Compare

Gemini 3.8 Flash TTS vs GPT-5.5 Pro

Pricing per million tokens, context window, capabilities — pulled from each provider's public docs. All 2 are available via the same AIgateway OpenAI-compatible endpoint; flip the model string to switch.

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Gemini 3.8 Flash TTS
google/gemini-3.8-flash-tts
GPT-5.5 Pro
openai/gpt-5.5-pro
Provider
Google
OpenAI
Family
Gemini 3
GPT-5
Modality
audio-tts
text
Context window
—
1,000,000 tok
Max output
—
16,384 tok
Released
2026-10-06
2026-05-22
License
Proprietary
Proprietary
Input price
—
$30.00 /1M
Output price
—
$180.00 /1M
Per 1K chars
$0.015 /1K ch
—
Tools
yes
yes
Streaming
—
yes
Vision
yes
yes
JSON mode
yes
yes
Reasoning
—
yes
Prompt caching
—
—
Batch API
—
—
Try it
View model →
Open in playground →
Gemini 3.8 Flash TTS
google/gemini-3.8-flash-tts
Full spec →

Gemini 3.8 Flash TTS is Google's flagship text-to-speech model for expressive, natural speech generation.

Strengths
  • Natural speech synthesis
Use cases
VoiceoversIVRAudiobooks
GPT-5.5 Pro
openai/gpt-5.5-pro
Full spec →

GPT-5.5 pro uses OpenAI's Responses API with built-in tools, improved reasoning, and stateful context management.

Strengths
  • General-purpose chat
  • Long context
  • Tool use
Use cases
ChatbotsContent generationAgentic workflows

Compare with another

Claude Sonnet 5.5 vs GPT-5.5 Pro
anthropic/claude-sonnet-5.5 · openai/gpt-5.5-pro
Claude Sonnet 5.5 vs Gemini 3.8 Flash TTS
anthropic/claude-sonnet-5.5 · google/gemini-3.8-flash-tts
GPT-6.1 Sol vs GPT-5.5 Pro
openai/gpt-6.1-sol · openai/gpt-5.5-pro
GPT-6.1 Sol vs Gemini 3.8 Flash TTS
openai/gpt-6.1-sol · google/gemini-3.8-flash-tts
Claude Opus 5.5 vs GPT-5.5 Pro
anthropic/claude-opus-5.5 · openai/gpt-5.5-pro
Claude Opus 5.5 vs Gemini 3.8 Flash TTS
anthropic/claude-opus-5.5 · google/gemini-3.8-flash-tts
Grok 4.7 vs GPT-5.5 Pro
xai/grok-4.7 · openai/gpt-5.5-pro
Grok 4.7 vs Gemini 3.8 Flash TTS
xai/grok-4.7 · google/gemini-3.8-flash-tts
Glm-5.3 vs GPT-5.5 Pro
zai-org/glm-5.3 · openai/gpt-5.5-pro
SWITCH BETWEEN THEM

One key, all 2, one line different.

from openai import OpenAI

client = OpenAI(
    base_url="https://api.aigateway.sh/v1",
    api_key="sk-aig-...",
)

# Gemini 3.8 Flash TTS
client.chat.completions.create(
    model="google/gemini-3.8-flash-tts",
    messages=[{"role":"user","content":"hello"}],
)

# GPT-5.5 Pro
client.chat.completions.create(
    model="openai/gpt-5.5-pro",
    messages=[{"role":"user","content":"hello"}],
)
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