compare/Gemini Omni Flash 1.1vsClaude Sonnet 5

Gemini Omni Flash 1.1 vs Claude Sonnet 5

Pricing, context window, capabilities, and release date — pulled from each provider's public docs. Both are available via the same AIgateway OpenAI-compatible endpoint; flip the model string to switch.

RUN BOTH LIVE

Paste a prompt. Watch them race.

Both models stream in parallel through your own AIgateway key. Tokens, latency, and cost update as they arrive.

Sign in to runLive streaming uses your own key. It's free to sign up.
 Gemini Omni Flash 1.1
google/gemini-omni-1.1-flash
Claude Sonnet 5
anthropic/claude-sonnet-5
ProviderGoogleAnthropic
FamilyClaude 4
Modalityvideotext
Context window1,000,000 tok
Max output128,000 tok
Released2026-09-112026-07-07
Input price$1.50 /sec$2.00 /1M
Output price$10.00 /1M
Cache read
Toolsyes
Streamingyes
Visionyes
JSON modeyes
Reasoningyes
Prompt caching
Gemini Omni Flash 1.1
google/gemini-omni-1.1-flash
Full spec →

High-performance multimodal video generation and editing model with conversational controls and generated audio.

Strengths
  • Text-to-video generation
Claude Sonnet 5
anthropic/claude-sonnet-5
Full spec →

Claude Sonnet 5 is Anthropic's most agentic Sonnet model yet, built for coding, tool use, reasoning, and long-horizon professional work at lower cost than Opus-class models.

Strengths
  • General-purpose chat
  • Long context
  • Tool use
SWITCH BETWEEN THEM

One key, both models, one line different.

# pip install aigateway-py openai
# aigateway-py: sub-accounts, evals, replays, jobs, webhook verify.
# openai SDK: chat/embeddings/images/audio — drop-in compat per our SDK's own guidance.
from openai import OpenAI

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

# Try Gemini Omni Flash 1.1
client.chat.completions.create(
    model="google/gemini-omni-1.1-flash",
    messages=[{"role":"user","content":"hello"}],
)

# Try Claude Sonnet 5 — same client, same key
client.chat.completions.create(
    model="anthropic/claude-sonnet-5",
    messages=[{"role":"user","content":"hello"}],
)
Get an AIgateway keyAdd a third model

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