gpt-6-astra
Chat comparison
gpt-6-astravsmistral-Nemo-Instruct-2407
Compare the things that matter before you build: current price, capabilities, and latest aggregated LLM7 statistics.
Current pricing
See the cost difference clearly
mistral-Nemo-Instruct-2407
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
mistral-Nemo-Instruct-2407
128,000 tokens
Input formats
gpt-6-astra
text, image
mistral-Nemo-Instruct-2407
text
Vision
gpt-6-astraBetter fit
Supported
mistral-Nemo-Instruct-2407
Not supported
Tool calling
gpt-6-astraBetter fit
Supported
mistral-Nemo-Instruct-2407
Not supported
Reasoning
gpt-6-astraBetter fit
Supported
mistral-Nemo-Instruct-2407
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
88.46%
mistral-Nemo-Instruct-2407
99.39%
Average response time
gpt-6-astra
17,699.29 ms
mistral-Nemo-Instruct-2407
4,923.67 ms
P95 API latency
gpt-6-astra
60,000 ms
mistral-Nemo-Instruct-2407
30,000 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.
- mistral-Nemo-Instruct-2407 recorded higher recent LLM7 stability during this period.
- mistral-Nemo-Instruct-2407 recorded a lower observed p95 API latency on LLM7 during this period.