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Kimi K2.6 vs Dolly 2 Security

Practical read: Kimi K2.6 costs about a quarter as much. Dolly 2 Security reads three times more context and starts answering sooner. One API key runs both.

No card required. Start with 1 million free tokens.

Side by side:

MoonshotAI: Kimi K2.6 compared with Dolly 2 Security
Attribute Kimi K2.6 moonshotai/kimi-k2.6 Dolly 2 Security zro/dolly2-security
Price, 1M in + out $2.31 Chutes, cheapest route $8.86 Zro (MoonMath), cheapest route
Best for Low cost Long documents and speed
Input / output, 1M $0.41 / $1.90 $2.22 / $6.65
Cached input $0.041145/1M to $0.427223/1M $0.47475/1M
Context window 262K 262,144 tokens 1M 1,000,000 tokens
First token, p50 1.4 s via Kimi 1.1 s via Zro (MoonMath)
AI IQ IQ 114 #62 on AI IQ Unrated
Provider routes 16 with failover 1
Privacy Confidential E2EE and zero retention route Zero retention route
Recent route uptime range 100.00% 100.00%
Publisher Kimi zro
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 Kimi K2.6 and Dolly 2 Security 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 moonshotai/kimi-k2.6, then on zro/dolly2-security.
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 ("moonshotai/kimi-k2.6", "zro/dolly2-security"):
    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 moonshotai/kimi-k2.6 zro/dolly2-security; 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, MoonshotAI: Kimi K2.6 or Dolly 2 Security?

MoonshotAI: Kimi K2.6 has the lower published input-plus-output rate and more Credits provider routes. Dolly 2 Security has the larger context window and the lower measured p50 time to first token.

Is MoonshotAI: Kimi K2.6 or Dolly 2 Security cheaper?

The current cheapest TrustedRouter route is $2.31045/1M for MoonshotAI: Kimi K2.6 and $8.862/1M for Dolly 2 Security. The comparison uses current catalog prices and updates as provider pricing changes.

Is MoonshotAI: Kimi K2.6 or Dolly 2 Security faster?

Current measured p50 time to first token is 1416 ms for MoonshotAI: Kimi K2.6 and 1105 ms for Dolly 2 Security. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test MoonshotAI: Kimi K2.6 and Dolly 2 Security with the same API?

Yes. Use the same OpenAI-compatible TrustedRouter base URL and API key, then change only the model id between moonshotai/kimi-k2.6 and zro/dolly2-security. This makes side-by-side evals possible without maintaining two provider integrations.

More comparisons

All comparisons

Try Kimi K2.6 and Dolly 2 Security 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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