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© 2026 CompareLLM. Public benchmark data aggregated from Arena Elo, LiveBench, SWE-bench & OpenRouter.

Every score has a dated snapshot.

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  3. Z.ai: GLM 5V Turbo vs Yi-Large

Pairwise benchmark snapshot · Aug 17, 2026

Z.ai: GLM 5V Turbo vs Yi-Large benchmark

In this head-to-head showdown, Z.ai: GLM 5V Turbo delivers higher overall intelligence and human-preferred responses (Elo 1,475 vs 1,430), while Z.ai: GLM 5V Turbo leads in SWE-bench software engineering benchmarks (65.2%), while Yi-Large is more budget-friendly at $0.3/1M per 1M output tokens, while Z.ai: GLM 5V Turbo provides faster response streaming (112 tok/s). Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Executive Comparison Verdict

Bottom Line: Choose Z.ai: GLM 5V Turbo if your priority is peak reasoning, complex code generation, and top preference Elo. Choose Yi-Large if you are optimizing for low latency, high throughput, and cost-efficient API deployment.
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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
01.AI
Yi-Large

01.AI full-scale dense model for complex instruction following.

Elo 1,430$0.3/1M out
Top Rival Showdowns for Z.ai: GLM 5V Turbo
All Matchups
Compare vs:vs Claude Opus 4.5vs GPT-5vs Gemini 3 Provs Grok 4.6vs DeepSeek V4 Pro
Preference Leader

Z.ai: GLM 5V Turbo

Δ 45 Arena Elo pts

Throughput Leader

Z.ai: GLM 5V Turbo

112 tok/s

Value per Dollar Leader

Yi-Large

$0.3 / 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 AdvantageZ.ai: GLM 5V Turbo 5/6
Head-to-Head Comparison

Overall Matchup Breakdown

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

Z.ai: GLM 5V Turbo (8)vsYi-Large (2)
Z.ai: GLM 5V Turbo: 8W (80%)Overall: Z.ai: GLM 5V TurboYi-Large: 2W (20%)
← Z.ai: GLM 5V TurboYi-Large →
Z.ai: GLM 5V Turbo (5/5)

Intelligence & Reasoning

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

Preference Elo
1,475vs1,430
Coding Elo
1,482vs1,410
SWE-bench
65.2%vs53.8%
LiveBench
63.8%vs60.5%
GPQA Diamond
77.4%vs72.4%
Z.ai: GLM 5V Turbo: 5WYi-Large: 0W
Z.ai: GLM 5V Turbo (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed
112 tok/svs90 tok/s
Time to first token
180 msvs220 ms
Z.ai: GLM 5V Turbo: 2WYi-Large: 0W
Yi-Large (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price
$4/1Mvs$0.3/1M
Input price
$1.2/1Mvs$0.3/1M
Context window
203kvs33k
Z.ai: GLM 5V Turbo: 1WYi-Large: 2W

