GPT Chat Latest vs GLM 4.7 Flash
Detailed technical comparison between GPT Chat Latest (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.
Comparison Snapshot
GPT Chat Latest
400,000 tokensTie
Equal CapabilityTie
Equal SpeedGLM 4.7 Flash
$0.06 / MTokGPT Chat Latest
GPT Chat Latest points to OpenAI's stable API alias `chat-latest` that always resolves to the latest Instant chat model used in ChatGPT. As OpenAI rolls out new Instant model updates...
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,...
Technical Specifications
🏆 = Superior Spec| Specification | GPT Chat Latest | GLM 4.7 Flash |
|---|---|---|
| Provider | OpenAI | Zhipu AI |
| Context Window | 400,000 tokens🏆 | 202,752 tokens |
| Agent Suitability | Not yet benchmarked | Not yet benchmarked |
| Time to First Token (TTFT) | No public TTFT data | No public TTFT data |
| Deployment Model | managed api | managed api |
| Production Stability | Stable GA (est.) | Stable GA (est.) |
| API Available | Yes | Yes |
| Released Date | 2026-05-05 | 2026-01-19 |
API Pricing Comparison
Input Price per Million Tokens
GPT Chat Latest
$5.00
GLM 4.7 Flash
$0.06
Output Price per Million Tokens
GPT Chat Latest
$30.00
GLM 4.7 Flash
$0.40
💡 Cost Ratio: GLM 4.7 Flash is 83.3x cheaper per input token than GPT Chat Latest.
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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 (0–100%)Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.
GPT Chat Latest Quirks & Gotchas
No developer gotchas reported.
GLM 4.7 Flash Quirks & Gotchas
No developer gotchas reported.
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