gemma4:31b
Input $0.07 USD · Output $0.23 USD / 1M tokens
chat comparison
gemma4:31bvsmistral-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
gemma4:31bBetter fit
262,000 tokens
mistral-Nemo-Instruct-2407
128,000 tokens
Tool calling
gemma4:31bBetter 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
gemma4:31b
99.59%
mistral-Nemo-Instruct-2407
98.91%
Average response time
gemma4:31b
5,129.68 ms
mistral-Nemo-Instruct-2407
4,212.64 ms
P95 API latency
gemma4:31b
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
gemma4:31b: 99.8%mistral-Nemo-Instruct-2407: 99.3%
Average API latency
Both models on the same scale
gemma4:31b: 5,118 msmistral-Nemo-Instruct-2407: 3,021 ms
P95 API latency
Both models on the same scale
gemma4:31b: 30,000 msmistral-Nemo-Instruct-2407: 30,000 ms
Estimate your workload
Fixed-price models can be estimated directly; dynamic models use recent references and are billed from actual provider usage.
Cost calculator
Adjust the volume to see an instant estimate at the current public price.
01M
Input estimate
$0.0007
Output estimate
$0.000575
Estimated total
$0.001275
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
- gemma4:31b has a larger context window.
- The recent stability rates are too close to distinguish meaningfully.