Compare

GPT-5.5 Pro vs Eleven V3

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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GPT-5.5 Pro
openai/gpt-5.5-pro
Eleven V3
elevenlabs/eleven-v3
Provider
OpenAI
Elevenlabs
Family
GPT-5
Modality
text
audio-tts
Context window
1,000,000 tok
Max output
16,384 tok
Released
2026-05-22
2026-07-24
License
Proprietary
Open-weight
Input price
$30.00 /1M
Output price
$180.00 /1M
Per 1K chars
$0.0001 /1K ch
Tools
yes
Streaming
yes
Vision
yes
JSON mode
yes
Reasoning
yes
Prompt caching
Batch API
Try it
Open in playground →
View model →
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
Eleven V3
elevenlabs/eleven-v3
Full spec →

ElevenLabs' latest text-to-speech model for highly expressive, natural speech generation with advanced voice control.

Strengths
  • Natural speech synthesis
Use cases
VoiceoversIVRAudiobooks

Compare with another

Claude Opus 5 vs GPT-5.5 Pro
anthropic/claude-opus-5 · openai/gpt-5.5-pro
Claude Opus 5 vs Eleven V3
anthropic/claude-opus-5 · elevenlabs/eleven-v3
Grok 4.5 vs GPT-5.5 Pro
xai/grok-4.5 · openai/gpt-5.5-pro
Grok 4.5 vs Eleven V3
xai/grok-4.5 · elevenlabs/eleven-v3
Kimi K3 vs GPT-5.5 Pro
moonshot/kimi-k3 · openai/gpt-5.5-pro
Kimi K3 vs Eleven V3
moonshot/kimi-k3 · elevenlabs/eleven-v3
Gemini 3.6 Flash vs GPT-5.5 Pro
google/gemini-3.6-flash · openai/gpt-5.5-pro
Gemini 3.6 Flash vs Eleven V3
google/gemini-3.6-flash · elevenlabs/eleven-v3
GPT-5.6 Sol vs GPT-5.5 Pro
openai/gpt-5.6-sol · 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-...",
)

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

# Eleven V3
client.chat.completions.create(
    model="elevenlabs/eleven-v3",
    messages=[{"role":"user","content":"hello"}],
)
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