compare/Claude Fable 5.1vsGemini 3.8 Flash

Claude Fable 5.1 vs Gemini 3.8 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 Fable 5.1
anthropic/claude-fable-5.1
Gemini 3.8 Flash
google/gemini-3.8-flash
ProviderAnthropicGoogle
FamilyGemini 3
Modalitytexttext
Context window1,000,000 tok1,048,576 tok
Max output128,000 tok65,536 tok
Released2026-09-012026-09-04
Input price$10.00 /1M$0.750 /1M
Output price$50.00 /1M$3.75 /1M
Cache read
Toolsyesyes
Streamingyesyes
Visionyesyes
JSON modeyesyes
Reasoning
Prompt caching
Claude Fable 5.1
anthropic/claude-fable-5.1
Full spec →

Claude Fable 5.1 is Anthropic's next model in the Fable family, with improvements in agentic coding, long-running agentic workflows, knowledge work, front-end and visual code generation, and finance and analysis tasks. It supports adaptive thinking and a 1M token context window.

Strengths
  • General-purpose chat
  • Long context
  • Tool use
Gemini 3.8 Flash
google/gemini-3.8-flash
Full spec →

Our most intelligent Flash model, engineered for long-horizon software engineering, autonomous agents, and complex enterprise workflows.

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 Claude Fable 5.1
client.chat.completions.create(
    model="anthropic/claude-fable-5.1",
    messages=[{"role":"user","content":"hello"}],
)

# Try Gemini 3.8 Flash — same client, same key
client.chat.completions.create(
    model="google/gemini-3.8-flash",
    messages=[{"role":"user","content":"hello"}],
)
Get an AIgateway keyAdd a third model

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