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  5. GLM 5.1vsGPT-4o (Omni)
Updated Apr 2026

GLM 5.1vsGPT-4o (Omni)

GLM 5.1 is cheaper than GPT-4o (Omni) at $1.4/M vs $2.5/M input tokens.

GLM 5.1 and GPT-4o (Omni) compared across 52 shared prompts
SpecGLM 5.1GPT-4o (Omni)
Input price$1.4/M tokens$2.5/M tokens
Output price$4.4/M tokens$10/M tokens
Context window203K tokens128K tokens
WeightsOpenClosed
Free API (OpenRouter)NoNo
ReleasedApr 2026May 2024
Our Verdict
GLM 5.1
GLM 5.1
GPT-4o (Omni)
GPT-4o (Omni)

Not enough votes to call it. On the specs, nothing separates them.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

GLM 5.1
Input
$1.40
1.8× cheaper
Output
$4.40
2.3× cheaper
GPT-4o (Omni)
Input
$2.50
Output
$10.00

GLM 5.1 is cheaper on both: 1.8× input, 2.3× output.

Where to run it

17 hosts, cheapest first

GLM 5.115 hosts
HostInOutContextUptime
Baidu Qianfanfp8$0.96 in·$3.03 out·203k·99.3% upSStreamLakefp8$0.97 in·$3.04 out·200k·99.8% upDDeepInfrafp4$1.05 in·$3.50 out·203k·100% upSSiliconFlowfp8$1.19 in·$3.74 out·205k·100% upCCrusoefp8$1.20 in·$4.40 out·203k·98.5% upAAtlasCloudfp8$1.26 in·$3.96 out·203k·99.2% up
9 more hostsFewer hosts
Alibaba Cloudfp8$1.33 in·$4.18 out·203k·100% upNNovitafp8$1.38 in·$4.40 out·205k·99.6% upFFriendli$1.40 in·$4.40 out·203k·100% upGGMI Cloudfp8$1.40 in·$4.40 out·203k·99.7% upZ.aifp8$1.40 in·$4.40 out·203k·99.8% upVVenicefp8$1.40 in·$4.40 out·200k·99.2% upCChutesfp8degraded$0.98 in·$3.08 out·203k·89.8% upPPhaladegraded$1.21 in·$4.20 out·203k·90.2% upNNebiusfp8degraded$1.40 in·$4.40 out·203k·94% up
GPT-4o (Omni)2 hosts
HostInOutContextUptime
Azure AI Foundry$2.50 in·$10.00 out·128k·99.9% upOpenAI$2.50 in·$10.00 out·128k·99.9% up

Per million tokens. Prices and uptime via OpenRouter, checked 13 Sep 2026.

Writing DNA

Style Comparison

Similarity
47%

GPT-4o (Omni) uses 2.5x more emoji

GLM 5.1
GPT-4o (Omni)
54%Vocabulary54%
18wSentence Length18w
0.31Hedging0.72
3.6Bold7.3
2.6Lists5.6
0.00Emoji0.03
0.43Headings1.40
0.11Transitions0.26
Based on 27 + 24 text responses
Research

What we learned reading every model

FAQ

Common questions

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