Pairwise benchmark snapshot · Aug 16, 2026

Claude Fable 5 vs GLM-5.3 benchmark

Name: Claude Fable 5 vs GLM-5.3 AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Claude Fable 5 (Anthropic) and GLM-5.3 (Zhipu) using the latest snapshots we have as of Aug 16, 2026. On preference Elo, Claude Fable 5 is ahead by 58 points (1,616 vs 1,558; seed-bootstrap (Aug 16, 2026)). On SWE-bench coding, Claude Fable 5 resolves 80% versus 76.4% (seed-bootstrap (Aug 16, 2026)). GLM-5.3 streams faster (90 tok/s) while GLM-5.3 is the cheaper output token ($1.8/1M). Claude Fable 5 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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Anthropic

Claude Fable 5

Anthropic top-tier long-horizon model. Official API $10/$50 per 1M tokens (Claude Platform pricing, Aug 2026).

Elo 1,616$50/1M out

Zhipu

GLM-5.3

Z.ai Aug 14 2026 post-train of the GLM-5.2 744B base. Coding-plan live; open weights promised after a two-week safety review (z.ai/blog/glm-5.3).

Elo 1,558$1.8/1M out

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Model A

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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 Fable 5 (6)vsGLM-5.3 (4)

Claude Fable 5: 6W (60%)Overall: Claude Fable 5GLM-5.3: 4W (40%)

← Claude Fable 5GLM-5.3 →

Claude Fable 5 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,616vs1,558

Coding Elo

1,622vs1,586

SWE-bench

80%vs76.4%

LiveBench

75.2%vs70.8%

GPQA Diamond

87.6%vs83.2%

Claude Fable 5: 5WGLM-5.3: 0W

GLM-5.3 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

58 tok/svs90 tok/s

Time to first token

340 msvs255 ms

Claude Fable 5: 0WGLM-5.3: 2W

GLM-5.3 (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$50/1Mvs$1.8/1M

Input price

$10/1Mvs$0.5/1M

Context window

1Mvs200k

Claude Fable 5: 1WGLM-5.3: 2W

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 AdvantageClaude Fable 5 4/6

Preference Elo

Claude Fable 5

58 pts advantage

Throughput Speed

GLM-5.3

32 tok/s faster

Price Efficiency

GLM-5.3

$48.20/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

+4%1,616

EloHigh is better

1,558

Code Elo

High is better

+2%1,622

Code EloHigh is better

1,586

LiveBench

High is better

+6%75.2%

LiveBenchHigh is better

70.8%

SWE-bench

High is better

+5%80%

SWE-benchHigh is better

76.4%

GPQA

High is better

+5%87.6%

GPQAHigh is better

83.2%

TTFT

Low is better

340 ms

TTFTLow is better

255 ms+33%

Speed

High is better

58 tok/s

SpeedHigh is better

90 tok/s+55%

In $

Low is better

$10/1M

In $Low is better

$0.5/1M+1900%

Out $

Low is better

$50/1M

Out $Low is better

$1.8/1M+2678%

Context

High is better

+400%1M

ContextHigh is better

200k

Interactive Simulator

Workload Cost & Savings Calculator

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

Save up to 96% with GLM-5.3

Monthly Volume50M tokens/mo

Quick Presets:

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

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

Claude Fable 5$1,100.00 / mo

In: $350.00Out: $750.00

GLM-5.3$44.50 / mo

In: $17.50Out: $27.00

Estimated Cost Delta

GLM-5.3 is estimated to save $1,055.50/month ($12,666/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Claude Fable 5:Pick Claude Fable 5 when repo-level coding accuracy is the constraint.
2
GLM-5.3:Pick GLM-5.3 when you are optimizing output cost.
3
GLM-5.3:Pick GLM-5.3 when time-to-first-token matters more than peak Elo.

Recommended Workload Routing

Repo / coding agentsClaude Fable 5

Higher SWE-bench (80%).

High-volume chatGLM-5.3

Lower output list price ($1.8/1M).

Voice / low-latency UIGLM-5.3

Lower TTFT (255 ms).

Long-document RAGClaude Fable 5

Larger window (1M).

Screenshots / visionClaude Fable 5

Both accept images. Defaulting to the higher-Elo side (Claude Fable 5).

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Claude Fable 5	Higher SWE-bench (80%).
High-volume chat	GLM-5.3	Lower output list price ($1.8/1M).
Voice / low-latency UI	GLM-5.3	Lower TTFT (255 ms).
Long-document RAG	Claude Fable 5	Larger window (1M).
Screenshots / vision	Claude Fable 5	Both accept images. Defaulting to the higher-Elo side (Claude Fable 5).

Related Editorial Dispatches & Benchmark Notes

View all news

launchAug 14, 2026

GLM-5.3 (Aug 14): Z.ai post-train of the 5.2 744B base

Coding-plan live; open weights promised after a two-week safety review. Newest Zhipu row.

