GPT-5.6 Sol
gpt-5-6-sol
70% in · 30% out mix
Higher = better value
Speed
70/100
Context
1.1M
Tier
power
Claude 3 Opus
claude-3-opus
70% in · 30% out mix
Higher = better value
Speed
50/100
Context
200K
Tier
power
IN-DEPTH ANALYSIS
GPT-5.6 Sol vs Claude 3 Opus: Detailed Comparison
GPT-5.6 Sol is OpenAI's flagship-tier language model with a 1.1M-token context window, excelling at reasoning. Claude 3 Opus from Anthropic is a flagship-tier model supporting 200K tokens in context, with standout performance in reasoning.
GPT-5.6 Sol is both the cheaper and the stronger model here — it costs 62% less than Claude 3 Opus on a typical prompt/completion mix and still leads on combined coding and reasoning by 26 points. There is no tradeoff to weigh on this pair: unless you need something specific from Claude 3 Opus, the cheaper model is simply the better one. GPT-5.6 Sol is priced at $5.00/M input tokens and $30.00/M output tokens. Claude 3 Opus costs $15.00/M input and $75.00/M output.
In independent benchmark evaluations, GPT-5.6 Sol leads with coding scores of 97/100 and reasoning scores of 99/100, compared to Claude 3 Opus's 80/100 in coding and 90/100 in reasoning.
Capability breakdown
Across the five core benchmark categories, here is how GPT-5.6 Sol and Claude 3 Opus stack up head to head:
Best model by task
- coding: GPT-5.6 Sol wins with 97/100
- reasoning: GPT-5.6 Sol wins with 99/100
- data extraction: GPT-5.6 Sol wins with 95/100
- creative tasks: GPT-5.6 Sol wins with 96/100
- vision/multimodal: GPT-5.6 Sol wins with 96/100
Estimated monthly cost at scale
At 10M + 2M per month, GPT-5.6 Sol runs about $110.00 while Claude 3 Opus runs about $300.00 — GPT-5.6 Sol saves roughly $190.00 (63%) every month.
What actually decides it
GPT-5.6 Sol and Claude 3 Opus come from different labs, which means different tokenizers, different API shapes, and a second vendor relationship. The same English text does not produce the same token count on both, so a price-per-million comparison understates the difference — measure your own prompts on each before treating the headline rates as the full story.
GPT-5.6 Sol and Claude 3 Opus are 28 months apart, which is more than one generation in this market. Benchmark comparisons across that gap flatter the older model: it was measured against the evaluations that existed at the time. Treat Claude 3 Opus's scores as a floor for what it does well and be sceptical of a close-looking result.
The context gap is the largest single difference on this pair: GPT-5.6 Sol takes 1.1M tokens against 200K for Claude 3 Opus, roughly 5.3x. That is the difference between feeding in a whole repository or a full contract set and having to chunk it. If your work involves documents you cannot split cleanly, this decides it on its own.
Latency separates them: GPT-5.6 Sol scores 70/100 against 50/100 for Claude 3 Opus, a 20-point gap. That matters for anything a person waits on — chat, autocomplete, interactive tools. For batch and background work it does not, and trading latency for capability there is usually the right call.
One practical asymmetry: GPT-5.6 Sol offers a batch API at 50% off standard rates, and Claude 3 Opus does not. For anything that does not need an answer immediately — nightly enrichment, backfills, evaluation runs — that discount can be worth more than the difference in list price, and it is easy to overlook when comparing headline rates.
GPT-5.6 Sol wins this comparison outright — cheaper and stronger. Choose Claude 3 Opus only if it has a specific capability you need; on price and benchmarks it is behind on both.
Benchmark Comparison
Head-to-head scores across 5 categories — sourced from official evals
Coding
Reasoning
Extraction
Creative
Vision
Speed Score
Context Window
What Is a Token?
Models don't read words — they process tokens.
A token is roughly 4 characters of English text (~¾ of a word). Your API bill is priced per million tokens — understanding this directly reduces your costs.
Short phrase
"Hello, world!"
