← Back to Model Hub/SIDE-BY-SIDE REVIEW
SHARE THIS:

Gemini 2.5 Pro Preview 05-06 vs Gemini 3.1 Flash

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 Gemini 2.5 Pro Preview 05-06 and Gemini 3.1 Flash.

Google

Gemini 2.5 Pro Preview 05-06

Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...

View Full Specs
Google

Gemini 3.1 Flash

Gemini 3.1 Flash is Google's high-speed, cost-efficient multimodal model in the 3.1 generation, purpose-built for high-volume content synthesis, classification, and intelligent routing at scale. Featuring a 1-million-token context window, it can process large batches of documents, customer data, or multimedia content in a single inference pass, dramatically reducing pipeline complexity. At just $0.25/MTok for input, it is one of the most affordable routes to Google-caliber multimodal AI, making it an ideal backbone for production pipelines, data enrichment workflows, and high-frequency API integrations.

View Full Specs

Technical Specifications

SpecificationGemini 2.5 Pro Preview 05-06Gemini 3.1 Flash
ProviderGoogleGoogle
Context Window1,048,576 tokens1,000,000 tokens
Agent SuitabilityN/A86/100
Time to First Token (TTFT)N/A150 ms
Deployment Modelmanaged apimanaged api
Production Stabilitybetastable
API AvailableYesYes
Released Date2025-05-072026-04-20

API Pricing Comparison

Input Price per Million Tokens

Gemini 2.5 Pro Preview 05-06

$1.25

Gemini 3.1 Flash

$0.25

Output Price per Million Tokens

Gemini 2.5 Pro Preview 05-06

$10.00

Gemini 3.1 Flash

$1.50

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.

MMLUGeneral knowledge & multi-task understanding
N/Avs8680.0%
Gemini 2.5 Pro Preview 05-06
Gemini 3.1 Flash
HumanEvalPython coding & logic synthesis
N/Avs8850.0%
Gemini 2.5 Pro Preview 05-06
Gemini 3.1 Flash
MATHComplex mathematical problem solving
N/Avs7820.0%
Gemini 2.5 Pro Preview 05-06
Gemini 3.1 Flash
GPQAGraduate-level expert reasoning
N/Avs6050.0%
Gemini 2.5 Pro Preview 05-06
Gemini 3.1 Flash
HellaSwagCommonsense reasoning and inference
N/Avs9520.0%
Gemini 2.5 Pro Preview 05-06
Gemini 3.1 Flash
MT-BenchMulti-turn conversation flow quality
N/Avs900.0%
Gemini 2.5 Pro Preview 05-06
Gemini 3.1 Flash

Gemini 2.5 Pro Preview 05-06 Quirks & Gotchas

No developer gotchas reported.

Gemini 3.1 Flash Quirks & Gotchas

  • Most cost-effective Google model — ideal for high-volume pipelines
  • Context caching available via Vertex AI for repeated document processing