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Gemini 3.1 Flash vs Llama 4 Maverick

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 Llama 4 Maverick.

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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Meta

Llama 4 Maverick

Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward...

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Technical Specifications

SpecificationGemini 3.1 FlashLlama 4 Maverick
ProviderGoogleMeta
Context Window1,000,000 tokens1,048,576 tokens
Agent Suitability86/100N/A
Time to First Token (TTFT)150 msN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablebeta
API AvailableYesYes
Released Date2026-04-202025-04-05

API Pricing Comparison

Input Price per Million Tokens

Gemini 3.1 Flash

$0.25

Llama 4 Maverick

$0.15

Output Price per Million Tokens

Gemini 3.1 Flash

$1.50

Llama 4 Maverick

$0.60

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%vsN/A
Gemini 3.1 Flash
Llama 4 Maverick
HumanEvalPython coding & logic synthesis
8850.0%vsN/A
Gemini 3.1 Flash
Llama 4 Maverick
MATHComplex mathematical problem solving
7820.0%vsN/A
Gemini 3.1 Flash
Llama 4 Maverick
GPQAGraduate-level expert reasoning
6050.0%vsN/A
Gemini 3.1 Flash
Llama 4 Maverick
HellaSwagCommonsense reasoning and inference
9520.0%vsN/A
Gemini 3.1 Flash
Llama 4 Maverick
MT-BenchMulti-turn conversation flow quality
900.0%vsN/A
Gemini 3.1 Flash
Llama 4 Maverick

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

Llama 4 Maverick Quirks & Gotchas

No developer gotchas reported.