- GPT-5.6 Sol
- $2.00
- Claude 3 Opus
- $6.48
Business email
One typical email (~200 words)
- GPT-5.6 Sol
- $135.00
- Claude 3 Opus
- $437.40
Code file
50-line Python script
- GPT-5.6 Sol
- $200.00
- Claude 3 Opus
- $648.00
Prices shown are for 100,000 runs of each workload — one run costs a fraction of a cent on both GPT-5.6 Sol and Claude 3 Opus, so the number only becomes meaningful at production volume. Input tokens only; add your output volume in the calculator below.
How to check your token usage
response.usage.total_tokensEvery API response includes a usage object. Sum total_tokens across all calls to get your monthly figure, then use the calculator below.
Your Cost Calculator
Enter your actual monthly token usage to see real savings
Quick Presets
GPT-5.6 Sol
$375.00/mo
$4,500.00/yr
Claude 3 Opus
$990.00/mo
$11,880.00/yr
Annual Savings
$7,380.00 saved per year
GPT-5.6 Sol cheaper · $615.00/mo
Deep-Dive Audit — GPT-5.6 Sol & Claude 3 Opus
Surgically Auditing: Deep Logic
3-YEAR STRATEGIC LOSS PROJECTION
$1,171.404
Without optimization protocols, current model choices will result in $390.468 capital loss per year.
EFFICIENCY SCORE
99%
This model achieves a 99 benchmark score in this category.
CATEGORY GAP
1 pts
Distance from Leader
Competitive Landscape Analysis
Source: MMLU-Pro + GPQA Diamond (Apr 2026)
Category Champion: Claude Fable 5
According to MMLU-Pro + GPQA Diamond (Apr 2026) data, Claude Fable 5 provides the optimum balance for Deep Logic tasks.
Market Score
%100
Savings Rate
%93
Operational Prescription
- Implement model cascading to optimize token spend.
- Analyze complex_reasoning data to leverage local semantic caching.
COST AUDIT PROTOCOL
Overkill Detected
"GPT-5.6 Sol is overpriced for this task type. Claude Fable 5 scores 100 in this category at a fraction of the cost."
Categorical Alternative Opportunity
"Claude Fable 5 leads this category with 100 points according to MMLU-Pro + GPQA Diamond (Apr 2026) data."
Inertia Tax Detected
"85% of traffic can be routed to cheaper models. Fast tier (GPT-5 Nano) and Smart tier (o3-mini) can save $32.54/month."
3-Tier Intelligent Routing Architecture
93% SAVINGS VIA ROUTINGGPT-5 Nano
IQ Score: 72/100
$18.00/yr
o3-mini
IQ Score: 97/100
$277.20/yr
DeepSeek R1
IQ Score: 97/100
$59.184/yr
Without tiered routing, you pay the 'Inertia Tax' — routing all traffic to the most expensive model regardless of task complexity. Tiered cascade eliminates $4,685.616/year in avoidable overhead.
Deep Logic — Model Cost / Quality Matrix
Source: MMLU-Pro + GPQA Diamond (Apr 2026)| Model | Benchmark | Input (per M) | Output (per M) | Annual Cost* | Value Index |
|---|---|---|---|---|---|
Claude Fable 5LEADER | 100/100 | $10.00 | $50.00 | $720.00 | 5/100 |
GPT-5.6 SolSELECTED | 99/100 | $5.00 | $30.00 | $420.00 | 8/100 |
Claude Opus 5 | 98/100 | $5.00 | $25.00 | $360.00 | 9/100 |
Claude Opus 4.6 | 98/100 | $5.00 | $25.00 | $360.00 | 9/100 |
DeepSeek R1BEST VALUE | 97/100 | $0.55 | $2.19 | $32.88 | 100/100 |
Claude Opus 4.8 | 96/100 | $5.00 | $25.00 | $360.00 | 9/100 |
Claude 3 Opus | 90/100 | $15.00 | $75.00 | $1,080.00 | 3/100 |
Llama 3.1 405B | 88/100 | $2.70 | $2.70 | $64.80 | 46/100 |
* Annual cost for given volumes. Value Index = Score / Cost (Higher = Best Value).
// iOPTERA Surgical Routing Wrapper
const auditModel = async (prompt: string) => {
const complexity = measureComplexity(prompt);
// Tactical Cascade Logic
if (complexity < 0.45) {
// Redirect simple tasks to efficient model
return await llm.call("iOPTERA Optimization", prompt);
}
// High-latency routing for complex reasoning
return await llm.call("Claude Fable 5", prompt);
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