Is Claude Opus 4.8 cheaper than GPT-5.6 Sol?

Same input price ($5), but Claude Opus 4.8 is 17% cheaper on output ($25 vs $30). For a standard request (1,500 input, 400 output tokens), Opus 4.8 costs $0.0175 vs Sol's $0.0195 — about 10% less.

Which has a larger context window: GPT-5.6 Sol or Claude Opus 4.8?

GPT-5.6 Sol has a 1.05M token context window, which is 5% larger than Claude Opus 4.8's 1M tokens. For most practical purposes, both handle extremely long documents, but Sol has a slight edge.

When should I choose GPT-5.6 Sol over Claude Opus 4.8?

Choose GPT-5.6 Sol when you need the extra 5% context window (1.05M vs 1M) for processing very large codebases or documents, or when OpenAI's specific training advantages matter for your use case.

Can I mix GPT-5.6 Sol and Claude Opus 4.8 to optimize costs?

Yes. Use Claude Opus 4.8 for most requests (17% cheaper on output) and route tasks requiring the largest context window to GPT-5.6 Sol. This multi-model strategy can save 10-15% vs using Sol for everything.

Premium Showdown

GPT-5.6 Sol vs Claude Opus 4.8

Same input price, different output costs. Which premium model offers better value?

Last verified: Jul 13, 2026 · See all 67 models ranked →

Feature	GPT-5.6 Sol	Claude Opus 4.8
Input price (per 1M tokens)	$5.00	$5.00
Output price (per 1M tokens)	$30.00	$25.00
Context window	1.05M tokens	1M tokens
Standard request cost	$0.0195	$0.0175
Output-heavy request cost	$0.06	$0.05

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Input tokens / request

Output tokens / request

Requests / day

OpenAI

GPT-5.6 Sol

estimated monthly cost

Input cost$0

Output cost$0

Per request$0

Anthropic

Claude Opus 4.8

estimated monthly cost

Input cost$0

Output cost$0

Per request$0

The Verdict

Claude Opus 4.8 wins on price. GPT-5.6 Sol wins on context.

Claude Opus 4.8 ($5/$25) is 17% cheaper on output than GPT-5.6 Sol ($5/$30). Same input price. For most workloads, Opus 4.8 offers better value. But GPT-5.6 Sol has a 5% larger context window (1.05M vs 1M), which matters for processing very large documents or codebases.

When to Choose Claude Opus 4.8

Output-heavy tasks: Chatbots, code generation, summarization — Opus 4.8's $25 output price beats Sol's $30 by 17%.
Cost-sensitive premium work: Same input price, 17% less on output. For high-volume APIs, this adds up fast.
Anthropic ecosystem: If you're already using Claude models and want to stay in the Anthropic ecosystem.

When to Choose GPT-5.6 Sol

Massive context needs: The 1.05M context window is the largest available. If you need to process entire codebases or 500K+ token documents, Sol has the edge.
OpenAI ecosystem: If you're already using OpenAI's API and want to stay in their ecosystem.
Specific training advantages: OpenAI's models may have advantages for certain task types — test both for your specific use case.

Cost Comparison: Real-World Scenarios

Chatbot (1,000 requests/day, 1,500 input, 400 output)

GPT-5.6 Sol$585.00/mo

Claude Opus 4.8$525.00/mo

Monthly savings$60.00/mo (10%)

Code Generation (200 requests/day, 3,000 input, 1,200 output)

GPT-5.6 Sol$3,600.00/mo

Claude Opus 4.8$3,000.00/mo

Monthly savings$600.00/mo (17%)

RAG Pipeline (500 queries/day, 5,000 input, 800 output)

GPT-5.6 Sol$1,950.00/mo

Claude Opus 4.8$1,750.00/mo

Monthly savings$200.00/mo (10%)

Full Comparison Table

Model	Input/1M	Output/1M	vs GPT-5.6 Sol	Context
GPT-5.6 Sol	$5.00	$30.00	—	1.05M
Claude Opus 4.8	$5.00	$25.00	17% cheaper output	1M
GPT-5.5	$5.00	$30.00	Same price	272K
GPT-5.6 Terra	$2.50	$15.00	50% cheaper input, 50% cheaper output	1.05M
Claude Sonnet 5	$2.00	$10.00	60% cheaper input, 67% cheaper output	1M
Gemini 3.1 Pro	$2.00	$12.00	60% cheaper input, 60% cheaper output	1M
DeepSeek V4 Pro	$0.44	$0.87	91% cheaper input, 97% cheaper output	1M

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