GLM / Z.ai (Zhipu AI) vs Grok Speech (STT + TTS APIs)

Which one should you pick? Here's the full breakdown.

GLM / Z.ai (Zhipu AI)

A
8.0/10

Zhipu AI's open-weights family -- GLM-5.1 (launched 2026-04-07) is 744B MoE / 40B active, topped SWE-Bench Pro at 58.4 (beating GPT-5.4 and Claude Opus 4.6), MIT licensed, 200K context. Trained entirely on 100K Huawei Ascend 910B chips -- first frontier model with zero Nvidia in the training stack

Our Pick

Grok Speech (STT + TTS APIs)

A
8.1/10

xAI's standalone voice APIs -- launched 2026-04-17. Built on the stack that powers Grok Voice, Tesla vehicles, and Starlink customer support. $0.10/hr STT batch, $4.20 per 1M characters TTS, 25+ languages, word-level timestamps + speaker diarization

CategoryGLM / Z.ai (Zhipu AI)Grok Speech (STT + TTS APIs)
Ease of Use6.57.0
Output Quality8.58.5
Value9.09.0
Features8.08.0
Overall8.08.1

Pricing Comparison

FeatureGLM / Z.ai (Zhipu AI)Grok Speech (STT + TTS APIs)
Free TierYesNo
Starting Price$0$0.10

Benchmark Head-to-Head

GLM-5.1 (744B MoE / 40B active) benchmarks — Grok Speech (STT + TTS APIs) has no published benchmarks

BenchmarkScore
SWE-Bench Pro58.4%
MMLU-Pro81.2%
GPQA Diamond74.5%
HumanEval89.1%
SWE-Bench Verified64.2%
BFCL (function calling)88%

Which Should You Pick?

Pick GLM / Z.ai (Zhipu AI) if...

  • Has a free tier

Teams that need genuine MIT-licensed frontier open weights with no commercial strings. Especially strong for agentic workflows and vision (GLM-4.6V).

Visit GLM / Z.ai (Zhipu AI)

Pick Grok Speech (STT + TTS APIs) if...

Developers building voice agents, real-time transcription tools, accessibility features, or high-volume TTS workloads where the cost per hour of audio actually matters at scale. Strong fit for phone-call and meeting transcription use cases where xAI's published WER advantage (5.0% on phone-call entities vs. ElevenLabs 12.0%) compounds quickly.

Visit Grok Speech (STT + TTS APIs)

Our Verdict

GLM / Z.ai (Zhipu AI) and Grok Speech (STT + TTS APIs) are extremely close overall. Your choice comes down to specific needs -- GLM / Z.ai (Zhipu AI) is better for teams that need genuine mit-licensed frontier open weights with no commercial strings, while Grok Speech (STT + TTS APIs) works best for developers building voice agents, real-time transcription tools, accessibility features, or high-volume tts workloads where the cost per hour of audio actually matters at scale.