Pairwise benchmark snapshot · Aug 16, 2026

GLM-5.2 vs Grok 4.6 benchmark

Name: GLM-5.2 vs Grok 4.6 AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares GLM-5.2 (Zhipu) and Grok 4.6 (xAI) using the latest snapshots we have as of Aug 16, 2026. On preference Elo, Grok 4.6 is ahead by 100 points (1,592 vs 1,492; seed-bootstrap (Aug 16, 2026)). On SWE-bench coding, GLM-5.2 resolves 69.3% versus 69.1% (seed-bootstrap (Aug 1, 2026)). Grok 4.6 streams faster (118 tok/s) while GLM-5.2 is the cheaper output token ($0.97/1M). GLM-5.2 has the larger context window (1M 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

GLM-5.2

Zhipu flagship. Strong Chinese/English coding and agents.

Elo 1,492$0.9680000000000001/1M out

xAI

Grok 4.6

xAI Aug 12 2026 post-training refresh of Grok 4.5. Same $2/$6 API price, 500k context, stronger agentic traces.

Elo 1,592$6/1M 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.

GLM-5.2 (4)vsGrok 4.6 (6)

GLM-5.2: 4W (40%)Overall: Grok 4.6Grok 4.6: 6W (60%)

← GLM-5.2Grok 4.6 →

Grok 4.6 (4/5)

Intelligence & Reasoning

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

Preference Elo

1,492vs1,592

Coding Elo

1,504vs1,568

SWE-bench

69.3%vs69.1%

LiveBench

65.2%vs71.4%

GPQA Diamond

79.5%vs84.6%

GLM-5.2: 1WGrok 4.6: 4W

Grok 4.6 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

84 tok/svs118 tok/s

Time to first token

270 msvs195 ms

GLM-5.2: 0WGrok 4.6: 2W

GLM-5.2 (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.97/1Mvs$6/1M

Input price

$0.31/1Mvs$2/1M

Context window

1Mvs500k

GLM-5.2: 3WGrok 4.6: 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 AdvantageGrok 4.6 4/6

Preference Elo

Grok 4.6

100 pts advantage

Throughput Speed

Grok 4.6

34 tok/s faster

Price Efficiency

GLM-5.2

$5.03/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,492

EloHigh is better

1,592+7%

Code Elo

High is better

1,504

Code EloHigh is better

1,568+4%

LiveBench

High is better

65.2%

LiveBenchHigh is better

71.4%+10%

SWE-bench

High is better

69.3%

SWE-benchHigh is better

69.1%

GPQA

High is better

79.5%

GPQAHigh is better

84.6%+6%

TTFT

Low is better

270 ms

TTFTLow is better

195 ms+38%

Speed

High is better

84 tok/s

SpeedHigh is better

118 tok/s+40%

In $

Low is better

+549%$0.31/1M

In $Low is better

$2/1M

Out $

Low is better

+520%$0.97/1M

Out $Low is better

$6/1M

Context

High is better

+110%1M

ContextHigh is better

500k

Interactive Simulator

Workload Cost & Savings Calculator

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

Save up to 84% with GLM-5.2

Monthly Volume50M tokens/mo

Quick Presets:

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

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

GLM-5.2$25.30 / mo

In: $10.78Out: $14.52

Grok 4.6$160.00 / mo

In: $70.00Out: $90.00

Estimated Cost Delta

GLM-5.2 is estimated to save $134.70/month ($1,616/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
GLM-5.2:Pick GLM-5.2 when repo-level coding accuracy is the constraint.
2
Grok 4.6:Pick Grok 4.6 when time-to-first-token matters more than peak Elo.
3
GLM-5.2:Pick GLM-5.2 for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsGLM-5.2

Higher SWE-bench (69.3%).

High-volume chatGLM-5.2

Lower output list price ($0.97/1M).

Voice / low-latency UIGrok 4.6

Lower TTFT (195 ms).

Long-document RAGGLM-5.2

Larger window (1M).

Screenshots / visionGrok 4.6

Both accept images. Defaulting to the higher-Elo side (Grok 4.6).

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	GLM-5.2	Higher SWE-bench (69.3%).
High-volume chat	GLM-5.2	Lower output list price ($0.97/1M).
Voice / low-latency UI	Grok 4.6	Lower TTFT (195 ms).
Long-document RAG	GLM-5.2	Larger window (1M).
Screenshots / vision	Grok 4.6	Both accept images. Defaulting to the higher-Elo side (Grok 4.6).

Related Editorial Dispatches & Benchmark Notes

View all news

newsAug 16, 2026

GLM-5.2 vs GLM 5V Turbo Price and SWE-bench 2026

GLM-5.2 undercuts GLM 5V Turbo by 74.2% on input at $0.31/1M, with 1,492 Elo and 69.3% SWE-bench in dated 2026 snapshots.

compareAug 12, 2026

Grok vs ChatGPT: price and Elo, not a personality contest

Brand hub remaps to top xAI vs top OpenAI. After Aug 12 that is Grok 4.6 vs Sol.

launchAug 12, 2026

Grok 4.6 (Aug 12): post-training refresh, same $2/$6 list

xAI’s Aug 12 2026 refresh of Grok 4.5. 500k context. The Grok vs ChatGPT hub remaps here.

launchJun 18, 2026

GLM-5.2 remains the prior Zhipu flagship for upgrade pairs

Strong Chinese/English coding. 5.3 is the new row; 5.2 stays so the delta is visible.

