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Grok 4.3 vs GLM 4.7 Flash

Detailed technical comparison between Grok 4.3 (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.

โšก Executive Summary & Verdict

Comparison Snapshot

Grok 4.3: 6 WinsvsGLM 4.7 Flash: 0 Wins
Context Leader

Grok 4.3

1,000,000 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 4.3

Grok 4.3 is a reasoning model from xAI. It accepts text and image inputs with text output, and is suited for agentic workflows, instruction-following tasks, and applications requiring high factual...

View Grok 4.3 Full Specs โ†’
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 โ†’

Technical Specifications

๐Ÿ† = Superior Spec
SpecificationGrok 4.3GLM 4.7 Flash
ProviderxAIZhipu AI
Context Window1,000,000 tokens๐Ÿ†202,752 tokens
Agent Suitability87/100N/A
Time to First Token (TTFT)400 msN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-302026-01-19

API Pricing Comparison

Input Price per Million Tokens

Grok 4.3

$1.25

GLM 4.7 Flash

$0.06

Output Price per Million Tokens

Grok 4.3

$2.50

GLM 4.7 Flash

$0.40

๐Ÿ’ก Cost Ratio: GLM 4.7 Flash is 20.8x cheaper per input token than Grok 4.3.

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.

Benchmark Performance Metrics

Standardized Scores (0โ€“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
92.4%vs77.2%+15.2% Grok 4.3
Grok 4.3 ๐Ÿ†
GLM 4.7 Flash
HumanEvalPython coding & logic synthesis
94.5%vs78.5%+16.0% Grok 4.3
Grok 4.3 ๐Ÿ†
GLM 4.7 Flash
MATHComplex mathematical problem solving
91.0%vs40.0%+51.0% Grok 4.3
Grok 4.3 ๐Ÿ†
GLM 4.7 Flash
GPQAGraduate-level expert reasoning
81.0%vs31.0%+50.0% Grok 4.3
Grok 4.3 ๐Ÿ†
GLM 4.7 Flash
HellaSwagCommonsense reasoning and inference
97.5%vs80.0%+17.5% Grok 4.3
Grok 4.3 ๐Ÿ†
GLM 4.7 Flash
MT-BenchMulti-turn conversation flow quality
9.4%vs8.1%+1.3% Grok 4.3
Grok 4.3 ๐Ÿ†
GLM 4.7 Flash

Grok 4.3 Quirks & Gotchas

  • โ–ธStrong coding performance โ€” competitive with Claude Sonnet at similar price point
  • โ–ธUpgrade to Grok 4.20 for improved reasoning and tool calling

GLM 4.7 Flash Quirks & Gotchas

No developer gotchas reported.

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