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Laguna M.1 vs Nano Banana 2 (Gemini 3.1 Flash Image)

Detailed technical comparison between Laguna M.1 (Poolside) and Nano Banana 2 (Gemini 3.1 Flash Image) (Google). 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 M.1: 6 WinsvsNano Banana 2 (Gemini 3.1 Flash Image): 0 Wins
Context Leader

Laguna M.1

262,144 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

Laguna M.1

$0.20 / 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 β†’
Googleactive

Nano Banana 2 (Gemini 3.1 Flash Image)

Gemini 3.1 Flash Image, a.k.a. "Nano Banana 2," is Google’s latest state of the art image generation and editing model, delivering Pro-level visual quality at Flash speed. It combines advanced...

View Nano Banana 2 (Gemini 3.1 Flash Image) Full Specs β†’

Technical Specifications

πŸ† = Superior Spec
SpecificationLaguna M.1Nano Banana 2 (Gemini 3.1 Flash Image)
ProviderPoolsideGoogle
Context Window262,144 tokensπŸ†131,072 tokens
Agent SuitabilityNot yet benchmarkedNot yet benchmarked
Time to First Token (TTFT)No public TTFT dataNo public TTFT data
Deployment Modelmanaged apimanaged api
Production StabilityStable GA (est.)Stable GA (est.)
API AvailableYesYes
Released Date2026-04-282026-06-18

API Pricing Comparison

Input Price per Million Tokens

Laguna M.1

$0.20

Nano Banana 2 (Gemini 3.1 Flash Image)

$0.50

Output Price per Million Tokens

Laguna M.1

$0.40

Nano Banana 2 (Gemini 3.1 Flash Image)

$3.00

πŸ’‘ Cost Ratio: Laguna M.1 is 2.5x cheaper per input token than Nano Banana 2 (Gemini 3.1 Flash Image).

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 (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
81.2%vs75.4%+5.8% Laguna M.1
Laguna M.1 πŸ†
Nano Banana 2 (Gemini 3.1 Flash Image)
HumanEvalPython coding & logic synthesis
79.4%vs71.6%+7.8% Laguna M.1
Laguna M.1 πŸ†
Nano Banana 2 (Gemini 3.1 Flash Image)
MATHComplex mathematical problem solving
56.6%vs41.4%+15.2% Laguna M.1
Laguna M.1 πŸ†
Nano Banana 2 (Gemini 3.1 Flash Image)
GPQAGraduate-level expert reasoning
38.6%vs28.8%+9.8% Laguna M.1
Laguna M.1 πŸ†
Nano Banana 2 (Gemini 3.1 Flash Image)
HellaSwagCommonsense reasoning and inference
80.8%vs76.0%+4.8% Laguna M.1
Laguna M.1 πŸ†
Nano Banana 2 (Gemini 3.1 Flash Image)
MT-BenchMulti-turn conversation flow quality
8.3%vs7.9%+0.5% Laguna M.1
Laguna M.1 πŸ†
Nano Banana 2 (Gemini 3.1 Flash Image)

Laguna M.1 Quirks & Gotchas

No developer gotchas reported.

Nano Banana 2 (Gemini 3.1 Flash Image) Quirks & Gotchas

No developer gotchas reported.

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