SSyncDev

AI model comparison

Claude 3.5 Sonnet vs GLM-5.1

Compare recorded price, context, output limits, speed, latency, capabilities, and input/output support. Every missing value stays visible, and unsourced benchmarks are excluded.

This Claude 3.5 Sonnet vs GLM-5.1 comparison is designed for teams choosing between two production model records, not for declaring a universal winner. Claude 3.5 Sonnet by Anthropic currently records 200K context, 8.2K maximum output, $3.00 input per 1M tokens, $15.00 output per 1M tokens, 78 t/s recorded output speed, 0.60s recorded time to first token. GLM-5.1 by Zhipu AI records 200K context, 131.1K maximum output, $1.40 input per 1M tokens, $4.40 output per 1M tokens. The tables below separate documented capabilities, commercial limits, directory measurements, and source-linked benchmark evidence so you can see where the data is complete and where independent testing is still required.

Side-by-sideSpecs and pricing, compared

Anthropic

Claude 3.5 Sonnet

The 2024 Sonnet that set the standard for practical coding work — now well behind the current Claude line at identical pricing.

Context
200K
Max output
8.2K
Input / 1M
$3.00
Output / 1M
$15.00
Output speed
78 t/s

Accepts

  • Text input
  • Image input

Produces

  • Text output
Full model profileVendor docs ↗
VS

Zhipu AI

GLM-5.1

Strong GLM coding model for agentic engineering, terminals, and repository generation

Context
200K
Max output
131.1K
Input / 1M
$1.40
Output / 1M
$4.40
Output speed
—

Accepts

  • Text input

Produces

  • Text output
Full model profileVendor docs ↗

At a glance

Decision snapshot

This is a directional summary of the values recorded in this directory—not a universal quality verdict. Test the finalists on your own prompts before committing.

Where Claude 3.5 Sonnet leads in recorded data

No complete recorded factor currently favors this model. That does not establish lower real-world quality.

Where GLM-5.1 leads in recorded data

  • Maximum output: 131.1K
  • Input price: $1.40
  • Output price: $4.40

Context capacity

Higher listed limit

Claude 3.5 Sonnet:200K

GLM-5.1:200K

Same recorded value

Maximum output

Higher listed limit

Claude 3.5 Sonnet:8.2K

GLM-5.1:131.1K

GLM-5.1

Input price

Lower recorded price

Claude 3.5 Sonnet:$3.00

GLM-5.1:$1.40

GLM-5.1

Output price

Lower recorded price

Claude 3.5 Sonnet:$15.00

GLM-5.1:$4.40

GLM-5.1

Output speed

Higher recorded throughput

Claude 3.5 Sonnet:78 t/s

GLM-5.1:—

No complete comparison

Time to first token

Lower recorded latency

Claude 3.5 Sonnet:0.60s

GLM-5.1:—

No complete comparison

Intelligence Index

Higher directory index

Claude 3.5 Sonnet:80.1

GLM-5.1:—

No complete comparison

Evidence

Verified shared benchmarks

A score appears only when both records include a verified source. It is not treated as a universal ranking.

These two models haven't been measured on the same benchmark yet, so there's nothing meaningful to chart. Comparing scores from different tests would tell you more about the tests than the models — the specs and pricing above are the better guide here.

Specifications

Pricing, limits and capabilities

SpecificationClaude 3.5 SonnetGLM-5.1
ProviderAnthropicZhipu AI
Model familyClaude 3.5glm
Accepted inputstext, imagetext
Produced outputstexttext
Context window200K200K
Max output8.2K131.1KRecorded lead
Intelligence Index80.1—
Input price / 1M$3.00$1.40Recorded lead
Output price / 1M$15.00$4.40Recorded lead
Output speed78 t/s—
Time to first token0.60s—
Reasoning modeDocumentedDocumented
Tool callingDocumentedDocumented
Image inputDocumentedNot documented
Audio inputNot documentedNot documented
Structured outputDocumentedDocumented
LicenseProprietaryOpen weights
ReleasedJun 20, 2024Apr 7, 2026

Workload guidance

Which model should you choose?

Claude 3.5 Sonnet has no complete recorded factor that establishes a lead. GLM-5.1 currently leads on larger maximum output, lower recorded input price, lower recorded output price. Choose according to the constraints that matter to your workload, then run the same representative prompts against both models before making a production commitment. Neither the larger number nor the lower price is automatically the better choice: prompt quality, tool reliability, modality support, rate limits, data policy, and provider implementation can change the result. Use this page to build a shortlist, confirm current terms in the linked sources, and validate quality, latency, and cost with your own traffic.

Provenance

Sources and data limits

Prices and hosted performance can change. SyncDev records source references and clearly separates documented specifications from measured values; confirm commercial terms with the provider before deployment.

Questions people ask

It compares recorded context and output limits, token prices, output speed, time to first token, Intelligence Index, modality support, tool and structured-output capabilities, release information, and only source-linked benchmarks verified on both records. Missing information is labeled rather than inferred.

Compare a different pair

Choose any two approved model records and review them with the same evidence rules.

Open model comparison