claude-opus-4-8
Input $2.25 USD · Output $12.19 USD / 1M tokens
chat comparison
claude-opus-4-8vsgpt-oss
Compare the things that matter before you build: current price, capabilities, and latest aggregated LLM7 statistics.
Current pricing
See the cost difference clearly
gpt-oss
Input $0.05 USD · Output $0.18 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
claude-opus-4-8Better fit
1,000,000 tokens
gpt-oss
131,072 tokens
Input formats
claude-opus-4-8
text, image
gpt-oss
text
Vision
claude-opus-4-8Better fit
Supported
gpt-oss
Not supported
Latest LLM7 statistics
Recent aggregated percentages and response-time metrics from LLM7, not a global model benchmark or traffic disclosure.
Recent stability
claude-opus-4-8
95.53%
gpt-oss
96.52%
Average response time
claude-opus-4-8
11,918.96 ms
gpt-oss
10,787.06 ms
P95 API latency
claude-opus-4-8
60,000 ms
gpt-oss
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
claude-opus-4-8: 99.5%gpt-oss: 98.6%
Average API latency
Both models on the same scale
claude-opus-4-8: 9,278 msgpt-oss: 8,669 ms
P95 API latency
Both models on the same scale
claude-opus-4-8: 60,000 msgpt-oss: 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
$0.0225
Output estimate
$0.030475
Estimated total
$0.052975
Cost calculator
Adjust the volume to see an instant estimate at the current public price.
01M
Input estimate
$0.0005
Output estimate
$0.00045
Estimated total
$0.00095
Quick take
- claude-opus-4-8 has a larger context window.
- claude-opus-4-8 supports image input while the other model does not.
- The recent stability rates are too close to distinguish meaningfully.