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Laguna M.1 vs Mistral Small 3

Detailed technical comparison between Laguna M.1 (Poolside) and Mistral Small 3 (Mistral). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.

โšก Executive Summary & Verdict

Comparison Snapshot

Laguna M.1: 1 WinvsMistral Small 3: 4 Wins
Context Leader

Laguna M.1

262,144 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

Mistral Small 3

$0.10 / MTok
Poolsideactive

Laguna M.1

Laguna M.1 is the flagship coding agent model from [Poolside](https://poolside.ai/), optimized for complex software engineering tasks. Designed for agentic coding workflows, it supports tool calling and reasoning, with a 256K...

View Laguna M.1 Full Specs โ†’
Mistralactive

Mistral Small 3

Mistral Small 3 is a 24B-parameter language model optimized for low-latency performance across common AI tasks. Released under the Apache 2.0 license, it features both pre-trained and instruction-tuned versions designed...

View Mistral Small 3 Full Specs โ†’

Technical Specifications

๐Ÿ† = Superior Spec
SpecificationLaguna M.1Mistral Small 3
ProviderPoolsideMistral
Context Window262,144 tokens๐Ÿ†32,768 tokens
Agent SuitabilityNot yet benchmarked84/100 (est.)
Time to First Token (TTFT)No public TTFT data120 ms (est.)
Deployment Modelmanaged apimanaged api
Production StabilityStable GA (est.)Stable GA (est.)
API AvailableYesYes
Released Date2026-04-282025-01-30

API Pricing Comparison

Input Price per Million Tokens

Laguna M.1

$0.20

Mistral Small 3

$0.10

Output Price per Million Tokens

Laguna M.1

$0.40

Mistral Small 3

$0.30

๐Ÿ’ก Cost Ratio: Mistral Small 3 is 2.0x cheaper per input token than Laguna M.1.

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.

Benchmark Performance Metrics

Standardized Scores (0โ€“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
81.2%vs81.2%+0.0% Mistral Small 3
Laguna M.1
Mistral Small 3
HumanEvalPython coding & logic synthesis
79.4%vs83.0%+3.6% Mistral Small 3
Laguna M.1
Mistral Small 3 ๐Ÿ†
MATHComplex mathematical problem solving
56.6%vs68.0%+11.4% Mistral Small 3
Laguna M.1
Mistral Small 3 ๐Ÿ†
GPQAGraduate-level expert reasoning
38.6%vs45.0%+6.4% Mistral Small 3
Laguna M.1
Mistral Small 3 ๐Ÿ†
HellaSwagCommonsense reasoning and inference
80.8%vs85.0%+4.2% Mistral Small 3
Laguna M.1
Mistral Small 3 ๐Ÿ†
MT-BenchMulti-turn conversation flow quality
8.3%vs8.3%+0.0% Laguna M.1
Laguna M.1 ๐Ÿ†
Mistral Small 3

Laguna M.1 Quirks & Gotchas

No developer gotchas reported.

Mistral Small 3 Quirks & Gotchas

  • โ–ธFastest TTFT at lowest cost โ€” ideal for high-volume classification
  • โ–ธNot designed for complex reasoning โ€” route multi-step tasks to Mistral Large 3

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