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Gemini Omni Flash vs O3

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 Omni Flash
google/gemini-omni-flash
O3
openai/o3
Provider
Google
OpenAI
Family
o-series
Modality
video
text
Context window
200,000 tok
Max output
100,000 tok
Released
2026-09-09
2026-05-22
License
Proprietary
Open-weight
Input price
$2.00 /1M
Output price
$8.00 /1M
Per output second
$1.50 /sec
Tools
Streaming
yes
Vision
JSON mode
Reasoning
Prompt caching
Batch API
Try it
View model →
Open in playground →
Gemini Omni Flash
google/gemini-omni-flash
Full spec →

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

Strengths
  • Text-to-video generation
Use cases
PromosDemosStoryboards
O3
openai/o3
Full spec →

o3 is OpenAI’s general-purpose reasoning model, balancing strong analytical performance with reasonable latency and cost.

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

Compare with another

Claude Fable 5.1 vs Gemini Omni Flash
anthropic/claude-fable-5.1 · google/gemini-omni-flash
Claude Fable 5.1 vs O3
anthropic/claude-fable-5.1 · openai/o3
Gemini 3.8 Flash vs Gemini Omni Flash
google/gemini-3.8-flash · google/gemini-omni-flash
Gemini 3.8 Flash vs O3
google/gemini-3.8-flash · openai/o3
Claude Opus 5 vs Gemini Omni Flash
anthropic/claude-opus-5 · google/gemini-omni-flash
Claude Opus 5 vs O3
anthropic/claude-opus-5 · openai/o3
Glm-5.3 vs Gemini Omni Flash
zai-org/glm-5.3 · google/gemini-omni-flash
Glm-5.3 vs O3
zai-org/glm-5.3 · openai/o3
Grok 4.6 vs Gemini Omni Flash
xai/grok-4.6 · google/gemini-omni-flash
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 Omni Flash
client.chat.completions.create(
    model="google/gemini-omni-flash",
    messages=[{"role":"user","content":"hello"}],
)

# O3
client.chat.completions.create(
    model="openai/o3",
    messages=[{"role":"user","content":"hello"}],
)
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