Pairwise benchmark snapshot · Aug 17, 2026

Z.ai: GLM 5V Turbo vs Qwen3.8 27B benchmark

Name: Z.ai: GLM 5V Turbo vs Qwen3.8 27B AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Z.ai: GLM 5V Turbo (Zhipu) and Qwen3.8 27B (Alibaba) using the latest snapshots we have as of Aug 17, 2026. On preference Elo, Z.ai: GLM 5V Turbo is ahead by 77 points (1,475 vs 1,398; seed-bootstrap (Aug 1, 2026)). On SWE-bench coding, Z.ai: GLM 5V Turbo resolves 65.2% versus 58.8% (seed-bootstrap (Aug 1, 2026)). Qwen3.8 27B streams faster (152 tok/s) while Qwen3.8 27B is the cheaper output token ($3.2/1M). Qwen3.8 27B has the larger context window (262k 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.

Share Analysis:

WhatsApp Telegram X / Post LinkedIn Reddit

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

Alibaba

Qwen3.8 27B

Alibaba open-weight 27B drop dated Aug 14 2026. Dense enough to self-host; not a frontier MoE.

Elo 1,398$3.1999999999999997/1M out

Swap or Add Any Model to this Matchup

Instant pairwise benchmark recalculation across 400+ LLMs

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.

Z.ai: GLM 5V Turbo (5)vsQwen3.8 27B (5)

Z.ai: GLM 5V Turbo: 5W (50%)Overall: Even matchupQwen3.8 27B: 5W (50%)

← Z.ai: GLM 5V TurboQwen3.8 27B →

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

Intelligence & Reasoning

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

Preference Elo

1,475vs1,398

Coding Elo

1,482vs1,422

SWE-bench

65.2%vs58.8%

LiveBench

63.8%vs60.6%

GPQA Diamond

77.4%vs73.4%

Z.ai: GLM 5V Turbo: 5WQwen3.8 27B: 0W

Qwen3.8 27B (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

112 tok/svs152 tok/s

Time to first token

180 msvs140 ms

Z.ai: GLM 5V Turbo: 0WQwen3.8 27B: 2W

Qwen3.8 27B (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$4/1Mvs$3.2/1M

Input price

$1.2/1Mvs$0.45/1M

Context window

203kvs262k

Z.ai: GLM 5V Turbo: 0WQwen3.8 27B: 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

Z.ai: GLM 5V Turbo

77 pts advantage

Throughput Speed

Qwen3.8 27B

40 tok/s faster

Price Efficiency

Qwen3.8 27B

$0.80/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

+6%1,475

EloHigh is better

1,398

Code Elo

High is better

+4%1,482

Code EloHigh is better

1,422

LiveBench

High is better

+5%63.8%

LiveBenchHigh is better

60.6%

SWE-bench

High is better

+11%65.2%

SWE-benchHigh is better

58.8%

GPQA

High is better

+5%77.4%

GPQAHigh is better

73.4%

TTFT

Low is better

180 ms

TTFTLow is better

140 ms+29%

Speed

High is better

112 tok/s

SpeedHigh is better

152 tok/s+36%

In $

Low is better

$1.2/1M

In $Low is better

$0.45/1M+167%

Out $

Low is better

$4/1M

Out $Low is better

$3.2/1M+25%

Context

High is better

203k

ContextHigh is better

262k+29%

Interactive Simulator

Workload Cost & Savings Calculator

Simulate monthly production API costs based on published $/1M tokens.

Save up to 38% with Qwen3.8 27B

Monthly Volume50M tokens/mo

Quick Presets:

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

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

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

In: $42.00Out: $60.00

Qwen3.8 27B$63.75 / mo

In: $15.75Out: $48.00

Estimated Cost Delta

Qwen3.8 27B is estimated to save $38.25/month ($459/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Z.ai: GLM 5V Turbo:Pick Z.ai: GLM 5V Turbo when repo-level coding accuracy is the constraint.
2
Qwen3.8 27B:Pick Qwen3.8 27B when you are optimizing output cost.
3
Qwen3.8 27B:Pick Qwen3.8 27B when time-to-first-token matters more than peak Elo.

Recommended Workload Routing

Repo / coding agentsZ.ai: GLM 5V Turbo

Higher SWE-bench (65.2%).

High-volume chatQwen3.8 27B

Lower output list price ($3.2/1M).

Voice / low-latency UIQwen3.8 27B

Lower TTFT (140 ms).

Long-document RAGQwen3.8 27B

Larger window (262k).

Screenshots / visionZ.ai: GLM 5V Turbo

Z.ai: GLM 5V Turbo is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Z.ai: GLM 5V Turbo	Higher SWE-bench (65.2%).
High-volume chat	Qwen3.8 27B	Lower output list price ($3.2/1M).
Voice / low-latency UI	Qwen3.8 27B	Lower TTFT (140 ms).
Long-document RAG	Qwen3.8 27B	Larger window (262k).
Screenshots / vision	Z.ai: GLM 5V Turbo	Z.ai: GLM 5V Turbo is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news

launchAug 14, 2026

Qwen3.8 27B (Aug 14): dense enough to self-host, not a frontier MoE

Alibaba open-weight 27B drop. Local/open-weight lists should see it. It will not win frontier-agents.

Community Sentiment

Cast Your Matchup Vote

0 total votes

Community Discussions (0)

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

Share card

The real PNG is generated at /compare/glm-5v-turbo-vs-qwen-3-8-27b/opengraph-image for crawlers.

