compare/Claude Haiku 4.5vsGemini 3 Flash

Claude Haiku 4.5 vs Gemini 3 Flash

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.
 Claude Haiku 4.5
anthropic/claude-haiku-4.5
Gemini 3 Flash
google/gemini-3-flash
ProviderAnthropicGoogle
FamilyClaude 4Gemini 3
Modalitytexttext
Context window200,000 tok1,000,000 tok
Max output8,192 tok8,192 tok
Released2026-04-132026-04-13
Input price$1.00 /1M$0.500 /1M
Output price$5.00 /1M$3.00 /1M
Cache read$0.100 /1M$0.050 /1M
Toolsyesyes
Streamingyesyes
Visionyesyes
JSON modeyesyes
Reasoningyesyes
Prompt cachingyesyes
Claude Haiku 4.5
anthropic/claude-haiku-4.5
Full spec →

Claude Haiku 4.5 delivers similar levels of coding performance at one-third the cost and more than twice the speed of larger models.

Strengths
  • Fastest Claude
  • Cheap enough for per-token workloads
  • Still supports tools + vision
Gemini 3 Flash
google/gemini-3-flash
Full spec →

Gemini 3 Flash is Google's fast multimodal model with frontier intelligence, superior search, and grounding capabilities.

Strengths
  • Near-free per token
  • Multi-modal native
  • 1M context
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 Claude Haiku 4.5
client.chat.completions.create(
    model="anthropic/claude-haiku-4.5",
    messages=[{"role":"user","content":"hello"}],
)

# Try Gemini 3 Flash — same client, same key
client.chat.completions.create(
    model="google/gemini-3-flash",
    messages=[{"role":"user","content":"hello"}],
)
Get an AIgateway keyAdd a third model

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