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Laguna S 2.1 vs Mistral Medium 3.1

Detailed technical comparison between Laguna S 2.1 (Poolside) and Mistral Medium 3.1 (Mistral). 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 WinsvsMistral Medium 3.1: 2 Wins
Context Leader

Laguna S 2.1

1,048,576 tokens
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 →
Mistralactive

Mistral Medium 3.1

Mistral Medium 3.1 is an updated version of Mistral Medium 3, which is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances...

View Mistral Medium 3.1 Full Specs →

Technical Specifications

🏆 = Superior Spec
SpecificationLaguna S 2.1Mistral Medium 3.1
ProviderPoolsideMistral
Context Window1,048,576 tokens🏆131,072 tokens
Agent SuitabilityNot yet benchmarkedNot yet benchmarked
Time to First Token (TTFT)No public TTFT dataNo public TTFT data
Deployment Modelmanaged apiself hostable
Production StabilityBeta Access (est.)Stable GA (est.)
API AvailableYesYes
Released Date2026-07-212025-08-13

API Pricing Comparison

Input Price per Million Tokens

Laguna S 2.1

$0.10

Mistral Medium 3.1

$0.40

Output Price per Million Tokens

Laguna S 2.1

$0.20

Mistral Medium 3.1

$2.00

💡 Cost Ratio: Laguna S 2.1 is 4.0x cheaper per input token than Mistral Medium 3.1.

Want to test both models live?

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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%vs80.2%+0.8% Laguna S 2.1
Laguna S 2.1 🏆
Mistral Medium 3.1
HumanEvalPython coding & logic synthesis
79.2%vs78.4%+0.8% Laguna S 2.1
Laguna S 2.1 🏆
Mistral Medium 3.1
MATHComplex mathematical problem solving
56.4%vs55.6%+0.8% Laguna S 2.1
Laguna S 2.1 🏆
Mistral Medium 3.1
GPQAGraduate-level expert reasoning
38.4%vs41.0%+2.6% Mistral Medium 3.1
Laguna S 2.1
Mistral Medium 3.1 🏆
HellaSwagCommonsense reasoning and inference
80.6%vs83.2%+2.6% Mistral Medium 3.1
Laguna S 2.1
Mistral Medium 3.1 🏆
MT-BenchMulti-turn conversation flow quality
8.7%vs8.6%+0.1% Laguna S 2.1
Laguna S 2.1 🏆
Mistral Medium 3.1

Laguna S 2.1 Quirks & Gotchas

No developer gotchas reported.

Mistral Medium 3.1 Quirks & Gotchas

No developer gotchas reported.

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