Pairwise benchmark snapshot · Aug 17, 2026

Z.ai: GLM 5V Turbo vs OpenAI: o1 benchmark

Name: Z.ai: GLM 5V Turbo vs OpenAI: o1 AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Z.ai: GLM 5V Turbo (Zhipu) and OpenAI: o1 (OpenAI) using the latest snapshots we have as of Aug 17, 2026. On preference Elo, OpenAI: o1 is ahead by 37 points (1,512 vs 1,475; lmarena (Aug 17, 2026)). On SWE-bench coding, Z.ai: GLM 5V Turbo resolves 65.2% versus 48.9% (seed-bootstrap (Aug 1, 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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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

OpenAI

OpenAI: o1

Auto-discovered from OpenRouter (openai/o1). Preview until a second source matches.

Elo 1,512$60/1M out

OpenAI: o1 Inference Compute Profile

Inference-Time Compute & Reasoning EffortDynamic CoT

OpenAI: o1 Reasoning Scaler & Token Billing Simulator

Param: reasoning_effort

Reasoning models scale test-time compute by generating hidden chain-of-thought (CoT) tokens. These tokens are billed at standard output rates and directly expand latency (TTFT) in exchange for higher GPQA Diamond and SWE-bench Verified problem resolve rates.

Estimated TTFT

420 ms

1.0x (Standard eval)

CoT Thinking Tokens

~1,500

Billed as output tokens

Est. Cost / 1k Calls

$115.50

4.5x base invoice

STEM / SWE Boost

+4.5%

GPQA & SWE-bench scaling

Medium (Standard) Operational Profile

Default evaluation baseline balancing reasoning depth with stream rate.

Direct Provider APIOpenAI

"reasoning_effort": "medium"

OpenRouter Unified APIUnified Gateway

"reasoning": {
  "effort": "medium",
  "max_tokens": 1500
}

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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.

Z.ai: GLM 5V Turbo (6)vsOpenAI: o1 (4)

Z.ai: GLM 5V Turbo: 6W (60%)Overall: Z.ai: GLM 5V TurboOpenAI: o1: 4W (40%)

← Z.ai: GLM 5V TurboOpenAI: o1 →

OpenAI: o1 (4/5)

Intelligence & Reasoning

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

Preference Elo

1,475vs1,512

Coding Elo

1,482vs1,485

SWE-bench

65.2%vs48.9%

LiveBench

63.8%vs65.4%

GPQA Diamond

77.4%vs78%

Z.ai: GLM 5V Turbo: 1WOpenAI: o1: 4W

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

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

112 tok/svs45 tok/s

Time to first token

180 msvs420 ms

Z.ai: GLM 5V Turbo: 2WOpenAI: o1: 0W

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

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$4/1Mvs$60/1M

Input price

$1.2/1Mvs$15/1M

Context window

203kvs200k

Z.ai: GLM 5V Turbo: 3WOpenAI: o1: 0W

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 4/6

Preference Elo

OpenAI: o1

37 pts advantage

Throughput Speed

Z.ai: GLM 5V Turbo

67 tok/s faster

Token Price Efficiency

Z.ai: GLM 5V Turbo

$56.00/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,475

EloHigh is better

1,512+3%

Code Elo

High is better

1,482

Code EloHigh is better

1,485

LiveBench

High is better

63.8%

LiveBenchHigh is better

65.4%+3%

SWE-bench

High is better

+33%65.2%

SWE-benchHigh is better

48.9%

GPQA

High is better

77.4%

GPQAHigh is better

78%+1%

TTFT

Low is better

+133%180 ms

TTFTLow is better

420 ms

Speed

High is better

+149%112 tok/s

SpeedHigh is better

45 tok/s

In $

Low is better

+1150%$1.20 / 1M

In $Low is better

$15.00 / 1M

Out $

Low is better

+1400%$4.00 / 1M

Out $Low is better

$60.00 / 1M

Context

High is better

+1%203k

ContextHigh is better

200k

Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 93% 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)

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

In: $42Out: $60

OpenAI: o1$1,425.00 / mo

In: $525Out: $900

Estimated Cost Delta

Z.ai: GLM 5V Turbo is estimated to save $1,323.00/month ($15,876/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
Z.ai: GLM 5V Turbo:Pick Z.ai: GLM 5V Turbo when time-to-first-token matters more than peak Elo.
3
OpenAI: o1:Pick OpenAI: o1 as the default general assistant.

