AI Models · Paid vs Paid

Sonar Deep Research Paid vs INMercury 2.5 Paid

Sonar Deep Research 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.

Sonar Deep ResearchPaidPerplexity
$2 /M input
$8 /M outputManaged API (no infra to run)
TypeProprietary
Context window128K tokens
MultimodalNo
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 $8/M). It also gives you the larger 260K context window.

Sonar Deep Research vs Mercury 2.5 specs

SpecSonar Deep ResearchMercury 2.5Winner
MakerPerplexityInception
TypeProprietaryProprietary
Context window128K tokens260K tokensINMercury 2.5
Input price$2/M$0.04/MINMercury 2.5
Output price$8/M$0.15/MINMercury 2.5
Vision / multimodalNoNo
Tool / function callingNoYesINMercury 2.5
Self-hostableNo (API only)No (API only)
LicenseProprietaryProprietary

Price gap & when to choose each

53×cheaper per output token

Mercury 2.5 is ~53× cheaper than Sonar Deep Research on output tokens ($0.15 vs $8 per M tokens).

Choose Sonar Deep Research if…
  • You want frontier performance through a managed API
  • 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 need the longer 260K context window
  • You want the lower output price
  • You value reliability & ecosystem
  • You don't want to manage infrastructure

Feature comparison

CapabilitySonar Deep ResearchMercury 2.5
Open weights (downloadable)
Self-hostable
Runs fully offline
Vision / multimodal
Tool / function calling
1M+ context window

How Sonar Deep Research and Mercury 2.5 score

🏆 Best value & openness: Mercury 2.5 (3.0 vs 2.3 / 5)
CriterionSonar Deep ResearchMercury 2.5
Cost-efficiency3.55.0
Context window3.54.0
Openness1.51.5
Self-hosting1.01.0
Multimodality2.03.5

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

Sonar Deep Research Paid

Perplexity · Proprietary

Sonar Deep Research is a research-focused model designed for multi-step retrieval, synthesis, and reasoning across complex topics. It autonomously searches, reads, and evaluates sources, refining its approach as it gathers...

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

Sonar Deep Research vs Mercury 2.5 — which is cheaper?

Mercury 2.5 is cheaper on output ($0.15/M vs $8/M).

Which has the larger context window?

Mercury 2.5 offers the larger context window (260K tokens).

Sonar Deep Research vs Mercury 2.5 — which should I pick in 2026?

Choose Mercury 2.5 for the lower output price ($0.15/M vs $8/M). It also gives you the larger 260K context window.

People also compare

Explore more open-source AI

Browse the full open-source model leaderboard, thousands of tools and live benchmarks — all in one place.

Open the leaderboard →