gpt-5.6-terra
Input $0.50 USD · Output $2.00 USD / 1M tokens
Minimum request: $0.0002 USD
chat comparison
gpt-5.6-terravsmistral-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
Input $0.03 USD · Output $0.03 USD / 1M tokens
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-5.6-terraBetter fit
1,000,000 tokens
mistral-Nemo-Instruct-2407
128,000 tokens
Tool calling
gpt-5.6-terraBetter 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-5.6-terra
93.75%
mistral-Nemo-Instruct-2407
93.55%
Average response time
gpt-5.6-terra
8,637.95 ms
mistral-Nemo-Instruct-2407
5,679.73 ms
P95 API latency
gpt-5.6-terra
30,000 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
gpt-5.6-terra: 100%mistral-Nemo-Instruct-2407: 97.7%
Average API latency
Both models on the same scale
gpt-5.6-terra: 1,316 msmistral-Nemo-Instruct-2407: 4,789 ms
P95 API latency
Both models on the same scale
gpt-5.6-terra: 2,000 msmistral-Nemo-Instruct-2407: 30,000 ms
Estimate your workload
Try the same request volume against both public price lists.
Cost calculator
Adjust the volume to see an instant estimate at the current public price.
01M
Input estimate
$0.005
Output estimate
$0.005
Estimated total
$0.01
Cost calculator
Adjust the volume to see an instant estimate at the current public price.
01M
Input estimate
$0.0003
Output estimate
$0.000075
Estimated total
$0.000375
Quick take
- gpt-5.6-terra has a larger context window.
- The recent stability rates are too close to distinguish meaningfully.