Kimi K2.6 vs Laguna-S-2.1

Practical read: Laguna-S-2.1 costs about a seventh as much, reads four 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 Laguna-S-2.1
Attribute	Kimi K2.6 `moonshotai/kimi-k2.6`	Laguna-S-2.1 `poolside/laguna-s-2.1`
Price, 1M in + out	$2.31 Chutes, cheapest route	$0.32 Telnyx, cheapest route
Best for		Low cost, long documents and speed
Input / output, 1M	$0.41 / $1.90	$0.11 / $0.21
Cached input	$0.041145/1M to $0.427223/1M	$0.0211/1M
Context window	262K 262,144 tokens	1.05M 1,048,576 tokens
First token, p50	1.4 s via Kimi	1.3 s via Telnyx
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	Poolside
Modes	chat	chat
More detail	Overview Pricing Providers Benchmarks	Overview

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 Laguna-S-2.1 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 poolside/laguna-s-2.1.
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", "poolside/laguna-s-2.1"):
    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 poolside/laguna-s-2.1; 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 Laguna-S-2.1?

MoonshotAI: Kimi K2.6 has more Credits provider routes. Laguna-S-2.1 has the lower published input-plus-output rate, the larger context window and the lower measured p50 time to first token.

Is MoonshotAI: Kimi K2.6 or Laguna-S-2.1 cheaper?

The current cheapest TrustedRouter route is $2.31045/1M for MoonshotAI: Kimi K2.6 and $0.3165/1M for Laguna-S-2.1. The comparison uses current catalog prices and updates as provider pricing changes.

Is MoonshotAI: Kimi K2.6 or Laguna-S-2.1 faster?

Current measured p50 time to first token is 1416 ms for MoonshotAI: Kimi K2.6 and 1282 ms for Laguna-S-2.1. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test MoonshotAI: Kimi K2.6 and Laguna-S-2.1 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 poolside/laguna-s-2.1. This makes side-by-side evals possible without maintaining two provider integrations.

More comparisons

All comparisons

Try Kimi K2.6 and Laguna-S-2.1 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.