AI Models · Paid vs Paid

Claude Opus 5 Paid vs GPT-5.6 Sol Paid

Claude Opus 5 vs GPT-5.6 Sol compared — price per token, context window, multimodality, openness and which to choose. Full 2026 breakdown.

Prices & specs refreshed from live data · olud.ai

Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.

Claude Opus 5PaidAnthropic
$5 /M input
$25 /M outputManaged API (no infra to run)
TypeProprietary
Context window1M tokens
MultimodalYes
Self-hostNo
GPT-5.6 SolPaidOpenAI
$2 /M input
$10 /M outputManaged API (no infra to run)
TypeProprietary
Context window1.1M tokens
MultimodalYes
Self-hostNo
Choose GPT-5.6 Sol for the lower output price ($10/M vs $25/M). It also gives you the larger 1.1M context window.

Claude Opus 5 vs GPT-5.6 Sol specs

SpecClaude Opus 5GPT-5.6 SolWinner
MakerAnthropicOpenAI
TypeProprietaryProprietary
Context window1M tokens1.1M tokensGPT-5.6 Sol
Input price$5/M$2/MGPT-5.6 Sol
Output price$25/M$10/MGPT-5.6 Sol
Vision / multimodalYesYes= Tie
Tool / function callingYesYes= Tie
Self-hostableNo (API only)No (API only)
LicenseProprietaryProprietary

Price gap & when to choose each

2.5×cheaper per output token

GPT-5.6 Sol is ~2.5× cheaper than Claude Opus 5 on output tokens ($10 vs $25 per M tokens).

Choose Claude Opus 5 if…
  • You want frontier performance through a managed API
  • You value reliability & ecosystem
  • You don't want to manage infrastructure
Choose GPT-5.6 Sol if…
  • You want frontier performance through a managed API
  • You need the longer 1.1M context window
  • You want the lower output price
  • You value reliability & ecosystem
  • You don't want to manage infrastructure

Feature comparison

CapabilityClaude Opus 5GPT-5.6 Sol
Open weights (downloadable)
Self-hostable
Runs fully offline
Vision / multimodal
Tool / function calling
1M+ context window

Benchmarks: Claude Opus 5 vs GPT-5.6 Sol

Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).

Claude Opus 5
GPT-5.6 Sol
Intelligence index
50.7
47.1
Coding index
78
77.4
GPQA
93.2%
94.1%
Humanity's Last Exam
54.9%
49.5%
Long Context Reasoning
79.3%
84%
SciCode
56.4%
57.1%
τ-Bench Banking
42.1%
44.3%
Terminal-Bench
89.1%
88%
IFBench
72.7%
τ²-Bench
85.1%
Terminal-Bench Hard
65.9%
Speed
61.4 tok/s
68.7 tok/s
Latency
36.03s
124.83s
Intelligence per $
5.1
5.9

Benchmark data by Artificial Analysis.

How Claude Opus 5 and GPT-5.6 Sol score

🤝 Neck and neck on these criteria (3.1 vs 3.2 / 5).
CriterionClaude Opus 5GPT-5.6 Sol
Cost-efficiency3.03.5
Context window5.05.0
Openness1.51.5
Self-hosting1.01.0
Multimodality5.05.0

Scores come from live data — output price (cost), context length, open vs closed weights (openness & self-hosting) and vision/tool support (multimodality). Raw task quality isn't scored here; it depends on your benchmark — see the verdict.

What each model is

Claude Opus 5 Paid

Anthropic · Proprietary

Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work. It is particularly strong at end-to-end software tasks, code review and bug finding, visual analysis...

GPT-5.6 Sol Paid

OpenAI · Proprietary

GPT-5.6 Sol is the flagship model in OpenAI's GPT-5.6 series. It is suited for complex reasoning, coding, and agentic workflows, and is particularly strong at command-line and multi-step coding tasks...

Other models in these families

These variants are tracked but not compared here — one page per family keeps the comparison readable.

Other variants tracked
Claude Opus 5 (batch)Claude Opus 4.8Claude Opus 4.8 (batch)Claude Opus 4.7Claude Opus 4.7 (batch)Claude Opus 4.6Claude Opus 4.6 (batch)Claude Opus 4.5Claude Opus 4.5 (batch)Claude Opus 4.1Claude Opus 4.1 (batch)Claude Opus 4

Frequently asked questions

Claude Opus 5 vs GPT-5.6 Sol — which is cheaper?

GPT-5.6 Sol is cheaper on output ($10/M vs $25/M).

Which has the larger context window?

GPT-5.6 Sol offers the larger context window (1.1M tokens).

Claude Opus 5 vs GPT-5.6 Sol — which should I pick in 2026?

Choose GPT-5.6 Sol for the lower output price ($10/M vs $25/M). It also gives you the larger 1.1M context window.

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