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Gemini 3.1 Flash vs Mistral Small 3

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 3.1 Flash and Mistral Small 3.

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.

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Mistral

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...

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Technical Specifications

SpecificationGemini 3.1 FlashMistral Small 3
ProviderGoogleMistral
Context Window1,000,000 tokens32,768 tokens
Agent Suitability86/10084/100
Time to First Token (TTFT)150 ms120 ms
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-202025-01-30

API Pricing Comparison

Input Price per Million Tokens

Gemini 3.1 Flash

$0.25

Mistral Small 3

$0.07

Output Price per Million Tokens

Gemini 3.1 Flash

$1.50

Mistral Small 3

$0.20

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
8680.0%vs8120.0%
Gemini 3.1 Flash
Mistral Small 3
HumanEvalPython coding & logic synthesis
8850.0%vs8300.0%
Gemini 3.1 Flash
Mistral Small 3
MATHComplex mathematical problem solving
7820.0%vs6800.0%
Gemini 3.1 Flash
Mistral Small 3
GPQAGraduate-level expert reasoning
6050.0%vs4500.0%
Gemini 3.1 Flash
Mistral Small 3
HellaSwagCommonsense reasoning and inference
9520.0%vs8500.0%
Gemini 3.1 Flash
Mistral Small 3
MT-BenchMulti-turn conversation flow quality
900.0%vs830.0%
Gemini 3.1 Flash
Mistral Small 3

Gemini 3.1 Flash Quirks & Gotchas

  • โ–ธMost cost-effective Google model โ€” ideal for high-volume pipelines
  • โ–ธContext caching available via Vertex AI for repeated document processing

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