Recommended Workload Routing

Repo / coding agentsZ.ai: GLM 5V Turbo

Higher SWE-bench (65.2%).

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 / visionOpenAI: o1

Both accept images. Defaulting to the higher-Elo side (OpenAI: o1).

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Z.ai: GLM 5V Turbo	Higher SWE-bench (65.2%).
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	OpenAI: o1	Both accept images. Defaulting to the higher-Elo side (OpenAI: o1).

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CompareLLM Matrix

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LIVE

Zhipu

Z.ai: GLM 5V Turbo

Elo 1,475

LiveBench63.8%

SWE-bench65.2%

Speed112 tok/s

Output cost$4/1M

OpenAI

OpenAI: o1

Elo 1,512

LiveBench65.4%

SWE-bench48.9%

Speed45 tok/s

Output cost$60/1M

Frequently Asked Questions

Which is better overall, Z.ai: GLM 5V Turbo or OpenAI: o1?: OpenAI: o1 has the higher preference Elo in our latest snapshot (1,512). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Z.ai: GLM 5V Turbo or OpenAI: o1?: Z.ai: GLM 5V Turbo leads SWE-bench at 65.2% vs 48.9%. 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 $60/1M. Input prices and retry rates still move the real bill.
Which is faster, Z.ai: GLM 5V Turbo or OpenAI: o1?: Z.ai: GLM 5V Turbo has the lower time-to-first-token (180 ms vs 420 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. Z.ai: GLM 5V Turbo and OpenAI: o1 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 OpenAI: o1 matchups →

Z.ai: GLM 5V Turbo vs GLM-5.2 (previous glm)Z.ai: GLM 5V Turbo vs GLM-5.3 (next glm)OpenAI: o1 vs GPT-4o (previous gpt-flagship)OpenAI: o1 vs GPT-4.5 Orion (next gpt-flagship)GPT-5.6 Terra vs OpenAI: o1 GPT-5 vs OpenAI: o1

Z.ai: GLM 5V Turbo vs OpenAI: o1 benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Z.ai: GLM 5V Turbo (6)vsOpenAI: o1 (4)

Z.ai: GLM 5V Turbo: 6W (60%)Overall: Z.ai: GLM 5V TurboOpenAI: o1: 4W (40%)

← Z.ai: GLM 5V TurboOpenAI: o1 →

OpenAI: o1 (4/5)

Intelligence & Reasoning

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

Preference Elo

1,475vs1,512

Coding Elo

1,482vs1,485

SWE-bench

65.2%vs48.9%

LiveBench

63.8%vs65.4%

GPQA Diamond

77.4%vs78%

Z.ai: GLM 5V Turbo: 1WOpenAI: o1: 4W

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

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

112 tok/svs45 tok/s

Time to first token

180 msvs420 ms

Z.ai: GLM 5V Turbo: 2WOpenAI: o1: 0W

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

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$4/1Mvs$60/1M

Input price

$1.2/1Mvs$15/1M

Context window

203kvs200k

Z.ai: GLM 5V Turbo: 3WOpenAI: o1: 0W

Recommended Workload Routing

Repo / coding agentsZ.ai: GLM 5V Turbo

Higher SWE-bench (65.2%).

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 / visionOpenAI: o1

Both accept images. Defaulting to the higher-Elo side (OpenAI: o1).

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Z.ai: GLM 5V Turbo	Higher SWE-bench (65.2%).
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	OpenAI: o1	Both accept images. Defaulting to the higher-Elo side (OpenAI: o1).

Frequently Asked Questions

Which is better overall, Z.ai: GLM 5V Turbo or OpenAI: o1?

OpenAI: o1 has the higher preference Elo in our latest snapshot (1,512). “Better” still depends on coding, price, and latency — see the table.

Which is better at coding, Z.ai: GLM 5V Turbo or OpenAI: o1?

Z.ai: GLM 5V Turbo leads SWE-bench at 65.2% vs 48.9%. 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 $60/1M. Input prices and retry rates still move the real bill.

Which is faster, Z.ai: GLM 5V Turbo or OpenAI: o1?

Z.ai: GLM 5V Turbo has the lower time-to-first-token (180 ms vs 420 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. Z.ai: GLM 5V Turbo and OpenAI: o1 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.