Claude Fable 5.2 vs DeepSeek V4.1 Flash

Practical read: DeepSeek V4.1 Flash costs under a tenth as much. One API key runs both.

No card required. Start with 1 million free tokens.

Side by side:

Anthropic: Claude Fable 5.2 compared with DeepSeek: DeepSeek V4.1 Flash
Attribute	Claude Fable 5.2 `anthropic/claude-fable-5.2`	DeepSeek V4.1 Flash `deepseek/deepseek-v4.1-flash`
Price, 1M in + out	$50.64 Anthropic, cheapest route	$0.16 Engy, cheapest route
Best for		Low cost
Input / output, 1M	$8.44 / $42.20	$0.032 / $0.13
Cached input	$0.211/1M	$0.01/1M to $0.1899/1M
Context window	1M 1,000,000 tokens	1.05M 1,048,576 tokens
First token, p50	Measuring	0.71 s via Together
AI IQ	Unrated	IQ 126 #24 on AI IQ
Provider routes	1	21 with failover
Privacy	Varies by provider	Confidential E2EE and zero retention route
Recent route uptime range	not enough data	80.00% to 100.00%
Publisher	Anthropic	DeepSeek
Modes	chat messages	chat decide
More detail	Overview	Overview Pricing Providers

Price adds one million input and one million output tokens on the cheapest route. Prices and speed change: see the monthly reports and run a small eval before you choose a default.

Test both with your agent

Paste this into Claude Code, Cursor or any coding agent.

Compare Claude Fable 5.2 and DeepSeek V4.1 Flash in this project through TrustedRouter.

1. Read https://trustedrouter.com/docs/llms.txt
2. Point the OpenAI-compatible client at
   https://api.trustedrouter.com/v1 and read the key from
   TRUSTEDROUTER_API_KEY.
3. Run our eval prompts on anthropic/claude-fable-5.2, then on deepseek/deepseek-v4.1-flash.
4. Show me cost, latency and quality side by side before changing the default.

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.trustedrouter.com/v1",
    api_key=os.environ["TRUSTEDROUTER_API_KEY"],
)
for model in ("anthropic/claude-fable-5.2", "deepseek/deepseek-v4.1-flash"):
    response = client.chat.completions.create(
        model=model,
        messages=[{"role": "user", "content": "What is the capital of France?"}],
    )
    print(model, response.choices[0].message.content)

for model in anthropic/claude-fable-5.2 deepseek/deepseek-v4.1-flash; do
  curl https://api.trustedrouter.com/v1/chat/completions \
    -H "Authorization: Bearer $TRUSTEDROUTER_API_KEY" \
    -H "Content-Type: application/json" \
    -d "{\"model\": \"$model\", \"messages\": [{\"role\": \"user\", \"content\": \"What is the capital of France?\"}]}"
done

Your agent will need an API key.

Questions

Which should I use, Anthropic: Claude Fable 5.2 or DeepSeek: DeepSeek V4.1 Flash?

DeepSeek V4.1 Flash has the lower published input-plus-output rate, more Credits provider routes and the larger context window. There is not enough recent probe data to compare speed.

Is Anthropic: Claude Fable 5.2 or DeepSeek: DeepSeek V4.1 Flash cheaper?

The current cheapest TrustedRouter route is $50.64/1M for Anthropic: Claude Fable 5.2 and $0.15825/1M for DeepSeek: DeepSeek V4.1 Flash. The comparison uses current catalog prices and updates as provider pricing changes.

Is Anthropic: Claude Fable 5.2 or DeepSeek: DeepSeek V4.1 Flash faster?

Current measured p50 time to first token is not enough data for Anthropic: Claude Fable 5.2 and 711 ms for DeepSeek: DeepSeek V4.1 Flash. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Anthropic: Claude Fable 5.2 and DeepSeek: DeepSeek V4.1 Flash with the same API?

Yes. Use the same OpenAI-compatible TrustedRouter base URL and API key, then change only the model id between anthropic/claude-fable-5.2 and deepseek/deepseek-v4.1-flash. This makes side-by-side evals possible without maintaining two provider integrations.

More comparisons

All comparisons

Try Claude Fable 5.2 and DeepSeek V4.1 Flash with one key.

TrustedRouter is useful when you know the model you want, but still need provider rollover, budget limits, usage records, and a prompt path you can verify.

No card required. Start with 1 million free tokens.