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Gemini 3.5 Flash-Lite vs Mistral Medium 3.1

Detailed technical comparison between Gemini 3.5 Flash-Lite (Google) and Mistral Medium 3.1 (Mistral). 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

Gemini 3.5 Flash-Lite: 0 WinsvsMistral Medium 3.1: 6 Wins
Context Leader

Gemini 3.5 Flash-Lite

1,048,576 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

Gemini 3.5 Flash-Lite

$0.30 / MTok
Googleactive

Gemini 3.5 Flash-Lite

Gemini 3.5 Flash-Lite is a high-efficiency model from Google with upgraded agentic capabilities. It is suited for subagents that execute focused tasks within complex, multi-agent workflows.

View Gemini 3.5 Flash-Lite Full Specs →
Mistralactive

Mistral Medium 3.1

Mistral Medium 3.1 is an updated version of Mistral Medium 3, which is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances...

View Mistral Medium 3.1 Full Specs →

Technical Specifications

🏆 = Superior Spec
SpecificationGemini 3.5 Flash-LiteMistral Medium 3.1
ProviderGoogleMistral
Context Window1,048,576 tokens🏆131,072 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitybetastable
API AvailableYesYes
Released Date2026-07-212025-08-13

API Pricing Comparison

Input Price per Million Tokens

Gemini 3.5 Flash-Lite

$0.30

Mistral Medium 3.1

$0.40

Output Price per Million Tokens

Gemini 3.5 Flash-Lite

$2.50

Mistral Medium 3.1

$2.00

💡 Cost Ratio: Gemini 3.5 Flash-Lite is 1.3x cheaper per input token than Mistral Medium 3.1.

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.

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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
73.2%vs80.2%+7.0% Mistral Medium 3.1
Gemini 3.5 Flash-Lite
Mistral Medium 3.1 🏆
HumanEvalPython coding & logic synthesis
69.4%vs78.4%+9.0% Mistral Medium 3.1
Gemini 3.5 Flash-Lite
Mistral Medium 3.1 🏆
MATHComplex mathematical problem solving
42.6%vs55.6%+13.0% Mistral Medium 3.1
Gemini 3.5 Flash-Lite
Mistral Medium 3.1 🏆
GPQAGraduate-level expert reasoning
30.0%vs41.0%+11.0% Mistral Medium 3.1
Gemini 3.5 Flash-Lite
Mistral Medium 3.1 🏆
HellaSwagCommonsense reasoning and inference
77.2%vs83.2%+6.0% Mistral Medium 3.1
Gemini 3.5 Flash-Lite
Mistral Medium 3.1 🏆
MT-BenchMulti-turn conversation flow quality
8.0%vs8.6%+0.6% Mistral Medium 3.1
Gemini 3.5 Flash-Lite
Mistral Medium 3.1 🏆

Gemini 3.5 Flash-Lite Quirks & Gotchas

No developer gotchas reported.

Mistral Medium 3.1 Quirks & Gotchas

No developer gotchas reported.

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