Atlas / Models / Inception / Inception: Mercury 3

Inception: Mercury 3✓ Catalog verified

inception/mercury-3

Mercury 3 is a diffusion-based language model from Inception, and the lab's most capable model to date. It is suited for agentic workflows and real-time applications where latency compounds, such...

Input price
$0.10 /1M
Output price
$0.35 /1M
Context
1M
Modalities
text
Released
Oct 16, 2026
Tool calling
✓ Yes
Atlas signal
90/100
01

Overview

Mercury 3 is a diffusion-based language model from Inception, and the lab's most capable model to date. It is suited for agentic workflows and real-time applications where latency compounds, such...

Access: available through the official Inception API. Context window: 1M.

Pricing and metadata from the ModelsAtlas catalog.Last refreshed Oct 20, 2026
02

Specifications

API identifierinception/mercury-3
ProviderInception
Model typeText LLM
Context window1M catalog
Input modalitiestext
Output modalitiestext
ReleasedOct 16, 2026
ModeratedNo
Architecture modalitytext->text
Supported parameters
include_reasoningmax_tokensreasoningreasoning_effortresponse_formatstopstructured_outputstemperaturetool_choicetools
Source: provider documentation + catalog feedMethodology →
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03

Pricing

Live pricing components for inception/mercury-3 as published in the catalog.

$0.10
Input /1M
$0.35
Output /1M
—
Per request
—
Per image
Pricing componentRaw unit priceNormalizedUnit
Prompt tokens$1e-7$0.10 / 1MPer input token
Completion tokens$3.5e-7$0.35 / 1MPer output token
Request feeN/AN/APer request
Image feeN/AN/APer image unit
Web search feeN/AN/APer search request
Source: catalog pricing feedCompare all pricing →Cheapest models →
04

Cost calculator

Estimate monthly spend from your own token volumes.

Scale / Volume

Estimated Total Cost

$0.12Calculated from current list pricing in the ModelsAtlas catalog.
05

Capabilities

CapabilityStatusWhat it means
Visual UnderstandingNot advertisedImage and document analysis support
Audio ProcessingNot advertisedSpeech and voice aligned flows
Tool Calling✓ SupportedSupports tools / function calling
Self-HostingNot advertisedDeploy outside managed APIs
Derived from catalog capability tags and supported parameters
06

Capability signals

Directional signals derived from model metadata and capability tags — not official benchmark submissions.

Inception: Mercury 3
MMLU Signal (Reasoning)
95signal
Coding Signal (HumanEval proxy)
92signal
Math Signal (GSM8K proxy)
87signal
Science Signal (GPQA proxy)
87signal
Estimated from metadata — not an official benchmark runAll benchmarks →Methodology →
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07

Quick start

Call Inception: Mercury 3 through an OpenAI-compatible client.

from openai import OpenAI

client = OpenAI(
    base_url="https://openrouter.ai/api/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="inception/mercury-3",
    messages=[{"role": "user", "content": "Explain quantum physics."}]
)

print(response.choices[0].message.content)
08

Alternatives

Closest models by context window from a different provider.

09

Sources & attribution

Pricing and metadata are maintained in the ModelsAtlas catalog.

Capability bars use metadata tags — directional estimates onlyHow we source and verify data →
10

Frequently asked questions

How much does Inception: Mercury 3 cost?

$0.10 per 1M input tokens and $0.35 per 1M output tokens on the official Inception API.

What is the context window of Inception: Mercury 3?

Inception: Mercury 3 supports up to 1M tokens of context.

Does Inception: Mercury 3 support tool / function calling?

Yes, Inception: Mercury 3 supports tool / function calling — you can register tools and the model will emit structured tool calls.

How do I access Inception: Mercury 3?

Use the official Inception API with the model id `inception/mercury-3`. See the Quick start section above for code examples.

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