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Gemini 2.0 Flash vs Step 3.7 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 2.0 Flash and Step 3.7 Flash.

Google

Gemini 2.0 Flash

Gemini 2.0 Flash is Google's previous-generation fast, cost-efficient multimodal model, offering a compelling balance of speed, capability, and price. It supports text, image, and audio inputs with native multimodal understanding, making it well-suited for high-volume classification, real-time content moderation, and data extraction pipelines. Gemini 2.0 Flash introduced Google's context caching feature, significantly reducing costs for repeated document processing. While the 3.x series has since succeeded it, Gemini 2.0 Flash remains a popular cost-optimized choice for teams with established Vertex AI workflows.

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StepFun

Step 3.7 Flash

Step 3.7 Flash is StepFun's latest high-efficiency multimodal Mixture-of-Experts model. It pairs a 196B-parameter language backbone with a vision encoder for native image and video understanding, activating roughly 11B parameters...

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Technical Specifications

SpecificationGemini 2.0 FlashStep 3.7 Flash
ProviderGoogleStepFun
Context Window1,048,576 tokens256,000 tokens
Agent Suitability80/100N/A
Time to First Token (TTFT)180 msN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-02-052026-05-28

API Pricing Comparison

Input Price per Million Tokens

Gemini 2.0 Flash

$0.10

Step 3.7 Flash

$0.20

Output Price per Million Tokens

Gemini 2.0 Flash

$0.40

Step 3.7 Flash

$1.15

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/Avs8450.0%
Gemini 2.0 Flash
Step 3.7 Flash
HumanEvalPython coding & logic synthesis
N/Avs8600.0%
Gemini 2.0 Flash
Step 3.7 Flash
MATHComplex mathematical problem solving
N/Avs6680.0%
Gemini 2.0 Flash
Step 3.7 Flash
GPQAGraduate-level expert reasoning
N/Avs4400.0%
Gemini 2.0 Flash
Step 3.7 Flash
HellaSwagCommonsense reasoning and inference
N/Avs8580.0%
Gemini 2.0 Flash
Step 3.7 Flash
MT-BenchMulti-turn conversation flow quality
N/Avs890.0%
Gemini 2.0 Flash
Step 3.7 Flash

Gemini 2.0 Flash Quirks & Gotchas

  • โ–ธContext caching via Vertex AI โ€” up to 75% cost reduction for repeated prompts
  • โ–ธLegacy model โ€” migrate to Gemini 3.1 Flash for improved accuracy

Step 3.7 Flash Quirks & Gotchas

No developer gotchas reported.