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Grok Build 0.1 vs GLM 4.7 Flash

Detailed technical comparison between Grok Build 0.1 (xAI) and GLM 4.7 Flash (Zhipu AI). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.

⚡ Executive Summary & Verdict

Comparison Snapshot

Grok Build 0.1: 5 WinsvsGLM 4.7 Flash: 1 Win
Context Leader

Grok Build 0.1

256,000 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

GLM 4.7 Flash

$0.06 / MTok
xAIactive

Grok Build 0.1

Grok Build 0.1 is xAI’s fast coding model trained specifically for agentic software engineering workflows. It supports text and image inputs with text output, and is optimized for interactive coding...

View Grok Build 0.1 Full Specs →
Zhipu AIactive

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 GLM 4.7 Flash Full Specs →

Technical Specifications

🏆 = Superior Spec
SpecificationGrok Build 0.1GLM 4.7 Flash
ProviderxAIZhipu AI
Context Window256,000 tokens🏆202,752 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-05-202026-01-19

API Pricing Comparison

Input Price per Million Tokens

Grok Build 0.1

$1.00

GLM 4.7 Flash

$0.06

Output Price per Million Tokens

Grok Build 0.1

$2.00

GLM 4.7 Flash

$0.40

💡 Cost Ratio: GLM 4.7 Flash is 16.7x cheaper per input token than Grok Build 0.1.

Want to test both models live?

Run side-by-side prompt benchmarks in our dynamic multi-model Sandbox. Compare execution speeds, latency metrics, and compute actual costs in real-time.

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Benchmark Performance Metrics

Standardized Scores (0–100%)

Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.

MMLUGeneral knowledge & multi-task understanding
79.6%vs77.2%+2.4% Grok Build 0.1
Grok Build 0.1 🏆
GLM 4.7 Flash
HumanEvalPython coding & logic synthesis
77.8%vs78.5%+0.7% GLM 4.7 Flash
Grok Build 0.1
GLM 4.7 Flash 🏆
MATHComplex mathematical problem solving
55.0%vs40.0%+15.0% Grok Build 0.1
Grok Build 0.1 🏆
GLM 4.7 Flash
GPQAGraduate-level expert reasoning
40.4%vs31.0%+9.4% Grok Build 0.1
Grok Build 0.1 🏆
GLM 4.7 Flash
HellaSwagCommonsense reasoning and inference
82.6%vs80.0%+2.6% Grok Build 0.1
Grok Build 0.1 🏆
GLM 4.7 Flash
MT-BenchMulti-turn conversation flow quality
8.5%vs8.1%+0.4% Grok Build 0.1
Grok Build 0.1 🏆
GLM 4.7 Flash

Grok Build 0.1 Quirks & Gotchas

No developer gotchas reported.

GLM 4.7 Flash Quirks & Gotchas

No developer gotchas reported.

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