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GLM 4.7 Flash vs Qwen3 8B

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 Qwen3 8B.

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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Alibaba

Qwen3 8B

Qwen3-8B is a dense 8.2B parameter causal language model from the Qwen3 series, designed for both reasoning-heavy tasks and efficient dialogue. It supports seamless switching between "thinking" mode for math,...

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Technical Specifications

SpecificationGLM 4.7 FlashQwen3 8B
ProviderZhipu AIAlibaba
Context Window202,752 tokens131,072 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-01-192025-04-28

API Pricing Comparison

Input Price per Million Tokens

GLM 4.7 Flash

$0.06

Qwen3 8B

$0.12

Output Price per Million Tokens

GLM 4.7 Flash

$0.40

Qwen3 8B

$0.46

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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
Qwen3 8B
HumanEvalPython coding & logic synthesis
7850.0%vsN/A
GLM 4.7 Flash
Qwen3 8B
MATHComplex mathematical problem solving
4000.0%vsN/A
GLM 4.7 Flash
Qwen3 8B
GPQAGraduate-level expert reasoning
3100.0%vsN/A
GLM 4.7 Flash
Qwen3 8B
HellaSwagCommonsense reasoning and inference
8000.0%vsN/A
GLM 4.7 Flash
Qwen3 8B
MT-BenchMulti-turn conversation flow quality
810.0%vsN/A
GLM 4.7 Flash
Qwen3 8B

GLM 4.7 Flash Quirks & Gotchas

No developer gotchas reported.

Qwen3 8B Quirks & Gotchas

No developer gotchas reported.