Compare

Pareto vs Gemini 3.8 Flash TTS

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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Pareto
unbiased/pareto
Gemini 3.8 Flash TTS
google/gemini-3.8-flash-tts
Provider
Unbiased
Google
Family
Gemini 3
Modality
text
audio-tts
Context window
262,144 tok
—
Max output
32,768 tok
—
Released
2026-09-17
2026-10-06
License
Open-weight
Proprietary
Input price
$2.50 /1M
—
Output price
$7.50 /1M
—
Per 1K chars
—
$0.015 /1K ch
Tools
—
yes
Streaming
yes
—
Vision
—
yes
JSON mode
—
yes
Reasoning
—
—
Prompt caching
—
—
Batch API
—
—
Try it
Open in playground →
View model →
Pareto
unbiased/pareto
Full spec →

Pareto is Unbiased's blended AI model. It engages multiple language models in parallel for each request, synthesizes one answer, and supports text and vision inputs through a single API response.

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

Compare with another

Claude Sonnet 5.5 vs Pareto
anthropic/claude-sonnet-5.5 · unbiased/pareto
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 Pareto
openai/gpt-6.1-sol · unbiased/pareto
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 Pareto
anthropic/claude-opus-5.5 · unbiased/pareto
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 Pareto
xai/grok-4.7 · unbiased/pareto
Grok 4.7 vs Gemini 3.8 Flash TTS
xai/grok-4.7 · google/gemini-3.8-flash-tts
Glm-5.3 vs Pareto
zai-org/glm-5.3 · unbiased/pareto
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-...",
)

# Pareto
client.chat.completions.create(
    model="unbiased/pareto",
    messages=[{"role":"user","content":"hello"}],
)

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