gpt-6-astra
Chat comparison
gpt-6-astravsminimax-m3
Compare the things that matter before you build: current price, capabilities, and latest aggregated LLM7 statistics.
Current pricing
See the cost difference clearly
minimax-m3
What's different
Only capabilities that differ between these models are listed. Green highlights the broader supported option or larger context window.
Context window
gpt-6-astraBetter fit
1,000,000 tokens
minimax-m3
512,000 tokens
Input formats
gpt-6-astra
text, image
minimax-m3
text
Vision
gpt-6-astraBetter fit
Supported
minimax-m3
Not supported
Latest LLM7 statistics
Recent aggregated percentages and response-time metrics from LLM7, not a global model benchmark or traffic disclosure.
Recent stability
gpt-6-astra
95.39%
minimax-m3
100%
Average response time
gpt-6-astra
13,252.21 ms
minimax-m3
18,868.2 ms
P95 API latency
gpt-6-astra
60,000 ms
minimax-m3
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
Average API latency
Both models on the same scale
P95 API latency
Both models on the same scale
Estimate your workload
Published rates are loaded from the pricing API; per-request quotes are billed from actual provider usage.
Quick take
- gpt-6-astra has a larger context window.
- gpt-6-astra supports image input while the other model does not.
- minimax-m3 recorded higher recent LLM7 stability during this period.