GPT-6.1 Sol vs Claude Opus 4.8: Pricing Comparison
Compare pricing, capabilities, and costs for your LLM workloads.
OpenAI
GPT-6.1 Sol
Pricing (per 1M tokens)
Input$2.00
Output$10.00
Cached Input$0.1000
Batch Input$1.00
Batch Output$5.00
Context & Output
Context Window1M tokens
Max Output128K tokens
Capabilities
Categoryflagship
Multimodaltext + image
Fine-tuningNo
StreamingYes
Anthropic
Claude Opus 4.8
Pricing (per 1M tokens)
Input$5.00
Output$25.00
Cached Input$0.5000
Batch Input$2.50
Batch Output$12.50
Context & Output
Context Window1M tokens
Max Output128K tokens
Capabilities
Categoryflagship
Multimodaltext + image
Fine-tuningNo
StreamingYes
Quick Verdict
Cheaper Input Price
GPT-6.1 Sol
60.0% cheaper
Cheaper Output Price
GPT-6.1 Sol
60.0% cheaper
Larger Context Window
Claude Opus 4.8
+0 tokens
Cost Comparison
Sample workload: 1,000,000 input tokens + 1,000,000 output tokens
GPT-6.1 Sol
$12.00
$2.00/1M input + $10.00/1M output
Claude Opus 4.8
$30.00
$5.00/1M input + $25.00/1M output
GPT-6.1 Sol is 60.0% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, GPT-6.1 Sol or Claude Opus 4.8?
For input tokens, GPT-6.1 Sol is cheaper at $2.00 per 1M tokens. For output tokens, GPT-6.1 Sol is cheaper at $10.00 per 1M tokens. The overall cost depends on your workload's input/output ratio.
What is the context window size of GPT-6.1 Sol vs Claude Opus 4.8?
GPT-6.1 Sol has a context window of 1M tokens, while Claude Opus 4.8 has 1M tokens. GPT-6.1 Sol supports a larger context window of 1M tokens, which is beneficial for processing longer documents.
How do GPT-6.1 Sol and Claude Opus 4.8 compare for batch processing?
Both models support batch processing with discounted rates. GPT-6.1 Sol offers a better batch rate at $1.00 per 1M input tokens. Batch processing is ideal for non-time-sensitive workloads where you can wait for processing.
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