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.

launchJun 15, 2026

Claude Fable 5: the $10/$50 long-horizon Anthropic SKU

Fable 5 is not Sonnet with extra adjectives. It is the expensive long-horizon row. Read SWE-bench and output price together.

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LIVE

Anthropic

Claude Fable 5

Elo 1,616

LiveBench75.2%

SWE-bench80%

Speed58 tok/s

Output cost$50/1M

Zhipu

GLM-5.3

Elo 1,558

LiveBench70.8%

SWE-bench76.4%

Speed90 tok/s

Output cost$1.8/1M

Frequently Asked Questions

Which is better overall, Claude Fable 5 or GLM-5.3?: Claude Fable 5 has the higher preference Elo in our latest snapshot (1,616). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Claude Fable 5 or GLM-5.3?: Claude Fable 5 leads SWE-bench at 80% vs 76.4%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?: GLM-5.3 output tokens are $1.8/1M versus $50/1M. Input prices and retry rates still move the real bill.
Which is faster, Claude Fable 5 or GLM-5.3?: GLM-5.3 has the lower time-to-first-token (255 ms vs 340 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?: Claude Fable 5 accepts 1M 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 Fable 5 and GLM-5.3 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Claude Fable 5 matchups →|All GLM-5.3 matchups →

GLM-5.3 vs GLM-5.2 (previous glm)Claude Opus 5 vs Claude Fable 5 Claude Opus 4.8 vs Claude Fable 5 Claude Opus 4.6 vs GLM-5.3 Claude Opus 4.5 vs GLM-5.3 Claude Sonnet 5 vs GLM-5.3

Claude Fable 5 vs GLM-5.3 benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Claude Fable 5 (6)vsGLM-5.3 (4)

Claude Fable 5: 6W (60%)Overall: Claude Fable 5GLM-5.3: 4W (40%)

← Claude Fable 5GLM-5.3 →

Claude Fable 5 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,616vs1,558

Coding Elo

1,622vs1,586

SWE-bench

80%vs76.4%

LiveBench

75.2%vs70.8%

GPQA Diamond

87.6%vs83.2%

Claude Fable 5: 5WGLM-5.3: 0W

GLM-5.3 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

58 tok/svs90 tok/s

Time to first token

340 msvs255 ms

Claude Fable 5: 0WGLM-5.3: 2W

GLM-5.3 (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$50/1Mvs$1.8/1M

Input price

$10/1Mvs$0.5/1M

Context window

1Mvs200k

Claude Fable 5: 1WGLM-5.3: 2W

Recommended Workload Routing

Repo / coding agentsClaude Fable 5

Higher SWE-bench (80%).

High-volume chatGLM-5.3

Lower output list price ($1.8/1M).

Voice / low-latency UIGLM-5.3

Lower TTFT (255 ms).

Long-document RAGClaude Fable 5

Larger window (1M).

Screenshots / visionClaude Fable 5

Both accept images. Defaulting to the higher-Elo side (Claude Fable 5).

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Claude Fable 5	Higher SWE-bench (80%).
High-volume chat	GLM-5.3	Lower output list price ($1.8/1M).
Voice / low-latency UI	GLM-5.3	Lower TTFT (255 ms).
Long-document RAG	Claude Fable 5	Larger window (1M).
Screenshots / vision	Claude Fable 5	Both accept images. Defaulting to the higher-Elo side (Claude Fable 5).

Frequently Asked Questions

Which is better overall, Claude Fable 5 or GLM-5.3?

Claude Fable 5 has the higher preference Elo in our latest snapshot (1,616). “Better” still depends on coding, price, and latency — see the table.

Which is better at coding, Claude Fable 5 or GLM-5.3?

Claude Fable 5 leads SWE-bench at 80% vs 76.4%. SWE-bench is one harness, not your repo.

Which is cheaper to run in production?

GLM-5.3 output tokens are $1.8/1M versus $50/1M. Input prices and retry rates still move the real bill.

Which is faster, Claude Fable 5 or GLM-5.3?

GLM-5.3 has the lower time-to-first-token (255 ms vs 340 ms). Tokens/sec is a separate column if you care about long completions.

Which has the larger context window?

Claude Fable 5 accepts 1M 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 Fable 5 and GLM-5.3 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

Claude Fable 5

GLM-5.3

GLM-5.3

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

GLM-5.3 (Aug 14): Z.ai post-train of the 5.2 744B base

GLM-5.2 remains the prior Zhipu flagship for upgrade pairs

Claude Fable 5: the $10/$50 long-horizon Anthropic SKU

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Claude Fable 5

GLM-5.3

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

Claude Fable 5

GLM-5.3

GLM-5.3

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

GLM-5.3 (Aug 14): Z.ai post-train of the 5.2 744B base

GLM-5.2 remains the prior Zhipu flagship for upgrade pairs

Claude Fable 5: the $10/$50 long-horizon Anthropic SKU

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

Claude Fable 5

GLM-5.3

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons