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GLM 4.7 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 GLM 4.7 Flash and Step 3.7 Flash.

Zhipu AI

GLM 4.7 Flash

As a 30B-class SOTA model, GLM-4.7-Flash offers a new option that balances performance and efficiency. It is further optimized for agentic coding use cases, strengthening coding capabilities, long-horizon task planning,...

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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

SpecificationGLM 4.7 FlashStep 3.7 Flash
ProviderZhipu AIStepFun
Context Window202,752 tokens256,000 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-01-192026-05-28

API Pricing Comparison

Input Price per Million Tokens

GLM 4.7 Flash

$0.06

Step 3.7 Flash

$0.20

Output Price per Million Tokens

GLM 4.7 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
7720.0%vs8450.0%
GLM 4.7 Flash
Step 3.7 Flash
HumanEvalPython coding & logic synthesis
7850.0%vs8600.0%
GLM 4.7 Flash
Step 3.7 Flash
MATHComplex mathematical problem solving
4000.0%vs6680.0%
GLM 4.7 Flash
Step 3.7 Flash
GPQAGraduate-level expert reasoning
3100.0%vs4400.0%
GLM 4.7 Flash
Step 3.7 Flash
HellaSwagCommonsense reasoning and inference
8000.0%vs8580.0%
GLM 4.7 Flash
Step 3.7 Flash
MT-BenchMulti-turn conversation flow quality
810.0%vs890.0%
GLM 4.7 Flash
Step 3.7 Flash

GLM 4.7 Flash Quirks & Gotchas

No developer gotchas reported.

Step 3.7 Flash Quirks & Gotchas

No developer gotchas reported.