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

GLM 4.7 Flash vs Seed-2.0-Mini

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 Seed-2.0-Mini.

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,...

View Full Specs
ByteDance

Seed-2.0-Mini

Seed-2.0-mini targets latency-sensitive, high-concurrency, and cost-sensitive scenarios, emphasizing fast response and flexible inference deployment. It delivers performance comparable to ByteDance-Seed-1.6, supports 256k context, four reasoning effort modes (minimal/low/medium/high), multimodal understanding,...

View Full Specs

Technical Specifications

SpecificationGLM 4.7 FlashSeed-2.0-Mini
ProviderZhipu AIByteDance
Context Window202,752 tokens262,144 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-01-192026-02-26

API Pricing Comparison

Input Price per Million Tokens

GLM 4.7 Flash

$0.06

Seed-2.0-Mini

$0.10

Output Price per Million Tokens

GLM 4.7 Flash

$0.40

Seed-2.0-Mini

$0.40

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%vsN/A
GLM 4.7 Flash
Seed-2.0-Mini
HumanEvalPython coding & logic synthesis
7850.0%vsN/A
GLM 4.7 Flash
Seed-2.0-Mini
MATHComplex mathematical problem solving
4000.0%vsN/A
GLM 4.7 Flash
Seed-2.0-Mini
GPQAGraduate-level expert reasoning
3100.0%vsN/A
GLM 4.7 Flash
Seed-2.0-Mini
HellaSwagCommonsense reasoning and inference
8000.0%vsN/A
GLM 4.7 Flash
Seed-2.0-Mini
MT-BenchMulti-turn conversation flow quality
810.0%vsN/A
GLM 4.7 Flash
Seed-2.0-Mini

GLM 4.7 Flash Quirks & Gotchas

No developer gotchas reported.

Seed-2.0-Mini Quirks & Gotchas

No developer gotchas reported.