.

Which is better at coding, Claude Opus 4 or Z.ai: GLM 5V Turbo?

Claude Opus 4 leads SWE-bench at 72.5% vs 65.2%. SWE-bench is one harness, not your repo.

Which is cheaper to run in production?

Z.ai: GLM 5V Turbo output tokens are $4/1M versus $75/1M. Input prices and retry rates still move the real bill.

Which is faster, Claude Opus 4 or Z.ai: GLM 5V Turbo?

Z.ai: GLM 5V Turbo has the lower time-to-first-token (180 ms vs 390 ms). Tokens/sec is a separate column if you care about long completions.

Which has the larger context window?

Z.ai: GLM 5V Turbo accepts 203k tokens versus 200k.

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. Claude Opus 4 and Z.ai: GLM 5V Turbo Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.