GLM-5.3-Flash
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Chat comparison
GLM-5.3-Flashvsgpt-6-astra
Compare the things that matter before you build: current price, capabilities, and latest aggregated LLM7 statistics.
Current pricing
See the cost difference clearly
gpt-6-astra
Checking current pricing…
What's different
Only capabilities that differ between these models are listed. Green highlights the broader supported option or larger context window.
Context window
GLM-5.3-Flash
400,000 tokens
gpt-6-astraBetter fit
1,000,000 tokens
Input formats
GLM-5.3-Flash
text
gpt-6-astra
text, image
Vision
GLM-5.3-Flash
Not supported
gpt-6-astraBetter fit
Supported
JSON mode
GLM-5.3-Flash
Not supported
gpt-6-astraBetter fit
Supported
Latest LLM7 statistics
Recent aggregated percentages and response-time metrics from LLM7, not a global model benchmark or traffic disclosure.
Recent stability
GLM-5.3-Flash
82.77%
gpt-6-astra
92.36%
Average response time
GLM-5.3-Flash
29,977.45 ms
gpt-6-astra
14,829.48 ms
P95 API latency
GLM-5.3-Flash
60,000 ms
gpt-6-astra
60,000 ms
Side-by-side trends
Shared charts make the observed differences easier to read. Metrics without enough history stay hidden.
Request success rate
Both models on the same scale
GLM-5.3-Flash: 86%gpt-6-astra: 100%
Average API latency
Both models on the same scale
GLM-5.3-Flash: 23,005 msgpt-6-astra: 6,466 ms
P95 API latency
Both models on the same scale
GLM-5.3-Flash: 60,000 msgpt-6-astra: 30,000 ms
Estimate your workload
Published rates are loaded from the pricing API; per-request quotes are billed from actual provider usage.
Checking current pricing…
Checking current pricing…
Quick take
- gpt-6-astra has a larger context window.
- gpt-6-astra supports image input while the other model does not.
- gpt-6-astra recorded higher recent LLM7 stability during this period.