Compare

Gemini 2.5 Pro vs HappyHorse 1.0 T2V

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 2.5 Pro
google/gemini-2.5-pro
HappyHorse 1.0 T2V
alibaba/hh1-t2v
Provider
Google
Alibaba
Family
HappyHorse
Modality
text
video
Context window
1,000,000 tok
Max output
65,536 tok
Released
2026-05-22
2026-05-22
License
Proprietary
Open-weight
Input price
$1.25 /1M
Output price
$10.00 /1M
Per output second
$0.280 /sec
Tools
Streaming
yes
Vision
JSON mode
Reasoning
Prompt caching
Batch API
Try it
Open in playground →
Open in playground →
Gemini 2.5 Pro
google/gemini-2.5-pro
Full spec →

Google's most capable Gemini 2.5 model with strong reasoning, thinking support, and a 1M token context window.

Strengths
  • General-purpose chat
  • Long context
  • Tool use
Use cases
ChatbotsContent generationAgentic workflows
HappyHorse 1.0 T2V
alibaba/hh1-t2v
Full spec →

Alibaba's HappyHorse 1.0 text-to-video model. Generates videos from a text prompt with configurable resolution, aspect ratio, and duration (3-15s).

Strengths
  • Text-to-video generation
Use cases
PromosDemosStoryboards

Compare with another

Claude Opus 4.8 vs Gemini 2.5 Pro
anthropic/claude-opus-4.8 · google/gemini-2.5-pro
Claude Opus 4.8 vs HappyHorse 1.0 T2V
anthropic/claude-opus-4.8 · alibaba/hh1-t2v
Claude Sonnet 4.6 vs Gemini 2.5 Pro
anthropic/claude-sonnet-4.6 · google/gemini-2.5-pro
Claude Sonnet 4.6 vs HappyHorse 1.0 T2V
anthropic/claude-sonnet-4.6 · alibaba/hh1-t2v
Grok 4.20 Multi-Agent vs Gemini 2.5 Pro
xai/grok-4.20-multi-agent-0309 · google/gemini-2.5-pro
Grok 4.20 Multi-Agent vs HappyHorse 1.0 T2V
xai/grok-4.20-multi-agent-0309 · alibaba/hh1-t2v
GPT-5.4 vs Gemini 2.5 Pro
openai/gpt-5.4 · google/gemini-2.5-pro
GPT-5.4 vs HappyHorse 1.0 T2V
openai/gpt-5.4 · alibaba/hh1-t2v
Gemini 2.5 Pro vs Gemini 3.1 Pro
google/gemini-2.5-pro · google/gemini-3.1-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 2.5 Pro
client.chat.completions.create(
    model="google/gemini-2.5-pro",
    messages=[{"role":"user","content":"hello"}],
)

# HappyHorse 1.0 T2V
client.chat.completions.create(
    model="alibaba/hh1-t2v",
    messages=[{"role":"user","content":"hello"}],
)
Get an AIgateway keyRun an eval on these →