AI Models · Paid vs Paid

GPT-5.6 Sol Paid vs INMercury 2.5 Paid

GPT-5.6 Sol vs Mercury 2.5 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.

GPT-5.6 SolPaidOpenAI
$2 /M input
$10 /M outputManaged API (no infra to run)
TypeProprietary
Context window1.1M tokens
MultimodalYes
Self-hostNo
INMercury 2.5PaidInception
$0.04 /M input
$0.15 /M outputManaged API (no infra to run)
TypeProprietary
Context window260K tokens
MultimodalNo
Self-hostNo
Choose Mercury 2.5 for the lower output price ($0.15/M vs $10/M). Choose GPT-5.6 Sol if you need the larger 1.1M context window.

GPT-5.6 Sol vs Mercury 2.5 specs

SpecGPT-5.6 SolMercury 2.5Winner
MakerOpenAIInception
TypeProprietaryProprietary
Context window1.1M tokens260K tokensGPT-5.6 Sol
Input price$2/M$0.04/MINMercury 2.5
Output price$10/M$0.15/MINMercury 2.5
Vision / multimodalYesNoGPT-5.6 Sol
Tool / function callingYesYes= Tie
Self-hostableNo (API only)No (API only)
LicenseProprietaryProprietary

Price gap & when to choose each

67×cheaper per output token

Mercury 2.5 is ~67× cheaper than GPT-5.6 Sol on output tokens ($0.15 vs $10 per M tokens).

Choose GPT-5.6 Sol if…
  • You want frontier performance through a managed API
  • You need the longer 1.1M context window
  • You value reliability & ecosystem
  • You don't want to manage infrastructure
INChoose Mercury 2.5 if…
  • You want frontier performance through a managed API
  • You want the lower output price
  • You value reliability & ecosystem
  • You don't want to manage infrastructure

Feature comparison

CapabilityGPT-5.6 SolMercury 2.5
Open weights (downloadable)
Self-hostable
Runs fully offline
Vision / multimodal
Tool / function calling
1M+ context window

Benchmarks: GPT-5.6 Sol vs Mercury 2.5

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

GPT-5.6 Sol
Mercury 2.5
Intelligence index
47.1
Coding index
77.4
GPQA
94.1%
Humanity's Last Exam
49.5%
Long Context Reasoning
84%
SciCode
57.1%
IFBench
72.7%
τ²-Bench
85.1%
τ-Bench Banking
44.3%
Terminal-Bench
88%
Terminal-Bench Hard
65.9%
Speed
68.7 tok/s
Latency
124.83s
Intelligence per $
5.9

Benchmark data by Artificial Analysis.

How GPT-5.6 Sol and Mercury 2.5 score

🤝 Neck and neck on these criteria (3.2 vs 3.0 / 5).
CriterionGPT-5.6 SolMercury 2.5
Cost-efficiency3.55.0
Context window5.04.0
Openness1.51.5
Self-hosting1.01.0
Multimodality5.03.5

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

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...

Mercury 2.5 Paid

Inception · Proprietary

Mercury 2.5 is the fastest reasoning LLM, and the latest diffusion LLM (dLLM) from Inception. Instead of generating tokens sequentially, Mercury 2.5 produces and refines multiple tokens in parallel, achieving...

Frequently asked questions

GPT-5.6 Sol vs Mercury 2.5 — which is cheaper?

Mercury 2.5 is cheaper on output ($0.15/M vs $10/M).

Which has the larger context window?

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

GPT-5.6 Sol vs Mercury 2.5 — which should I pick in 2026?

Choose Mercury 2.5 for the lower output price ($0.15/M vs $10/M). Choose GPT-5.6 Sol if you need the larger 1.1M context window.

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