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Google Gemini Pro Latest vs GLM 4.7 Flash

Detailed technical comparison between Google Gemini Pro Latest (Google) 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

Google Gemini Pro Latest: 6 WinsvsGLM 4.7 Flash: 0 Wins
Context Leader

Google Gemini Pro Latest

1,048,576 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

GLM 4.7 Flash

$0.06 / MTok
Googleactive

Google Gemini Pro Latest

This model always redirects to the latest model in the Google Gemini Pro family.

View Google Gemini Pro Latest 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
SpecificationGoogle Gemini Pro LatestGLM 4.7 Flash
ProviderGoogleZhipu AI
Context Window1,048,576 tokens๐Ÿ†202,752 tokens
Agent SuitabilityNot yet benchmarkedNot yet benchmarked
Time to First Token (TTFT)No public TTFT dataNo public TTFT data
Deployment Modelmanaged apimanaged api
Production StabilityBeta Access (est.)Stable GA (est.)
API AvailableYesYes
Released Date2026-04-272026-01-19

API Pricing Comparison

Input Price per Million Tokens

Google Gemini Pro Latest

$2.00

GLM 4.7 Flash

$0.06

Output Price per Million Tokens

Google Gemini Pro Latest

$12.00

GLM 4.7 Flash

$0.40

๐Ÿ’ก Cost Ratio: GLM 4.7 Flash is 33.3x cheaper per input token than Google Gemini Pro Latest.

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
88.6%vs77.2%+11.4% Google Gemini Pro Latest
Google Gemini Pro Latest ๐Ÿ†
GLM 4.7 Flash
HumanEvalPython coding & logic synthesis
84.4%vs78.5%+5.9% Google Gemini Pro Latest
Google Gemini Pro Latest ๐Ÿ†
GLM 4.7 Flash
MATHComplex mathematical problem solving
65.6%vs40.0%+25.6% Google Gemini Pro Latest
Google Gemini Pro Latest ๐Ÿ†
GLM 4.7 Flash
GPQAGraduate-level expert reasoning
47.0%vs31.0%+16.0% Google Gemini Pro Latest
Google Gemini Pro Latest ๐Ÿ†
GLM 4.7 Flash
HellaSwagCommonsense reasoning and inference
86.2%vs80.0%+6.2% Google Gemini Pro Latest
Google Gemini Pro Latest ๐Ÿ†
GLM 4.7 Flash
MT-BenchMulti-turn conversation flow quality
8.9%vs8.1%+0.8% Google Gemini Pro Latest
Google Gemini Pro Latest ๐Ÿ†
GLM 4.7 Flash

Google Gemini Pro Latest Quirks & Gotchas

No developer gotchas reported.

GLM 4.7 Flash Quirks & Gotchas

No developer gotchas reported.

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