Compare

Wan 2.7 I2V vs GPT-5.5

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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Wan 2.7 I2V
alibaba/wan-2.7-i2v
GPT-5.5
openai/gpt-5.5
Provider
Alibaba
OpenAI
Family
Wan
GPT-5
Modality
video
text
Context window
1,000,000 tok
Max output
16,384 tok
Released
2026-05-29
2026-05-22
License
Open-weight
Proprietary
Input price
$5.00 /1M
Output price
$30.00 /1M
Per output second
$0.100 /sec
Tools
yes
Streaming
yes
Vision
JSON mode
yes
Reasoning
yes
Prompt caching
Batch API
Try it
View model →
Open in playground →
Wan 2.7 I2V
alibaba/wan-2.7-i2v
Full spec →

Alibaba's Wan 2.7 image-to-video model that generates videos from a reference image with optional text prompts. Supports 720P and 1080P output with durations from 2 to 15 seconds.

Strengths
  • Text-to-video generation
Use cases
PromosDemosStoryboards
GPT-5.5
openai/gpt-5.5
Full spec →

GPT-5.5 is OpenAI's flagship model with strong coding, reasoning, and multimodal capabilities.

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

Compare with another

Claude Opus 4.8 vs GPT-5.5
anthropic/claude-opus-4.8 · openai/gpt-5.5
Claude Opus 4.8 vs Wan 2.7 I2V
anthropic/claude-opus-4.8 · alibaba/wan-2.7-i2v
Gemini 3.1 Pro vs GPT-5.5
google/gemini-3.1-pro · openai/gpt-5.5
Gemini 3.1 Pro vs Wan 2.7 I2V
google/gemini-3.1-pro · alibaba/wan-2.7-i2v
Claude Sonnet 4.6 vs GPT-5.5
anthropic/claude-sonnet-4.6 · openai/gpt-5.5
Claude Sonnet 4.6 vs Wan 2.7 I2V
anthropic/claude-sonnet-4.6 · alibaba/wan-2.7-i2v
GPT-5.5 vs Gemini 2.5 Pro
openai/gpt-5.5 · google/gemini-2.5-pro
GPT-5.5 vs Kimi-K2.6
openai/gpt-5.5 · moonshot/kimi-k2.6
GPT-5.5 vs MiniMax M3
openai/gpt-5.5 · minimax/m3
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-...",
)

# Wan 2.7 I2V
client.chat.completions.create(
    model="alibaba/wan-2.7-i2v",
    messages=[{"role":"user","content":"hello"}],
)

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