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LIVE

Zhipu

GLM-5.2

Elo 1,492

LiveBench65.2%

SWE-bench69.3%

Speed84 tok/s

Output cost$0.97/1M

xAI

Grok 4.6

Elo 1,592

LiveBench71.4%

SWE-bench69.1%

Speed118 tok/s

Output cost$6/1M

Frequently Asked Questions

Which is better overall, GLM-5.2 or Grok 4.6?: Grok 4.6 has the higher preference Elo in our latest snapshot (1,592). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, GLM-5.2 or Grok 4.6?: GLM-5.2 leads SWE-bench at 69.3% vs 69.1%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?: GLM-5.2 output tokens are $0.97/1M versus $6/1M. Input prices and retry rates still move the real bill.
Which is faster, GLM-5.2 or Grok 4.6?: Grok 4.6 has the lower time-to-first-token (195 ms vs 270 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?: GLM-5.2 accepts 1M tokens versus 500k.
Can I self-host either model?: GLM-5.2 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. GLM-5.2 and Grok 4.6 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All GLM-5.2 matchups →|All Grok 4.6 matchups →

GLM-5.2 vs GLM-5.3 (next glm)Grok 4.6 vs Grok 4 (previous grok)GLM-5.3 vs Grok 4.6 Grok 4 vs GLM-5.2 Gemini 2.0 Flash Thinking vs GLM-5.2 DeepSeek V4 Flash vs GLM-5.2

GLM-5.2 vs Grok 4.6 benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

GLM-5.2 (4)vsGrok 4.6 (6)

GLM-5.2: 4W (40%)Overall: Grok 4.6Grok 4.6: 6W (60%)

← GLM-5.2Grok 4.6 →

Grok 4.6 (4/5)

Intelligence & Reasoning

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

Preference Elo

1,492vs1,592

Coding Elo

1,504vs1,568

SWE-bench

69.3%vs69.1%

LiveBench

65.2%vs71.4%

GPQA Diamond

79.5%vs84.6%

GLM-5.2: 1WGrok 4.6: 4W

Grok 4.6 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

84 tok/svs118 tok/s

Time to first token

270 msvs195 ms

GLM-5.2: 0WGrok 4.6: 2W

GLM-5.2 (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$0.97/1Mvs$6/1M

Input price

$0.31/1Mvs$2/1M

Context window

1Mvs500k

GLM-5.2: 3WGrok 4.6: 0W

Recommended Workload Routing

Repo / coding agentsGLM-5.2

Higher SWE-bench (69.3%).

High-volume chatGLM-5.2

Lower output list price ($0.97/1M).

Voice / low-latency UIGrok 4.6

Lower TTFT (195 ms).

Long-document RAGGLM-5.2

Larger window (1M).

Screenshots / visionGrok 4.6

Both accept images. Defaulting to the higher-Elo side (Grok 4.6).

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	GLM-5.2	Higher SWE-bench (69.3%).
High-volume chat	GLM-5.2	Lower output list price ($0.97/1M).
Voice / low-latency UI	Grok 4.6	Lower TTFT (195 ms).
Long-document RAG	GLM-5.2	Larger window (1M).
Screenshots / vision	Grok 4.6	Both accept images. Defaulting to the higher-Elo side (Grok 4.6).

Frequently Asked Questions

Which is better overall, GLM-5.2 or Grok 4.6?

Grok 4.6 has the higher preference Elo in our latest snapshot (1,592). “Better” still depends on coding, price, and latency — see the table.

Which is better at coding, GLM-5.2 or Grok 4.6?

GLM-5.2 leads SWE-bench at 69.3% vs 69.1%. SWE-bench is one harness, not your repo.

Which is cheaper to run in production?

GLM-5.2 output tokens are $0.97/1M versus $6/1M. Input prices and retry rates still move the real bill.

Which is faster, GLM-5.2 or Grok 4.6?

Grok 4.6 has the lower time-to-first-token (195 ms vs 270 ms). Tokens/sec is a separate column if you care about long completions.

Which has the larger context window?

GLM-5.2 accepts 1M tokens versus 500k.

Can I self-host either model?

GLM-5.2 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. GLM-5.2 and Grok 4.6 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

Grok 4.6

Grok 4.6

GLM-5.2

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

GLM-5.2 vs GLM 5V Turbo Price and SWE-bench 2026

Grok vs ChatGPT: price and Elo, not a personality contest

Grok 4.6 (Aug 12): post-training refresh, same $2/$6 list

GLM-5.2 remains the prior Zhipu flagship for upgrade pairs

Cast Your Matchup Vote

Community Discussions (0)

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CompareLLM Matrix

GLM-5.2

Grok 4.6

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

Grok 4.6

Grok 4.6

GLM-5.2

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

GLM-5.2 vs GLM 5V Turbo Price and SWE-bench 2026

Grok vs ChatGPT: price and Elo, not a personality contest

Grok 4.6 (Aug 12): post-training refresh, same $2/$6 list

GLM-5.2 remains the prior Zhipu flagship for upgrade pairs

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

GLM-5.2

Grok 4.6

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons