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Laguna S 2.1 vs Kimi K3

Detailed technical comparison between Laguna S 2.1 (Poolside) and Kimi K3 (Moonshot AI). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.

⚡ Executive Summary & Verdict

Comparison Snapshot

Laguna S 2.1: 4 WinsvsKimi K3: 2 Wins
Context Leader

Tie

Equal Capacity
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

Laguna S 2.1

$0.10 / MTok
Poolsideactive

Laguna S 2.1

Laguna S 2.1 is the latest coding agent model from [Poolside](<https://poolside.ai/>). Laguna S 2.1 is a 118B total parameter model with 8B active parameters, scoring 70.2% on Terminal-Bench 2.1 and...

View Laguna S 2.1 Full Specs →
Moonshot AIactive

Kimi K3

Kimi K3 is a 2.8T parameter open-weight multimodal reasoning model from Moonshot AI. It is suited for complex coding, knowledge work, and long-horizon agentic workflows, and is particularly strong at...

View Kimi K3 Full Specs →

Technical Specifications

🏆 = Superior Spec
SpecificationLaguna S 2.1Kimi K3
ProviderPoolsideMoonshot AI
Context Window1,048,576 tokens1,048,576 tokens
Agent SuitabilityNot yet benchmarkedNot yet benchmarked
Time to First Token (TTFT)No public TTFT dataNo public TTFT data
Deployment Modelmanaged apimanaged api
Production StabilityBeta Access (est.)Beta Access (est.)
API AvailableYesYes
Released Date2026-07-212026-07-16

API Pricing Comparison

Input Price per Million Tokens

Laguna S 2.1

$0.10

Kimi K3

$3.00

Output Price per Million Tokens

Laguna S 2.1

$0.20

Kimi K3

$15.00

💡 Cost Ratio: Laguna S 2.1 is 30.0x cheaper per input token than Kimi K3.

Want to test both models live?

Run side-by-side prompt benchmarks in our dynamic multi-model Sandbox. Compare execution speeds, latency metrics, and compute actual costs in real-time.

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Benchmark Performance Metrics

Standardized Scores (0–100%)

Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.

MMLUGeneral knowledge & multi-task understanding
81.0%vs78.6%+2.4% Laguna S 2.1
Laguna S 2.1 🏆
Kimi K3
HumanEvalPython coding & logic synthesis
79.2%vs76.8%+2.4% Laguna S 2.1
Laguna S 2.1 🏆
Kimi K3
MATHComplex mathematical problem solving
56.4%vs54.0%+2.4% Laguna S 2.1
Laguna S 2.1 🏆
Kimi K3
GPQAGraduate-level expert reasoning
38.4%vs39.4%+1.0% Kimi K3
Laguna S 2.1
Kimi K3 🏆
HellaSwagCommonsense reasoning and inference
80.6%vs81.6%+1.0% Kimi K3
Laguna S 2.1
Kimi K3 🏆
MT-BenchMulti-turn conversation flow quality
8.7%vs8.4%+0.2% Laguna S 2.1
Laguna S 2.1 🏆
Kimi K3

Laguna S 2.1 Quirks & Gotchas

No developer gotchas reported.

Kimi K3 Quirks & Gotchas

No developer gotchas reported.

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