Gemma 4 (Google) vs Grok Speech (STT + TTS APIs)

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

Our Pick

Gemma 4 (Google)

A
8.3/10

Google DeepMind's open-weights model family -- multimodal, 256K context, runs on edge devices

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

CategoryGemma 4 (Google)Grok Speech (STT + TTS APIs)
Ease of Use7.07.0
Output Quality8.08.5
Value10.09.0
Features8.08.0
Overall8.38.1

Pricing Comparison

FeatureGemma 4 (Google)Grok Speech (STT + TTS APIs)
Free TierYesNo
Starting Price$0$0.10

Benchmark Head-to-Head

Gemma 4 31B benchmarks — Grok Speech (STT + TTS APIs) has no published benchmarks

BenchmarkScore
MMLU83%
GPQA Diamond84.3%
AIME 202689.2%
HumanEval85%

Which Should You Pick?

Pick Gemma 4 (Google) if...

  • Better value for money (10/10)
  • Has a free tier

Developers and businesses who need a permissively licensed multimodal LLM they can self-host or fine-tune. Especially good for multilingual use cases and on-device deployment.

Visit Gemma 4 (Google)

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

Gemma 4 (Google) and Grok Speech (STT + TTS APIs) are extremely close overall. Your choice comes down to specific needs -- Gemma 4 (Google) is better for developers and businesses who need a permissively licensed multimodal llm they can self-host or fine-tune, 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.