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Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) vs Voxtral Small 24B 2507

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) and Voxtral Small 24B 2507.

Google

Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image)

Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) is Google's fastest, most cost-efficient Gemini image model, built for high-velocity developer pipelines and rapid-fire visual exploration. It delivers text-to-image generation...

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Mistral

Voxtral Small 24B 2507

Voxtral Small is an enhancement of Mistral Small 3, incorporating state-of-the-art audio input capabilities while retaining best-in-class text performance. It excels at speech transcription, translation and audio understanding. Input audio...

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Technical Specifications

SpecificationNano Banana 2 Lite (Gemini 3.1 Flash Lite Image)Voxtral Small 24B 2507
ProviderGoogleMistral
Context Window65,536 tokens32,000 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-06-302025-10-30

API Pricing Comparison

Input Price per Million Tokens

Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image)

$0.25

Voxtral Small 24B 2507

$0.10

Output Price per Million Tokens

Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image)

$1.50

Voxtral Small 24B 2507

$0.30

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

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

No developer gotchas reported.

Voxtral Small 24B 2507 Quirks & Gotchas

No developer gotchas reported.