LLM Comparison

Apodex 1.1 vs Maple-Preview

Side-by-side specs, pricing & capabilities · Updated September 2026

Price vs Intelligence

6049372614$0.00$0.00$0.00$0.00$0.00Avg Price per M tokensIntelligenceApodex 1.124.3 / $0.00Maple-Preview50.1 / $0.00

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2/6 models
Same tier:
 ApodexApodex 1.1DeepGroveMaple-Preview
OrganizationApodexApodexDeepGroveDeepGrove
OpenTools Score
24
50
FamilyApodexMaple
StatusCurrentCurrent
Release DateAug 2026Aug 2026
Context Window262K tokens131K tokens
Input PriceFreeFree
Output PriceFreeFree
Pricing NotesThe official API campaign currently sets input, cached input, and output to $0.00 per 1M tokens. Published list prices are $0.30 input, $0.03 cached input, and $3.00 output per 1M tokens; requests above 200K input tokens are charged at twice the listed rates when paid pricing resumes. Apodex has not published the campaign end date, so pricing requires daily revalidation.Open-source model card; no hosted API pricing found in the official source. Local inference costs depend on user hardware and runtime.
Capabilities
textreasoningcodelong-contextstreaming
textreasoningcodeon-device-inference
Max Output262K tokens131K tokens
API Identifierapodex-1.1deepgrove/maple-preview
Benchmarks
Artificial Analysis Intelligence Index v4.1.1
44artificial-analysis
—
LiveCodeBench v6—
75.1DeepGrove model card
AIME 2026—
87.5DeepGrove model card
HMMT 2026—
78.8DeepGrove model card
GPQA Diamond—
73.5DeepGrove model card
 View Apodex 1.1View Maple-Preview

Cost Calculator

Enter your expected monthly token usage to compare costs.

ModelInputOutputTotal / movs Best
Apodex 1.1Cheapest$0.00$0.00$0.00—
Maple-PreviewCheapest$0.00$0.00$0.00—

Apodex

Apodex 1.1

Apodex 1.1 is a proprietary long-context reasoning model for complex professional work, research, coding, and evidence-heavy analysis through a first-party API.

DeepGrove

Maple-Preview

Maple-Preview is DeepGrove’s open-source 20B-A1B ternary-weight reasoning LLM for efficient on-device inference. The model card reports 20.2B total parameters, 1.49B active parameters, a 131,072-token context window, and 5.31 GB checkpoint size.

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