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GPT-5.4 Image 2 vs GLM 4.7 Flash

Detailed technical comparison between GPT-5.4 Image 2 (OpenAI) 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

GPT-5.4 Image 2: 6 WinsvsGLM 4.7 Flash: 0 Wins
Context Leader

GPT-5.4 Image 2

272,000 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

GLM 4.7 Flash

$0.06 / MTok
OpenAIactive

GPT-5.4 Image 2

[GPT-5.4](https://openrouter.ai/openai/gpt-5.4) Image 2 combines OpenAI's GPT-5.4 model with state-of-the-art image generation capabilities from GPT Image 2. It enables rich multimodal workflows, allowing users to seamlessly move between reasoning, coding, and...

View GPT-5.4 Image 2 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
SpecificationGPT-5.4 Image 2GLM 4.7 Flash
ProviderOpenAIZhipu AI
Context Window272,000 tokens๐Ÿ†202,752 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-212026-01-19

API Pricing Comparison

Input Price per Million Tokens

GPT-5.4 Image 2

$8.00

GLM 4.7 Flash

$0.06

Output Price per Million Tokens

GPT-5.4 Image 2

$15.00

GLM 4.7 Flash

$0.40

๐Ÿ’ก Cost Ratio: GLM 4.7 Flash is 133.3x cheaper per input token than GPT-5.4 Image 2.

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
92.2%vs77.2%+15.0% GPT-5.4 Image 2
GPT-5.4 Image 2 ๐Ÿ†
GLM 4.7 Flash
HumanEvalPython coding & logic synthesis
93.4%vs78.5%+14.9% GPT-5.4 Image 2
GPT-5.4 Image 2 ๐Ÿ†
GLM 4.7 Flash
MATHComplex mathematical problem solving
80.6%vs40.0%+40.6% GPT-5.4 Image 2
GPT-5.4 Image 2 ๐Ÿ†
GLM 4.7 Flash
GPQAGraduate-level expert reasoning
59.0%vs31.0%+28.0% GPT-5.4 Image 2
GPT-5.4 Image 2 ๐Ÿ†
GLM 4.7 Flash
HellaSwagCommonsense reasoning and inference
91.2%vs80.0%+11.2% GPT-5.4 Image 2
GPT-5.4 Image 2 ๐Ÿ†
GLM 4.7 Flash
MT-BenchMulti-turn conversation flow quality
9.4%vs8.1%+1.3% GPT-5.4 Image 2
GPT-5.4 Image 2 ๐Ÿ†
GLM 4.7 Flash

GPT-5.4 Image 2 Quirks & Gotchas

No developer gotchas reported.

GLM 4.7 Flash Quirks & Gotchas

No developer gotchas reported.

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