Compare

O3 vs Gemini 3.5 Flash-Lite

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.

Search2/4
O3
openai/o3
Gemini 3.5 Flash-Lite
google/gemini-3.5-flash-lite
Provider
OpenAI
Google
Family
o-series
Gemini 3
Modality
text
text
Context window
200,000 tok
1,048,576 tok
Max output
100,000 tok
65,536 tok
Released
2026-05-22
2026-07-21
License
Open-weight
Proprietary
Input price
$2.00 /1M
$0.300 /1M
Output price
$8.00 /1M
$2.50 /1M
Tools
yes
Streaming
yes
yes
Vision
yes
JSON mode
yes
Reasoning
Prompt caching
Batch API
Try it
Open in playground →
Open in playground →
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
Gemini 3.5 Flash-Lite
google/gemini-3.5-flash-lite
Full spec →

Gemini 3.5 Flash-Lite is a low-latency, cost-effective multimodal model optimized for high-throughput, low-cost execution for subagent tasks and document parsing.

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

Compare with another

Grok 4.6 vs O3
xai/grok-4.6 · openai/o3
Grok 4.6 vs Gemini 3.5 Flash-Lite
xai/grok-4.6 · google/gemini-3.5-flash-lite
Claude Opus 5 vs O3
anthropic/claude-opus-5 · openai/o3
Claude Opus 5 vs Gemini 3.5 Flash-Lite
anthropic/claude-opus-5 · google/gemini-3.5-flash-lite
Qwen3.8 Max vs O3
alibaba/qwen3.8-max · openai/o3
Qwen3.8 Max vs Gemini 3.5 Flash-Lite
alibaba/qwen3.8-max · google/gemini-3.5-flash-lite
DeepSeek V4 Pro vs O3
deepseek/deepseek-v4-pro · openai/o3
DeepSeek V4 Pro vs Gemini 3.5 Flash-Lite
deepseek/deepseek-v4-pro · google/gemini-3.5-flash-lite
Kimi K3 vs O3
moonshot/kimi-k3 · openai/o3
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-...",
)

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

# Gemini 3.5 Flash-Lite
client.chat.completions.create(
    model="google/gemini-3.5-flash-lite",
    messages=[{"role":"user","content":"hello"}],
)
Get an AIgateway keyRun an eval on these →