Side-by-Side Benchmark Matrix

Preference EloZ.ai: GLM 5V Turbo (+45)
Z.ai: GLM 5V Turbo1,475
seed-bootstrap · Aug 1, 2026
Yi-Large1,430
lmarena · Aug 17, 2026
Coding EloZ.ai: GLM 5V Turbo (+72)
Z.ai: GLM 5V Turbo1,482
seed-bootstrap · Aug 1, 2026
Yi-Large1,410
lmarena · Aug 17, 2026
LiveBenchZ.ai: GLM 5V Turbo (+3.3%)
Z.ai: GLM 5V Turbo63.8%
seed-bootstrap · Aug 1, 2026
Yi-Large60.5%
livebench · Aug 17, 2026
SWE-benchZ.ai: GLM 5V Turbo (+11.4%)
Z.ai: GLM 5V Turbo65.2%
seed-bootstrap · Aug 1, 2026
Yi-Large53.8%
swebench · Aug 17, 2026
GPQA DiamondZ.ai: GLM 5V Turbo (+5%)
Z.ai: GLM 5V Turbo77.4%
seed-bootstrap · Aug 1, 2026
Yi-Large72.4%
seed-bootstrap · Aug 1, 2026
Time to first tokenZ.ai: GLM 5V Turbo (+40 ms)
Z.ai: GLM 5V Turbo180 ms
seed-bootstrap · Aug 1, 2026
Yi-Large220 ms
seed-bootstrap · Aug 1, 2026
Output speedZ.ai: GLM 5V Turbo (+22 tok/s)
Z.ai: GLM 5V Turbo112 tok/s
seed-bootstrap · Aug 1, 2026
Yi-Large90 tok/s
seed-bootstrap · Aug 1, 2026
Input priceYi-Large (+$0.9/1M)
Z.ai: GLM 5V Turbo$1.2/1M
openrouter · Aug 17, 2026
Yi-Large$0.3/1M
seed-bootstrap · Aug 1, 2026
Output priceYi-Large (+$3.7/1M)
Z.ai: GLM 5V Turbo$4/1M
openrouter · Aug 17, 2026
Yi-Large$0.3/1M
seed-bootstrap · Aug 1, 2026
Context windowZ.ai: GLM 5V Turbo (+170k)
Z.ai: GLM 5V Turbo203k
openrouter · Aug 17, 2026
Yi-Large33k
seed-bootstrap · Aug 1, 2026
BenchmarkZ.ai: GLM 5V TurboYi-LargeAdvantage Delta
Preference Elo
1,475
seed-bootstrap · Aug 1, 2026
1,430
lmarena · Aug 17, 2026
Z.ai: GLM 5V Turbo (+45)
Coding Elo
1,482
seed-bootstrap · Aug 1, 2026
1,410
lmarena · Aug 17, 2026
Z.ai: GLM 5V Turbo (+72)
LiveBench
63.8%
seed-bootstrap · Aug 1, 2026
60.5%
livebench · Aug 17, 2026
Z.ai: GLM 5V Turbo (+3.3%)
SWE-bench
65.2%
seed-bootstrap · Aug 1, 2026
53.8%
swebench · Aug 17, 2026
Z.ai: GLM 5V Turbo (+11.4%)
GPQA Diamond
77.4%
seed-bootstrap · Aug 1, 2026
72.4%
seed-bootstrap · Aug 1, 2026
Z.ai: GLM 5V Turbo (+5%)
Time to first token
180 ms
seed-bootstrap · Aug 1, 2026
220 ms
seed-bootstrap · Aug 1, 2026
Z.ai: GLM 5V Turbo (+40 ms)
Output speed
112 tok/s
seed-bootstrap · Aug 1, 2026
90 tok/s
seed-bootstrap · Aug 1, 2026
Z.ai: GLM 5V Turbo (+22 tok/s)
Input price
$1.2/1M
openrouter · Aug 17, 2026
$0.3/1M
seed-bootstrap · Aug 1, 2026
Yi-Large (+$0.9/1M)
Output price
$4/1M
openrouter · Aug 17, 2026
$0.3/1M
seed-bootstrap · Aug 1, 2026
Yi-Large (+$3.7/1M)
Context window
203k
openrouter · Aug 17, 2026
33k
seed-bootstrap · Aug 1, 2026
Z.ai: GLM 5V Turbo (+170k)
Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 85% with Yi-Large
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: $42Out: $60
Yi-Large$15.00 / mo
In: $10.5Out: $4.5
Estimated Cost Delta

Yi-Large is estimated to save $87.00/month ($1,044/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
    Yi-Large:Pick Yi-Large 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 agentsZ.ai: GLM 5V Turbo

Higher SWE-bench (65.2%).

High-volume chatYi-Large

Lower output list price ($0.3/1M).

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

Lower TTFT (180 ms).

Long-document RAGZ.ai: GLM 5V Turbo

Larger window (203k).

Screenshots / visionZ.ai: GLM 5V Turbo

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

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsZ.ai: GLM 5V TurboHigher SWE-bench (65.2%).
High-volume chatYi-LargeLower output list price ($0.3/1M).
Voice / low-latency UIZ.ai: GLM 5V TurboLower TTFT (180 ms).
Long-document RAGZ.ai: GLM 5V TurboLarger window (203k).
Screenshots / visionZ.ai: GLM 5V TurboZ.ai: GLM 5V Turbo is the side marked multimodal in the catalog.
Community Sentiment

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CompareLLM Matrix

Verified head-to-head card

LIVE
VS
Zhipu

Z.ai: GLM 5V Turbo

Elo 1,475
LiveBench63.8%
SWE-bench65.2%
Speed112 tok/s
Output cost$4/1M
01.AI

Yi-Large

Elo 1,430
LiveBench60.5%
SWE-bench53.8%
Speed90 tok/s
Output cost$0.3/1M

Frequently Asked Questions

Which is better overall, Z.ai: GLM 5V Turbo or Yi-Large?
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 Yi-Large?
Z.ai: GLM 5V Turbo leads SWE-bench at 65.2% vs 53.8%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?
Yi-Large output tokens are $0.3/1M versus $4/1M. Input prices and retry rates still move the real bill.
Which is faster, Z.ai: GLM 5V Turbo or Yi-Large?
Z.ai: GLM 5V Turbo has the lower time-to-first-token (180 ms vs 220 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 33k.
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. Z.ai: GLM 5V Turbo and Yi-Large 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 Yi-Large matchups →
Z.ai: GLM 5V Turbo vs GLM-5.2 (previous glm)Z.ai: GLM 5V Turbo vs GLM-5.3 (next glm)Yi-Large vs Yi-Lightning (next other)Yi-Lightning vs Z.ai: GLM 5V TurboDoubao Pro 1.5 vs Z.ai: GLM 5V TurboGemini 2.0 Flash Thinking vs Z.ai: GLM 5V Turbo