โ† Back to Model Hub/SIDE-BY-SIDE REVIEW
SHARE THIS:

Gemini 3.1 Flash vs gpt-oss-20b

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 gpt-oss-20b.

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
OpenAI

gpt-oss-20b

gpt-oss-20b is an open-weight 21B parameter model released by OpenAI under the Apache 2.0 license. It uses a Mixture-of-Experts (MoE) architecture with 3.6B active parameters per forward pass, optimized for...

View Full Specs

Technical Specifications

SpecificationGemini 3.1 Flashgpt-oss-20b
ProviderGoogleOpenAI
Context Window1,000,000 tokens131,072 tokens
Agent Suitability86/100N/A
Time to First Token (TTFT)150 msN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-202025-08-05

API Pricing Comparison

Input Price per Million Tokens

Gemini 3.1 Flash

$0.25

gpt-oss-20b

$0.03

Output Price per Million Tokens

Gemini 3.1 Flash

$1.50

gpt-oss-20b

$0.14

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
gpt-oss-20b
HumanEvalPython coding & logic synthesis
8850.0%vsN/A
Gemini 3.1 Flash
gpt-oss-20b
MATHComplex mathematical problem solving
7820.0%vsN/A
Gemini 3.1 Flash
gpt-oss-20b
GPQAGraduate-level expert reasoning
6050.0%vsN/A
Gemini 3.1 Flash
gpt-oss-20b
HellaSwagCommonsense reasoning and inference
9520.0%vsN/A
Gemini 3.1 Flash
gpt-oss-20b
MT-BenchMulti-turn conversation flow quality
900.0%vsN/A
Gemini 3.1 Flash
gpt-oss-20b

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

gpt-oss-20b Quirks & Gotchas

No developer gotchas reported.