Prices verified 2026-09-02; GLM 5.3 figures as of September 2026

Fable 5.1 pricing is from Anthropic's September 2 release. GLM 5.3 rates are Zhipu list prices as of September 2026.

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Fable 5.1 vs GLM 5.3 · September 2026

Claude Fable 5.1 vs GLM 5.3

Anthropic's latest flagship against Zhipu's 2M-context open-weights challenger — specs, benchmarks, price, and when each model is the right call.

TL;DR

Fable 5.1 leads on agentic coding (87.7% SWE-bench Verified) and complex reasoning. GLM 5.3 wins on price (~8x cheaper input), 2M context, and self-hosting with open weights.

Specs at a glance

Fable 5.1 prices are Anthropic list rates; GLM 5.3 rates are Zhipu figures as of September 2026.

SpecClaude Fable 5.1GLM 5.3
Model IDclaude-fable-5-1-20260902GLM-5.3
Input price (per M tokens)$10.00$1.20
Output price (per M tokens)$50.00$3.60
Prompt cache read (per M tokens)$1.00$0.30
Context window1M2M
Max output128K64K
LicenseClosed API (proprietary)Open weights — MIT
Data retention30-day mandatoryNone (self-hostable)
Extended thinkingAdaptive budget + effort tiersStandard reasoning tiers

Fable 5.1 carries mandatory 30-day retention; GLM 5.3 is open-weights (MIT) and can be self-hosted.

Benchmark comparison

Fable 5.1 leads on coding and reasoning; GLM 5.3's 2M context is unmatched for whole-repo ingestion.

SpecClaude Fable 5.1GLM 5.3
SWE-bench Verified87.7%68.4%
FrontierMath38.2%24.1%
Humanity's Last Exam (HLE)61.4%42.8%
OSWorld89.6%64.5%
Needle-in-haystack (context)99.8% (1M)98.2% (2M)
Time to first tokenLow (optimized streaming)Fast (regional edge)

Fable 5.1 from Anthropic September 2, 2026 release. GLM 5.3 SWE-bench 68.4% vendor-reported by Zhipu.

How to decide

Route by what you actually need, not by the headline.

  • You need 2M-token whole-repo analysis

    GLM 5.3's 2M context lets you ingest an entire monorepo in one shot. Fable 5.1's 1M window requires chunking for the largest codebases.

  • You're cost-sensitive at scale

    At $1.20/$3.60 vs $10/$50, GLM 5.3 is roughly 8x cheaper on input. For high-volume batch work, GLM 5.3 wins on cost.

  • You need frontier agentic coding

    Fable 5.1's 87.7% SWE-bench and 38.2% FrontierMath are a tier above GLM 5.3's 68.4% and 24.1%.

  • You need to self-host or air-gap

    GLM 5.3's MIT open weights let you run locally or fine-tune. Fable 5.1 is a closed API only.

  • Retention or data sovereignty matters

    Fable 5.1's 30-day mandatory retention is a blocker for some teams. GLM 5.3 self-hosted gives full data control.

The ~8x input price gap narrows when you factor in failed attempts on hard agentic tasks.

Estimate the real cost

Run both models through your own token mix before you commit to a production route.

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