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Grok 4.20 vs GLM 4.7 Flash

Detailed technical comparison between Grok 4.20 (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 4.20: 6 WinsvsGLM 4.7 Flash: 0 Wins
Context Leader

Grok 4.20

2,000,000 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 4.20

Grok 4.20 is a reasoning model from xAI with industry-leading speed and agentic tool calling capabilities. It combines the lowest hallucination rate on the market with strict prompt adherance, delivering...

View Grok 4.20 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 4.20GLM 4.7 Flash
ProviderxAIZhipu AI
Context Window2,000,000 tokens🏆202,752 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apimanaged api
Production Stabilitybetastable
API AvailableYesYes
Released Date2026-03-312026-01-19

API Pricing Comparison

Input Price per Million Tokens

Grok 4.20

$1.25

GLM 4.7 Flash

$0.06

Output Price per Million Tokens

Grok 4.20

$2.50

GLM 4.7 Flash

$0.40

💡 Cost Ratio: GLM 4.7 Flash is 20.8x cheaper per input token than Grok 4.20.

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
81.0%vs77.2%+3.8% Grok 4.20
Grok 4.20 🏆
GLM 4.7 Flash
HumanEvalPython coding & logic synthesis
79.2%vs78.5%+0.7% Grok 4.20
Grok 4.20 🏆
GLM 4.7 Flash
MATHComplex mathematical problem solving
56.4%vs40.0%+16.4% Grok 4.20
Grok 4.20 🏆
GLM 4.7 Flash
GPQAGraduate-level expert reasoning
38.4%vs31.0%+7.4% Grok 4.20
Grok 4.20 🏆
GLM 4.7 Flash
HellaSwagCommonsense reasoning and inference
80.6%vs80.0%+0.6% Grok 4.20
Grok 4.20 🏆
GLM 4.7 Flash
MT-BenchMulti-turn conversation flow quality
8.7%vs8.1%+0.6% Grok 4.20
Grok 4.20 🏆
GLM 4.7 Flash

Grok 4.20 Quirks & Gotchas

No developer gotchas reported.

GLM 4.7 Flash Quirks & Gotchas

No developer gotchas reported.

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