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DeepSeek V4.1 Flash 1017 vs Kimi K2 Instruct 0905

Practical read: DeepSeek V4.1 Flash 1017 costs under a tenth as much and reads four times more context. One API key runs both.

No card required. Start with 1 million free tokens.

Side by side:

DeepSeek: DeepSeek V4.1 Flash 1017 compared with MoonshotAI: Kimi K2 Instruct 0905
Attribute DeepSeek V4.1 Flash 1017 deepseek/deepseek-v4.1-flash-1017 Kimi K2 Instruct 0905 moonshotai/kimi-k2-instruct-0905
Price, 1M in + out $0.16 Engy, cheapest route $3.03 IO Intelligence, cheapest route
Best for Low cost and long documents
Input / output, 1M $0.032 / $0.13 $0.60 / $2.43
Cached input $0.01/1M to $0.131875/1M $0.300675/1M
Context window 1.05M 1,048,576 tokens 262K 262,144 tokens
First token, p50 0.95 s via Sail Research Measuring
AI IQ IQ 128 #19 on AI IQ Unrated
Provider routes 19 with failover 2 with failover
Privacy Confidential E2EE and zero retention route Zero retention route
Recent route uptime range 99.15% to 100.00% not enough data
Publisher DeepSeek Kimi
Modes chat chat
More detail

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 DeepSeek V4.1 Flash 1017 and Kimi K2 Instruct 0905 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 deepseek/deepseek-v4.1-flash-1017, then on moonshotai/kimi-k2-instruct-0905.
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 ("deepseek/deepseek-v4.1-flash-1017", "moonshotai/kimi-k2-instruct-0905"):
    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 deepseek/deepseek-v4.1-flash-1017 moonshotai/kimi-k2-instruct-0905; 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, DeepSeek: DeepSeek V4.1 Flash 1017 or MoonshotAI: Kimi K2 Instruct 0905?

DeepSeek V4.1 Flash 1017 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 DeepSeek: DeepSeek V4.1 Flash 1017 or MoonshotAI: Kimi K2 Instruct 0905 cheaper?

The current cheapest TrustedRouter route is $0.15825/1M for DeepSeek: DeepSeek V4.1 Flash 1017 and $3.02785/1M for MoonshotAI: Kimi K2 Instruct 0905. The comparison uses current catalog prices and updates as provider pricing changes.

Is DeepSeek: DeepSeek V4.1 Flash 1017 or MoonshotAI: Kimi K2 Instruct 0905 faster?

Current measured p50 time to first token is 946 ms for DeepSeek: DeepSeek V4.1 Flash 1017 and not enough data for MoonshotAI: Kimi K2 Instruct 0905. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test DeepSeek: DeepSeek V4.1 Flash 1017 and MoonshotAI: Kimi K2 Instruct 0905 with the same API?

Yes. Use the same OpenAI-compatible TrustedRouter base URL and API key, then change only the model id between deepseek/deepseek-v4.1-flash-1017 and moonshotai/kimi-k2-instruct-0905. This makes side-by-side evals possible without maintaining two provider integrations.

More comparisons

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Try DeepSeek V4.1 Flash 1017 and Kimi K2 Instruct 0905 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.

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