PNG

CompareLLM Matrix

Verified head-to-head card

LIVE

Zhipu

Z.ai: GLM 5V Turbo

Elo 1,475

LiveBench63.8%

SWE-bench65.2%

Speed112 tok/s

Output cost$4/1M

Alibaba

Qwen3.8 27B

Elo 1,398

LiveBench60.6%

SWE-bench58.8%

Speed152 tok/s

Output cost$3.2/1M

Frequently Asked Questions

Which is better overall, Z.ai: GLM 5V Turbo or Qwen3.8 27B?: Z.ai: GLM 5V Turbo has the higher preference Elo in our latest snapshot (1,475). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Z.ai: GLM 5V Turbo or Qwen3.8 27B?: Z.ai: GLM 5V Turbo leads SWE-bench at 65.2% vs 58.8%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?: Qwen3.8 27B output tokens are $3.2/1M versus $4/1M. Input prices and retry rates still move the real bill.
Which is faster, Z.ai: GLM 5V Turbo or Qwen3.8 27B?: Qwen3.8 27B has the lower time-to-first-token (140 ms vs 180 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?: Qwen3.8 27B accepts 262k tokens versus 203k.
Can I self-host either model?: Qwen3.8 27B is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.
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. Z.ai: GLM 5V Turbo and Qwen3.8 27B Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Z.ai: GLM 5V Turbo matchups →|All Qwen3.8 27B matchups →

Z.ai: GLM 5V Turbo vs GLM-5.2 (previous glm)Z.ai: GLM 5V Turbo vs GLM-5.3 (next glm)Qwen QwQ 32B vs Z.ai: GLM 5V Turbo Qwen 3 Max vs Z.ai: GLM 5V Turbo Qwen 2.5 Plus vs Z.ai: GLM 5V Turbo Qwen3 235B vs Z.ai: GLM 5V Turbo

Z.ai: GLM 5V Turbo vs Qwen3.8 27B benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Z.ai: GLM 5V Turbo (5)vsQwen3.8 27B (5)

Z.ai: GLM 5V Turbo: 5W (50%)Overall: Even matchupQwen3.8 27B: 5W (50%)

← Z.ai: GLM 5V TurboQwen3.8 27B →

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

Intelligence & Reasoning

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

Preference Elo

1,475vs1,398

Coding Elo

1,482vs1,422

SWE-bench

65.2%vs58.8%

LiveBench

63.8%vs60.6%

GPQA Diamond

77.4%vs73.4%

Z.ai: GLM 5V Turbo: 5WQwen3.8 27B: 0W

Qwen3.8 27B (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

112 tok/svs152 tok/s

Time to first token

180 msvs140 ms

Z.ai: GLM 5V Turbo: 0WQwen3.8 27B: 2W

Qwen3.8 27B (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$4/1Mvs$3.2/1M

Input price

$1.2/1Mvs$0.45/1M

Context window

203kvs262k

Z.ai: GLM 5V Turbo: 0WQwen3.8 27B: 3W

Recommended Workload Routing

Repo / coding agentsZ.ai: GLM 5V Turbo

Higher SWE-bench (65.2%).

High-volume chatQwen3.8 27B

Lower output list price ($3.2/1M).

Voice / low-latency UIQwen3.8 27B

Lower TTFT (140 ms).

Long-document RAGQwen3.8 27B

Larger window (262k).

Screenshots / visionZ.ai: GLM 5V Turbo

Z.ai: GLM 5V Turbo is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Z.ai: GLM 5V Turbo	Higher SWE-bench (65.2%).
High-volume chat	Qwen3.8 27B	Lower output list price ($3.2/1M).
Voice / low-latency UI	Qwen3.8 27B	Lower TTFT (140 ms).
Long-document RAG	Qwen3.8 27B	Larger window (262k).
Screenshots / vision	Z.ai: GLM 5V Turbo	Z.ai: GLM 5V Turbo is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Z.ai: GLM 5V Turbo or Qwen3.8 27B?

Z.ai: GLM 5V Turbo has the higher preference Elo in our latest snapshot (1,475). “Better” still depends on coding, price, and latency — see the table.

Which is better at coding, Z.ai: GLM 5V Turbo or Qwen3.8 27B?

Z.ai: GLM 5V Turbo leads SWE-bench at 65.2% vs 58.8%. SWE-bench is one harness, not your repo.

Which is cheaper to run in production?

Qwen3.8 27B output tokens are $3.2/1M versus $4/1M. Input prices and retry rates still move the real bill.

Which is faster, Z.ai: GLM 5V Turbo or Qwen3.8 27B?

Qwen3.8 27B has the lower time-to-first-token (140 ms vs 180 ms). Tokens/sec is a separate column if you care about long completions.

Which has the larger context window?

Qwen3.8 27B accepts 262k tokens versus 203k.

Can I self-host either model?

Qwen3.8 27B is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.

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. Z.ai: GLM 5V Turbo and Qwen3.8 27B Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

Z.ai: GLM 5V Turbo

Qwen3.8 27B

Qwen3.8 27B

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Qwen3.8 27B (Aug 14): dense enough to self-host, not a frontier MoE

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

Z.ai: GLM 5V Turbo

Qwen3.8 27B

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

Z.ai: GLM 5V Turbo

Qwen3.8 27B

Qwen3.8 27B

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Qwen3.8 27B (Aug 14): dense enough to self-host, not a frontier MoE

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

Z.ai: GLM 5V Turbo

Qwen3.8 27B

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons